Also Read: Deloitte, Google Cloud, and Wiz Unite to Launch Agentic AI Cyber Defense Solution

This joint framework empowers security teams to proactively detect sensitive data exposure like PII or source code, identify high-risk user profiles, surface prompt injection and jailbreak patterns, and maintain an immutable, defensible record of AI interactions for official compliance auditing. Highlighting the operational shift toward unified security architectures, Rachel Jin, Chief Platform and Business Officer, Head of TrendAI, stated: “AI is now part of daily work. Security leaders want to secure and govern AI technology as part of their overall attack surface—not as siloed IT. This integration gives them exactly that: centralized visibility, detection, and risk mitigation for Claude usage, within existing security operations. It reflects TrendAI’s broader approach: giving organizations visibility of and protection for the entire attack surface, including AI, from a single platform. That platform’s foundation is TrendAI’s global threat intelligence research, coming from a team that is widely recognized among the world’s foremost authorities in vulnerability discovery and adversarial tracking.”

Read More: TrendAI Integrates Claude Compliance API Into TrendAI Vision One

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As organizations rapidly deploy Claude across teams and workflows, security and compliance teams have faced a fundamental blind spot: they have had no way to see who holds access to Claude, what level of privilege they carry, which API keys exist, or what resources and projects are being shared. Until now, what happened inside those AI interactions has remained largely invisible to the identity and security teams responsible for managing access risk.

The Linx integration based on the new Claude compliance API, powered by Anthropic, changes that. Claude governance lives natively inside the Linx platform, alongside every other application in the enterprise. For security leaders, that means Claude is no longer an ungoverned blind spot in the identity estate: it carries the same visibility, audit trail, and access controls as every other application their teams are responsible for securing.

Also Read: Check Point Advances Secure AI Transformation for MSPs with New Platform, AI Security Capabilities, and Unified Security Bundles 

“Claude has become a critical enterprise application almost overnight, but without the identity governance controls that organizations apply to everything else in their stack,” said Israel Duanis, CEO and Co-Founder at Linx. “You can see who has access to Salesforce. You can see who holds admin keys in your cloud infrastructure. You should be able to see the same for Claude. This integration makes that possible, and it does it the right way: not as a standalone tool, but as part of the same identity fabric our customers already use to govern every identity in their environment.”

Governing Claude

Once connected, Claude becomes a fully governed application in Linx. Identity teams can now:

See accounts, roles, and permissions in Claude — A complete view of all accounts provisioned in Claude, the roles assigned to them, and the groups they belong to. Teams can filter directly to administrative roles and drill into the specific permissions each role carries, making it easy to identify over-provisioned access at a glance.

Review and certify access with Linx AI-powered recommendations — Launch access certification campaigns scoped specifically to Claude, reviewing who has access and what entitlements they hold. Linx surfaces recommendations powered by Anthropic’s own models to help reviewers decide whether each access grant should be approved or denied, accelerating certification cycles without sacrificing rigor.

Identify and associate API keys — Full visibility into API keys created within Claude, including when each key was created and associated metadata, giving security teams the audit trail they need to detect stale or unmanaged keys.

Govern projects and resources — Monitorthe specific projects and shared resources within Claude, with an access graph for each project that maps exactly how access is provisioned: which roles exist, which users hold them, and how they connect.

“What makes this integration stand out is that access review recommendations are powered by Anthropic’s own models. You’re not just getting visibility into who has access to Claude you’re getting intelligent guidance on whether that access is appropriate,” said Niv Goldenberg, CPO & Co-Founder at Linx. “Combining Linx’s identity governance with Anthropic’s AI to make faster, smarter certification decisions is exactly the kind of integration that moves enterprises from checkbox compliance to continuous, intelligent governance.”

Source: PRNewswire

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Addressing this critical protection gap, Comcast Business announced the nationwide deployment of SecurityEdge Preferred. Moving beyond standard application-layer security, the platform embeds enterprise-grade, AI-powered threat detection directly into the broadband connectivity infrastructure. By handling security at the core network level, the launch aims to rewrite the playbook for the Information Technology (IT) and Managed Services industry, altering how security is packaged, sold, and maintained for the commercial market.

