In Hardware and Network news this week…

TOHKnet and Adtran Achieve Industry Milestone with Japan’s First Live 50G PON Trial
TOHKnet and Adtran have achieved a major connectivity milestone with Japan’s first live 50G PON trial. The deployment demonstrates the potential of next-generation fiber infrastructure to deliver significantly higher bandwidth for businesses and consumers. As AI workloads, cloud applications, and data-intensive services continue to expand, faster optical networks will become increasingly important for supporting future digital infrastructure.

In Business Technology news this week…

Workiva Unveils Specialized AI Agents and Intelligence Layer for High-Stakes Reporting
Workiva has introduced specialized AI agents and a new intelligence layer designed to support high-stakes reporting processes. The technology aims to help organizations automate complex reporting activities while improving accuracy, consistency, and oversight. As regulatory and financial reporting requirements become more demanding, AI-powered tools can help enterprises streamline workflows while maintaining stronger governance and control.

In Cloud Computing & Mobility news this week…

Cloudflare Launches Identity-Aware AI Gateway to Audit, Analyze and Secure Enterprise AI Usage
Cloudflare has launched an identity-aware AI Gateway to give enterprises greater visibility and control over how employees and applications use AI services. The platform is designed to audit AI activity, analyze usage patterns, and strengthen security controls around enterprise AI deployments. With organizations increasingly adopting multiple AI tools, centralized visibility is becoming essential for managing security, compliance, and usage risks.

In Artificial Intelligence news this week…

DXC Technology and Primary Unveil AI-Native Zero Trust Platform to Secure Enterprise AI
DXC Technology and Primary have introduced an AI-native Zero Trust platform focused on securing enterprise AI environments. The solution is designed to provide stronger identity, access, and security controls as businesses integrate AI into critical workflows. The partnership highlights the growing shift toward security architectures specifically designed for AI-driven enterprise environments.

In Quantum Computing news this week…

SEALSQ Transitions Miraex Quantum Photonics Technology into Commercial Deployment Following 100% Acquisition
SEALSQ is moving Miraex’s quantum photonics technology toward commercial deployment following its acquisition of the company. The development strengthens SEALSQ’s position in quantum and photonics technologies while supporting efforts to translate quantum innovations into practical applications. The move reflects increasing industry investment in quantum infrastructure and technologies capable of supporting future computing and security requirements.

In FinTech news this week…

RFA Launches AI-Native MSP Platform to Transform Financial IT Operations
RFA has launched an AI-native managed services platform designed specifically to modernize IT operations within financial services. The platform aims to combine automation and intelligent monitoring to improve operational efficiency, resilience, and service delivery. As financial institutions face increasingly complex technology environments, AI-powered managed services can help organizations reduce operational friction while strengthening IT performance.

In HealthTech news this week…

Clarivate Expands Agentic AI Across Cortellis Portfolio to Accelerate Drug Development
Clarivate is expanding agentic AI capabilities across its Cortellis portfolio to help accelerate drug development and research workflows. The technology enables greater automation and intelligent assistance across scientific and pharmaceutical processes, potentially helping researchers work more efficiently with complex datasets. The development highlights how agentic AI is moving beyond general enterprise applications into specialized life sciences workflows.

In IT & DevOps news this week…

Kyndryl Introduces Agentic Modernization Services-as-Software to Accelerate Enterprise IT Transformation
Kyndryl has introduced agentic modernization services-as-software to help enterprises accelerate IT transformation. The offering uses AI-driven capabilities to automate and streamline modernization activities across complex technology environments. By combining intelligent agents with modernization expertise, Kyndryl aims to help organizations improve efficiency, reduce technical debt, and accelerate the transition toward modern IT architectures.

Article of the Week

Telehealth Implementation Guide: How Healthcare Organizations Can Build Secure, Scalable Virtual Care Services

Telehealth has become an important component of modern healthcare delivery, but successful implementation requires more than simply deploying virtual consultation tools. Healthcare organizations need secure technology infrastructure, reliable connectivity, interoperable systems, strong patient-data protections, and workflows that support both clinicians and patients. A scalable telehealth strategy should also account for regulatory compliance, cybersecurity, accessibility, and integration with existing healthcare systems. As virtual care continues to evolve, organizations that combine technology with strong governance and patient-centric design will be better positioned to deliver secure and effective digital healthcare services.

