News Desk, Author at ITDigest

Why Annual Third-Party Cyber Risk Assessments Are No Longer Enough

News Desk — Tue, 25 Aug 2026 12:54:33 +0000

As regulators tighten expectations and cyber attacks increasingly exploit supply chains, organisations must shift from periodic vendor assessments to continuous third-party cyber resilience.

For years, third-party cyber risk management focused primarily on vendor due diligence and annual security assessments. The objective was simple: determine whether a supplier met an acceptable level of security at a specific point in time.

That approach no longer reflects today’s threat landscape.

Cyber resilience is no longer about protecting only your own environment; it’s about maintaining operations when a third-party’s environment fails. Whether through software vulnerabilities, or failures in managed service providers, cloud platforms, or outsourced business services, third-party technology now features in a significant proportion of cyber incidents and investigations.

As a result, organisations are being challenged to move beyond traditional vendor assessments and adopt a resilience-focused approach to managing supply chain risk.

Also Read: Help AG Achieves Major Milestone in Sovereign Security Operations with DESC CyberForce SOC Certification

The Regulatory Shift

With regulators across the whole of Europe recognising the often business-critical risk posed by third parties, several major frameworks now place explicit responsibility on organisations to understand, monitor and actively manage their supply chain exposure:

DORA (Digital Operational Resilience Act) in the EU introduces strict requirements for financial services organisations and their IT service providers.

NIS2 expands cybersecurity obligations across a much broader range of critical sectors across Europe.

The common message is clear: organisations are expected to maintain continuous oversight of third-party cyber risk, not simply conduct a compliance exercise once a year.

DORA Raises the Bar

Among these regulations, DORA is particularly notable for its prescriptive approach to IT third-party risk management. The act requires financial institutions to implement controls that go far beyond traditional supplier assessments, including:

Robust contractual requirements for IT providers

Assessment and management of concentration risk

Operational resilience and resilience testing programmes

Oversight of critical IT providers

Comprehensive IT vendor inventories and dependency mapping

These audits represent a fundamental shift from measuring supplier security posture to understanding how supplier failure could impact business operations.

With DORA fully applicable since early 2025, organisations and their IT providers are expected to demonstrate a mature and embedded approach to compliance. Audit activity is therefore shifting towards assessing the effectiveness and sustainability of controls, rather than focusing solely on implementation progress or the existence of compliance plans.

The Hidden Barrier of Annual Assessments

One of the biggest challenges with traditional third-party risk management is timing.

Annual assessments provide only a snapshot of risk at a single point in time. Supplier environments are constantly changing through infrastructure updates, emerging threats, active attacks, personnel changes, mergers and acquisitions, and other operational developments.

As a result, many organisations operate with an inaccurate understanding of their true exposure for much of the year.

Annual assessments tell you what was true at the time of the review. The reality, though, is that risk often emerges between review cycles. By the time an annual assessment identifies an issue with a supplier, the organisation may already be dealing with the consequences.

This highlights why continuous monitoring and operational preparedness have become essential components of modern third-party cyber risk management.

Cyber teams should work with third-party providers to proactively map their ecosystems, identify the gaps that need to be addressed, and reduce the risk of cyber incidents. Continuous monitoring and structured oversight mechanisms can help to detect issues early, before they escalate into supply chain-wide disruptions.

When a Supplier Incident Occurs: What Actually Matters

An effective third-party risk programme is not measured by how many assessments are completed. It is measured by the quality of supply chain intelligence and an organisation’s ability to respond effectively when a critical supplier experiences an incident.

Leading organisations are increasingly adopting a structured response model:

Detect

Identify potential supplier incidents through multiple channels, including continuous monitoring tools, threat intelligence feeds, open-source intelligence, and direct supplier communications.

The objective is to achieve early awareness before business disruption occurs.

Assess

Determine the business impact rapidly by asking the following questions:

Which supplier is affected, and which services depend on them?

Which business processes could be disrupted by this incident?

How does the incident affect minimum viable business operations?

Understanding service dependencies is critical to effective and timely decision-making.

Decide

Make informed decisions using the best information available at the time. Actions may include escalating to crisis management teams, communicating with customers, updating internal stakeholders and making regulatory notifications. Modern regulations increasingly expect timely reporting, even when all facts are not yet available.

Recover

Focus on maintaining and restoring critical business services. This might involve:

Switching to alternate providers

Activating failover capabilities

Implementing manual workarounds

Executing business continuity plans

The goal is not to simply recover IT systems, but to protect critical business outcomes throughout the recovery process.

The Future of Third-Party Cyber Risk Management 

The conversation has evolved from vendor assurance to operational resilience.

