In Hardware and Network news this week…

AWS Optimizes Network Firewall Defaults to Eliminate Silent TCP Connection Drops
AWS has updated the default behavior of its Network Firewall to eliminate silent TCP connection drops, improving application reliability and network performance. The enhancement provides more predictable traffic handling while reducing connectivity issues for enterprise workloads. The update reinforces AWS’s focus on strengthening cloud networking resilience through continuous infrastructure improvements.

In Artificial Intelligence news this week…

Tavant Platform Launches to Accelerate Open Agentic Software Engineering
Tavant has introduced its new platform to accelerate open agentic software engineering by enabling AI-powered development workflows. The platform helps engineering teams automate coding, testing, and collaboration processes while supporting more intelligent software delivery. The launch reflects the industry’s growing shift toward AI-assisted software engineering.

In Cloud Computing & Mobility news this week…

Cloudflare Teams with Browsers to Boost Online Privacy
Cloudflare is collaborating with browser providers to strengthen online privacy through enhanced protections for internet users. The initiative aims to improve privacy standards while reducing tracking and increasing transparency across web interactions. As privacy regulations continue to evolve, collaborative approaches are becoming increasingly important for the modern internet.

In Enterprise AI news this week…

Zensar Launches ZenseAI AgentMesh to Drive Scalable Enterprise AI Automation
Zensar has launched ZenseAI AgentMesh, a platform designed to help enterprises orchestrate AI agents across business functions. The solution enables scalable automation, intelligent decision-making, and seamless integration with enterprise workflows. It highlights the growing adoption of agentic AI architectures across large organizations.

In Quantum Computing news this week…

IQM Achieves Milestone in Quantum Error Correction Enabling Fault-Tolerant Computing
IQM has achieved a significant breakthrough in quantum error correction, bringing the industry closer to fault-tolerant quantum computing. The advancement improves the reliability and stability of quantum systems, addressing one of the biggest barriers to commercial quantum applications. The milestone marks another step toward practical, enterprise-ready quantum computing.

In FinTech news this week…

Lili Launches MCP Server to Bring AI-Powered Banking Insights to Accountants
Lili has introduced its MCP Server to provide accountants with AI-powered banking insights and financial intelligence. The platform enables professionals to access contextual financial data, automate analysis, and improve decision-making. This reflects the increasing integration of AI into financial management and accounting workflows.

In HealthTech news this week…

Innovaccer and AWS Launch Healthcare Alliance to Advance Clinical AI Autonomy
Innovaccer and AWS have formed a strategic alliance to accelerate the adoption of autonomous AI capabilities in healthcare. The collaboration focuses on improving clinical workflows, enhancing patient care, and enabling healthcare organizations to leverage AI more effectively. The partnership demonstrates the growing role of cloud-powered AI in modern healthcare delivery.

In Cybersecurity news this week…

F5 Unveils Comprehensive AI Security Platform to Mitigate Enterprise AI Risk and Eliminate Shadow Deployments
F5 has launched a comprehensive AI security platform designed to help enterprises secure AI applications and eliminate unauthorized AI deployments. The solution provides centralized governance, visibility, and risk management capabilities to protect AI workloads across hybrid environments. As AI adoption accelerates, organizations are prioritizing security frameworks that provide end-to-end oversight.

Article of the Week

Strategic Steps for a Successful Digital Transformation Roadmap: A Practical Guide for Enterprise Leaders

Digital transformation requires more than adopting new technologies—it demands a clear strategic roadmap aligned with business objectives. Successful initiatives focus on modernizing infrastructure, empowering employees, improving customer experiences, and establishing governance frameworks that support continuous innovation. By combining technology investments with organizational change management, enterprises can build resilient, agile operations that remain competitive in an increasingly digital economy.

The post ITDigest’s Weekly News Roundup Featuring AWS, Tavant, Cloudflare, Zensar, IQM, Lili, Innovaccer, F5 and more appeared first on ITDigest.

The joint platform addresses a critical structural gap in the banking sector, where regional and community institutions face identical adversarial AI cyber threats as global Tier-1 banks but operate with restricted specialized security resources. By automating the high-throughput ingestion and analysis of telemetry data, the system bypasses traditional, manual log-review bottlenecks to flag emerging vulnerabilities across hybrid cloud architectures and on-premises physical legacy infrastructure. Simultaneously, the rollout deploys Google Cloud’s Gemini Enterprise Agent Platform to optimize routine, back-office financial tasks, with early adopter institutions reporting administrative time savings of up to 70% without compromising human governance boundaries.

