Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Heimdal Survey: Executives Four Times More Confident About AI Risk Than the Teams Managing It

New research from cybersecurity company Heimdal finds 29% of US executives say AI risk is under control, against 7% of the practitioners running it day-to-day. Across 1,000 IT professionals in the UK and US, AI adoption has outpaced security controls by roughly two to one.

Agentic workflow automation: governing AI agents inside workflows

AI agents don't behave like the playbooks security and IT teams have spent years building. They form intent, select tools at runtime, and chain actions across systems in sequences nobody pre-authored. This means dropping an LLM into an existing automation sequence and expecting it to act like a smarter playbook is the fastest route to ungoverned, unpredictable outcomes.

How we're actually using AI in the SOC with Eric Capuano

Join us for the final episode of Defender Fridays as Eric Capuano, creator of Defender Fridays and co-founder of Digital Defense Institute, closes out the series with a candid conversation on how he's actually building and running agentic workflows in the SOC today. At Defender Fridays, we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.

After Executive Order 14409: Next Steps for Securing AI

Adversaries are using AI to attack with unprecedented speed and precision. This trend, coupled with the rapidly growing use of agentic AI, means it is now necessary to use AI to protect and defend the modern tech stack. It is timely that on June 2, 2026, President Trump signed Executive Order 14409 on Promoting Advanced Artificial Intelligence Innovation and Security. At a high level, this EO validates that security is fundamental to reaping the benefits of AI.

The AI jailbreak problem isn't going away, and compliance frameworks need to catch up

A few weeks ago, the U.S. government issued a directive requiring Anthropic to suspend access to two of its frontier AI models, Fable 5 and Mythos 5, citing concerns about a reported jailbreak technique. Anthropic complied, even while publicly disputing whether the finding warranted such a dramatic response. I'm not here to relitigate that specific decision. But the incident forced a question our industry has been dancing around for too long.

Visibility Isn't Security: Why Agentic AI Requires Business Logic Enforcement

Organizations are investing heavily in securing their AI initiatives. New governance frameworks are being established, AI usage policies are being drafted, and security teams are deploying tools that provide visibility into AI agents, models, APIs, MCP servers, and connected applications. Across the industry, visibility has become the first priority in securing agentic AI. This focus is understandable. Most organizations are still trying to answer foundational questions.

Optimize Your Netskope Security Controls with Reach Security

"What's the problem, and how do I fix it?" Most security tools can't answer that. Reach can, for every misconfiguration in your Netskope deployment. It analyzes your web, SaaS, and data protection policies, flags what's drifted, and hands your team the exact fix ranked by risk and all powered by AI models. No guesswork, no 40-tab config audit.

What Is Cybersecurity Asset Management? A 2026 Guide to CAASM

Security teams spend enormous energy responding to threats, but many of the most damaging incidents trace back to a surprisingly simple failure: the organization didn't have an accurate picture of what it owned, what was exposed, and what its tools were actually doing about it. That gap between assumed coverage and actual coverage is where attackers operate, and adding more tools doesn't fix the underlying visibility problem.

Cato CTRL Insights: Governing Hermes Agent, Security for AI That Learns, Remembers, and Acts

Agentic AI is evolving from assistants that answer questions into systems that can remember, use tools, call APIs, interact with SaaS applications, and improve over time. Hermes Agent, developed by Nous Research, reflects this shift as a self-improving agent that can create skills, persist knowledge, and build context across sessions., reflects this shift as a self-improving agent that can create skills, persist knowledge, and build context across sessions.