Organisations can no longer assume that supplier failures are confined to a single company’s operations. Regulatory expectations, interconnected technology ecosystems and increasingly sophisticated cyber threats now require a continuous understanding of third-party risk and a clear plan for responding when disruptions occur.

Whilst supply chain ecosystems can be vast, organisations are increasingly dependent on a relatively small number of critical providers. This concentration risk is where many CISOs and cybersecurity teams continue to underestimate their exposure.

At the same time, boards and senior management can no longer ask “Are my vendors secure?” They must now ask “What happens to our business if one critical provider fails tomorrow?” Many enterprises can identify their highest revenue-generating customers faster than they can identify the five third-party vendors whose failure would bring operations to a standstill.

This is the new benchmark for effective third-party cyber risk management. Organisations that adopt this mindset will be better positioned to build cyber resilience and recover quickly if the worst happens.

The post Why Annual Third-Party Cyber Risk Assessments Are No Longer Enough appeared first on ITDigest.

IDS’s Nion 3D ToF camera goes into series production

News Desk — Tue, 25 Aug 2026 12:54:29 +0000

IDS Imaging Development Systems GmbH is expanding its 3D portfolio with Nion, an industrial ToF camera featuring 1.2-megapixel resolution and integrated depth processing. It provides high-resolution and temporally stable depth information at 30 fps, even during rapid movements and in changing lighting conditions. This makes it suitable for applications such as logistics, automation and robotics, where precise 3D data is required at real-world process speeds.

The Nion captures moving objects with virtually no blurring. Its high resistance to stray light ensures reproducible measurement results both indoors and outdoors. The measuring range of 0.3 to 7.5 meters covers typical industrial scenarios. The robust IP67-rated housing allows it to be used in more demanding environments. Power over Ethernet (PoE) reduces installation effort and cabling.

Patrick Schick, Product Manager for 3D Vision and Imaging Software at IDS, says: “The Nion provides stable depth data even under variable lighting conditions. This provides a solid foundation for automation processes that rely on fast and accurate 3D data.”

Also Read: Adobe Workfront AI Collaborators is now generally available

Compared to standard ToF cameras on the market, the onsemi AR0130 depth sensor offers higher resolution, lower noise, more stable results in ambient light and improved motion stability. This enables the Nion to achieve high depth accuracy even when objects are moving quickly and under variable lighting conditions.

Thanks to its compact design, high measurement quality and excellent value for money, the Nion offers a straightforward introduction to 3D image processing. Companies can integrate the camera flexibly into existing systems and benefit from a cost-effective solution for reliable depth data. “In many cases, existing 2D processes can be retained and supplemented with depth data where necessary, if this aids decision making within the process,” emphasizes Patrick Schick.

The Nion 3D camera is now available in series production. Technical information is available in the IDS Webstore. You can also place orders and make individual enquiries there.

About IDS Imaging Development Systems GmbH:

IDS Imaging Development Systems GmbH is a leading manufacturer of industrial cameras and pioneer in industrial image processing. The owner-managed, environmentally certified company develops highperformance and versatile 2D and 3D cameras as well as models with artificial intelligence (AI) or with streaming/event recording feature. The almost unlimited range of applications covers multiple non-industrial and industrial sectors of equipment, plant and mechanical engineering. Since its foundation in 1997 as a two-man company, IDS has developed into an independent, ISO and environmental-friendly certified family business with around 320 employees. The headquarters in Obersulm, Germany, is both a development and production site. With subsidiaries in the USA, Japan, South Korea and the UK, as well as further representative offices in France, Benelux and India, the technology company has a global presence.

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ITDigest’s Weekly News Roundup Featuring Lightyear, F5, IBM, Thunes, Fiserv, Oracle Health, GitLab and more

News Desk — Fri, 21 Aug 2026 11:27:40 +0000

Here is ITDigest’s weekly roundup of the latest developments shaping enterprise technology. This week’s stories highlight the growing role of agentic AI across telecom, enterprise operations, AI infrastructure, software development, and healthcare, alongside advances in quantum computing, real-time payments, and hybrid cloud management.

In Hardware and Network news this week…

Lightyear Debuts First Agentic Platform for Enterprise Telecom Lifecycle
Lightyear has introduced an agentic platform designed to modernize the enterprise telecom lifecycle through AI-driven automation. The platform aims to streamline processes such as network procurement, management, and optimization, helping organizations reduce manual work and improve visibility across telecommunications infrastructure. As enterprise connectivity becomes increasingly complex, intelligent automation can help businesses manage telecom environments more efficiently.

In Business Technology news this week…

CIT Launches Business Builders and Agentic Enterprise Reinvention Offering
CIT has launched its Business Builders and Agentic Enterprise Reinvention offering to help organizations rethink operations around AI-powered automation. The initiative focuses on enabling businesses to identify opportunities where agentic AI can transform workflows, improve productivity, and create new operating models. The move reflects a broader shift from deploying isolated AI tools toward redesigning business processes around intelligent systems.