Also Read: Hitachi Partners with OpenAI to Accelerate Enterprise AI Modernization and Cybersecurity 

Highlighting how automated data visibility mitigates enterprise-scale risk before exploitation occurs, Greg Adelson, President and CEO of Jack Henry, stated: “Combining our financial services expertise with Google Cloud’s agentic defense capabilities enables us to help financial institutions proactively strengthen their defense against increasingly sophisticated threats. Security has always been foundational to our platform, and this collaboration extends those capabilities further. By automating the analysis of large volumes of telemetry data, we can identify potential threats earlier and enable faster, coordinated responses before vulnerabilities are exploited.”

Underscoring the operational paradigm shift toward secure, autonomous agent deployment within strictly regulated corporate ecosystems, Shanon McLachlan, Chief Operating Officer at Jack Henry, concluded: “We are utilizing AI in a bold and balanced way, unlocking its potential while maintaining the strong security, governance, and human oversight required in financial services. We are prioritizing practical, high-impact use cases – from strengthening cyber resilience to automating back-office processes – to enable institutions to operate more efficiently, scale their teams, and continue delivering the high-touch service that sets them apart.”

Read More: Jack Henry and Google Cloud Expand Collaboration to Deliver AI-Driven Security for Banks and Credit Unions

The post Jack Henry Leverages Google Cloud AI to Bolster Cyber Defenses for Financial Institutions appeared first on ITDigest.

Through this partnership, Microsoft will offer Commvault’s extensive AI and cyber resilience technologies as a native ISV service on Microsoft Azure. This will give Azure customers the ability to discover, provision, and seamlessly integrate Commvault’s trusted resilience capabilities directly from the Azure cloud platform. These capabilities can be used to help enterprises rapidly recover and restore data, applications, and identities if systems are compromised by attacks, outages, or human error. This collaboration will provide a unified experience across procurement, onboarding, and operations, eliminating the need for separate infrastructure, manual integrations, or external tooling for Commvault customers.

“For over 25 years, we’ve partnered with Microsoft and now we’re taking that collaboration to the next level,” said Sanjay Mirchandani, President and CEO, Commvault. “Many of our customers rely on Microsoft Azure to scale their business in the cloud, use AI, optimize operations, and bring ideas to life. With this joint commitment, we can also make best-in-class resilience plug-and-play for Microsoft customers.”

Also Read: AppViewX Launches Agent Identity Security to Govern Agents for the AI and Quantum Era 

Girish Bablani, President of Azure Core at Microsoft, said, “Customers rely on Azure as a resilient foundation for their cloud and AI workloads. Supporting Commvault natively gives them more choice in how they protect and recover their data, with a more seamless experience inside Azure.”

Banks, retailers, healthcare providers, and other large enterprises are under mounting pressure to simultaneously modernize infrastructure, manage escalating cyber risks, and support AI-driven transformation. Boards and executive teams are increasingly prioritizing resilience as a core requirement for digital and AI initiatives. This strategic partnership and native service on Azure are designed to address these needs and deliver key benefits to joint customers:

• Enable resilient AI adoption: Deliver integrated recovery and resilience capabilities that are well-suited for AI-driven workflows on Azure, helping organizations innovate faster while maintaining data security, trust, and recoverability.
• Deliver a seamless native Azure experience: With Commvault native on the Azure cloud platform, customers will be able to deploy and manage Commvault’s resilience capabilities alongside their existing Azure services through a consistent, integrated experience.
• Maximize Azure investments: Customers can purchase Commvault Cloud through the Microsoft Marketplace and apply usage toward their Microsoft Azure Consumption Commitment (MACC), simplifying procurement and aligning resilience investments with broader cloud spend.

Commvault and Microsoft will collaborate on joint go-to-market initiatives, including co-selling, solution development, and integrated sales motions designed to accelerate cloud journeys and customer adoption of cyber resilience on Azure.

Source: PRNewswire

The post Commvault Signs Multi-Year Strategic Partnership with Microsoft appeared first on ITDigest.