The post ITDigest’s Weekly News Roundup Featuring Workiva, Cloudflare, DXC Technology, RFA, Clarivate, Kyndryl and more appeared first on ITDigest.

As enterprises rapidly scale generative AI and autonomous agentic applications across core operations, traditional network perimeter security tools struggle to interpret non-deterministic model behaviors. Unmonitored prompt injection vectors, data exfiltration through connected API tools, and shadow AI deployments create mounting compliance and operational risks. The new platform resolves these gaps by embedding Zero Trust micro-segmentation and continuous threat monitoring directly into AI execution layers.

Unifying Zero Trust Architecture for Generative AI Pipelines

By integrating Primary’s specialized AI security guardrails into DXC’s global cybersecurity managed services framework, the platform offers enterprise clients a comprehensive defense mechanism tailored for complex hybrid cloud environments.

Also Read: Tines Unveils 3B to Secure and Govern Enterprise AI Workflows

Key operational capabilities of the platform include:

Discovery of Dynamic AI Assets & Models: Automatically discovers live foundation models, fine-tuned LLM endpoints, MCP servers, and agentic workflows within multicloud architectures.

Real-Time Context-Based Protection: Analyses the context in which user prompts, system prompts, and tool operations are executed in order to protect against prompt injection attacks, leakage of sensitive information, and misuse of tools.

Least-Privilege Access Control: Implements strict identity and role-based access control for AI agents to ensure that autonomous operations interact only with allowed enterprise systems and APIs.

Regulatory Compliance AI Observability: Records all the telemetry data from interaction and inference operations in order to comply with audit and security regulations.

Accelerating Safe Enterprise AI Adoption

The partnership combines Primary’s cutting-edge software architecture with DXC Technology’s extensive enterprise delivery scale. By addressing critical security vulnerabilities at the model and data layer, the joint offering enables Chief Information Security Officers (CISOs) and Chief Technology Officers (CTOs) to accelerate AI innovation without exposing enterprise assets to unmitigated risk.

The AI-native Zero Trust platform is available immediately to global enterprise clients through DXC’s Cyber Defense and Security Managed Services portfolio. Enterprise technology leads and security executives can review platform specifications or schedule operational consultations by visiting the official DXC Technology and Primary digital portals.

The post DXC Technology and Primary Unveil AI-Native Zero Trust Platform to Secure Enterprise AI appeared first on ITDigest.

d-Matrix, the pioneer in ultra-low-latency AI inference for data centers, announced the acquisition of Wallaroo.ai, a leader in AI inference deployment and orchestration software. The acquisition brings d-Matrix the technology platform, intellectual property, and expert engineering talent of Walaroo.ai.

The integration of Wallaroo follows the acquisition of GigaIO’s data center business in April, and further advances d-Matrix as a category leader for rack-scale heterogeneous AI solutions that pair GPUs with specialty XPUs to achieve maximum speed and energy efficiency.

With Wallaroo, d-Matrix now offers an end-to-end inference platform spanning high-performance silicon to deployment software making it easy for customers to deploy and scale low-latency inference from single-server nodes to multi-rack data center scale.

Also Read: Onspring Launches the Next Wave of AI Innovation with Agentic GRC

The members of Wallaroo’s engineering, product, and go-to-market teams joining d-Matrix bring deep expertise in software architecture, high-performance computing, Kubernetes operations, and AI inference systems.

“Our customers are deploying AI inference across increasingly complex, heterogeneous environments and they’ve told us the biggest barrier isn’t just performance, it’s also the operational complexity of getting there,” said Sid Sheth, founder and CEO of d-Matrix. “Wallaroo solves that. By integrating deployment and orchestration software directly into our stack, we’re giving customers the simplest, fastest path from evaluation to production-scale inference. We believe AI infrastructure should expand intelligence while expanding efficiency and that starts with making it effortless to deploy.”

“What drew us to d-Matrix was our shared belief that inference requires seamless deployment and scale, not just faster chips,” said Vid Jain, Founder and CEO of Wallaroo.AI. “Combining our AI orchestration software with d-Matrix’s purpose-built silicon immediately creates an inference platform that’s leaps and bounds ahead of the market. We’re thrilled to join a company with this level of vision and execution, as well as with an extraordinary culture. We’re very excited to build the future together.”

Source: PRNewswire

The post d-Matrix Acquires Wallaroo.ai to Accelerate AI Deployment appeared first on ITDigest.