The News: Architectural Defenses at the Network Edge

Building separate antivirus software or software-defined firewalls that users must manually install and update on individual devices is standard practice. The bottleneck with that traditional approach is implementation friction; if an employee forgets to update their software or connects an unprotected tablet to the company Wi-Fi, the entire internal perimeter is immediately compromised.

The net-new capability introduced by Comcast Business bypasses device-level management entirely. Because SecurityEdge Preferred is built directly into the Comcast Business network infrastructure, it acts as an inline automated gateway. The system intercepts malicious code at the edge—the exact microsecond traffic attempts to enter or exit the business perimeter.

Also Read: GitLab and Google Cloud Bring Data Sovereignty to Agentic DevSecOps

Functioning directly through the default Comcast Business Internet routers, the solution makes use of two-way, live scanning to offer a wide sphere of protection against various vectors:

Automatically Preventing Threats: Makes use of the AI-powered threat database that continuously updates itself to detect, locate, and prevent malware ransomware phishing scams, and botnet communications even before they show up on the employee’s display.

Geographic and IP Filtering: Performs deep packet inspection to automatically reject any traffic coming from known dangerous IP address ranges and limit communication to high-risk geographical areas.

Application-Level Constraints: Keeps track of internal software activities at a code level and stops unauthorized or harmful background applications from carrying out data exfiltration commands.

Unified Dashboard Analytics: Entrepreneurs see their defensive perimeters in real-time through a single consolidated interface that, during the test period, prevented over 230 active cyber threats per second on average from entering the network.

Transforming the IT and Managed Services Market

The integration of advanced security directly into baseline internet transport layers signals a major evolutionary shift for telecom operators, IT vendors, and managed service providers.

The Evolution of the Internet Utility Model
For years, telecommunications and network providers operated primarily as “dumb pipes,” competing almost entirely on bandwidth speeds, download capacities, and price-per-gigabit metrics. As broadband margins compress, the IT and networking industries must pivot toward value-added, software-defined services. Comcast Business’s deployment proves that connectivity and cybersecurity are becoming a single, indivisible commodity. Competing telecom giants and regional internet service providers (ISPs) will face heavy market pressure to co-develop built-in network security layers, shifting the consumer baseline from raw connectivity to fully managed, clean internet pipelines.

Disrupting Low-End Managed IT Support
Traditionally, IT consultants from the locality and boutique managed service providers (MSPs) have been making consistent revenue streams by setting up, installing, and patching third-party hardware firewalls for the local shop and office settings. Through integrating an enterprise-level, AI-driven security stack as part of their standard internet package for a set monthly fee of between $40 and $60 based on the speed of the connection, Comcast is making the basics of IT security a commodity. The economic dynamics for small-town IT providers have thus been changed such that IT specialists must move beyond the basics of firewall security.

Broad Operational Impact on Small and Growing Businesses

For commercial entities trying to scale operations without expanding their administrative overhead, moving toward network-native security introduces clear operational advantages.

Eliminating the “Per-Seat” Software Licensing Tax
Traditional endpoint security suites are sold through rigid, per-user subscription models. As a business hires temporary staff or adds wireless internet-of-things (IoT) devices—such as smart point-of-sale registers, digital menus, or guest Wi-Fi terminals—licensing costs skyrocket, and unmapped coverage gaps emerge. By tying protection directly to the router pipeline, companies capture true blanket coverage. Every single device that associates with the network layer is automatically covered under a single, predictable line-item expense, flattening infrastructure budgets.

Safeguarding Capital and Continuity at Scale
Currently the financial damages caused by a data breach for a growing company are so great that small-business cyber incidents on average regularly reaching the $500,000 loss level. For a boutique retail brand, a medical clinic, or a regional logistics firm, a single ransomware locking-out can remove completely the annual operational margins. Relying on an automatic, network-native guardrail is a way of making sure that defensive continuity is so to say the very code of the building’s infrastructure. Besides being freed from the daily worry of technical vulnerability business leaders have more capacity for market execution, customer acquisition, and long-term business performance.

