In Hardware and Network news this week…

FS Launches 800G Muxponder to Power Next-Gen AI and Cloud Networks
FS launched D7070 series Integrated 800G Muxponder and thus extended its DCI product lineup to 800G line capacity. The 1U platform consolidates the current 100 GbE and 400GbE client services into four 800G coherent waves, providing 3.2 Tb/s aggregate line capacity across data centers, metro and regional networks. This launch is an important step for the Optical Networking, Telecommunications and Data Center Infrastructure industries, allowing scaling 800G transport into a flexible and open software architecture.

In Cybersecurity news this week…

Cloudera and NVIDIA Partner to Accelerate Apache Spark Pipelines and Slash Cloud Compute Spend
Cloudera, the industry leader in hybrid data platforms, has joined hands with NVIDIA and is now providing GPU-accelerated Spark 4.1 within Cloudera Data Engineering. The solution leverages the NVIDIA CUDA-X library (cuDF) and enables data engineering teams to accelerate workloads by up to 4x. The solution comes with the recently unveiled Cloudera Anywhere Cloud and helps organizations to accelerate ETL (extract, transform, load) processes without any change in the existing PySpark and SQL code.

In Business Technology news this week…

Bain & Company Partners with Anthropic to Drive Enterprise AI Transformations
Bain & Company has announced a strategic global partnership with AI research firm Anthropic, joining the Claude Partner Network as a ‘Global Premier’ partner to help enterprise clients accelerate from initial AI experimentation to full-scale, value-generating deployments. The collaboration unites Anthropic’s frontier Claude models with Bain’s industry expertise and 1,500-strong multidisciplinary team of AI, data, and analytics specialists to deliver end-to-end strategy, technology modernization, and AI-enabled operations.

In Artificial Intelligence news this week…

Seclore and Glean Partner to Deliver Context-Aware, Persistent Data Security for Enterprise AI
Seclore announced a strategic partnership with enterprise AI platform leader Glean. The integration unifies Glean’s enterprise context graph with Seclore’s ARMOR Data Security Posture Management (DSPM) and Enterprise Digital Rights Management (EDRM) capabilities. By writing persistent classifications and encryption controls directly onto source files, the joint solution ensures that sensitivity labels follow data wherever it travels—whether opened in native applications, shared externally, or surfaced through conversational AI.

In Big Data news this week…

SQD Partners with Google Cloud to Expand Blockchain Analytics Capabilities via BigQuery
SQD has announced a strategic partnership with Google Cloud to integrate its validated data pipelines into Google Cloud Web3 Blockchain Analytics within BigQuery. Executed through SQD’s enterprise division, SQD 360, the collaboration feeds cryptographically verified on-chain datasets directly into Google Cloud’s fully managed serverless platform, enabling developers, analysts, and enterprises to query structured blockchain records without running dedicated nodes.

In FinTech news this week…

Flagright Partners with Nacha to Enhance ACH Compliance and Risk Prevention
Flagright has officially been named a Nacha Preferred Partner for ACH Compliance, Fraud Monitoring, and Risk and Fraud Prevention, marking a significant milestone in its expansion across the payments landscape. Organizations utilize Flagright’s transaction monitoring engine to oversee incoming and outgoing ACH payment flows, detect deviations from normal behavior, and prioritize alerts based on dynamic risk parameters by leveraging customer-configured rules alongside machine-learning anomaly detection.

In Enterprise Software news this week…

NTT DATA Acquires Netgain to Build Sweden’s Largest Pure-Play ServiceNow Entity
Global digital business and IT services leader NTT DATA has announced the acquisition of Stockholm-headquartered ServiceNow specialist Netgain AB, combining its operational scale with The Cloud People acquired by NTT DATA in December 2025 to establish Sweden’s largest pure-play ServiceNow consultancy. Founded in 2008, Netgain brings approximately 60 specialists and over 160 certifications across IT Service Management (ITSM), Human Resources (HR), and Customer Service Management (CSM), expanding NTT DATA’s strategic presence and capacity across the Nordics and broader European markets.