In Artificial Intelligence news this week…

F5 Launches Agentic-Ready AI Gateway to Optimize Enterprise AI Economics and Governance
F5 has introduced an agentic-ready AI Gateway aimed at helping enterprises manage the growing complexity and cost of AI deployments. The platform provides capabilities designed to improve governance, visibility, and control across AI workloads while helping organizations manage usage and economics. As enterprises deploy multiple AI agents and models, centralized oversight will become increasingly important for controlling costs and reducing risk.

In Quantum Computing news this week…

IBM Advances Quantum Computing with First Modular Cryogenic System Milestone
IBM has reached a milestone in quantum computing with the development of a modular cryogenic system designed to support the scaling of quantum infrastructure. Cryogenic systems are essential for operating many quantum processors, making advances in this area important to the industry’s long-term scalability. The development demonstrates IBM’s continued focus on building the underlying infrastructure needed for increasingly powerful quantum systems.

In FinTech news this week…

Thunes Partners with Fiserv to Power Real-Time Global Payouts
Thunes and Fiserv have partnered to strengthen real-time global payout capabilities for businesses and financial institutions. The collaboration is designed to make cross-border payments faster and more efficient while improving the infrastructure supporting international money movement. As businesses operate across increasingly global digital markets, faster and more seamless payment networks are becoming a competitive advantage.

In HealthTech news this week…

Oracle Health Expands Clinical AI Agent with Automated Coding and Chart Review
Oracle Health is expanding its clinical AI agent with capabilities for automated coding and chart review. The technology is designed to reduce administrative workloads for healthcare professionals and help organizations process clinical information more efficiently. Automating documentation-related activities could give clinicians more time to focus on patient care while improving consistency across healthcare workflows.

In IT & DevOps news this week…

GitLab Expands Agentic AI Across Software Delivery to Accelerate Enterprise Development
GitLab is expanding agentic AI capabilities across the software delivery lifecycle to help development teams automate and accelerate application development. By embedding intelligent agents into development and delivery workflows, organizations can streamline repetitive tasks, improve productivity, and gain greater insight into software operations. The expansion signals a broader industry movement toward AI-native software engineering.

Article of the Week

Challenges of Managing Hybrid Cloud Environments: How Enterprises Can Improve Security, Visibility and Performance

Hybrid cloud environments give enterprises flexibility to combine public cloud, private infrastructure, and on-premises systems, but they also introduce challenges around security, visibility, governance, and performance. Organizations need centralized monitoring, consistent security policies, strong identity controls, and effective workload management to maintain control across distributed environments. As businesses increasingly adopt hybrid architectures to balance flexibility with compliance and performance requirements, a structured cloud management strategy will be essential for achieving long-term operational resilience.

The post ITDigest’s Weekly News Roundup Featuring Lightyear, F5, IBM, Thunes, Fiserv, Oracle Health, GitLab and more appeared first on ITDigest.

Hexnode introduces Hexnode Context Layer, enabling Agentic AI for endpoint management in the Middle East

News Desk — Thu, 20 Aug 2026 13:13:13 +0000

Hexnode, the enterprise software division of Mitsogo, today announced the debut of Hexnode Context Layer, an intelligence layer that powers Agentic AI for endpoint management through Hexnode Genie AI, the company’s conversational interface for IT administrators.

Drawing on live context from Hexnode’s Unified Endpoint Management (UEM) platform, Hexnode Context Layer helps Genie AI translate natural-language requests into relevant endpoint workflows through a single conversational experience.

The announcement comes as AI takes on a larger role in the Middle East’s enterprise technology landscape. For IT teams, the priority is increasingly on applying AI where it can reduce operational complexity and support more efficient IT management.

How the Hexnode Context Layer works with Genie AI

Hexnode Context Layer serves as the orchestration and governance layer between Hexnode Genie AI and Hexnode UEM. When an administrator submits a natural-language request, Genie AI interprets the intent and passes it to the Context Layer, which automatically routes the request to the appropriate specialized agent within Hexnode UEM, eliminating the need for administrators to select one manually.

Using live fleet context from Hexnode UEM, Hexnode context layer coordinates end-to-end device management workflows spanning policy creation, app deployment, device actions and status tracking, while keeping consequential actions subject to administrator approval.

Also Read: Aetina Launches Palm-Sized In-Vehicle Edge AI Systems with 4x GMSL2 for Demanding Mobility

Specialized agents for core UEM workflows

The Hexnode Context Layer draws on a set of specialized agents, each mapped to a category of UEM workflow:

Device Management for fleet discovery, configuration, telemetry, remote commands and lifecycle actions.