The post Comcast Business Launches Built-In Cybersecurity Framework to Protect Small Businesses appeared first on ITDigest.

The announcement brings together three strategic innovations under a single MSP vision:

• Securing AI and AI usage for MSPs
• A new multi-tenant MSP management platform with Management Control Plane (MCP) access
• Unified managed security bundles delivered through a simplified licensing model

Together, these capabilities are designed to help MSPs evolve from infrastructure providers into strategic security and AI transformation partners for their customers.

Securing AI and AI usage for the MSP Market

As AI adoption accelerates across businesses of all sizes, the conversation in the MSP community has focused largely on using AI, not securing it. According to Check Point’s 2026 Cloud Security Report, while 77 percent of organizations have updated their security strategies in response to AI, only 26 percent say they have the architectural capability to enforce those strategies, exposing a growing AI security gap.

To help address this challenge, Check Point is extending Workforce AI Security into its MSP ecosystem, enabling MSPs to discover AI usage, govern employee interactions with AI tools, and protect sensitive data across emerging AI applications and agents.

“AI is reshaping both the threat landscape, and the expectations customers now place on their service providers,” said Dave Meister, Vice President of MSP/MSSP at Check Point Software Technologies. “MSPs are no longer just managing infrastructure — they are helping customers navigate AI transformation. With these new capabilities, we’re giving our partners their first opportunity to discover, secure and govern AI usage, and AI agents at scale in an MSP friendly monthly consumption model with no minimums or locks in in a multi-tenanted environment”

Also Read: Guardz Introduces Agentic Reporting to Redefine SecOps for the Modern MSP

New MSP Platform: Multi-Tenant, AI-Integrated, Built for Scale

The new MSP platform is purpose-built to meet the operational demands of managed service providers, providing:

• Access to the Check Point product portfolio in a multi-tenant, MSP-friendly environment
• Native integration of AI security capabilities, including Workforce AI
• Reinforces Check Point’s open-garden strategy through expanded Professional Services Automation (PSA) integrations
• MCP (Management Control Plane) for the MSP portal
• A new dedicated MSP experience team focused on support, onboarding, enablement, and ongoing partner success

This platform establishes the foundation for Check Point to serve as a long-term infrastructure partner for MSPs, enabling them to manage comprehensive security from a single interface.

Unified Security Bundles for Simplified Managed Delivery

Check Point also introduced new unified MSP security bundles that simplify how partners procure, manage, and deliver managed security services.

The bundles combine email security, endpoint security, browser security, mobile security, SASE, Workforce AI, security awareness training, and DMARC into a single integrated offering. Delivered through a unified management experience and single SKU aligned to the partners’ Microsoft licensing, the bundles help MSPs reduce tool sprawl, streamline procurement, improve operational efficiency, and accelerate customer onboarding.

For partners, the bundles create a more scalable and cost-effective managed security model. For customers, they deliver a simplified, enterprise-grade security experience spanning users, devices, email, SaaS applications, networks, and AI environments. The bundles are also packaged in a simple, easy-to-understand format that enables MSPs to more effectively communicate security value to customers, regardless of their technical expertise.

“As MSPs help customers navigate rapid AI adoption, there is growing demand for solutions that are easier to manage, consolidate fragmented tools, and support evolving security requirements,” said Oguo Atuanya, Corporate Vice President of Vendor Experience at Pax8. “Check Point’s approach brings together AI security, centralized management, and simplified service delivery in a way that aligns with how partners want to scale and support their customers in the era of AI transformation.”

Source: PRNewswire

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Nowadays, operators in enterprise security operations centers (SOCs) are often drowning in a severe alert fatigue, dealing with various streams of telemetry, and grappling with manual reporting backlogs. Conventional protective systems usually separate vital compromise indicators (IoCs) across disconnected internal networks and external third-party vendor ecosystems, thereby causing these data islands. As a result, analyst teams are compelled to spend their precious time cross-referencing logs instead of actively countering threats. BlueVoyant AI eliminates these operational bottlenecks by acting as an intelligent, continuous analysis layer that consolidates corporate cyber defense strategies into a single pane of glass.