In IT & DevOps news this week…

Progress Debuts Telerik and Kendo UI Updates for Agentic Application Build
Enterprise software leader Progress Software announced the latest release of Progress® Telerik® and Progress® Kendo UI®, introducing context-aware AI capabilities designed to streamline UI engineering and support agent-driven software architectures. The updated suite enables software engineering teams to transition from standard AI-assisted coding toward building production-ready applications that support interactions from both human users and autonomous AI agents.

Article of the Week

Cloud Security Best Practices: How Enterprises Can Protect Data, Applications and Cloud Infrastructure

With IaaS, the customer has a larger security responsibility because it controls more of the environment. Operating systems, applications, network settings, identities, and configurations can all sit within the customer’s area of control. With PaaS, the provider manages more of the underlying platform, but the customer still has to secure applications, data, identities, and configurations. SaaS moves more infrastructure responsibility to the provider, yet the customer still controls things such as user access, permissions, and data handling.

The post ITDigest’s Weekly News Roundup Featuring Anthropic, F5, Google Cloud, SQD, NTT DATA, Cloudera, Bain & Company and more appeared first on ITDigest.

As enterprises race to unlock AI business value, many face a fundamental data challenge: unstructured content is scattered across repositories, much of it has never been classified, and organizations lack the visibility and governance needed to make that data safely available to AI. In fact, a recent IBM study found that 77% of technology leaders say AI adoption is already outpacing their organization’s data governance capabilities.

Also Read: Movemint’s Embedded Personalization Platform Now Available to the Banking Sector

With the addition of DryvIQ, Nasuni enables enterprises to discover and classify content across more than 40 cloud and on-premises repositories, detect sensitive data, and automatically enforce governance policies before information is exposed to AI. The combination gives organizations a governed foundation to manage, protect, and activate their unstructured data, helping fuel AI initiatives with high-quality data while supporting compliance and optimizing infrastructure costs.

More information can be found in the press release. Let me know if you’re interested in speaking with a Nasuni executive on today’s news, how this acquisition builds on Nasuni’s broader platform expansion and previous acquisition of Resilio, and the company’s vision for enterprise data and AI – I’m happy to set up a call.

The post Nasuni Acquires DryvIQ to Bring AI-Powered Intelligence and Governance to Enterprise Unstructured Data appeared first on ITDigest.

As enterprises transition from AI experimentation to production, organizations demand on-premises solutions delivering robust performance, data security, and seamless integration. Traditional AI servers often require complex infrastructure planning, large footprints, and specialized resources. AIP-RQ87 addresses these challenges with a compact 2U chassis, flexible AI accelerator support, high power capacity, exclusive Power Distribution Board (PDB) design, and modular tool-less maintenance-enabling businesses to reduce deployment complexity while efficiently deploying advanced AI workloads where data is generated.

Deconstructing Heterogeneous Edge Computing: A Highly Flexible Modular AI Inference Platform
MegaEdge AIP-RQ87 is purpose-built for system integrators, AI developers, research labs, and SMEs, delivering a flexible on-premises AI platform that eliminates the complexity of traditional infrastructure. The system features high-bandwidth, low-latency PCIe Gen5 x16 architecture with support for both NVIDIA RTX PRO 6000 Blackwell Series GPUs and Qualcomm® Cloud AI 100 Ultra accelerators-allowing enterprises to select optimal computing configurations based on workload requirements, power constraints, and budget.

Also Read: IDS at VISION 2026: Trends. Innovations. Future 

AIP-RQ87 integrates Intel® Core Ultra 5/7/9 processors with Intel® Q870 chipset, supporting up to 256GB DDR5 memory within a compact 2U footprint (500mm depth). Optimized for private large-parameter LLMs, RAG, and enterprise AI inference, the platform enables deployment of AI agents, multimodal AI, and intelligent automation across verticals-from knowledge assistants and legal compliance to video analytics and smart retail.