Traditional cybercrime investigations have a tax: hours of manual pivot work that experienced analysts run by instinct and junior analysts struggle to replicate. SpyCloud Research Agent eliminates it. Security practitioners CTI analysts, SOC teams, fraud investigators, and IR leads can now give the agent a subject, a hypothesis, or a batch of assets, and it plans the investigation, sequences the pivots, and returns finished intelligence in the time it used to take to open a new tab.

Research Agent operates directly on SpyCloud’s recaptured identity intelligence more than 1 trillion assets from infostealer malware logs, phishing kits, combolists, and breaches and triggers holistic identity correlation across fragmented signals automatically, in every interaction. The tradecraft encoded in Research Agent comes from SpyCloud’s decades of elite in-house cybercrime investigators, including former Federal agents and intelligence operatives.

“There’s a real and valid concern in this industry about AI tools that return confident-sounding answers with nothing behind them,” said Damon Fleury, SpyCloud’s Chief Product Officer. “We built SpyCloud Research Agent to be the opposite of that. Every finding is grounded in verified recaptured intelligence specific records, traceable provenance, reasoning you can audit. This agent combines our proprietary identity correlation, decades of veteran tradecraft, and the enhanced analytics and linguistic capabilities of the leading edge frontier AI models. Analysts aren’t just getting faster answers, they’re getting much more complete ones.”

Also Read: OPAQUE Extends the Agent Governance Toolkit with Verifiable Identity and First Ever Verifiably Governed and Secure MCP 

How SpyCloud Research Agent Works

SpyCloud Research Agent operates across three layers on every investigation.

1. Investigative context: It starts with SpyCloud’s data, automatically connecting related identity artifacts, infected machines, credentials, domains, and exposure data to offer up-front context
2. Expert-level reasoning: Before retrieving a single record, it plans: reasoning about the user’s goals, deciding which pivots are worth running, and sequencing the investigation the way a senior analyst would.
3. Analyst-ready outputs: It returns findings in whatever format the investigation requires – a narrative summary, a table, a timeline, or prioritized escalation recommendations.

Unlike tools that return data and leave interpretation to the analyst, SpyCloud Research Agent thinks through the investigation before it responds. The agent accepts natural-language prompts or mixed batches of assets – emails, domains, IPs, usernames, machine identifiers – and correlates across all of them simultaneously, returning a picture of the scenario rather than a series of disconnected lookups. If an input is ambiguous, it asks a clarifying question rather than guessing. Analysts can ask it to explain its reasoning and cite the specific records behind any finding, grounding every conclusion in verified exposure evidence.

Throughout the analysis, the Research Agent loads all analyzed data directly into the console interface. The investigator can see all the data being analyzed, allowing for the provided analysis to be easily reviewed and confirmed.

What SpyCloud Research Agent Delivers

• Skip the query syntax, describe the investigation – Submit a threat actor alias, a suspicious domain, or a batch of compromised emails in plain language along with your high-level question when you need narrative interpretation. Research Agent interprets intent and launches the investigation.
• Empower every analyst to operate at a senior level – Research Agent knows which pivots matter for which threat types, what patterns signal criminal activity, and how to distinguish meaningful connections from noise – because SpyCloud’s decades of elite investigative tradecraft is encoded in every response. All analysts run the same investigation quality as your most experienced ones.
• Get the full identity picture, not a partial one – Every Research Agent interaction automatically triggers holistic identity matching, surfacing personal accounts, old usernames, device records, and criminal infrastructure ties without a separate pivot step. Typical result: 8× more identity records, 14× more plaintext passwords, 5× more linked emails, and 2× more malware infections versus exact-match queries alone.
• Investigate a threat scenario, not a list of lookups – Submit a collection of assets at once and the Research Agent treats them as a connected threat scenario, correlating across all inputs simultaneously.
• Evidence behind every finding – Every conclusion traces directly to the specific recaptured records that support it, so analysts can validate findings, brief stakeholders, and act with confidence.
• An investigative partner, not a search tool – Research Agent maintains context across the full session, so analysts can refine questions, pursue new leads, and build on prior findings without starting over.

“For years there has been a huge gap in cybercrime investigations the time and expertise required to turn seemingly disparate data into answers,” said Jason Lancaster, SpyCloud’s Chief Investigations Officer. “Criminals fragment their identities deliberately, counting on tools to treat every artifact in isolation. SpyCloud Research Agent closes that gap sequencing the pivots a seasoned investigator would run, applying tradecraft developed over decades of real cases, and returning finished intelligence before the investigation loses momentum.