“BlueVoyant AI represents the culmination of years of deep engineering and data curation,” said James Rosenthal, CEO and co-founder of BlueVoyant. “By training advanced model architectures on our proprietary, multi-vector threat datasets, we are giving enterprises an autonomous security partner. This technology does not just accelerate threat detection; it redefines how organizations protect their entire digital footprint, from internal networks to the furthest reaches of their supply chain.”

Also Read: KinoSec Introduced Cross-Domain Autonomous Penetration Testing Platform

Context-Aware Analytics and Multi-Vector Threat Intelligence

This platform is based on a vertically integrated data structure that repurposes raw security telemetry so that makes extremely effective and trustworthy paths for remediation very easy to scan. Instead of using generic prompts of large language models (LLMs), BlueVoyant AI uses domain-specific machine learning algorithms that have been trained on verified cyber threat intelligence, real-world attacker behaviors, and comprehensive global risk profiles.

This architecture brings five main operational capabilities to help update the enterprise security postures:

Autonomous Incident Reconstruction: It can connect the unlinked anomalies on the network, endpoint logs, and security alerts on the cloud into one single threat timeline, This way, drastically cutting down manual investigation cycles from hours to mere seconds.

Continuous Third-Party Risk Auditing: It keeps an ongoing check on the external digital perimeters of a company’s vendor ecosystem, converting very complicated supply chain vulnerabilities into straightforward, automated vendor outreach scripts that it prioritizes.

Automated Executive and Compliance Reporting: It produces audit-ready compliance documents and straightforward executive summaries that detail the status of the active defense, which greatly reduces the administrative load of security leadership.

Natural Language Security Querying: This is a feature that enables analysts, regardless of their level of experience, to track the system’s health and check for any discrepancies in the active network by merely using natural conversational language rather than having to resort to the complex, legacy database scripts.

Proactive Defense Generation: This employs behavioral analytics that are predictive in nature to not only identify the possible next steps of the attackers based on the present, well-localized indicators, but also, to automatically supply the active firewalls and endpoint controls with highly targeted defensive configurations.

Elevating the Strategic Value of Enterprise Security Teams

The integration of BlueVoyant AI alters the economics of cyber defense. By automating repetitive triage, data gathering, and initial investigation workflows, the system enables corporate cyber defense divisions to shift away from reactive troubleshooting and focus on high-impact strategic risk management.

“Our goal with BlueVoyant AI was to build a system that acts as a force multiplier for human defenders,” said Milan Patel, global head of managed detection and response (MDR) at BlueVoyant. “In cybersecurity, every second counts. By handing the heavy lifting of data correlation and context gathering over to our AI architecture, we ensure that SOC teams are equipped with the exact insights they need to make definitive, high-stakes defense decisions immediately.”

Built with enterprise-grade data isolation and strict privacy governance protocols, BlueVoyant AI protects sensitive corporate operational telemetry while delivering real-time defense. The advanced security architecture is active and available for enterprise deployment starting today, integrating seamlessly with existing corporate security information and event management (SIEM) systems and broader IT infrastructures.

The post BlueVoyant Launches GenAI Security Architecture to Automate Threat Defense appeared first on ITDigest.

As corporate IT environments grow more complex, security operations teams struggle to defend highly fragmented digital attack surfaces. While traditional penetration testing software focuses on a single operational domain, malicious actors routinely exploit the intersections between disparate environments. KinoSec addresses these cross-surface security gaps by establishing an automated testing framework. For example, a vulnerability identified during a standard network assessment automatically informs and chains with findings from active web or cloud layers, enabling enterprise security teams to isolate sophisticated exploit pathways and privilege escalation risks that isolated point solutions miss entirely.

“What makes this possible,” a company representative stated, ” is KinoSec‘s human reasoning-first architecture. Rather than simply running tools and commands, the platform models why a hacker does what they do; replicating the decision-making of an elite offensive security professional.”

