Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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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Ep 44: You can't vibe code your way through a production outage

May 26, 2026 By Sumo Logic, Inc. In Sumo Logic
In this episode of Masters of Data, we tackle one of tech's buzziest debates: vibe coding versus production-ready software. We break down where AI-assisted "just make it work" coding genuinely shines (think POCs, prototypes, and getting stakeholder buy-in fast) and where it falls dangerously short when someone tries to ship it to ten thousand enterprise users. We also dig into David's agentic engineering workflow, security risks like malicious MCP servers and supply chain attacks, and why turning a vibe-coded prototype into real software still takes months, not days. Bottom line.
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LimaCharlie

When AI changes the rules, attackers adapt

May 26, 2026 By Daniel Ballmer In LimaCharlie
The dominant narrative around AI in security is one of emboldened defenders suppressing attackers. Yet, not everyone is convinced the future will be so rosy. In a recent Defender Fridays episode, Josh Neil, Co-founder and CTO of Alpha Level, made an argument that cuts against the celebratory mood: as AI makes known attack vectors harder to use, adversaries don't disappear. They adapt. For MSSPs and SOC teams, an adversary that looks like a user is a harder problem than one that looks like malware.
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knowbe4

AI Agent Governance Part 1 - Beyond the Chatbot: Mastering AI Agent Governance

May 26, 2026 By Anna Collard In KnowBe4
In 2024, we talked to AI. In 2026, AI is talking to our systems, our customers, and increasingly, acting on our behalf. With AI agents, we are moving AI from a tool to an actor, from assistance to agency and from outputs to actions. And that changes the nature of risk. AI agents plan, execute, and interact with the world on our behalf. They send emails, move data, trigger workflows, and increasingly operate across systems without human intervention.
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knowbe4

Report: Adversarial Use of AI is Evolving

May 26, 2026 By KnowBe4 Team In KnowBe4
Threat actors are increasingly augmenting their attacks with AI tools, according to researchers at Google’s Threat Intelligence Group (GTIG). For the first time, GTIG observed a threat actor using a zero-day exploit developed by AI, although Google blocked the attack before it succeeded. Threat actors also continue to use Large Language Models (LLMs) for research, reconnaissance, and malware development.
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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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