The Evolution of SpyCloud Investigations

SpyCloud Research Agent is the latest in a series of major enhancements to SpyCloud Cybercrime Investigations.

SpyCloud first introduced IDLink, the automated digital identity correlation engine that expanded investigation results to include identity data correlated across shared usernames, emails, passwords, and PII delivering a holistic digital profile from a single search query.

SpyCloud then added AI Insights enabling one-click generation of exportable Identity Findings Report that translates raw investigation data into finished intelligence for stakeholder delivery.

SpyCloud Research Agent completes the trilogy adding the agentic investigation layer that plans, pivots, and investigates on the analyst’s behalf.

Source: GlobeNewswire

The post SpyCloud Launches Groundbreaking Cybercrime Investigations Research Agent appeared first on ITDigest.

The coordinated product rollout represents a significant shift in how developers interact with enterprise data layers. While AI projects frequently stall because navigating rigid IT security protocols can delay accessing live production data, CData’s new ecosystem allows developers to securely tap into hundreds of enterprise platforms including Salesforce, Snowflake, NetSuite, Microsoft 365, and Workday—using standard SQL, Python workflows, the command line, and the Model Context Protocol (MCP).

“Developers have been forced to choose between moving fast and meeting the governance their company requires. That tradeoff doesn’t hold up anymore,” said Raviv Levi, Chief Product and Technology Officer at CData. “The same live, governed access that IT trusts and the business depends on should follow developers into the terminal, the Python environment, and the IDE. That’s what these releases do.”

Unlocking Managed Data Connectivity with Three New Developer Tools

CData’s new offerings directly target the data layer friction points that frequently cause enterprise AI initiatives to stumble, such as API rate limits, authentication drift, and schema changes. The launch introduces three specific developer entry points:

Connect AI Developer Edition (Free): This tier gives developers full, free access to CData’s enterprise feature set. It automatically exposes legacy APIs as standard, queryable data layers while natively managing token refreshes, pagination, and API throttling behind the scenes. It features complete MCP server support to interface out of the box with popular AI development environments and coding assistants like Claude Code, Codex, Cursor, and LangChain.

CData Connect AI Python SDK (Open Source): Built on the familiar DB-API 2.0 specification, this open-source, MIT-licensed SDK allows developers to pull live, governed corporate metrics directly into native Python workflows. Engineers can utilize familiar data-science packages like pandas and SQLAlchemy to communicate with enterprise systems without learning custom APIs.

CData CLI (Command-Line Interface): A terminal-native tool designed so coding assistants can programmatically query and scaffold connectivity without needing manual documentation review. The initial release provides robust support for CData’s JDBC and Python drivers, with ADO.NET and ODBC capabilities planned for subsequent updates.

Also Read: Kurrent Launches Capacitor to Drive Human-Agent Code Collaboration

Mitigating Token Waste and Schema Drift in Agentic AI

A key technical challenge in multi-agent configurations is managing unexpected schema drift. For example, if an operations manager creates a custom field within a CRM on Monday night, an unguided AI agent executing an automated report on Tuesday morning may generate inaccurate or corrupt data outputs due to missing context. Connect AI resolves this issue through real-time metadata discovery, pinging the target database on every query to ensure the AI model is always acting on the platform’s current state.

Furthermore, to combat the problem of “over-permissioning” in agentic setups, the software introduces Toolkits. This feature allows engineering teams to package precise data scopes into unique MCP Server URLs tailored for specific tasks. This ensures that an active AI worker only receives the exact data parameters required for its given objective, keeping security tight and preventing unexpected token drain.

“The need to accelerate development exists everywhere,” said Jerod Johnson, Director of Technology Evangelism at CData. “Product owners are asking, ‘You have an AI coding assistant, why isn’t this shipping faster?’ And people are still running into the problem — I can ship that feature, but I also have to build the connector that gets the data to it.”

All three developer-centric solutions are fully live and available for download. Engineering leads, enterprise data architects, and software developers can review setup protocols, download the open-source Python driver packages, and join the developer community by visiting the official CData Developer Center.

The post CData Software Launches Connect AI Developer Edition, Open-Source Python SDK, and CLI appeared first on ITDigest.