In Business Technology news this week…

DXC and ElevenLabs Partner to Scale Conversational Voice AI Across Enterprise Infrastructure
DXC Technology and ElevenLabs have partnered to help enterprises deploy conversational voice AI at scale across business operations. The collaboration combines DXC’s enterprise transformation expertise with ElevenLabs’ advanced voice AI capabilities to enable intelligent customer interactions, automate workflows, and improve operational efficiency. The partnership reflects the increasing adoption of voice-enabled AI across enterprise environments.

In Cloud Computing & Mobility news this week…

Veeam Debuts Data Cloud Vault Archive to Cut Cold Storage Costs
Veeam has introduced Data Cloud Vault Archive, a new solution designed to reduce long-term cloud storage costs while maintaining secure backup and recovery capabilities. The offering enables organizations to archive infrequently accessed data more efficiently without compromising resilience or compliance. As enterprise data volumes continue to grow, cost-effective storage strategies are becoming increasingly important.

In Artificial Intelligence news this week…

Cognizant and Anthropic Expand AI Partnership to Bridge the Enterprise Absorption Gap
Cognizant and Anthropic have expanded their partnership to help enterprises accelerate the adoption of generative AI while overcoming implementation challenges. The collaboration focuses on enabling organizations to integrate AI into business processes through governance, responsible deployment, and scalable transformation strategies. The initiative highlights the growing need to bridge the gap between AI innovation and enterprise execution.

In Quantum Computing news this week…

IBM and Qedma Demonstrate Quantum Advantage to Unlock Next-Gen Materials Discovery
IBM and Qedma have demonstrated a significant quantum computing milestone that could accelerate the discovery of advanced materials. By combining IBM’s quantum hardware with Qedma’s error mitigation technologies, the collaboration showcases how quantum systems can address complex scientific problems beyond the capabilities of classical computing. The achievement represents another step toward practical enterprise applications of quantum technology.

In FinTech news this week…

LTM and Cognition Partner to Reduce Financial Cyber Risk with Devin
LTM and Cognition have partnered to help financial institutions reduce cyber risk by leveraging Devin, an AI-powered software engineering agent. The collaboration aims to improve secure software development, automate security-related tasks, and strengthen resilience against emerging cyber threats. As AI becomes more deeply integrated into financial services, secure development practices are becoming a strategic priority.

In HealthTech news this week…

Wolters Kluwer Integrates Clinical Solutions with Epic for Rural Healthcare
Wolters Kluwer has integrated its clinical decision support solutions with Epic to improve healthcare delivery in rural communities. The integration provides clinicians with seamless access to evidence-based guidance within existing workflows, supporting faster and more informed care decisions. The initiative demonstrates the growing importance of interoperability in expanding access to high-quality healthcare.

In Cybersecurity news this week…

ReSecurity Integrates Native Threat Intelligence with IBM QRadar SIEM
ReSecurity has announced a native integration between its threat intelligence platform and IBM QRadar SIEM. The integration enhances security operations by providing enriched threat intelligence, improving incident detection, and enabling faster response to cyber threats. As organizations face increasingly sophisticated attacks, integrated security intelligence is becoming essential for proactive cyber defense.

Article of the Week

Smart Medical Devices Security: How Healthcare Organizations Can Protect Connected Care in 2026

The rapid adoption of connected medical devices is transforming patient care while introducing new cybersecurity challenges for healthcare providers. From infusion pumps and patient monitors to wearable health technologies, every connected device expands the potential attack surface. Healthcare organizations must implement strong device management, network segmentation, continuous monitoring, identity controls, and proactive threat detection to safeguard clinical environments. A comprehensive security strategy not only protects sensitive patient data but also ensures operational continuity and builds trust in the future of connected healthcare.

The post ITDigest’s Weekly News Roundup Featuring DXC, Veeam, Cognizant, Anthropic, IBM, LTM, Wolters Kluwer, and ReSecurity appeared first on ITDigest.

This offering seeks to meet the growing need to deal with an increasing number of autonomous AI applications deployed in various departments of corporations without coordination and supervision. The phenomenon is termed “agentic sprawl” and involves a number of risks for organizations because it can lead to a breach of data privacy, regulatory fines, and unplanned IT infrastructure costs.