User and Group Management for identity lifecycle, group enrollment and directory hierarchies.

Policy and Configuration for drafting, validation, matching and deviation tracking.

Application Management for store discovery, software repositories, catalogs and portal profiles.

Operational Reporting for data usage metrics and fleet allocation performance.

Together, these specialized agents enable Genie to reason across different areas of endpoint management, reducing the need for administrators to navigate multiple workflows.

“IT admins today sit at the intersection of every incident, every access decision and every compliance check, and the tools they use have not kept up. Hexnode’s focus is on bringing these areas onto one intelligent platform, so admins can spend their time acting on the fleet, not navigating between systems built to manage it,” said Apu Pavithran, CEO and Founder of Hexnode.

What’s next for Hexnode Context Layer

Hexnode Context Layer represents the next step in Hexnode’s development of autonomous endpoint management. Over time, Hexnode also intends to extend this architecture across Hexnode XDR and Hexnode IdP, supporting more coordinated workflows across endpoint management, identity and security while maintaining enterprise-grade administrative controls.

About Hexnode

Hexnode is a leading provider of enterprise solutions that streamline device management, user identity, and endpoint security. Hexnode’s platforms include Hexnode UEM for autonomous and AI-powered endpoint management, Hexnode XDR for intelligent threat detection and response, and Hexnode IdP for secure, context-aware identity and access management. Empowering businesses in over 130 countries, Hexnode continues to build a seamless ecosystem of connected tools, one solution at a time.

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Tufin Advances Multi-Vendor Agentic Network Security Across the Hybrid Enterprise

News Desk — Thu, 20 Aug 2026 11:15:58 +0000

Tufin, the leader in agentic AI network security, announced the availability of Tufin Orchestration Suite (TOS) 5.3, helping enterprises further simplify security operations and maintain consistent control across increasingly complex multi-vendor, hybrid environments.

As enterprise security environments continue to expand across cloud, firewalls, SASE, SD-WAN, microsegmentation, and distributed infrastructure, organizations increasingly struggle to govern connectivity across a growing mix of vendor-specific tools and management platforms. In fact, recent research shows that almost half (49%) of organizations have more than 20 security tools to manage. At the same time, AI is accelerating the pace of change across IT environments, while malicious agents and AI-driven threats continuously probe for new vulnerabilities. Without unified visibility and intelligence, policy changes become slower, governance becomes fragmented, and security teams are left trying to manage a constantly shifting attack surface with manual, human-speed processes.

The new Tufin release extends the company’s Unified Control Plane with new integrations, AI-powered intelligence, and automation capabilities that help organizations consistently govern policy, continuously validate network security posture, and maintain continuous assurance across heterogeneous environments.

Also Read: DOCOMO & Samsung Electronics Achieves Successful Validation of User-level AI-RAN Technology

“Enterprise networks no longer operate within a single vendor ecosystem, yet security teams are still expected to govern policy consistently across all of them,” said Shay Dayan, Senior Vice President of Product and Engineering at Tufin. “The new release further automates policy management, reduces operational complexity, and maintains continuous governance across today’s hybrid environments, giving security teams confidence that any changes will not increase risk, even as enterprise infrastructure and the attack surface continues to expand and evolve.”

In addition to these updates to the platform, Tufin also released its new AI-powered Segmentation Intelligence solution, which continuously analyzes an organization’s segmentation policies to understand segmentation intent, identify policy gaps and drift, and recommend how to close those gaps. The solution replaces periodic audits, manual checks, and narrow point solutions with always-on visibility, enabling security teams to ensure that there are no exploitable flaws or neglected coverage areas that need to be addressed while there’s still time to act.

Enhancing the Industry’s Most Comprehensive Network Security Platform

Tufin’s latest release expands the industry’s most comprehensive multi-vendor network security platform by bringing additional security technologies into Tufin’s Unified Control Plane, powered by the Dynamic Network Connectivity Graph. By continuously correlating connectivity, policy, and security context across heterogeneous environments, organizations can reduce manual effort, accelerate policy changes, and apply consistent governance regardless of vendor.

A few of the new capabilities in the release include:

Enhanced AWS Firewall Support, providing native topology, policy, and compliance visibility into AWS-native firewall environments, allowing organizations to extend governance deeper into cloud infrastructure.
Expanded Palo Alto Strata Cloud Manager Support, delivering end-to-end automation of IP-based access requests—from request through provisioning—to simplify policy management across cloud-managed security environments
VMware NSX-T Access Request Automation, delivering end-to-end automation of access requests for Distributed Firewall rules—from design and validation through provisioning—even in environments without complete network topology visibility.
Cisco Meraki Provisioning Support, extending automated policy provisioning to Cisco Meraki deployments and broadening consistent policy management across branch and distributed enterprise networks.

