Three Developments Worth Watching

1. SentinelOne and Lenovo extend AI security: Integrating prompt protection into enterprise security offerings addresses growing risks from unauthorized AI use and data exposure.
2. Cognizant introduces AI Nexus: Managing AI costs, quality and outcomes becomes increasingly important as enterprises expand deployment.
3. Nutanix and Netris combine cloud infrastructure capabilities: Automated networking and multitenancy could help providers deliver secure GPU-based services more efficiently.

These developments demonstrate that successful AI adoption requires more than access to models. Enterprises need coordinated infrastructure, measurable performance and security controls that extend across the AI lifecycle.

5 IT and Technology News Stories

1. SentinelOne and Lenovo Extend Collaboration With AI Agent Security Capabilities

SentinelOne and Lenovo are expanding their partnership by integrating SentinelOne Prompt Security into Lenovo’s ThinkShield Security Portfolio, adding AI discovery, prompt protection and data loss prevention capabilities.

As employees increasingly use generative AI and autonomous agents, conventional endpoint security may not adequately address sensitive information entering external AI tools. Embedding AI governance into existing enterprise security offerings could help organizations adopt AI without relying on blanket restrictions. The challenge will be maintaining visibility across approved and unauthorized tools while ensuring policies keep pace with increasingly autonomous systems.

2. Cognizant AI Nexus Redefines Enterprise AI Infrastructure Governance

Cognizant AI Nexus focuses on helping enterprises govern AI costs, quality and outcomes as they deploy AI across business operations and technology environments.

As organizations expand AI adoption, fragmented deployments can make it difficult to track spending, compare model performance and demonstrate business value. A coordinated governance approach could help IT leaders make better infrastructure decisions and identify underperforming investments. The broader opportunity is to shift enterprise AI management from experimentation towards measurable operational outcomes. However, governance frameworks must provide actionable visibility without creating additional complexity for teams already managing diverse technology environments.

3. Nutanix and Netris Introduce Integrated Multitenant Infrastructure for AI Clouds

Nutanix and Netris are developing an integrated infrastructure stack combining compute orchestration, virtualization and network automation to support secure, multitenant GPU services for neocloud operators and enterprise data centers.

Demand for AI computing is increasing pressure on providers to deliver GPU capacity with reliable isolation, networking and self-service provisioning. Automating these layers could shorten deployment cycles and help providers monetize infrastructure more efficiently. For enterprise customers, stronger workload isolation may also support more secure shared environments. Commercial success will depend on interoperability, predictable performance and the economics of operating GPU-intensive services at scale.

4. Cloudflare Expands Its AI Workspace Platform

Cloudflare is expanding its AI Workspace ecosystem through partnerships designed to connect AI applications, edge inference, vector search, storage and enterprise security controls.

Businesses deploying AI assistants often encounter latency, fragmented data pipelines and concerns about exposing proprietary information to external models. Combining these capabilities within a connected platform could simplify development and improve access to enterprise knowledge. Edge-based inference may also benefit applications requiring responsive interactions. However, enterprises will need to assess model suitability, data residency, security controls and total operating costs before deciding which workloads belong at the edge or in centralized cloud environments.

5. S&P Global Strengthens Private Markets Analytics With New AI Capabilities

S&P Global is expanding its AI capabilities across private markets analytics, supporting investment professionals seeking deeper insights from complex financial and portfolio information.

Private markets involve fragmented data, extensive documentation and limited transparency compared with publicly traded assets. AI-powered analysis could help investors identify relevant information faster, evaluate portfolio risks and improve research workflows. Yet financial decisions require traceability and reliable underlying data. The competitive advantage will depend on whether these capabilities deliver verifiable insights while preserving confidentiality and analytical rigor, rather than simply accelerating document processing.

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Essential Enterprise IT Service Management Tools: How to Choose the Right ITSM Platform

The article examines how enterprises can select IT service management platforms based on workflow automation, incident resolution, asset visibility, integration and scalability. It highlights the importance of aligning platform capabilities with organizational requirements, service quality and budgets. As AI enters IT operations, businesses should also evaluate governance, usability and measurable improvements in service delivery.