Mitigating Risk in an Era of Autonomous AI Sprawl

Although enterprise software providers include proprietary AI functionality in their applications more often nowadays, it remains challenging for companies to impose consistent security policies across multi-vendor infrastructures. In order to manage the agentic sprawl, Rimini Govern for AI creates an independent management layer controlling the activity of AI agents on various platforms, including SAP, Oracle, and Salesforce.

Also Read: Resecurity Integrates Native Threat Intelligence with IBM QRadar SIEM

The service provides enterprise technology leaders with four primary operational safeguards:

Centralized Policy Enforcement: Manages user permissions, data access boundaries, and regulatory compliance protocols from a single dashboard.

Continuous Security and Privacy Guardrails: Shields sensitive corporate data from improper exposure, prevents unauthorized tool usage, and mitigates prompt injection risks.

Unified Auditability: Logs agent decision-making steps, tool calls, and data transactions to maintain compliance-ready records for external regulators.

Cost and Resource Optimization: Sets usage thresholds and monitors API consumption across underlying language models to eliminate unexpected cloud expenditure.

“Enterprises are deploying AI agents at an incredible pace, but without proper governance, this rapid adoption creates significant security, compliance, and financial risks. Rimini Govern for AI gives organizations the visibility and control they need to safely scale AI initiatives while protecting their enterprise data and technology investments.” Seth Ravin, Chairman and CEO of Rimini Street

Strategic Complement to the Rimini Consult Portfolio

Rimini Govern for AI expands the company’s broader consulting and managed services ecosystem. Designed to integrate seamlessly with existing enterprise systems, the solution allows organizations to adopt emerging agentic workflows without undergoing disruptive, capital-intensive platform migrations.

By establishing clear operational boundaries for autonomous software, the service helps chief information officers, chief security officers, and risk directors leverage artificial intelligence while maintaining strict operational control.

The post Rimini Street Launches Rimini Govern for AI to Secure and Control Enterprise AI Agents appeared first on ITDigest.

To break through this interface bottleneck and bring natural, real-time voice automation directly into mission-critical corporate operations, global IT services giant DXC Technology announced a strategic partnership with audio AI leader ElevenLabs.

As part of the alliance, DXC participated in ElevenLabs’ $500 million Series D funding round which valued the voice synthesis pioneer at approximately $11 billion and committed to embedding advanced voice AI capabilities across its global enterprise operations and client solutions. For the Enterprise IT Services, Customer Experience (CX) Technology, and Voice AI Automation industry, this launch marks a permanent shift: moving conversational voice past consumer smart speakers and establishing natural, multilingual voice agents as a core operational standard for global enterprises.

Also Read: Cognizant and Anthropic Expand AI Partnership to Bridge the Enterprise Absorption Gap

Technical Performance: Embedding Voice AI into Mission-Critical Workflows

DXC-ElevenLabs collaboration aims at technical aspect of the deployment of real-time low-latency, expressive, and contextually aware audio models directly into the heart of enterprise software. DXC isn’t taking a ‘voice first’ external approach, but rather partnering with its LabX AI product incubator and AI Platforms Engine to develop solutions that will enable the coordination of audio agents in real-time over four major functional areas:

Enterprise Productivity & Digital Workforce: Introducing voice-command AI copilots and assistants to enhance the efficiency of the IT support desk, enable the support of the internal service desk, and train employees through conversational learning.

Customer Experience Transformation: Using human voices in enterprise contact centers to provide multilingual, multitalented conversations that support the customer on different languages while the customer is on the phone with the agent, and understand what he is talking about, without having to ask the customer what he wants.

Industrial-Specific Service Delivery: The collaboration enables integration of industry-specific voice workflows into DXC’s vertical offerings covering the healthcare auto insurance, and public sector industries.

Application Modernization Engine: Combining ElevenLabs’ audio synthesis models with DXC’s platform orchestration stack to build custom, AI-native voice applications for global clients.

Transforming the IT Services and Customer Experience Industry

The alignment of a major global IT systems integrator with an $11 billion voice AI specialist triggers significant shifts across the IT consulting and contact center software landscape.

The Obsolescence of Legacy IVR Systems
For decades, contact centers and internal IT helpdesks relied on static, rule-based Interactive Voice Response (IVR) systems. These traditional systems forced callers through tedious key-press menus, resulting in high call-abandonment rates and prolonged resolution times.

DXC’s integration of ElevenLabs‘ conversational voice models highlights the obsolescence of legacy phone trees. As voice AI agents gain the ability to grasp subtle intent, process context, and respond with human-like latency, the enterprise standard is shifting permanently toward fluid, conversational voice interactions.