Global finance is rapidly shifting onto blockchain rails, with $302 billion in stablecoins, $394 billion in onchain payments volume in 2025, and $27.6 billion in tokenized financial instruments. While blockchain and stablecoin usage is growing, institutions have historically not had an easy way to operate within these systems. Allium helps institutions make sense of fragmented blockchain data by doing the heavy lifting to standardize and enrich information across more than 150 chains. Its data is trusted and cited by government agencies and leading research institutions including the Federal Reserve and Stanford.

Allium helps financial institutions use blockchain data with products like Terminal, delivering trusted analytics that have clear sourcing and methodology through dashboards, APIs, and data warehouse integrations to power trading, compliance, and product. Users can see where growth is happening, how stablecoins and tokenized assets are being used, and integrate the data into other workflows so the data doesn’t just stop at the dashboard.

Also Read: MoneyGram Becomes Tempo’s Anchor Remittance Validator in Strategic Blockchain Partnership 

Since its Series A, Allium has scaled rapidly, growing revenue more than 10x and expanding to over 150 enterprise customers across financial institutions, fintechs, and government agencies. The company has become a key partner to global payment networks, including Visa, which built its Onchain Analytics Dashboard in collaboration with Allium’s data, giving partners real-time visibility into onchain payment flows and ecosystem activity. BCG uses Allium to power stablecoin payments research and client advisory work around digital assets. Allium also provides the underlying analytics and onchain market data that BCG uses in institutional-facing reports.

“Every major financial workflow runs on a system of record,” said Ethan Chan, co-founder and CEO of Allium. “Whether it’s Bloomberg for market data, DTCC for securities settlement, or SWIFT for payment messaging, these systems underpin how global finance operates. As finance moves onchain, there’s still no shared, institutional-grade system of record, leaving institutions operating at scale without a reliable source of truth. We’re building the foundation that brings institutional-grade reliability and standardization to onchain finance.”

This shift is accelerating as AI-driven and agentic systems begin to power commerce onchain. As autonomous agents use stablecoins to make purchases, settle transactions, and move funds across blockchain networks, the need for reliable, finance-ready data infrastructure becomes even more critical.

“Onchain finance is reaching the point where infrastructure matters more than experimentation,” said David Beyer of Amplify Partners. “That’s what excites us about Allium: the company’s opportunity is expanding well beyond crypto-native customers. As stablecoins, tokenized assets, and agentic commerce move into the financial mainstream, every institution operating onchain will need data infrastructure it can trust. Allium is building the system of record this market has been missing, and we’re proud to keep partnering with the team as they define the category and enter this next phase of growth.”

“As onchain finance matures, institutions need trusted, standardized data to understand stablecoin flows and ecosystem activity at scale,” said Cuy Sheffield, Head of Crypto Labs at Visa. “Allium helps us translate complex onchain activity into accessible, reliable insights. This gives Visa greater visibility into stablecoin and broader blockchain network usage and powers a tool our clients and partners can easily use to inform their workflows.”

Source: BusinessWire

The post Allium Raises $40M Series B to Power Blockchain for Institutional Finance appeared first on ITDigest.

The announcement includes two major open-source milestones: the release of Agent Manifest, a new open standard for verifiable AI agents built on the Agent Governance Toolkit (AGT), and the launch of Confidential MCP, the first Model Context Protocol implementation that is both verifiably governed and secured through confidential computing.

Together, these technologies allow enterprises to move beyond “trust us” AI. Organizations can now verify what an AI agent is, what it is allowed to do, what it actually did, and whether governance policies were enforced throughout execution.

Three forces have made “trust us” indefensible. Today’s frontier models make it increasingly likely that enterprises will need to assume untrusted behavior inside their environments. AI agents routinely interact with sensitive data and external systems, creating new governance and security challenges. New regulations increasingly demand evidence, not assertions: proof of what ran, where it ran, and under what rules. That proof must be automated, hardware-signed, and independently verifiable. OPAQUE 3.0 answers all three.

Also Read: Aembit Extends IAM for Agentic AI to Microsoft Copilot Studio 

Apple settled this argument for consumer AI with the launch of Private Cloud Compute; “trust me” became “verify me.” OPAQUE 3.0 brings that same standard to enterprise AI. Enterprises can apply it to the AI they already run — no rewrites, no new platform required — with every AI action executed under governance enforced in hardware and producing a signed receipt that an auditor, a regulator, or a customer can check on their own, without trusting OPAQUE or the company operating the AI. It runs on the CPU-based confidential computing platforms from Intel, AMD, and NVIDIA. And, on NVIDIA Confidential Computing, the integration brings GPUs inside the Trusted Execution Environment.