“Our vision extends beyond simple policy automation,” Dayan added. “We’re building an intelligent control layer that allows organizations to understand connectivity, govern change, and maintain continuous security posture control across every environment, regardless of vendor.”

The post Tufin Advances Multi-Vendor Agentic Network Security Across the Hybrid Enterprise appeared first on ITDigest.

Tufin’s AI-Powered Segmentation Intelligence Enables Enterprises to Continuously Maintain Segmentation Intent Across Today’s Rapidly Changing Networks

News Desk — Thu, 20 Aug 2026 11:15:54 +0000

Tufin, the leader in agentic AI network security, announced Segmentation Intelligence, a new AI-powered solution that enables enterprises to continuously validate that critical segmentation policies are operating as intended across today’s complex hybrid environments.

Security teams are accountable for ensuring that segmentation controls remain effective, not only to support Zero Trust initiatives, but to meet regulatory requirements, reduce cyber risk, and withstand increasingly sophisticated AI attacks. It’s core to almost every part of modern enterprise security. However, these same teams often find themselves with limited visibility into whether the solutions, policies and controls they’ve put into place are working as intended. In fact, recent research indicated that over half (54%) of enterprise cybersecurity leaders have no clear understanding of whether their controls are in place and working at any given time. This lack of visibility – combined with an increased need to prove compliance faster than ever before – puts critical data and proprietary information at risk, while increasing the risk of audit failures, penalties, and reputational damage.

Organizations that continuously understand and reduce exposure are better positioned to adapt to rapidly changing environments, while still strengthening their security and compliance outcomes. Yet, as enterprise environments evolve across cloud, on-premises infrastructure, SASE, firewalls, and distributed networks, both security intent and proper application of policies and controls can drift from their intended targets. Teams trying to validate that intent is properly aligned with segmentation need quickly discover that the use of periodic, manual processes are no longer sustainable.

Also Read: Lightyear Debuts First Agentic Platform for Enterprise Telecom Lifecycle

Tufin Segmentation Intelligence continuously analyzes an organization’s segmentation policies to understand segmentation intent, identify policy gaps and drift, and recommend how to close those gaps. Rather than relying on point-in-time audits, manual validation exercises, or point solutions which only see a small portion of an enterprise’s network and policies, the AI-powered solution enables teams to ensure that there are no exploitable flaws or neglected coverage areas that need to be addressed.

Segmentation Intelligence analyzes policies, zones, subnets, and objects to understand how an organization’s environment is intended to be segmented and where controls should be enforced. This enables organizations to validate that segmentation remains aligned with their intended strategy as the environment evolves. The solution makes it easy to prioritize risk in a business context, and focus remediation efforts where exposure is greatest.

“Enterprise environments change constantly, yet verification remains largely manual and periodic. It’s a real struggle for security teams to prove segmentation is still working,” said Raymond Brancato, CEO of Tufin. “Segmentation Intelligence gives organizations continuous confirmation that their strategy is protecting the business as intended: reducing risk, improving compliance, strengthening resilience, and building confidence in their security posture.”

Turning Security Intent into Continuous Assurance

For many organizations, segmentation validation occurs only before audits, after major infrastructure changes, or following a security incident. As cloud adoption accelerates and AI drives infrastructure change at machine speed, hybrid environments are becoming increasingly dynamic. At the same time, frontier AI models such as Mythos are raising the ceiling on what automated reconnaissance and exploitation can do, putting capabilities that were once limited to well-resourced actors within the reach of a far wider set of adversaries. As networks evolve and threats accelerate, periodic validation cycles leave security teams with limited visibility into whether their intended segmentation policies still reflect current security requirements, or have drifted over time.

At the same time, industry momentum around Continuous Threat Exposure Management (CTEM) continues to accelerate. Regulatory frameworks such as NIS2 and DORA increasingly emphasize continuous controls and operational resilience, while organizations face growing pressure to secure rapidly changing AI-driven infrastructure and defend against increasingly sophisticated AI-enabled attacks without expanding security headcount. Verizon’s 2026 Data Breach Investigations Report found that vulnerability exploitation has become the leading initial access vector for breaches, with AI helping attackers accelerate exploitation from months to hours.

Tufin Segmentation Intelligence transforms segmentation validation from a periodic compliance exercise into continuous, AI-driven assurance. By continuously analyzing intended segmentation policies for gaps and drift, organizations gain confidence that their segmentation strategy continues to reflect business and security requirements as infrastructure—and the attack surface—evolves, helping reduce the risk that exploitable gaps go undetected as threats move faster.

