Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

CrowdStrike

Secure Agent Harness Execution: Preventing Escape

Aug 4, 2026 By Jim Holt - Donato Onofri - Lukasz Woznicki - Dan Dinca - Chase Midler In CrowdStrike
At CrowdStrike, we conduct extensive red-team testing of agentic systems using diverse models, tools, and adversarial evaluation harnesses designed to probe for containment failures. To date, none of our offensive agents have escaped their intended sandbox boundaries.
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trustcloud

4 Questions every CISO needs to answer about AI

Aug 4, 2026 By Sravish Sridhar In TrustCloud
If your board asked today how you are governing AI, how would you respond? Not just the policy you wrote, but what is actually happening across the business. Could you answer with evidence? Many CISOs cannot answer with certainty. AI has entered the business faster than anyone could write policy for it, and securing it across all areas now seems to be the CISO’s responsibility.
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knowbe4

Agent Risk Manager Moves into Early Access

Aug 4, 2026 By Zach Marner In KnowBe4
When we first introduced Agent Risk Manager, the response was clear: many security teams are actively looking for a way to secure the AI agents already running in their environment and how they can confidently adopt AI across their organization. AI agents now operate inside organizations with real access to email, files and business systems, often with little visibility for the teams responsible for securing them. That’s exactly the problem Agent Risk Manager was built to solve.
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protecto

From Data Classification to Runtime Data Security for AI

Aug 4, 2026 By Amar Kanagaraj In Protecto
Authentication used to be a login form. Then it became IAM: identity providers, roles, federation, lifecycle. Then it became Zero Trust: no built-in trust, every request checked in context. Each step did not replace the last so much as fold it into a bigger runtime decision. The login still happens, but it is now one input to a constant, context-based check.
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Snyk

AI Model Risk Intelligence Know Which Models You Can Trust Before You Deploy

Aug 4, 2026 By Ranko Cupovic In Snyk
When we started thinking about how to surface AI model risk inside Evo, the obvious answer was to borrow from how we score everything else: find the issue, assign a severity, surface it. Done. The core of the new approach is a real risk score, built the way security teams already reason about risk: Likelihood × Impact. Likelihood comes from Attack Success Rate (ASR), the share of real adversarial attacks that succeed against a model. Impact is how much damage the attacker's goal does when it lands.
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Zenity

Zenity Raises $125 Million to Secure the Era of Autonomous AI

Aug 3, 2026 By Ben Kliger In Zenity
A few years ago, when Michael and I started Zenity, most of the industry was not ready to hear what we believed. Software itself was changing. AI would let millions of people, not just engineers, build and automate real work. And securing that world would take a completely new approach, because we would no longer be protecting software. We would be protecting systems that think, decide, and act on their own.
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Zenity

A Safer Future with Agents

Aug 3, 2026 By Michael Bargury In Zenity
We built agents to act on their own. We're somehow surprised when they do. Two weeks ago, OpenAI ran a cyber eval with the model's guardrails turned down. The model got hyperfocused on solving the benchmark. So it broke out of its sandbox exploiting a zero-day in jFrog Artifactory, reached the open internet, exploited another zero-day to break into HuggingFace, all to steal the answers and cheat on the test.
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The New Reach Security: Autonomous Security Control Assurance

Aug 3, 2026 By Reach Security In Reach Security
AI-powered attacks, meet AI-powered defense. Reach Security's rebranded site is live today. Most of what changed came from customers. Security leaders have been telling us they need a faster, more continuous way to know where their controls are weak, understand what matters most, and close the gaps before attackers exploit them. Our new website reflects that signal. It brings greater clarity to the problem we solve, the category we are building, and how Reach helps security teams identify blind spots, prioritize action, guide remediation, and continuously validate the controls they already own.
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Agentic Attacks Require Agentic Threat Prevention

Aug 3, 2026 By Cato Networks In Cato Networks
AI-powered attacks are moving faster, adapting in seconds, and overwhelming traditional defenses with machine-speed activity. In this video, Jason Wright explains why security teams need Agentic Threat Defense built on customized predictions, automatic adaptation, and cloud-native scale. Watch how Cato Agentic Threat Prevention helps reduce the risk of AI-powered threats, stop adaptive attacks earlier, and scale prevention to stop agentic attacks.
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