Proprietary Hardware Innovations for Maximum Field Reliability

To enable stable operation of dual 600W AI accelerators in a compact 2U edge system, AIP-RQ87 incorporates patent-pending hardware innovations and industrial-grade specifications:

•  Proprietary Power Distribution Board (PDB) [Patent Pending]: Aetina’s innovative “cable-free split-circuitry design” disrupts conventional chassis designs plagued by dense cable bundles. By distributing power through a centralized backplane, this architecture optimizes delivery to high-wattage accelerators, reduces cable clutter, and enhances stability during sustained high-load operations.

• Modular Tool-Less GPU and SATA Box Design [Patent Pending]: This service-friendly innovation enables instant tool-free hardware installation, upgrades, and maintenance-significantly reducing mean time to repair (MTTR) while improving service efficiency and deployment flexibility

•  2000W Power Supply: Integrated industrial-grade high-wattage PSU provides maintainable power capacity for mission-critical AI applications-ideal for smart retail, smart cities, enterprise data centers, and edge nodes requiring continuous operation

• Featured 1x 10G LAN Port (10GbE): High-speed 10GbE transmission eliminates bandwidth bottlenecks in massive data exchange and distributed machine learning, ensuring millisecond-level responsiveness and optimized AI inference performance.

Enabling Private AI, Intelligent Automation, and Real-Time Decisions
As enterprise AI progresses from proof-of-concept toward scaled deployment, organizations prioritize data sovereignty, deployment efficiency, and long-term operations over model performance alone. For enterprises processing sensitive data internally while minimizing cloud dependency, on-premises AI deployment is becoming critical.

MegaEdge AIP-RQ87 helps enterprises retain core data internally, reduce cloud transfer costs and latency, and provide controllable computing foundations for private LLMs and AI agents. Key deployment scenarios span three directions:

•  Private AI Knowledge Assistants & Legal Compliance: Integrate product documentation, SOPs, internal knowledge bases, and regulatory data for real-time semantic retrieval and knowledge Q&A.

•  Intelligent Document Processing (IDP) & Business Automation: Support classification, extraction, summarization, and report generation from contracts, invoices, and business records-enhancing workflow approval and operational efficiency.

•  Financial Industry Applications: Serve as intelligent wealth management advisors, smart regulatory compliance assistants, and financial risk management solutions.

Richard Hung, Vice President of Product Division at Aetina, stated: “Enterprise AI competitiveness now extends beyond model capabilities to deployment efficiency, data sovereignty, and long-term operations. Aetina MegaEdge AIP-RQ87’s rapidly deployable 2U edge platform helps enterprises and SIs pragmatically implement private LLMs, AI agents, and intelligent automation-making on-premises AI truly achievable.”

Mass Production Ready, Actively Expanding Global On-Premises AI Markets
MegaEdge AIP-RQ87 has entered mass production with CE, FCC Class A, and UKCA certifications, ready for global deployment. With AIP-RQ87 joining the MegaEdge PCIe Series, Aetina expands its enterprise-grade edge AI infrastructure portfolio-helping customers build secure, scalable, maintainable on-premises AI environments and accelerate from private LLM adoption to large-scale intelligent automation.

About Aetina
Aetina, a provider of state-of-the-art AI solutions, offers a wide range of AI computing systems, platforms, hardware, and software tools ideal for the creation of different types of vertical AI. Aetina’s integrated solutions empower its Arm, x86 computers, GPUs, ASIC hardware, cloud management software, and development tools with artificial intelligence, delivering comprehensive, tailor-made hardware and software suites to enable smooth, quick system intellectualization progress at the edge. With its ecosystem network, Aetina makes the creation and deployment of any specific AI-powered applications highly achievable by leveraging its global partners’ AI technologies.

The post Aetina Launches MegaEdge AIP-RQ87 2U Edge AI System for Private LLMs, AI Agents and Intelligent Automation appeared first on ITDigest.