OPAQUE 3.0 runs across public cloud, private cloud, and on-premises environments. OPAQUE’s approach builds on AGT, the open-source governance framework created by Imran Siddique during his time at Microsoft. Siddique recently joined OPAQUE as Chief Platform Officer and has led the development of Agent Manifest and Confidential MCP, extending AGT from governance policy definition to cryptographically verifiable enforcement.

Zero trust rebuilt network security on one rule: never trust, always verify. OPAQUE is applying the same doctrine to AI agents, with an open standard and three working pieces beneath it:

• Agent Governance Toolkit (AGT). Created by Imran Siddique and released as open source, AGT has quickly emerged as a leading framework for defining what AI agents may do, what data they may access, and what governance policies they must follow. AGT has attracted roughly 4,100 GitHub stars in its first six weeks.
• Agent Manifest. Released as open source today, Agent Manifest extends AGT by giving every AI agent provable runtime integrity. Organizations can cryptographically verify what an agent is, what resources it can access, who approved it, and which governance policies apply. An altered or unauthorized agent can no longer masquerade as an approved one.
• Confidential MCP. OPAQUE has extended AGT governance into the Model Context Protocol, creating the first verifiably governed and secure MCP implementation. Running inside OPAQUE’s confidential runtime, Confidential MCP enforces governance policies in hardware and produces independently verifiable evidence of every tool call and action performed by an agent.

The standard is open by design; how the industry verifies AI should not belong to any one vendor. The Technology Innovation Institute (TII) of the United Arab Emirates is a founding partner, anchoring the standard in sovereign-AI deployments.

The partnership also reaches past today’s threat model. OPAQUE and TII are bringing TII’s post-quantum cryptography into OPAQUE 3.0, so agent identities and signed evidence remain verifiable even against quantum-era adversaries. An audit record is only as good as the cryptography it will face decades from now: data harvested today gets decrypted by tomorrow’s quantum machines, and regulators in the UAE and beyond are already mandating post-quantum readiness for AI systems. OPAQUE will name founding coalition members at launch, and the standard and both implementations are open.

OPAQUE 3.0 is in active engagements across leading enterprises in the U.S. and abroad: major financial-services institutions, several of the world’s most valuable enterprise-software companies the platforms the Forbes Global 2000 runs on and national sovereign-AI buildouts.

“The more autonomous your AI agents become, the more your security posture has to keep pace capability without accountability is a liability,” said Aaron Fulkerson, CEO of OPAQUE. “Organizations deploying AI agents are stuck on a question existing tooling can’t answer: is this agent still governed the way I intended, and can I prove it to someone with no reason to trust me? OPAQUE 3.0 provides hardware-enforced governance and independently verifiable evidence of agent activity. That’s what we’re shipping and opening today.”

“The future of AI depends on unlocking the data organizations have never been able to touch. Most organizations sit on a corpus of data too sensitive to use and too valuable to ignore. OPAQUE is the only platform delivering hardware-attested cryptographic evidence across the full AI lifecycle — training, fine-tuning, inference, and agents with protections engineered to withstand quantum-era threats. That combination doesn’t exist anywhere else in the market today.” – Ion Stoica, Co-Founder of OPAQUE

Source: PRNewswire

The post OPAQUE Extends the Agent Governance Toolkit with Verifiable Identity and First Ever Verifiably Governed and Secure MCP appeared first on ITDigest.

“Most initial access comes from employees with the best intent making mistakes, choices for convenience and speed, or misjudgment, not malicious actors,” Berry said. “When I spoke to the [Fable] team, it was clear they understand how people actually behave within an organization and what it takes to change that behavior. It’s a psychological problem and a behavioral problem, and that’s something I’m excited to help solve.”

In his new role, Berry will support customers as they solve security challenges and opportunities around risky employee behavior and habits, while ensuring that Fable Security itself continues building a secure and effective platform.

Also Read: TrendAI Joins Anthropic’s Project Glasswing

“Jacob brings strong experience helping organizations solve complex security challenges and shares our belief that secure behavior management is one of the most critical issues for security teams to address today,” said Nicole Jiang, CEO of Fable Security. “He champions both the technical and behavioral sides of security, and will play an important role in helping our customers reduce risk and strengthen their security programs.”