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Also Read: Corsha Releases Folio to Forever Replace Manual OT Network and Compliance Documentation

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M&A leadership involves evaluating potential transactions, assessing financial and commercial risks, coordinating due diligence, and determining how investment opportunities align with an organization’s long-term priorities. The role also requires collaboration across finance, legal, strategy, and business teams to assess the potential value and implications of a transaction.

Also Read: DigniFi Appoints Jefim Piekarz as Chief Product Officer 

Mastercard operates across a rapidly evolving payments landscape shaped by digital commerce, changing consumer preferences, financial technology innovation, and emerging payment methods. Strategic investments and acquisitions can help companies respond to these developments, expand their capabilities, and strengthen their position in competitive markets.

Ogawa’s professional background includes experience in corporate development and investment-related roles. Her move into the M&A Director position marks a new stage in her career within the financial services and payments sector.

The appointment highlights the continued importance of strategic transaction management as global financial technology companies assess opportunities for expansion and innovation. As the payments industry evolves, M&A professionals will continue to play a role in evaluating potential investments, supporting corporate strategy, and identifying opportunities that align with changing market demands.

The post Cristiana Ogawa Takes on M&A Director Role at Mastercard appeared first on ITDigest.

Keeping up-to-date as-running documentation of an industrial network is tedious, manual work. More often than not, OT documentation doesn’t exist, or the environment has drifted so far it’s of little use to OT teams. Manual assessments take weeks of labor across a myriad of tools, and the compliance artifacts they produce are often still incomplete and inaccurate.

Folio uses the power of Corsha Gatekeepers to capture the identities, connections, and data flows on the OT network, answering what is communicating, when, why, and how. Teams can generate derived hardware lists, connection maps true to the moment, and Microsoft Visio data flow diagrams. That documentation is ready to share across OT, security, and network teams and is designed for risk management and compliance frameworks, including IEC 62443, NERC CIP, and Zero Trust.

Also Read: Spectrum Instrumentation General-purpose digitizers get onboard averaging function

Unlike previous manual approaches, Folio brings together real-time connections, data flows, machine identity, and access intelligence. Rather than building more data-drowning dashboards, Folio produces actionable artifacts that teams can use to assess risk, make real-time decisions, and modernize with confidence.

“Industrial enterprises can’t modernize safely when their operational picture no longer reflects how their operations actually run,” said Anusha Iyer, Founder and CEO of Corsha. “Folio builds on the identity intelligence at the heart of our platform to give security and operational leaders an accurate, current understanding of every machine and every connection, and its purpose in their environment. That means faster recovery when incidents happen, compliance that keeps pace with change, and a clear path to adopting new technologies like robotics and physical AI. We are excited about this use of AI and ML in the Corsha platform to automate the tedious but critical work of day-to-day operations.”

Folio supports three core use cases:

• Day-to-day operations: For OT operators who assess risk, make daily decisions, and respond to incidents, Folio removes the need to manually maintain system and network documentation.
• Continuous compliance: For OT leaders working to clear compliance roadblocks to innovation, such as Authority to Operate (ATO), Zero Trust, and NERC CIP, Folio delivers updated system, connection, and architecture documentation in minutes.
• Accelerated technology adoption: For OT leaders and architects bringing in advanced robotics, physical AI, predictive analytics, and more, Folio enables teams to assess the impact of new industrial capabilities on brownfield environments to speed production deployment.

Key Folio capabilities include:

• Real-time visibility – Uses the Corsha Industrial Identity Security Platform and its Gatekeepers to deliver the most current, as-running view of what’s on the OT network.
• Connection intelligence – Maps connections and data flows, not just inventory, so teams can answer the what, where, when, and why questions needed to secure and modernize their operations.
• Identity core – Builds on the Corsha Platform’s identity-based foundation to monitor and track changes that IP addresses alone can’t reveal, keeping assessments accurate as operations evolve.
• Architecture design – Lets teams design boundaries, zones, and machine groups on a live Connection Canvas that shows data flows, connections, and the segmentation and policies that are live and enforced.
• IEC 62443 native – Speaks the industry-standard language of IEC 62443, from the Connection Canvas through to exported assessment artifacts.
• Visio export ready – Exports accurate operating diagrams to Microsoft Visio so teams can collaborate in the most common OT design format.