Deployment of such critical enterprise AI models like risk engines, code generators, and diagnostic systems in multi-tenant public clouds makes them vulnerable to security and cost issues. Companies working in highly regulated industries have certain data privacy regulations like GDPR and HIPAA that prohibit sending sensitive data to public cloud destinations. Moreover, predictable latency of AI and cost of computing have pushed CIOs to re-think their infrastructure plans, hence making it necessary for Private Cloud AI.

Solving this enterprise AI infrastructure dilemma, IT infrastructure services leader Kyndryl and global technology innovator Broadcom Inc. announced an expanded strategic alliance.

The partnership combines Kyndryl’s managed services expertise with Broadcom’s VMware Cloud Foundation (VCF) and Private Cloud AI architecture, establishing a unified framework to build, manage, and scale secure private cloud AI environments for global enterprises.

Uniting VMware Cloud Foundation with Managed Infrastructure Expertise

The expanded alliance establishes a joint engineering model designed to accelerate private cloud AI adoption. By integrating Broadcom’s VMware Private Cloud AI technology with Kyndryl Bridge-Kyndryl’s AI-powered open integration management platform-the partnership provides enterprise clients with a turnkey private cloud environment tailored specifically for high-throughput AI workloads.

Key technical and operational pillars of the expanded alliance include:

Private Cloud AI Deployment Solution: The solution is a combination of VMware Cloud Foundation with AI software stacks and GPU acceleration, enabling the quick deployment of private AI clusters within a few days by an enterprise IT team.

Kyndryl Bridge Management: Allows private cloud AI infrastructure to be connected to the Kyndryl Bridge, which delivers real-time telemetry and workload orchestration.

Mainframe Stack Modernization: This will help organizations modernize legacy data centers, allowing for latency-free connections between proprietary databases of organizations and private AI models.

Also Read: Seclore and Glean Partner to Deliver Context-Aware, Persistent Data Security for Enterprise AI

Specialized Workforce Enablement: Kyndryl is expanding its certified engineering workforce, training technical architects on Broadcom’s latest VMware Cloud Foundation and Private Cloud AI frameworks.

“Enterprise customers need an infrastructure strategy that balances rapid AI innovation with absolute data security and operational control,” stated Paul Savill, Global Practice Leader at Kyndryl.

Impact on the Cloud Industry

The strategic alliance between Kyndryl and Broadcom signals fundamental evolutionary developments across the broader Cloud landscape:

1. Formalizing the Rise of “Private Cloud AI”

Historically, public cloud hyperscalers dominated generative AI discussions due to their massive centralized GPU clusters. Cloud architects recognize that while public clouds excel at initial model training, running continuous real-time AI inference on private, on-premise infrastructure delivers superior data privacy, lower network latency, and predictable operational costs.

2. Re-Energizing the VMware Enterprise Ecosystem

Following Broadcom’s acquisition of VMware, enterprise customers sought clarity regarding the long-term roadmap for VMware Cloud Foundation. Co-developing Private Cloud AI solutions alongside Kyndryl-the world’s largest IT infrastructure provider-reaffirms VMware’s position as a core enterprise platform, proving that virtualized private cloud stacks are essential for next-generation AI workloads.

Overall Effects on Businesses Operating in the Sector

For enterprise CIOs, cloud architects, IT service providers, and technology vendors, the Kyndryl-Broadcom partnership offers direct operational advantages:

Eliminating AI Data Exfiltration Risks: Keeping sensitive financial and medical data inside private cloud perimeters guarantees compliance with global privacy regulations.

Stabilizing Long-Term IT Budgets: Shifting continuous AI inference from public cloud pay-per-token pricing to dedicated private cloud infrastructure drastically lowers long-term total cost of ownership.

Simplifying Hybrid Cloud Operations: Managing public cloud instances and private AI infrastructure through Kyndryl Bridge eliminates operational silos, reducing administrative burden for enterprise IT staff.