Secure behavior remains one of the most critical challenges in cybersecurity today, with roughly two-thirds of successful breaches originating from human error. As attacks become more sophisticated and AI-driven, employees are increasingly targeted through highly personalized phishing, impersonation, and other social engineering-based attacks.

“I’m excited to be a part of Fable Security’s unique approach to tackling one of cybersecurity’s root challenges,” said Berry. “Security teams are under pressure to drive measurable risk reduction while keeping pace with how employees actually work today. What drew me to Fable is its fresh approach to secure behavior risk: using real-time behavioral insights and personalized interventions to help organizations build stronger security habits at scale.”

Recent cybersecurity breaches have further exposed the limits of traditional security training, which cannot keep pace with rapidly evolving threats. Fable Security helps address this gap by identifying behavioral risk in real time, using AI and data to deliver targeted interventions that drive behavior change while reducing human-driven security risks.

Source: PRNewswire

The post Fable Security Appoints Jacob Berry as Chief Information Security Officer appeared first on ITDigest.

In parallel with the launch of the platform, F5 completed its acquisition of SurePath AI, which is a professional services provider specializing in AI discovery, behavioral intent classification and unauthorized AI applications monitoring in the network centric manner. The acquisition represents a backbone of the just-launched platform, filling visibility gaps in the network layer.

Adapting to the Realities of Decentralized AI Workloads

However, contemporary enterprise-level artificial intelligence solutions scale in such a way that creates tremendous operational risk. Self-governing agents are capable of querying databases, performing tasks, and transmitting data in record speed, which often holds privileges far greater than human-operated ones. Just one data breach, prompt injection attack, or agent outside of its limits can put your proprietary data and production process at risk.

Compounding this problem is the organic rise of unsanctioned employee tools. According to data published in F5’s 2026 State of Application Strategy (SOAS) Report, an overwhelming 88% of businesses experience security or operational hurdles related to their AI workloads. Unsanctioned integrations and rogue browser tools routinely build shadow AI ecosystems completely invisible to standard perimeter defenses.

Also Read: SentinelOne Unveils AI Security Integration with Amazon Bedrock AgentCore 

To resolve this across diverse operating environments, the F5 AI Security Platform supports private clouds, hybrid environments, public clouds, and air-gapped, on-premises data centers. This multi-environment agility guarantees that regulated companies can maintain strict data residency and sovereign jurisdiction over their data assets without sacrificing security efficacy.

“Most AI security today is a wrapper around a chatbot. That is not security,” said Kunal Anand, Chief Product Officer, F5. “Enterprises run AI inside regulated networks, behind APIs, and across agents that authenticate and act on their own. The F5 AI Security Platform gives CISOs and security leaders what they have been missing: continuous control over every model, agent, and API, wherever the AI runs, delivered on the same F5 platform that has secured and delivered enterprise applications for three decades.”

Network-Based Discovery via SurePath AI

The addition of SurePath AI’s specialized technology provides a frictionless layer of visibility that maps organizational AI usage passively. By utilizing out-of-band analysis and network-level redirection, the tool uncovers shadow AI activity across corporate systems without requiring explicit application integrations. Security administrators can track Model Context Protocol (MCP) server ties, evaluate the intent behind specific data streams, and monitor agent utility calls. This dynamic telemetry is passed directly to F5’s operational units to guide systemic testing and rule enforcement.

The Four Pillars of the F5 AI Lifecycle

Rather than treating risk mitigation as a static compliance milestone, the platform implements a continuous lifecycle loops structured around four core operating pillars:

• AI Governance: Converts data privacy limits, corporate risk preferences, and regulatory mandates into programmatic walls that restrict prompts, data exposures, and agent autonomy.
• AI Discovery: Leverages the newly acquired SurePath AI engine to map out all enterprise AI deployments. The system categorizes tasks by user intent, highlighting not just active applications, but why they are transmitting data.
• AI Security Testing: Utilizes a massive industry threat database containing more than 140,000 distinct attack patterns to rigorously stress-test models via the F5 AI Red Team before they ever reach real-world deployment.
• AI Runtime Protection: deploys plain-language guardrails at the point of digital interaction. Independent evaluations indicate an engagement security efficacy of up to 98.2%, effectively halting data exfiltration, prompt injections, and rogue agent behavior.