With the new Corsha Folio module, organizations can cut the time spent on compliance activities by orders of magnitude, reduce time to recover from security incidents and errors, prevent misconfigurations and downtime with always up-to-date system specifications, and eliminate the cost of manually maintaining operations documentation.

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The challenge is growing as enterprises distribute applications and workloads across on-premises infrastructure, public clouds, software-defined networks and cloud-managed security platforms. A 2026 Cloud Security Alliance survey found that 92% of organizations reported at least some difficulty obtaining a single, accurate view of security policies across their environments. Fragmented visibility and manual processes can make it harder to identify unintended connectivity, maintain compliance and understand the security implications of changes, particularly as AI-driven development and automation increase the pace of change across the enterprise.

TOS 5.4 addresses these challenges by extending Tufin’s coverage to three additional platforms Stormshield Network Security, Broadcom VMware Cloud Foundation (VCF) with NSX 9.1, and FortiManager Cloud while expanding rule recertification and compliance capabilities across cloud and multi-vendor environments. These enhancements help organizations bring more of their network under consistent governance, reduce gaps in policy visibility, and maintain security oversight as their infrastructure evolves.

Also Read: Quadient Expands Agentic AI to Accounts Receivable, Turning Customer Emails into Action 

“AI is changing how quickly organizations can transform their environments, and how quickly attackers can identify and exploit opportunities,” said Raymond Brancato, Tufin CEO. “Security teams cannot keep pace if they are working from fragmented views of their networks or relying on manual processes to understand the impact of every change. Many of the capabilities in TOS 5.4 came directly from our customers, who told us exactly where their visibility and compliance gaps were. This release closes those gaps across Stormshield, VMware, Fortinet, Palo Alto and the cloud.”

Expanding the Industry’s Most Comprehensive Network Security Platform

TOS 5.4 extends Tufin’s multi-vendor network security platform with new integrations and enhancements designed to provide consistent policy visibility, compliance, and automation across diverse infrastructure. Built on Tufin’s Unified Control Plane and Dynamic Network Connectivity Graph, the platform helps organizations understand connectivity and govern policy changes across heterogeneous environments. Key capabilities in this release include:

• Stormshield Network Security Support: Adds native support for Stormshield SNS firewalls, extending policy visibility, Unified Security Policy (USP) compliance, change tracking, network topology, and SecureChange access request automation. Stormshield is widely deployed across European government, defense and critical infrastructure, and this integration reduces manual audit effort for environments subject to NIS2. Organizations can bring Stormshield-managed environments into their broader network security governance processes, reducing policy blind spots and manual effort in mixed-vendor networks.
• Broadcom VMware Cloud Foundation with NSX 9.1 Support: Extends Tufin coverage to NSX 9.1 running on VMware Cloud Foundation, maintaining feature parity with previous NSX releases. Organizations undertaking the transition to VCF can preserve their existing Tufin policy management capabilities and maintain security visibility, compliance, change tracking, and automation throughout the migration.
• FortiManager Cloud Support: Extends Tufin policy management to FortiGate firewalls managed through FortiManager Cloud, providing the same visibility, topology, compliance, and automation capabilities available for on-premises FortiManager environments. This enables Fortinet customers moving to cloud-based management to maintain consistent policy governance without introducing separate manual processes.
• Improved Palo Alto Panorama Policy Analysis: Incorporates the rule Target field into policy visibility, revision comparison, shadowing detection, and traffic path simulation. By modeling the devices to which a rule actually applies, Tufin helps reduce false positives in policy cleanup and improve the accuracy of topology and connectivity analysis.
• Expanded Rule Recertification Across Cloud and Multi-Vendor Environments: Extends Tufin’s rule recertification workflow to supported cloud and multi-vendor platforms, including AWS Network Firewall, Azure Network Security Groups (NSGs) and firewall policies, Google Cloud VPC Firewall, Palo Alto Networks Strata Cloud Manager, VMware NSX-T Gateway, Cisco Meraki, Zscaler ZIA, Stormshield, and more. By bringing rules into a common review process, organizations can reduce compliance gaps, strengthen audit readiness, and identify rules that no longer meet business or security requirements.
• Enhanced Unified Security Policy Compliance: Adds application-specific blocking policies through Application ID support, enabling organizations to express and enforce application-level restrictions directly within USP. The release also introduces automated detection of next-generation firewall rules missing Security Profile Groups or Log Forwarding Profiles, helping teams identify gaps in inspection and logging controls without relying on manual rule reviews. In addition, for Akamai Guardicore and Illumio microsegmentation environments, USP compliance checks now evaluate all tags associated with an asset, including indirect tags, improving the detection of violations involving workloads with multiple classifications.