Conclusion

The expanded strategic alliance between Kyndryl and Broadcom marks an important milestone in the evolution of enterprise cloud computing. By pairing Broadcom’s VMware Cloud Foundation and Private Cloud AI technology with Kyndryl’s global managed services scale and Kyndryl Bridge automation platform, these two industry leaders are providing a practical blueprint for secure digital transformation. For the global cloud industry, this news confirms that the future of enterprise AI belongs to hybrid, private cloud architectures engineered for data trust, operational resilience, and predictable performance.

The post Kyndryl and Broadcom Expand Alliance to Deploy Secure Enterprise AI Infrastructure appeared first on ITDigest.

The post Harness Introduces Agent-Ready Code Repository and AI Code Review Capabilities appeared first on ITDigest.

The OpenAI Partner Network is a global channel program that connects the leading service providers with OpenAI’s technology platform. Through this program, OpenAI provides the qualified partners with engineering expertise, technical enablement, and go-to-market support in order to enable enterprises to move from pilot to production in AI.

Through its role as a Select Partner, Blend will focus on driving efficiency and ROI for client systems. The initiative targets optimizing token utility and cost-to-performance metrics using advanced models such as GPT-5.6, while leveraging ChatGPT Work environments to turn strategic business objectives into execution.

Also Read: SandboxAQ Open-Sources Switch to Bring AI Agents into Team Chat Platforms

“The launch of the OpenAI Partner Network is a meaningful moment for the enterprises we serve. It formalizes the kind of collaboration our clients have already been asking for. We’re proud to be part of this network from day one, building on our expertise in data science and agentic AI to help clients move beyond experimentation and use AI to transform their businesses,” said Ozgur Dogan, Chief Executive Officer, Blend.

Enterprise Capabilities and Industry Scope

Blend provides end-to-end data science, generative AI, and agentic AI solutions across multiple commercial sectors:

Financial Services & Healthcare: Building compliant decision automation and data analytics frameworks.

Retail & Consumer Goods: Automating supply chain, customer engagement, and inventory intelligence workflows.

Energy, Technology, Media & Telecom (TMT): Deploying scalable AI agents to streamline complex operational pipelines.

Blend’s track record in deploying custom autonomous agents and decision-automation infrastructure earned the firm a spot on Constellation Research’s 2026 AI-First Service Firms list.

Roadmap for Global Expansion

Looking ahead, Blend plans to expand its specialized OpenAI solution portfolio across its international delivery hubs. The organization will invest heavily in expanding its global pool of AI engineering talent while scaling agentic AI deployments for enterprise clients within the OpenAI ecosystem.

For a broader breakdown of how the OpenAI Partner Network functions and how its tier structure accelerates enterprise AI services, watch OpenAI Partner Network Overview. This video provides helpful context on the $150M ecosystem investment and the partner tiers supporting enterprise deployments.

The post Blend360 Announces OpenAI Partner Network to Accelerate Enterprise AI Adoption appeared first on ITDigest.

Stan Viner, Financial Industry Veteran and Strategic Advisor, said, “Financial institutions are competing for customers alongside national banks and fintechs that have raised expectations for personalized experiences. Movemint brings capabilities that have traditionally been available only to much larger organizations, enabling banks to deliver timely, relevant financial offers and provide the relationship-focused service that sets them apart.”

Movemint’s market expansion comes as FIs look for additional ways to streamline the path from marketing to activation and deliver customized and timely experiences to consumers. With direct integration into existing internal and external systems, such as their core, digital banking or contact center, the platform automatically presents product offerings to customers that are tailored to their unique situation. It allows customers to redeem preapproved offers, open new loan and deposit accounts, and/or apply for loans in the channel they are already using, reducing friction, minimizing risk and improving conversion across channels.

Also Read: Kurv Introduces Kurv Agent Portal to Simplify ISO and Agent Workflows 

Brian Bodell, CEO of Movemint, said, “Financial institutions are the lifeblood of their communities. They know their customers and businesses better than anyone and provide the best service and rates in their markets.  Movemint has proven over the last 15 years that they can drive hundreds of millions of loan and deposit growth to FIs by seamlessly embedding personalized offers for both existing and prospective customers.  As the statistics clearly illustrate, turning an FIs data and channels into revenue engines is critical as FIs are in fierce battles with neobanks, fintechs, and big banks.”