Redefining Vendor Value from “Model Access” to “Workflow Orchestration”
Historically, enterprise technology buyers evaluated voice software primarily on voice clarity or text-to-speech accuracy.

However, in complex corporate environments, a voice model is only as effective as its integration into backend enterprise resource planning (ERP), CRM, and service management databases. By connecting ElevenLabs’ voice engine directly into DXC’s managed infrastructure and application platforms, the partnership demonstrates that the primary competitive moat in enterprise AI has moved from raw model generation to secure, enterprise-grade workflow orchestration.

Broad Operational Impact on Enterprise Businesses

For multinational corporations and public sector institutions managing large distributed workforces, deploying governed voice AI across daily operations provides immediate financial and operational advantages.

Insulating Operating Margins Against Escalating Support Costs
Managing internal IT helpdesks and external customer support centers across global teams introduces significant overhead. When human service agents spend time answering repetitive password reset requests or navigating basic account lookups, labor costs escalate while ticket backlogs grow. Automating routine service interactions with natural voice AI agents allows enterprises to handle higher support volumes without linearly increasing operational headcount.

Unlocking Organizational Efficiency Through Voice-First Workflows
Navigating complex software interfaces often creates friction for field technicians, frontline healthcare staff, and customer support representatives.

Shifting routine data entry, ticket logging, and knowledge searches to natural voice commands recovers substantial employee bandwidth. Workers can interact hands-free with backend software systems, enabling faster task execution and converting static software estates into dynamic, voice-enabled engines of enterprise productivity.

The post DXC and ElevenLabs Partner to Scale Conversational Voice AI Across Enterprise Infrastructure appeared first on ITDigest.

The release arrives as generative AI coding tools enable non-technical employees to develop custom software applications in minutes. However, this sudden surge in decentralized development often termed “vibe-coding” frequently occurs outside traditional IT oversight, exposing organizations to shadow AI, data leaks, and compliance gaps. A recent IBM study revealed that 77% of CxOs report AI adoption is already outpacing their current enterprise governance capabilities.

“AI has made creating software almost effortless. The hard part isn’t building anymore, it’s connecting that software to your systems, knowing what’s running, whether you can trust it, and who’s responsible for it. We saw that challenge emerging again and again with customers and started referring to it as ‘Wild Code.’ Once we understood the problem, it became obvious that simply bolting AI onto our existing product wasn’t the answer”, said Eoin Hinchy, Tines co-founder and CEO. “We built Tines 3B because we believe enterprises need an environment designed specifically to build, run and govern AI-generated workflows, applications and agents.”

Also Read: Harness Launches Agent DLC for AI Agent Development Lifecycle Management

End-to-End Governance for Decentralized AI Development

Tines 3B resolves technical debt and security visibility gaps by serving as a central control plane for all organizational apps, autonomous agents, and integrations. The system accommodates workflows constructed natively within Tines or built through third-party coding assistants, providing IT and security teams with full operational oversight.

Key operational capabilities of the Tines 3B platform include:

Natural Language Construction: Allows users to describe functional requirements in natural language. Tines 3B automatically generates the workflow while restricting access strictly to pre-authorized enterprise tools and data sources.

Isolated Execution & Self-Healing: Every workflow step executes inside an ephemeral, completely isolated environment that disappears upon completion, preventing cross-contamination between processes. Built-in self-healing mechanisms automatically resolve data inconsistencies to ensure continuous operation.

Unified Observability & Control: Centralizes monitoring across every active application and agent, providing administrative logging, credential protection, and strict access management.

“For years, Tines has been a trusted tool for our IT team and 3B is an exciting step forward,” said Emanuele Sparvoli, Senior Director of IT at Fin, formerly known as Intercom. “It provides an environment where employees across our organization can build their own workflows, while our IT team retains the control and governance needed to enable innovation at scale.

“Like many IT teams, we think carefully about the governance challenges that come with AI security risks, rising costs and shadow AI. 3B’s governance and monitoring capabilities, including strong credential protection and access controls, were central to our decision to deploy it. We’re a few weeks into our rollout and already see 3B becoming a critical part of how teams build at Fin.”

The post Tines Unveils 3B to Secure and Govern Enterprise AI Workflows appeared first on ITDigest.

