Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

CrowdStrike

CrowdStrike Announces Continuous Identity for AI Agents

Jun 15, 2026 By Ryan Terry In CrowdStrike
Identity security has long been built around a simple premise: Authenticate a user, grant access, and trust that decision until their next login. While for many this model worked well enough when identities were primarily human and access patterns were predictable, that’s no longer the case for humans and definitely not the case for AI agents.
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Snyk

The Government Just Banned an AI Model. An Engineer's Perspective.

Jun 15, 2026 By Randall Degges In Snyk
I've spent the better part of three years wiring AI into how my teams build and ship software. So when the news broke this week that the US government had effectively switched off an AI model, I was legitimately shocked. Not for one country. Not for one company. For everyone on the planet, all at once. Three days. That's how long Anthropic's Fable 5 and Mythos 5 models were available before the government ordered them shut off for everyone.
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Zenity

Governance and Security Are Different Problems: Agentic AI Is Exposing the Gap Between Them

Jun 15, 2026 By Cinthia Portugal In Zenity
Many organizations still use the terms AI governance and AI security interchangeably. While they are closely related, they address fundamentally different challenges. Governance establishes accountability, defines acceptable use, manages risk, and helps organizations align AI adoption with business, legal, and regulatory requirements. Security focuses on understanding and controlling behavior.
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komodo consulting

We Pointed an Autonomous AI Pentester at a Deliberately Broken API. It Came Back With a Root Shell

Jun 15, 2026 By Komodo Research In Komodo Consulting
AigentX, our autonomous web-application penetration testing agent, ran black-box against OWASP crAPI and confirmed 35 exploitable findings, 15 of them Critical, including a chain that turns a free signup account into uid=0(root) and a permanently forged admin identity. Every finding below carries a request, a response, and a reproduction. The full report is one click away. Most “AI found N vulnerabilities” write-ups never let you check the work. This one does.
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egnyte

The Future of AI-Powered Enterprise Workflow Automation: Egnyte + StackAI

Jun 15, 2026 By Niamh Conlon In Egnyte
Egnyte is excited to partner with StackAI—an enterprise AI platform trusted by organizations across financial services, life sciences, construction, and more—to bring AI-powered workflow automation directly to your content environment. For organizations that rely on Egnyte to store, govern, and share business-critical documents, this integration means you can now put that content to work with AI, without sacrificing security or governance.
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knowbe4

Agentic AI Security in 2026: What to Know

Jun 15, 2026 By KnowBe4 Team In KnowBe4
Organizations are rapidly deploying autonomous and semi-autonomous AI agents that can make decisions, execute tasks and interact directly with systems without constant human oversight. That shift is driving investment, with the global agentic AI in cybersecurity market projected to grow to $322.39 billion by 2033. The surge represents enormous gains in efficiency and agility — and also signals a dramatic increase in risk.
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cyberhaven

The CIO's AI Security Checklist: 10 Questions Before Deploying Agents

Jun 15, 2026 By Cyberhaven In Cyberhaven
You approved the AI tools. You funded the infrastructure. Now your teams want to deploy AI agents, and the ask sounds reasonable: automate the research workflow, connect the agent to the CRM, let it draft and send. The productivity case is clear. What is less clear is who owns the security exposure when that agent starts moving data across systems it was never explicitly authorized to touch. The answer, increasingly, is you.
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Healthcare LLM vs General-Purpose LLM: Why Domain-Specific Models Win in Clinical AI

Healthcare LLM vs General-Purpose LLM: Why Domain-Specific Models Win in Clinical AI

Jun 15, 2026 By SecuritySenses In SecuritySenses
AI's rapid evolution has ignited a transformation across all industries, including the healthcare sector. Large Language Models, such as Claude and GPT-4, have impacted the world with their efficiency in drafting poetry, writing codes and replying to general queries. However, general-purpose models may not work when evaluating an oncology report, predicting the risks of patient readmission, or getting dosage instructions from unorganised clinical notes. General intelligence isn't enough in medicine. Clinical AI demands special skills, privacy, and accuracy.
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The Quiet Bottleneck Slowing Down Enterprise AI Adoption

The Quiet Bottleneck Slowing Down Enterprise AI Adoption

Jun 15, 2026 By SecuritySenses In SecuritySenses
Enterprise leaders are facing a frustrating reality. Engineering teams are successfully building impressive artificial intelligence proofs of concept in controlled environments. Yet, when the time comes to deploy these tools across the wider organization, progress grinds to a complete halt. You have the budget, the mandate from the board, and the initial working prototype, but translating that pilot into a reliable, production-ready tool feels impossible.
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