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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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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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Snyk

When a Government Pulls an AI Model: What the Fable 5 and Mythos 5 Suspension Means for Security Teams

Jun 14, 2026 By Stephen Thoemmes In Snyk
On the evening of June 12, 2026, Anthropic disabled access to two of its newest models, Claude Fable 5 and Claude Mythos 5, for every customer worldwide. The company did not do this because of an outage or a self-discovered flaw. It did it to comply with a US government export-control directive, received at 5:21 PM ET that day, citing national security authorities.
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komodo consulting

The World's First Fully Autonomous Security Platform: AigentX

Jun 14, 2026 By Komodo Research In Komodo Consulting
Stop managing alerts. Start managing your business. While other platforms wait for your "OK," our KomodoSec AigentX is already halfway through the fix. Security teams today are overwhelmed by alerts, delayed responses, and fragmented tools. An autonomous security platform changes that by acting instantly, detecting and fixing threats without waiting for human input.. Traditional Security Operations Centers (SOCs) often struggle to keep up with the scale and speed of modern threats.
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astra

Agentic AI in Cybersecurity: The Complete Guide for Security Teams

Jun 14, 2026 By Ephrim Holyson In Astra
Every modern engineering team pushes code multiple times a day. With each deployment, the attack surface shifts and expands in real time as new dependencies and configurations emerge. According to recent industry data, 16% of teams now deploy on demand or multiple times a day. At this pace, securing the attack surface with traditional pentesting is like playing an exhausting game of Whack-a-Mole, while here the targets never stop evolving and multiplying.
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aikido

Full Fathom Five: The context of Anthropic's Mythos-class public release

Jun 13, 2026 By Mike Wilkes In Aikido
This week bore witness to some interesting events and milestones as Anthropic announced the availability of Claude Fable 5, a descendant of their Mythos Preview model, and Microsoft published their largest Patch Tuesday in history with over 200 vulnerabilities. The two are not unrelated.
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Agentic AI Visibility and Risk Scoring: What Cyberhaven Sees That Others Miss | (Part 3 of 4)

Jun 12, 2026 By Cyberhaven In Cyberhaven
Knowing an AI tool exists is not the same as knowing what it did with your data. This is Part 3 of Cyberhaven's 4-part AI Security product launch series, covering Agentic AI Visibility and AI Risk IQ, Cyberhaven's evidence-based risk scoring system for every AI app and agent in your environment.
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