Improving Policy Accuracy, Optimization, and Change Automation

In addition to expanding platform coverage and compliance capabilities, TOS 5.4 introduces enhancements that help security teams improve policy accuracy, streamline network operations, and reduce the risk associated with infrastructure changes.

The post Tufin Advances AI-Ready Network Security with Expanded Platform Coverage and Compliance in TOS 5.4 appeared first on ITDigest.

Piekarz will lead DigniFi’s Product and Engineering organizations, overseeing product strategy, technology development, and innovation. Based in New York, he will report directly to CEO Neeraj Mehta.

His appointment comes as DigniFi seeks to strengthen its product-focused approach and align technology development more closely with customer and merchant requirements. The company provides financing solutions for automobile, powersports, and recreational vehicle expenses, including repairs, maintenance, parts, and accessories.

Piekarz joins DigniFi after holding leadership positions at Octane Lending, Etsy, and LogMeIn. At LogMeIn, he helped launch and scale Xively, an Internet of Things platform that was later acquired by Google for $75 million. His professional background spans financial services, digital platforms, and technology product development.

Also Read: Scytale Introduces MCP Integration to Bring Live Compliance Data Into AI Workflows 

According to Mehta, Piekarz will help shape product strategy, establish development priorities, and ensure that the company’s solutions reflect the needs of its customers and partners.

The appointment highlights the growing importance of product and engineering leadership within financial technology. As digital financing becomes increasingly integrated into purchasing and service transactions, companies must balance technology development with usability, operational efficiency, and the needs of different stakeholders.

For businesses operating in point-of-sale financing, digital platforms connect consumers seeking payment options with dealerships and service centers offering vehicle-related products and services. Improving these experiences requires coordination between product design, engineering, and business operations.

Piekarz’s experience across FinTech and digital marketplaces brings a combination of financial services knowledge and broader technology expertise to his new role. His appointment reflects DigniFi’s focus on product development as it continues to evolve its financing platform and serve automotive-related businesses across the United States.

The post DigniFi Appoints Jefim Piekarz as Chief Product Officer appeared first on ITDigest.

The appointment comes as telecommunications providers continue to compete for customers across home internet and fiber services. With broadband becoming an increasingly important part of the connectivity market, commercial leadership plays a key role in customer acquisition, retention, pricing, and business performance.

In his new position, Love’s responsibilities are associated with the commercial management of T-Mobile’s broadband business, which includes high-speed internet and fiber offerings. The role involves aligning growth strategies with customer demand, evaluating market performance, and coordinating initiatives across functions such as marketing, finance, pricing, and sales.

Broadband providers face growing pressure to attract new subscribers while retaining existing customers in a competitive market. Promotional strategies, customer experience, service availability, and pricing all influence purchasing decisions. Managing these areas requires a balance between subscriber growth, customer retention, and long-term revenue objectives.

Also Read: HighByte and Databricks Partner to Make Industrial Data More Accessible for AI Applications 

T-Mobile has been expanding its presence beyond traditional mobile services, with broadband representing an important part of its broader connectivity strategy. The company operates in a market where wireless home internet and fiber services are increasingly relevant to households seeking reliable connectivity for remote work, streaming, connected devices, and everyday digital activities.

Love’s appointment reflects the importance of commercial strategy in the evolving telecommunications landscape. As providers expand their broadband offerings, leadership teams must respond to changing customer expectations, competitive pressures, and opportunities across different distribution channels.