Also Read: Diligent Unveils AI-Driven Cyber Risk Management Platform to Align Security with Business Priorities

Replicating Hacker Reasoning to Prioritize Critical Business Risks

By shifting offensive testing paradigms away from static keyword matching and repetitive command execution, the system introduces a context-aware approach to automated risk management. The technology continuously evaluates discovered assets against broader corporate operational structures, allowing security professionals to prioritize flaws based on actual business impact.

The underlying technology suite introduces several core capabilities designed for modern enterprise environments:

• Comprehensive Surface Auditing: Consolidates external testing protocols across web frameworks, APIs, cloud environments, OSINT datasets, industrial machinery, and physical robotics.

• Chained Exploit Detection: Mimics the behavior of advanced threat actors by dynamically linking low- or medium-severity gaps across different environments to expose full privilege escalation paths.

• Continuous Threat Emulation: Operates autonomously on an ongoing basis, enabling organizations to continuously validate their perimeter security controls without needing to maintain dedicated internal ethical hacking teams.

• Unified Security Intelligence: Gathers, structures, and presents multi-domain telemetry inside a centralized reporting dashboard to help organizations eliminate blind spots.

Driving Long-Term Defensive Strategies with Advanced Automation

The launch builds on the company’s strong performance across independent cybersecurity evaluations. The platform recently earned the top spot on the XBOW autonomous penetration testing benchmark, verifying its capacity to identify and securely exploit complex, multi-stage software vulnerabilities under rigorous evaluation parameters.

Beyond immediate corporate threat detection, the organization’s long-term product roadmap focuses on supporting international national security frameworks. Through its future strategic initiative, internally referred to as Project: Hades, the enterprise aims to develop sovereign-grade offensive security architectures designed to help global law enforcement agencies identify, isolate, and neutralize international cybercriminal groups. As the company’s tagline states, “Companies pay us to hack them so that governments can use us to hack criminals tomorrow.”

The autonomous penetration testing platform is currently available for corporate integration, providing modern security operations centers with a scalable, data-driven methodology to find and patch critical system flaws before external threat groups can exploit them.

The post KinoSec Introduced Cross-Domain Autonomous Penetration Testing Platform appeared first on ITDigest.

For MSPs, reporting remains one of the most time-intensive and inflexible parts of delivering security services. Security teams often need to manually pull data across five or more tools to build a complete picture, while individual alerts can take 15–30 minutes to investigate and contextualize. The pressure peaks at quarterly business reviews, where MSPs are expected to walk clients through security outcomes, posture changes, and threat trends, often with little time to prepare. As threats continue to grow in scale and complexity, this lack of flexibility makes it harder for MSPs to demonstrate value and provide meaningful, real-time insight to customers. Overall, this becomes a value-translation gap: MSPs prevent breaches every week but struggle to prove it. Without a way to communicate impact clearly, renewal conversations slip into price negotiations.

Guardz’s agentic reporting replaces rigid reporting workflows with an intuitive, AI-native experience. Through a conversational interface, MSPs can request specific data points, adjust report structures, and generate tailored insights on demand. The new capability expands data coverage across identities, endpoints, email, cloud environments, and more, incorporating integrated identity threat detection and response (ITDR) and incident insights into a unified reporting experience. This works because Guardz queries telemetry where it lives, on a federated data architecture rather than the centralized indexing and batch-and-query lag of a SIEM. Reports surface in real time, not after the storage tax. The system allows users to continue refining outputs through follow-up queries, enabling deeper visibility without additional manual effort. Outputs are shaped by each MSP’s specific operating model and customer data, an early expression of the platform’s operational intelligence layer, so reports reflect how that MSP actually works rather than a generic template.

Also Read: The Automated Fortress: How NetApp and Cisco Are Embedding Ransomware Defense Directly into Storage

The result is a more intuitive way to move between high-level summaries and detailed investigation. For MSPs, reports can surface key outcomes such as threats blocked, incidents investigated, and changes in security posture, providing clear evidence of the security value MSPs are delivering. For their SMB customers this translates into clear context around what was prevented and why it matters, making it easier to demonstrate the value of their services in terms non-technical customers can act on – and to do so across every client, without adding manual effort or operational overhead as their business grows.