Unlike point products that validate segmentation within a single technology domain, by combining continuous visibility and AI-driven analysis within a single platform, security teams can:

Continuously identify segmentation policy gaps and drift across policies, zones, subnets, and the entire network
Detect unintended vulnerabilities and exploitable coverage gaps before they weaken critical security controls
Prioritize remediation based on business risk and likely exposure
Generate continuous affirmation that supports compliance, operational resilience, and Zero Trust initiatives

“Organizations don’t need more dashboards, they need assurance,” continued Brancato. “With Tufin, security leaders can gain continuous insight into whether the controls protecting their business are working as intended. Segmentation Intelligence represents a significant step toward making continuous security assurance a reality.”

The post Tufin’s AI-Powered Segmentation Intelligence Enables Enterprises to Continuously Maintain Segmentation Intent Across Today’s Rapidly Changing Networks appeared first on ITDigest.

Aetina Launches Palm-Sized In-Vehicle Edge AI Systems with 4x GMSL2 for Demanding Mobility

News Desk — Wed, 19 Aug 2026 11:08:47 +0000

Aetina Corporation, a leading edge AI solution provider and an accelerator of edge AI infrastructure, announced the DeviceEdge AIE-VN34/44 and AIE-VO24/34, Aetina’s first palm-sized in-vehicle edge AI systems, powered by NVIDIA Jetson Orin NX and NVIDIA Jetson Orin Nano modules. Delivering up to 100 TOPS of AI performance and supporting up to four GMSL2 cameras in an ultra-compact, rugged form factor, the new systems are ready for mass production and target smart transportation, autonomous mobile robots (AMR), and industrial automation deployments where space and reliability are equally critical.

Compact Compute for Multi-Camera AI Vision

As AI-powered vision systems become increasingly essential across smart cities, intelligent transportation, and industrial automation, real-time processing of high-quality, multi-camera video streams within space-constrained environments remains a persistent challenge. The AIE-VN34/44 and AIE-VO24/34 address this directly: powered by NVIDIA Jetson Orin NX (8GB/16GB) and NVIDIA Jetson Orin Nano with Super Mode (4GB/8GB), the systems deliver up to 100 TOPS and 67 TOPS of AI performance respectively, packed into a palm-sized 136.3 x 132 x 63 mm chassis. Each system features four GMSL2 (Fakra-Z) ports, enabling long-distance, low-latency multi-camera streaming, real-time AI inference, and 360-degree environmental perception for surround-view monitoring, blind-spot detection, and situational awareness.

To accelerate system integration, the AIE-VN34/44 and AIE-VO24/34 can be flexibly expanded with Aetina validated GMSL2 adapter boards and camera modules, which support with plug-and-play driver-ready for long-distance image transmission of up to 15 meters. This bundle offering brings together camera sensing, high-speed visual data transmission, and NVIDIA Jetson Orin–powered edge inference, helping customers simplify system integration, shorten development and validation cycles, and achieve highly scalable, customizable AI deployment.

Also Read: d-Matrix Acquires Wallaroo.ai to Accelerate AI Deployment

Rugged, Fanless Design for Continuous Field Operation

Engineered for demanding mobile and industrial applications, the AIE-VN34/44 and AIE-VO24/34 pair rugged reliability with flexible connectivity. Both systems have passed MIL-STD-810H shock and vibration testing and carry E-Mark (E24) certification for automotive electronic equipment, streamlining integration into global vehicle markets. A fanless architecture supports stable, throttle-free operation from -25°C to +55°C, while a 9–36V DC wide-voltage input and integrated Ignition Power Control protect against voltage fluctuations and enable safe startup and shutdown. Isolated CAN FD and GPIO/RS-232 interfaces connect vehicle signals, controllers, sensors, and industrial peripherals, complemented by Gigabit Ethernet (GbE), USB 3.2, HDMI, M.2 M-Key storage, and optional M.2 E-Key wireless expansion.

Scaling Edge AI Vision Across Transportation, Robotics, and Industrial Automation

The convergence of V2X and edge computing continues to drive demand for compact, rugged in-vehicle computing platforms that capable of processing multi-camera vision data locally and in real time. The AIE-VN34/44 and AIE-VO24/34 turn visual data into actionable intelligence for AI agents and autonomous systems, supporting surround-view monitoring and blind-spot detection for commercial vehicles, obstacle avoidance and path planning for AMRs, real-time defect inspection on production lines, and people tracking and security monitoring across smart retail and building environments.

James Ho, Manager of Edge Computing Product Division at Aetina, stated: “As real-time, multi-camera perception becomes the sensing layer for AI agents operating in vehicles, AMRs, and industrial equipment, customers need edge compute that is rugged enough for the field and ready for mass production from day one, Aetina’s palm-sized in-vehicle edge AI systems bring four-camera GMSL2 support, automotive-grade certification, and NVIDIA Elite Partner-backed BSP support together in one rugged multi-vision platform, helping customers simplify integration and accelerate the deployment of intelligent vision at the edge.”