Movemint’s platform can meet surging bank demand for personalized digital experiences that boost engagement, deepen relationships, and drive measurable growth. Combining actionable intelligence, automation, and performance insights, Movemint delivers the right offer at the right time across every touchpoint while banks retain full control of the customer experience.

Bodell continued, “Financial institutions are increasingly competing with dealerships, online lenders, national banks and fintechs for the same customers. Movemint transforms a bank’s digital banking, branches, contact centers, and existing marketing channels into a coordinated growth engine, surfacing relevant financial products in real time.”

About Movemint 

Movemint is an embedded personalization platform that helps financial institutions drive deposits, loans,  and non-interest income growth through highly tailored experiences. Integrated into a financial institution’s existing systems, the platform supports coordinated engagement across branch, contact center and marketing channels. By connecting intelligence, automation, and performance insights, Movemint enables institutions to convert engagement into measurable outcomes.

The post Movemint’s Embedded Personalization Platform Now Available to the Banking Sector appeared first on ITDigest.

“Computer vision must do more today than just reliably capture images. What is crucial is how quickly and easily image processing moves from an idea to a concrete application and how well cameras, software, and AI functions can be integrated into existing systems. This is exactly what we align our product strategy with: IDS offers industrial cameras and computer vision components that users can flexibly combine into their own solutions. Instead of turnkey systems, we focus on modular hardware and software with high quality, long-term availability, technological standards, and comprehensive support right up to customer-specific customizations. Being close to customers and partners is essential: Requirements from real-world applications feed directly into our development process, helping to improve existing products, expand our portfolio, and bring innovations to industrial applications more quickly. At VISION 2026, we will demonstrate how IDS continues to advance machine vision, from traditional industrial cameras to computer vision components with integrated AI,” explains Jan Hartmann, Managing Partner at IDS. 

Product and technology innovations for VISION 2026 

IDS Imaging Development Systems has been developing industrial cameras and computer vision components for industrial and non-industrial applications for almost 30 years. The focus of this year’s trade fair presence is on new uEye vision camera platforms, which serve as the technological basis for upcoming 2D industrial camera series. They are designed for higher performance, simple integration, and long-term availability. 

Also Read: Increasingly Dangerous Threats, Not More Alerts, Are the New SOC Challenge 

Another focus area is event-based imaging. Together with Prophesee, IDS provides insight into further developments in the field of event-based cameras. The technology is particularly suitable for highly dynamic applications such as drones, AGVs, and autonomous systems, for example for object recognition, tracking, or safe navigation. 

In the field of 3D vision, the company is presenting news regarding the 3D ToF camera Nion, including a new RGB set for synchronized image acquisition that merges color and depth data. In addition, IDS will showcase a new version of the Ensenso N Series active stereo vision system for precise and robust 3D data acquisition in robotics, bin picking, and metrology. 

AI cameras and embedded vision systems are also part of the technology roadmap. IDS is expanding the uEye Live series of monitoring cameras with streaming and recording capabilities to include AI-enabled models, enabling AI-powered image processing on-the-edge. High-performance neural networks from our partner DENKweit perform tasks such as fast object and position detection, precise parcel handling and efficient code reading. 

Insight into innovation projects 

As a key innovation project, IDS is presenting the “GMSL Multi-Camera Vision System.” It demonstrates how intelligent embedded vision processes and combines images from multiple cameras with integrated ISPs and SoCs directly within the system, before transmitting the resulting data via a single GMSL cable. This reduces latency and data load in favor of a reliable basis for your own projects with distributed GMSL cameras, 

especially in mobile applications. 

Another project demonstrates active focus control fully integrated into the camera, where control and feedback occur directly via the software. The robust hardware is suitable for demanding applications in logistics, autonomous systems, and retail. 