The move also highlights how broadband growth increasingly depends on more than network availability alone. Customer acquisition, retention planning, market intelligence, and coordinated execution are central to how telecommunications companies manage their services and compete for subscribers.

As the broadband market continues to evolve, commercial leadership will remain an important factor in shaping how providers pursue growth and respond to changing connectivity needs.

The post Sean Love Joins T-Mobile as Vice President of Commercial Management, Broadband appeared first on ITDigest.

In his new position, Serassio will focus on connecting market insights, customer conversations, and industry relationships with Glow’s strategic priorities. His responsibilities will include helping translate feedback from the cybersecurity community into actionable insights that inform the company’s direction and customer engagement.

Reflecting on his career transition, Serassio acknowledged the Lockstep team and community for their support and the opportunities that contributed to his professional development. He also highlighted the importance of relationships built with colleagues, customers, partners, and industry peers throughout his career.

Also Read: Virtuozzo Updates Infrastructure System to Support Flexible Deployment and NVIDIA Integration

The appointment comes as artificial intelligence reshapes enterprise operations and creates new challenges for cybersecurity teams. As organizations adopt AI-powered applications and tools, security professionals face growing demands to understand what is operating across their environments and address potential risks before they develop into incidents.

Glow focuses on endpoint security, with an approach centered on improving visibility and preventing security issues rather than relying solely on detecting and responding to threats after they occur. This shift reflects a broader industry discussion about how traditional security strategies must evolve to address increasingly complex technology environments.

Serassio’s experience working closely with cybersecurity leaders and founders is relevant to this changing landscape. His new role will bring together industry engagement, relationship building, and strategic execution, helping ensure that market perspectives contribute to organizational decision-making.

His move highlights the growing importance of collaboration between security practitioners and technology companies as the industry works to address emerging risks associated with AI adoption. As cybersecurity priorities continue to evolve, translating real-world challenges into practical strategies remains an important consideration for enterprise technology leaders.

The post James Serassio Joins Glow as Head of Strategic Initiatives appeared first on ITDigest.

Palantir has embedded engineers directly alongside the Bank’s in-house AI engineering and technology teams building on the Bank’s own data and systems. That work is aimed at two key drivers of the Bank’s growth: a best-in-class customer experience, and the ability to onboard new customers at scale without losing personal touch. With deposits growing 15% and client deposit accounts up over 17% year over year, this initiative is designed to sustain and scale that growth trajectory.

Also Read: Virtuozzo Updates Infrastructure System to Support Flexible Deployment and NVIDIA Integration

“You only get one chance to make a first impression, and for a growing number of our customers, that first impression is how fast and seamlessly we open their account,” said Sam Sidhu, President and CEO of Customers Bancorp. “This collaboration with Palantir is the beginning of something bigger for Customers Bank: a shared vision to make every client’s first experience with Customers Bank the best in the industry, at the scale our growth demands. This initiative is another step toward our goal: becoming the AI-native leader in banking.”

“Customers Bank has already shown it’s willing to move faster and build deeper than most banks of its size. This is exactly the kind of use case our platform was built for. We’re proud to put our engineers alongside Customers Bank’s own AI and technology teams with the goal of building a client deposit onboarding and servicing experience that sets a new bar for the banking industry,” said Elias Davis, Office of the CEO at Palantir Technologies, Inc.

The Bank and Palantir will seek to deploy AI and automation to further streamline document collection, entity verification and risk signal aggregation into a more connected, real-time digital application experience.

SOURCE: Businesswire

The post Customers Bank Partners With Palantir to Drive AI-Powered Digital Banking appeared first on ITDigest.

Three Developments Worth Watching

1. DigitalOcean builds for self-improving AI agents: Managed memory, data services and feedback loops could simplify the development of autonomous applications.
2. NVIDIA and Cisco target AI infrastructure bottlenecks: High-density optical connectivity aims to support larger AI systems with greater efficiency.
3. HighByte and Databricks connect industrial data with AI: Governed, contextualized factory data could help manufacturers move from isolated experiments to operational use cases.