To systematically solve this integration bottleneck, global technology services giant Cognizant announced a significantly expanded strategic partnership with AI research lab Anthropic.

As a newly designated Global Premier Partner in the Claude Partner Network, Cognizant is embedding Anthropic’s Claude model family directly into its own proprietary software engineering and IT operations platforms. Supported by a massive workforce reskilling program, the alliance establishes a production-grade blueprint for deploying AI across complex, highly regulated global enterprises.

For the IT Services, Technology Consulting, and Software Engineering Systems Integration industry, this milestone marks a permanent shift: moving enterprise AI past high-level advisory slides and establishing embedded, agentic execution as the primary benchmark for corporate IT services.

Also Read: Mastercard Expands Virtual Card Platform to Accelerate Embedded B2B Payments and Risk Security

Technical Architecture: Deep Platform Embedding and Frontier Workforce Scaling

The core architectural breakthrough behind the Cognizant-Anthropic expansion is the native integration of Claude into Cognizant’s core engineering fabric. Rather than treating AI as an external chatbot layer, Cognizant is embedding Claude Code directly into its full-stack engineering platform, Flowsource, specifically within its Spec-Driven Development module.

Under this setup, Flowsource directs Claude Code using project specifications, coding standards, and architectural blueprints, automatically evaluating generated code before it enters production pipelines.

The joint initiative focuses on four key operational pillars:

Embedded Platform Intelligence: Integrates Claude across Cognizant’s proprietary suite, including Flowsource, Neuro® AI Engineering, and Neuro® IT Ops, enabling autonomous agents to assist in software construction, testing, and infrastructure management.

Frontier Certified Workforce Model: Scales specialized technical talent by credentialing 5,000 Frontier Certified Engineers and 10,000 Frontier Business Operators—as part of a broader pipeline reaching 40,000 credentialed professionals. Over 30,000 Cognizant associates have already completed Claude training.

Proven Production Impact: Demonstrates real-world enterprise deployment, including cutting biopharmaceutical contract review times by up to 40% (with extraction accuracy above 88%), delivering a global manufacturing CX portal in six months, and saving insurance underwriters roughly eight hours per week in account research.

Codebase Analysis at Scale: Deploys Claude’s extended context window across complex legacy software, such as analyzing Travelport’s global codebases to surface embedded business logic during modernizations.

Transforming the IT Services and Systems Integration Industry

The deep integration of a leading foundation model into a multi-billion-dollar technology consulting infrastructure triggers fundamental operational shifts across the global IT services sector.

The Obsolescence of Passive “Strategy-First” Consulting
For decades, global IT consultancies extracted high profit margins by billing clients for extensive strategy decks, vendor assessments, and multi-month roadmap audits.

The Cognizant–Anthropic announcement accelerates the decline of pure advisory consulting. When corporate leaders demand rapid returns on AI investments, paying for static strategy documents becomes an unnecessary liability. The IT services industry is entering an era where vendors are judged strictly on “AI Builder” capabilities—their ability to write, govern, and deploy working code inside live enterprise environments.

Shifting Vendor Metrics from “Labor Headcount” to “Agentic Velocity”
Historically, IT services firms grew revenues by scaling billable human headcount—deploying armies of software engineers for routine maintenance and application management.

By embedding autonomous digital workers and Claude Code natively into software delivery platforms, Cognizant redefines the economic model of software engineering. Competitive advantages will no longer belong to IT firms with the largest off-shore labor pools, but to those that combine deep industry domain context with certified, model-aligned engineering platforms that deliver software outcomes in days rather than months.

Broad Operational Impact on Businesses Operating in the Sector

For enterprise businesses and IT service providers seeking to maintain a competitive advantage, adapting to a model-embedded engineering standard yields clear commercial benefits.

Insulating Corporate Treasuries Against Failed AI Deployments
When enterprise organizations attempt to build custom AI pipelines using generic IT providers or un-certified engineering teams, projects routinely stall in proof-of-concept limbo. Incompatible data structures and unverified outputs lead to blown budgets and missed market windows. Partnering with certified AI builders ensures that foundational architectures are built securely from day one, insulating corporate budgets from costly technical rework.

Reclaiming Engineering Capacity for Strategic Product Growth
Corporate IT departments spend vast amounts of bandwidth manually maintaining legacy codebases, reviewing vendor contracts, and troubleshooting system integrations. Offloading these routine tasks onto governed, model-integrated platforms restores vital organizational bandwidth. Software engineers and business operations leads are liberated from routine maintenance, enabling them to focus on core strategic priorities—such as developing novel customer experiences, optimizing supply chain logistics, and driving top-line revenue growth.