For vegetation analysis, IDS is showing an NDVI camera that combines multispectral imaging with high resolution color imaging. It makes the health status of plants visible and provides reliable NDVI (Normalized Difference Vegetation Index) values, with which planning and resource allocation in agriculture can be specifically improved. 

VISION Makeathon 2026 

At the VISION Makeathon 2026, tangible prototypes are created from ideas: Interdisciplinary teams develop practical solutions for current image processing challenges within one day. IDS contributes as a project company with its own challenge, technology, and expert know-how. 

VISION, the world’s leading trade fair for image processing, will take place October 6–8 at Messe Stuttgart.

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 high performance 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. 

The post IDS at VISION 2026: Trends. Innovations. Future appeared first on ITDigest.

Addressing this challenge, enterprise data security pioneer Seclore announced a strategic partnership with enterprise AI platform leader Glean. The integration unifies Glean’s enterprise context graph with Seclore’s ARMOR Data Security Posture Management (DSPM) and Enterprise Digital Rights Management (EDRM) capabilities.

By writing persistent classifications and encryption controls directly onto source files, the joint solution ensures that sensitivity labels follow data wherever it travels—whether opened in native applications, shared externally, or surfaced through conversational AI.

The News: File-Level Persistent Encryption Meets Enterprise AI Search

The core technical achievement of the Seclore and Glean partnership is bridging enterprise-wide discovery with persistent, file-level execution. Traditionally, discovering sensitive data across thousands of SaaS applications and cloud repositories required months of standalone scanning projects.

Also Read: EPAM Partners with Wiz to Accelerate Enterprise Cloud Risk Reduction and Cyber Resilience

The joint solution leverages Glean’s pre-indexed enterprise graph to bootstrap Seclore’s classification engine, drastically accelerating coverage:

Bootstrapped Contextual Discovery: Uses Glean’s existing search index across corporate systems (Microsoft 365, Slack, Google Drive, Jira) to immediately identify and classify sensitive data without running duplicate discovery scans.

File-Level Persistent Metadata: Seclore ARMOR writes sensitivity labels directly onto source files. These labels persist independently of any platform or network boundary, ensuring controls hold even when downloaded or emailed.

Actionable EDRM Remediation: Once sensitive data, intellectual property, or personally identifiable information (PII) is flagged, Seclore automatically applies Enterprise Digital Rights Management (EDRM)—enforcing granular permissions on who can view, edit, print, or forward the document.

Automated Regulatory Mapping: Continuous mapping aligns document classifications with global privacy and compliance frameworks, including GDPR, HIPAA, and India’s DPDP Act.

Transforming the Cybersecurity and Data Security Posture Management (DSPM) Industry

The integration between Seclore and Glean signals a defining shift across the Cybersecurity, Data Security Posture Management (DSPM), and Enterprise AI markets.

The End of “Visibility-Only” Security Dashboards
For years, DSPM tools focused almost exclusively on discovery generating static dashboards that highlighted where sensitive data lived. However, alerting security teams to misconfigured files without offering automated, file-level protection created massive operational backlogs.

The Seclore – Glean alliance accelerates the industry’s move toward actionable DSPM. Security software vendors are no longer evaluated simply on their ability to find data; they must offer automated, persistent remediation that locks down files at the point of discovery.

Unlocking “High-Value” Restricted Repositories for Enterprise AI
Until now, CISOs in regulated sectors frequently restricted AI platforms from indexing high-stakes repositories such as legal contracts, M&A room documentation, HR records, and core financial models due to fears of over-permissioned access.

By embedding persistent, file-level rights management directly into the search ecosystem, Seclore and Glean remove this adoption barrier. Organizations can safely grant enterprise AI assistants access to restricted business data, knowing that file-level permissions hold firm regardless of how data is surfaced.