These developments matter because AI progress increasingly depends on what surrounds the model: reliable infrastructure, usable data and the ability to translate insights into action.

5 Technology News Stories

1. DigitalOcean Introduces Agent Learning and Data Services

DigitalOcean has introduced managed services for autonomous AI agents, combining persistent memory, vector data management and continuous feedback on its cloud infrastructure.

The move addresses a practical barrier to agent adoption: developers often need to assemble multiple services to maintain context and improve agent performance. Integrating these capabilities could reduce development complexity and make costs easier to manage, particularly for startups. However, self-improving systems still require evaluation, safeguards and human oversight. Easier deployment will matter most when agents perform reliably in real-world workflows.

2. NVIDIA and Cisco Collaborate on High-Density Optical Modules

NVIDIA and Cisco are developing a high-density, pluggable optical interface designed to connect increasingly large AI infrastructure and GPU clusters.

As AI workloads scale, networking bandwidth, power consumption and heat increasingly constrain data-center design. More efficient optical connectivity could help operators expand computing capacity without proportionally increasing networking overhead. A standardized approach may also simplify deployment across infrastructure ecosystems. The broader lesson is that AI scaling depends on more than faster processors. Connectivity and energy efficiency are becoming equally important considerations in infrastructure investment.

3. Xero Integrates Google Gemini for Financial Analytics

Xero is integrating its accounting intelligence with Google Gemini, allowing small businesses, advisors and bookkeepers to query financial data and generate reports through natural-language prompts in Google Workspace.

The integration could reduce the time small businesses spend switching between accounting dashboards, spreadsheets and documents to understand cash flow or investigate financial trends. It also brings AI closer to everyday decision-making instead of requiring users to learn separate analytics tools. The key test will be whether answers remain accurate, secure and useful enough to support financial decisions without replacing proper verification.

4. Atos and Fortinet Expand Their Global Cybersecurity Partnership

Atos and Fortinet are expanding their partnership into a globally coordinated cybersecurity model for hybrid and multicloud environments, combining security technology with consulting and managed services. The arrangement draws on Atos’s network of 17 security operations centers.

For multinational organizations, a more unified approach could reduce fragmented security policies, inconsistent regional contracts and visibility gaps across cloud environments. It also reflects demand for managed protection as security teams face complex threats and talent shortages. However, vendor consolidation only helps if organizations retain clear oversight, consistent service quality and measurable improvements in threat detection and response.

5. HighByte and Databricks Make Industrial Data More Accessible for AI

HighByte and Databricks are extending their integration to stream contextualized industrial data into the Databricks Data Intelligence Platform, supporting analytics, machine learning and agentic AI applications.

Manufacturers often hold valuable operational data across disconnected systems, making it difficult to use consistently in AI projects. Connecting industrial data with governed analytics infrastructure could reduce custom integration work and help teams apply insights to quality, productivity and maintenance. The challenge remains data quality and governance. AI cannot produce dependable operational decisions when underlying factory data is incomplete, inconsistent or poorly contextualized.

ITDigest Featured Article

Future of Digital Payments: How Fintech Disruption Is Reshaping the Global Financial Ecosystem

Digital payments are evolving through real-time transfers, digital wallets, embedded finance and AI-driven fraud detection. This article examines how these technologies are changing customer expectations, business cash flow and financial inclusion. It also explores persistent challenges, including cross-border friction, security risks, regulation and system integration. Its central argument is that faster payments create value only when businesses combine convenience with reliability, interoperability and customer trust.

ITDigest Weekly Observations

This week’s announcements point to a shift from isolated technology upgrades towards connected systems built for practical use. AI agents need reliable memory and governed data; AI infrastructure needs efficient networking; businesses need financial and operational insights they can act on; and cybersecurity must scale across increasingly complex environments.

The common challenge is execution. Integrations can reduce friction, but they cannot compensate for weak data, poor governance or unclear business objectives. As these technologies mature, the next question is: Which organizations will turn these connected capabilities into measurable productivity gains, and which will remain stuck in implementation?

The post ITDigest Weekly Roundup: Self-Improving AI, Smarter Infrastructure and the Future of Digital Finance appeared first on ITDigest.