The AIE-VN34/44 and AIE-VO24/34 are available now for mass production, supporting BSP built on NVIDIA JetPack 6.2, with NVIDIA JetPack 7.2 support to be added soon. For more information on Aetina’s edge AI computing portfolio, please visit : www.aetina.com

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Introducing PcVue 17

News Desk — Tue, 18 Aug 2026 13:10:44 +0000

ARC Informatique, publisher of the SCADA/BMS PcVue platform, announces PcVue 17, a major release addressing critical systems challenges: energy efficiency, operational performance, and cybersecurity.

Driving Energy Flexibililty

PcVue 17 improves the energy efficiency of buildings and industrial processes. By centralizing data from multiple sources within a unified ecosystem, it actively optimizes energy demand through optimized control scenarios that can include AI-based forecasting, thus avoiding consumption peaks and reducing energy costs.

Also Read: Adobe Workfront AI Collaborators is now generally available

Intelligent Assistance for Performance

PcVue 17 introduces intelligent assistance that enables users to configure workflows and orchestrate complex processes through low-code interfaces. By combining AI processing and real-time data analysis, it allows to automate routine tasks and accelerates decision-making across both systems and teams.

On the engineering side, PcVue 17 helps you design faster and be more efficient with enriched object libraries, and flexible modeling capabilities.

Certifications for Critical Infrastructure Cyber-resilience

Backed by IEC 62443-4-1 and IEC 62443-4-2 certifications, ensuring secure development processes and robust product security for industrial automation systems, the platform not only offers high performance, but also remains secure and resilient to cyber threats, thus ensuring operational confidence for critical infrastructures.

The post Introducing PcVue 17 appeared first on ITDigest.

Help AG Achieves Major Milestone in Sovereign Security Operations with DESC CyberForce SOC Certification

News Desk — Mon, 17 Aug 2026 12:32:19 +0000

Help AG, the cybersecurity arm of e&, has achieved the CyberForce Security Operations Centre (SOC) certification from the Dubai Electronic Security Center (DESC). This makes Help AG among the first to complete all three CyberForce certifications, having previously been recognised for its Incident Response and Penetration Testing services.

The milestone provides independent validation of Help AG’s SOC capabilities, including the people, processes, governance, monitoring and incident response functions that underpin its Managed Security Services (MSS) offering. It demonstrates compliance with Dubai’s cybersecurity standards for adaptive security operations and reinforces Help AG’s ability to support government entities, critical infrastructure operators and enterprise organisations with trusted security services.

The achievement builds on Help AG’s long-standing commitment to supporting the UAE’s cybersecurity priorities and the secure adoption of emerging technologies. As organisations embrace increasingly intelligent and interconnected digital environments, trusted security operations are becoming essential to maintaining resilience, governance, and confidence in critical services.

The certification further strengthens Help AG’s position as a leading provider of managed security services in the region and reflects its continued focus on advancing cybersecurity governance, service maturity, and operational resilience in response to an increasingly complex and rapidly evolving threat landscape.

Also Read: How Geopolitics is Driving Modern Cybercrime

Dr Aleksandar Valjarevic, Acting Chief Executive Officer at Help AG, said: “Achieving the CyberForce certification for our UAE Cyber Defence Centre is a significant milestone for Help AG and a strong endorsement of the expertise and service excellence that underpin our offering. We see it as an important validation of our ability to deliver trusted, high-quality managed security services that meet rigorous government-defined standards.

“As the UAE accelerates its AI-first national ambitions, organisations require cybersecurity partners capable of securing increasingly complex digital environments, including sovereign AI deployments and emerging agentic AI systems. Our in-country, sovereign SOC, powered by advanced automation and local expertise, is designed to help organisations embrace innovation securely while maintaining resilience, trust and operational control.”

Abdulla Ebrahim Al Ahmed, Chief Government & VVIP Relations Officer, e& UAE, said: “Trust, resilience and security are fundamental to the UAE’s digital future. This achievement reflects the strength of Help AG’s sovereign cybersecurity capabilities and e& UAE’s broader commitment to supporting the UAE’s AI-first ambitions through secure, reliable and future-ready technology services.

“As organisations place greater reliance on intelligent systems, robust cybersecurity foundations will remain essential to enabling innovation, protecting critical infrastructure and maintaining trust across the digital ecosystem.”