Broad Operational Impact on Enterprise Businesses

For regulated enterprises particularly in financial services, healthcare, legal, and government—adopting context-aware, persistent security delivers clear operational advantages:

De-Risking AI Scaling in Regulated Sectors
Using enterprise AI without having a proper way of managing how data stays persistent will not only open your company up to very high penalties from the regulators but also could ruin your brand and reputation, which will happen if a sensitive asset gets into wrong hands by mistake. When you use a persistant file-level EDRM it makes sure that the data access policy is going with the user and the asset at all times. This way, the risk officers will no longer worry about the expansion of the generative AI programs on an enterprise level.

Removing Governance burden from IT Security Teams
Security operations personnel routinely spend hundreds of hours manually checking file permissions across different cloud storage services. With the help of automation tools for discovery classification persistent encryption and one context-aware engine, you will be saving internal IT talent of the administrative burden – they will be able to work on the more challenging parts of threat management and at the same time maintain full compliance with the regulations.

The post Seclore and Glean Partner to Deliver Context-Aware, Persistent Data Security for Enterprise AI appeared first on ITDigest.

While developers continue to build highly capable AI agents, operationalizing these models across multi-disciplinary teams frequently requires custom integrations, manual context sharing, and fragmented tool switching. Switch eliminates this coordination friction by establishing model- and platform-agnostic environments. Utilizing Model Context Protocol (MCP), standard APIs, and flexible adapters, the software allows engineering teams to connect agents built on diverse frameworks such as OpenAI, Claude Code, Google ADK, and LangChain without locking business workflows into a single vendor ecosystem.

“Every team we talk to has capable agents trapped in separate tools, and a coordination tax eating the productivity those agents were supposed to deliver,” said Mohammed Aboul-Magd, General Manager, SandboxAQ. “Switch pulls agents into the channels where teams already work, where knowledge compounds instead of being relearned with every task. If you can message a colleague, you can put an agent to work.”

Also Read: DXC Technology and Primary Unveil AI-Native Zero Trust Platform to Secure Enterprise AI

Preserving Context and Eliminating Cross-Tool Friction

Engineered to transform standard chat channels into dedicated operational rooms, Switch maintains project timelines, resource files, and conversational history directly within the workspace. As specialists or specialized agents join, leave, or hand off tasks, project context remains intact—preventing information resets and accelerating output across complex enterprise workflows.

Key technical capabilities of Switch include:

Open-Source Architecture: Rapid deployment models for Quick Start and Team editions, allowing enterprise IT departments to deploy without vendor lock-in.

Framework Interoperability: Native compatibility for custom agents created via Claude Code, Google ADK, LangChain, OpenAI, and other prominent development suites.

Unified Channel Workspace: Embeds autonomous agents directly into existing corporate messaging systems, including Slack, Microsoft Teams, and Discord.

Persistent Context Preservation: Retains historical channel context, ongoing documentation, and operational rules through every task hand-off.

Multi-Room Agent Scalability: Permits a single AI agent to operate simultaneously across multiple project channels while preserving unique context boundaries for each room.

Real-World Multi-Disciplinary Applications

SandboxAQ’s internal engineering, design, and marketing teams utilized Switch throughout its own software development lifecycle. By structuring workflows around dynamic task channels, cross-functional teams applied specialized agents across distinct enterprise scenarios:

Incident Response: Security and DevOps engineering teams pull specialized diagnostic agents into live incident channels, instantly providing models with real-time system timelines without manual briefings.

Marketing Campaign Execution: Content teams staff campaign rooms with dedicated research, copywriting, and design agents, building assets sequentially within a shared history.

Legal Drafting & Review: Legal departments integrate contract drafting and compliance audit agents that maintain full deal history, compressing contract review cycles.

Ecosystem Expansion via Flint AI

Switch forms a core component of Flint AI, SandboxAQ’s dedicated suite of enterprise AI agent products. The software extends the local agent testing capabilities offered by the free Flint CLI tool, providing a direct pathway from individual model evaluation to full-scale team deployment inside enterprise environments.

The post SandboxAQ Open-Sources Switch to Bring AI Agents into Team Chat Platforms appeared first on ITDigest.