“MSPs are being asked to deliver stronger security outcomes while also proving their value more clearly than ever before, and reporting has been a major challenge,” said Dor Eisner, CEO and co-Founder of Guardz. “With agentic reporting, we’re removing that issue. MSPs can now interact directly with their data, generate insights in real time, and communicate impact in a way that is both flexible and meaningful to each customer. This is the first step in our broader vision of an agentic SecOps platform that learns how each MSP operates and scales with them.”

The introduction of agentic reporting marks a broader shift in how security operations are managed within the Guardz platform and reflects the company’s direction toward becoming the agentic SecOps platform for the modern MSP; one that covers workspace security across identity, endpoint, email, cloud, and data while learning how each MSP operates. As part of its continued evolution, Guardz is expanding its use of AI-driven workflows across the security lifecycle, including an investigation agent already available to MSPs, alongside agents designed to support administrative tasks and security control management currently in development. Throughout, MSPs stay firmly in control while reducing operational overhead. Agentic AI handles the volume; human expertise handles the judgment. That’s the model Guardz MDR was built around from day one.

Source: PRNewswire

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Nowadays, ransomware is so fast and stealthy that letting a security analyst manually handle an alert, examine the potential threat, and isolate the infected equipment can almost be the death of the company.

Recognizing that the threat containment window has shrunk to seconds, data infrastructure pioneer NetApp and networking and security giant Cisco announced a major expansion of their long-standing collaboration. The cornerstone of this release is the launch of the NetApp Splunk Security Orchestration, Automation, and Response (SOAR) playbook. By embedding programmatic incident response directly into the storage hardware layer where a company’s critical data actually resides, the alliance effectively moves corporate defense from a slow, reactive posture into a unified, machine-speed fortress.

Active Threat Containment at the Storage Layer

Logging and aggregating security telemetry is standard operational practice across enterprise systems. The challenge occurs when a live encryption sweep begins, and data protection software is unable to halt execution before massive corruption spreads.

The net-new capability introduced by Cisco and NetApp addresses this roadblock by integrating Cisco’s Splunk SOAR workflow engine directly with NetApp’s core data management platform, ONTAP. Splunk Enterprise Security already relies on NetApp Ransomware Resilience analytics to flag active network and data anomalies. This new, downloadable SOAR playbook takes those real-time data-layer alerts and immediately maps them to deterministic, automated containment playbooks.

When a suspicious activity signature is verified, the system executes defensive actions without waiting for manual human approvals:

Account Isolation: Instantly blocks compromised or malicious corporate user accounts from accessing network shares or corporate file hierarchies.

Immutable Snapshots: Triggers unalterable, cryptographic snapshots of the underlying data volumes, preserving clean historical restore points right at the moment of infection.

Volume Shut-Downs: Logically forces compromised data pools completely offline to physically compress the “blast radius” of a threat.

Also Read: The Agentic Shift: How Experian’s Agent Operating System is Redefining Financial Services

Transforming the IT and Infrastructure Industry

The introduction of direct storage-layer automation creates fundamental waves across the broader information technology (IT) and system engineering sectors.

Eliminating the Storage-Security Silo
Historically, corporate IT organizations have been divided into structural silos: storage administrators focused heavily on hardware availability, IOPS (Input/Output Operations Per Second), and capacity, while security operations center (SOC) analysts managed firewalls and network perimeters. This release signals a market shift where storage hardware can no longer remain a passive endpoint. As defense-in-depth strategies become a non-negotiable standard, competing infrastructure and cloud backup vendors will face heavy market pressure to co-develop similar active hardware integration tools, effectively changing the baseline architecture of enterprise storage.

