Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

exabeam

Stopping the Agentic Breach: How to Operationalize Your Defense Against Mythos-Speed Attacks

May 26, 2026 By Exabeam In Exabeam
The industry has spent the past few weeks focused on Claude Mythos Preview and the rise of autonomous offensive AI. As outlined in Claude Mythos, Project Glasswing, and the Machine-Speed Security Race, this shift is not only about faster attacks. The same AI-driven acceleration that helps attackers discover weaknesses faster can also help defenders validate exposure sooner. For security operations teams, the challenge is turning that strategic shift into action.
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cyberhaven

Agentic AI Security: Governing Shadow Agents on Endpoints

May 26, 2026 By Cyberhaven In Cyberhaven
Most enterprise security programs were built around a simple assumption, not invalid assumption that data moves when a person decides to move it. AI agents have broken that model, and now act autonomously, reading files, calling APIs, executing code, and transferring data across systems without waiting for a human to approve each step. Many of these agents were never sanctioned by IT or security.
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How an AI SEO Agency Helps SaaS Businesses Rank Faster Online

How an AI SEO Agency Helps SaaS Businesses Rank Faster Online

May 26, 2026 By SecuritySenses In SecuritySenses
Software companies often depend on search visibility long before paid acquisition becomes efficient. Yet many teams publish pages without a clear intent map, a crawl plan, or realistic ranking priorities. Results slow down for predictable reasons. Search growth usually improves when technical repair, keyword research, and content planning move in the right order. With that structure in place, SaaS brands can reach evaluators earlier, support longer buying cycles, and build a steadier pipeline from organic discovery.
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cato networks

Stop Treating AI Like Another SaaS App

May 25, 2026 By Liron Hakim Bobrov In Cato Networks
Employees are leveraging AI to boost productivity and adopt skills that would take years to learn. This ranges from drafting content, writing code, and building automated workflows. Some of this use is approved. Much of it is not. For many security teams, the first instinct is to treat this risk like they would any other SaaS risk: discover the app, allow or block access, apply DLP rules, and report on usage. That model works for traditional SaaS, but AI is different.
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Developers Are Installing AI Agent Skills Too Fast

May 25, 2026 By Snyk In Snyk
235,000 installs per week. That’s how quickly developers are downloading AI agent skills — packages that give AI coding agents new capabilities like shell access, file system operations, cloud access, and deployment permissions. But unlike traditional npm packages, agent skills introduce a completely new security problem: natural language instructions that AI agents can interpret and execute autonomously.
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AI didn't create the identity problem. It exposed it. #netwrix #datasecurity #identitysecurity

May 25, 2026 By Netwrix In Netwrix
As access changes constantly and sensitive data moves faster than security teams can track, visibility matters more than ever. Helen R., Director of Engineering at Netwrix, explains why identity and data security can’t operate in silos anymore, especially in the age of AI. Have questions about identity governance, AI, or protecting sensitive data? Experts at Netwrix, including Helen, are helping organizations navigate these challenges every day.
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armo

AI Agent Governance: From Policy Framework to Runtime Enforcement

May 25, 2026 By Ben Hirschberg In ARMO
Most enterprise AI agent governance programs publish policies at the bottom three rungs of a runtime enforceability ladder while their architecture diagrams claim rung four. Almost no program reaches rung five, the only rung that produces evidence an auditor cannot dispute. The mismatch shows up in the audit committee meeting. The CISO walks in with the NIST AI RMF mapping, the AUP, the model cards, and the vendor risk assessments for every third-party API the agents call.
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armo

Can Existing CNAPPs Secure AI Agents in Cloud Environments? Where Each Domain Stops

May 25, 2026 By Shauli Rozen In ARMO
A CNAPP isn’t a single instrument. It bundles five separately-instrumented security domains — CSPM, CWPP, CIEM, CDR, and a fifth add-on module marketed as AI security — each watching a different observation point. So when leadership asks whether your CNAPP can secure the AI agents your team has shipped, you don’t get one answer. You get five.
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cyberhaven

DLP for GenAI: How to Prevent Sensitive Data Leaks in AI Tools

May 25, 2026 By Cyberhaven In Cyberhaven
Employees are feeding sensitive data into AI tools at a pace most security teams did not anticipate. Source code goes into coding assistants. Customer records get pasted into ChatGPT to draft emails. Confidential contracts land in Gemini for summarization. According to Cyberhaven Labs research, 39.7% of the data employees share with AI tools is sensitive, and the volume is accelerating as AI adoption spreads from individual contributors to entire workflows.
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