The post Cognizant and Anthropic Expand AI Partnership to Bridge the Enterprise Absorption Gap appeared first on ITDigest.

The upgrade marks a shift in how Onspring’s AI works, now allowing administrators to define rules that prompt agent action. The assistant lives on every screen, enabling connections across workflows to make contextualized decisions and providing answers from every record and application in the GRC program.

Onspring’s 2026 GRC Benchmarking Report found that GRC teams see the clearest near-term value for AI in reducing repetitive administrative work. At the same time, the report showed that broader adoption is being shaped by trust concerns, fragmented workflows and uneven proof of value. Onspring’s Agentic AI eliminates this fragmentation by extending AI across the platform while keeping governance at the forefront of every action.

“We understand that there is a valid concern in letting AI take action in GRC workflows,” said Ryan Lougheed, Vice President of Platform at Onspring. “This next phase of Onspring AI was built to answer that concern directly. Administrators define the rules, teams decide where automation belongs and every action stays visible and auditable inside the platform.”

Also Read: Progress Software to Acquire Domo’s AI and Data Platform Business 

Onspring AI supports GRC use cases across search, analysis and configuration. Powered by Anthropic’s Claude, these capabilities are designed to help teams turn platform-wide intelligence into governed action.

• From Repetitive Admin to Autonomous Action: 70% of GRC practitioners say simplifying repeatable administrative work is AI’s biggest opportunity. Onspring AI reviews documentation the instant it’s attached, without prompting, surfacing control gaps or non-conforming policy documents.
• An AI Teammate: Documentation collection and review consume nearly a third of a practitioner’s week. Onspring AI acts as a tireless teammate, auto-generating third-party follow-ups and reviewing policy documents against organizational standards, reducing workflow from days to minutes.
• One Question, Every Record: With 44% of GRC programs still in the experimental AI phase, siloed data continues to limit progress. Onspring AI empowers teams to pull enterprise-wide risk-exposure analysis across audits, assessments and incident logs at once with a single conversation.
• Governed AI, Not Rogue AI: Losing AI control is top leadership fear. Teams can build vetted prompts and configurations once in Onspring, then deploy them across environments to keep AI consistent, controlled and scalable.

“From our research, we have found that GRC teams see the potential for AI in their space to reduce repetitive administrative tasks,” added Lougheed. “Onspring AI helps teams build a routine of governed action, with agents taking over the mundane tasks to allow human touch on judgment calls and strategic decision-making.”

Source: PRNewswire

The post Onspring Launches the Next Wave of AI Innovation with Agentic GRC appeared first on ITDigest.

The acquisition aligns with Progress’ strategy to deliver the context and control for AI so customers can achieve their business goals with confidence. Domo’s agentic platform for the intelligent enterprise complements and significantly broadens Progress’ data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide.

“Effective AI starts with accurate, trusted data and content to provide the context for accurate and verifiable outcomes,” said Yogesh Gupta, CEO of Progress Software. “Domo is a leading AI and data platform that enables businesses to access, integrate and leverage their data at scale. Domo’s product capabilities, coupled with their team’s expertise in cloud architectures and analytics, are highly complementary to our expanding Progress data platform capabilities that significantly improve the security, governance and cost of our customers’ AI initiatives.”

Also Read: Signeasy Expands Beyond eSignatures to Launch Intelligent Contract Management for Growing Businesses

Domo will add a customer base of over 2,400 businesses, as well as a global and strategic ecosystem of cloud data warehouse technology partnerships.

“We have built Domo around the simple idea that trusted data should help people make better decisions and take action,” said Josh James, founder and CEO of Domo. “The addition of our product capabilities to the Progress data platform will give customers a stronger foundation for building AI that understands their business, works from governed data and can be trusted to support meaningful decisions.”

The proposed acquisition of Domo’s AI and data platform business is another example of the continued execution of Progress’ Total Growth Strategy. Progress continues to maintain financial discipline while seeking to acquire strong businesses with products that complement its existing AI solutions portfolio, include a robust customer base with strong retention rates and solid recurring revenue, and align with its company culture.

Source: GlobeNewswire

The post Progress Software to Acquire Domo’s AI and Data Platform Business appeared first on ITDigest.