Shifting SOC Metrics and Labor Economies
The global IT landscape continues to face extreme technical skill shortages and unprecedented security team burnout. By rolling out pre-built, out-of-the-box automated orchestration scripts, NetApp and Cisco target a foundational engineering metric: Mean Time to Contain (MTTC). Shrinking the latency between attack detection and containment from hours to milliseconds transforms the daily routine of IT professionals. Rather than writing fragile, custom bash scripts to pass commands between vendor tools, IT engineers can shift their career trajectories toward proactive risk architecture, identity management, and holistic digital resilience.

Broad Operational Impact on Enterprise Businesses

For companies balancing digital transformation with hyper-aggressive threat environments, the deployment of machine-speed data protection fundamentally alters operational dynamics.

Minimizing Downtime and Financial Losses
When ransomware slips past outer barriers, every single minute of encryption latency costs thousands of dollars in lost operational capacity, compromised client trust, and regulatory penalties. Because the NetApp Splunk SOAR playbook segments the threat instantly, companies restrict attacks to fractional pools of data. Instead of a catastrophic, business-wide network blackout that stretches across multiple weeks of manual recovery, an enterprise handles a highly managed, localized cleanup of an isolated volume, maintaining normal client-facing operations.

Achieving Predictable Business Continuity

Relying entirely on bulk nightly backups for disaster recovery is no longer sufficient; transferring petabytes of business data back across an enterprise network takes hours or days, and often, secondary backup servers are target objects for modern malware anyway. Utilizing real-time volume snapshots and automated network cleanrooms gives corporate boards predictable, measurable resilience numbers.

This transparent audit trail allows compliance teams to satisfy rigorous regulatory framework parameters, lower cyber insurance policy premiums, and ultimately safeguard corporate equity.

The post The Automated Fortress: How NetApp and Cisco Are Embedding Ransomware Defense Directly into Storage appeared first on ITDigest.

Also Read: Didit Raises $7.5M to Advance AI-Native Identity Infrastructure 

Adnan Amjad, US Cyber Leader at Deloitte, highlighted the transformative shift, stating, “We are at an inflection point where traditional approaches to security operations can no longer keep pace with the threat landscape. By bringing together Google Cloud’s agentic AI, Wiz’s deep cloud context and Deloitte’s security integration experience, we are helping to pioneer a new paradigm. This human-led, AI-powered approach allows organizations to build resilience by design and manage cyber risk at the speed of business.” Furthermore, Francis deSouza, Chief Operating Officer at Google Cloud and President of Security Products, emphasized the scale of the deployment, adding, “You can’t bring traditional security to an AI fight. AI Threat Defense combines Wiz’s multicloud visibility with Google’s AI and security expertise. Collaborating with Deloitte to deliver customizable, agentic defense helps us scale this offering, empowering organizations to stop AI-driven threats at machine speed.”

Read More: Deloitte Collaborates with Google Cloud and Wiz on Human-in-the-Loop, AI-Powered Cyber Defense

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As part of the program, TrendAI will use Anthropic’s Claude Mythos Preview to support the review and analysis of software code, helping threat intelligence researchers turn accelerated vulnerability discovery into coordinated disclosure, prioritized remediation, and measurable risk reduction through vulnerability shielding and virtual patching.

AI is dramatically accelerating vulnerability discovery. TrendAI views this as a positive signal for the industry – it is part of the broader, collaborative ecosystem TrendAI has been actively contributing to for decades alongside organizations like Anthropic.

Also Read: Tanium and Censys Join Forces to Accelerate Continuous Exposure Management in the Age of AI

Rachel Jin, Chief Platform and Business Officer, Head of TrendAI: “We’re aligned with Anthropic’s goals of using AI to make all software more secure. Organizations increasingly depend on software that operates at tremendous scale and supports critical business functions. Project Glasswing represents an important opportunity to explore how advanced AI can help software providers identify vulnerabilities earlier and improve the security and resilience of the systems customers depend on every day.”

TrendAI joins a growing community of organizations participating in Project Glasswing to better understand how frontier and advanced AI models can support defensive security efforts and improve the security of critical software infrastructure.

Insights gained through the program will contribute to informing the broader industry efforts to strengthen the security of the digital ecosystem.

Source: PRNewswire

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