Operating two of the region’s most advanced Security Operations Centres in Dubai and Riyadh, Help AG provides around-the-clock threat monitoring, analysis, and incident response for clients. Operated by a 200-strong team of cybersecurity analysts, defenders and engineers specialising in Managed Security Services, Help AG’s regional SOCs have processed and analysed over 32 trillion security events to date – handling over 300,000 incidents in the past year alone.

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ITDigest’s Weekly News Roundup Featuring DOCOMO, Precisely, Quantinuum, Oracle, Mercury, Anthropic and more

News Desk — Fri, 14 Aug 2026 13:24:09 +0000

Here is ITDigest’s weekly roundup of the latest developments shaping global technology markets. This week’s stories highlight advancements in AI-RAN, enterprise AI, SAP governance, hybrid quantum computing, intelligent financial management, healthcare technology, and AI deployment. Together, these developments demonstrate how organizations are embedding AI deeper into infrastructure, business operations, and industry-specific workflows.

In Hardware and Network news this week…

DOCOMO and Samsung Electronics Achieve Successful Validation of User-Level AI-RAN Technology
DOCOMO and Samsung Electronics have successfully validated user-level AI-RAN technology, marking progress toward more intelligent and flexible mobile networks. The technology enables network resources to be optimized around individual user requirements, supporting more efficient performance as AI workloads and advanced mobile applications grow. The development points toward a future where AI becomes an integral part of next-generation telecom infrastructure.

In Business Technology news this week…

Hyperlink InfoSystem Empowers Enterprises with Business-Focused AI Solutions
Hyperlink InfoSystem is expanding its focus on business-oriented AI solutions designed to help enterprises integrate artificial intelligence into practical workflows. By aligning AI capabilities with specific business requirements, organizations can move beyond experimentation and focus on measurable improvements in productivity, automation, and decision-making. The trend reflects growing enterprise demand for AI solutions tied directly to business outcomes.

In Cloud Computing & Mobility news this week…

Precisely Introduces Automate Evolve Cloud Essentials to Bridge SAP Governance Gaps
Precisely has introduced Automate Evolve Cloud Essentials to help organizations address governance and automation challenges surrounding SAP environments. The solution is designed to improve control and streamline processes as businesses modernize their SAP landscapes and move toward cloud-based operations. Stronger governance will become increasingly important as enterprises manage increasingly complex and interconnected application environments.

In Quantum Computing news this week…

Quantinuum and Oracle Partner to Bring Hybrid Quantum Computing to Oracle Cloud Infrastructure
Quantinuum and Oracle are partnering to bring hybrid quantum computing capabilities to Oracle Cloud Infrastructure. The collaboration aims to combine quantum computing with conventional cloud resources, giving organizations a pathway to experiment with quantum workloads within familiar enterprise environments. Such integration could accelerate research into applications where quantum and classical computing complement one another.

In FinTech news this week…

Mercury Unveils Mercury Spend with AI Agent Cards and Intelligent Budgets
Mercury has launched Mercury Spend, introducing AI agent cards and intelligent budgeting capabilities to help businesses manage spending more effectively. The platform brings automation and AI-powered controls into corporate financial management, enabling organizations to gain greater visibility over expenses and streamline spending decisions. Intelligent financial tools are increasingly becoming part of the modern enterprise finance stack.

In HealthTech news this week…

Oracle Health Launches AI-Powered Patient Portal to Elevate Engagement
Oracle Health has launched an AI-powered patient portal designed to improve engagement and make healthcare interactions more personalized. AI capabilities can help patients access information and navigate healthcare services more efficiently while supporting providers with more connected digital experiences. The development highlights the healthcare industry’s shift toward technology-enabled, patient-centric care.

In Enterprise Software news this week…

ZaeLab Partners with Anthropic to Drive Enterprise AI Deployment
ZaeLab and Anthropic have partnered to help enterprises accelerate the deployment of AI across business environments. The collaboration focuses on helping organizations integrate advanced AI capabilities into existing workflows while addressing the practical requirements of enterprise adoption. As businesses move from AI pilots toward scaled deployments, implementation expertise and responsible governance are becoming increasingly critical.

Article of the Week

How AI Is Transforming the Healthcare Industry: Key Innovations Driving Better Patient Care in 2026

Artificial intelligence is rapidly changing healthcare through applications spanning clinical decision support, patient engagement, medical research, diagnostics, and administrative automation. In 2026, healthcare organizations are increasingly using AI to improve efficiency while supporting more personalized and data-driven care. However, successful adoption also requires strong data governance, cybersecurity, interoperability, and responsible AI practices. As these capabilities mature, AI is positioned to become an increasingly important layer of the modern healthcare ecosystem.

The post ITDigest’s Weekly News Roundup Featuring DOCOMO, Precisely, Quantinuum, Oracle, Mercury, Anthropic and more appeared first on ITDigest.