Architectural Flexibility for an Agentic Future

The urgency for structured guardrails is accelerating as companies pivot toward autonomous systems. Data from F5’s latest SOAS report indicates that 98% of surveyed firms are structuring internal initiatives around agentic AI models. However, the sheer implementation speed of these systems is rapidly outstripping conventional enterprise governance mechanisms.

Because the F5 AI Security Platform works seamlessly across public cloud nodes, private environments, and strictly controlled physical servers, highly regulated organizations do not have to compromise on operational speed to fulfill strict legal data sovereignty mandates.

The post F5 Unveils Comprehensive AI Security Platform to Mitigate Enterprise AI Risk and Eliminate Shadow Deployments appeared first on ITDigest.

In Hardware and Network news this week…

Siemens, Databricks and FFT Unite to Scale Cloud Integration for Scalable Industrial AI
Siemens, Databricks, and FFT have joined forces to accelerate cloud integration for industrial AI deployments. The collaboration combines manufacturing expertise with cloud-native data capabilities to help organizations deploy AI solutions at scale. The initiative reflects the growing convergence of industrial automation, cloud computing, and AI.

In Business Technology news this week…

LTM Launches BlueVerse for iRun to Disrupt Traditional IT Managed Services
LTM has introduced BlueVerse for iRun, a platform designed to modernize traditional managed IT services with automation and AI-driven capabilities. The solution aims to improve service delivery, operational efficiency, and business agility. As enterprises seek more intelligent IT operations, managed service providers are increasingly integrating AI into their offerings.

In Cloud Security news this week…

CrowdStrike and AWS Expand Project QuiltWorks to Neutralize Frontier AI Infrastructure Risks
CrowdStrike and Amazon Web Services have expanded Project QuiltWorks to address emerging security risks associated with frontier AI infrastructure. The initiative enhances threat detection, governance, and protection for organizations deploying advanced AI systems. As AI infrastructure becomes more complex, proactive security measures are becoming increasingly essential.

In Artificial Intelligence news this week…

Databricks Introduces Genie One Agentic Coworker
Databricks has unveiled Genie One, an agentic AI coworker designed to assist employees with data analysis, workflow automation, and business decision-making. The solution enables users to interact with enterprise data using natural language while automating repetitive tasks. This reflects the growing adoption of AI coworkers in modern workplaces.

In Quantum Computing news this week…

HPE Expands Industry Ecosystem to Accelerate Full-Stack Hybrid Quantum Supercomputing
Hewlett Packard Enterprise has expanded its partner ecosystem to advance hybrid quantum supercomputing. By bringing together hardware, software, and research partners, the initiative aims to accelerate the development of practical quantum applications. The move underscores the industry’s growing focus on integrating quantum and classical computing environments.

In FinTech news this week…

ACI Worldwide Partners with EPI to Drive Real-Time Payments Across Europe
ACI Worldwide and EPI have partnered to accelerate the adoption of real-time payments across Europe. The collaboration aims to strengthen payment infrastructure, improve transaction speed, and support the region’s evolving digital payments ecosystem. This highlights the continued modernization of financial services through real-time payment technologies.

In HealthTech news this week…

Catalent Launches QAI to Transform Manufacturing QA
Catalent has launched QAI, an AI-powered quality assurance solution designed to modernize pharmaceutical manufacturing. The platform helps automate quality processes, improve compliance, and enhance production efficiency. This demonstrates the expanding role of AI in life sciences manufacturing and operational excellence.

In Cybersecurity news this week…

SentinelOne Unveils AI Security Integration with Amazon Bedrock AgentCore
SentinelOne has announced a new AI security integration with Amazon Bedrock AgentCore to strengthen the protection of enterprise AI applications. The integration provides enhanced monitoring, threat detection, and governance capabilities for AI-powered workloads. As enterprises deploy AI agents more broadly, securing AI infrastructure has become a strategic priority.

Article of the Week

Creating Responsible AI Development Frameworks: A Guide to Building Ethical, Transparent and Compliant AI Systems

As AI becomes embedded across enterprise operations, organizations must establish responsible development frameworks that prioritize ethics, transparency, accountability, and regulatory compliance. Effective AI governance includes clear policies for data management, model monitoring, bias mitigation, explainability, and human oversight. By adopting structured AI governance practices, enterprises can build trustworthy AI systems that foster innovation while reducing operational, legal, and reputational risks.

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