Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

knowbe4

I Didn't Revoke my API Keys Because Claude Called Me An Idiot

Mar 24, 2026 By Javvad Malik In KnowBe4
I need to confess something. A few days ago whilst vibe coding at 2am (which can end up burning through tokens like they are going out of fashion) I accidentally pasted my API key directly into a Claude chat instead of the terminal window I had open. Claude told me off. It felt like a full, proper, disappointed parent tone; the AI equivalent of 'I'm not angry, just disappointed', except it absolutely was angry. There may have been paragraphs.
Read Post
knowbe4

Best Practices for Implementing AI Agents

Mar 24, 2026 By Martin Kraemer In KnowBe4
On March 9th, Codewall.ai disclosed how it had hacked McKinsey & Company’s AI platform called Lilli, a purpose-built system for 43,000+ employees to analyze documents, chat, and access decades of proprietary research. The researchers unleashed an AI agent which quickly scanned 200 endpoints, identified 22 that did not require authentication, and one that wrote user search queries into a database including non-parameterized JSON keys which were concatenated directly into SQL.
Read Post
Arctic Wolf

The Future of Superintelligent Security Operations Starts with Data Built for AI

Mar 24, 2026 By Jeff Green In Arctic Wolf
Every major shift in security operations starts with a shift in the underlying platform. The AI era is no different. As artificial intelligence moves from novelty to necessity, the real dividing line in cybersecurity will not be which vendor can add AI features the fastest. It will be which platforms are built on the right foundation to make AI useful in real operations and trustworthy when the stakes are high. That foundation is data, but not in the simplistic sense the market often uses the term.
Read Post
Arctic Wolf

The AI Malware Surge: Behavior, Attribution, and Defensive Readiness

Mar 24, 2026 By Arctic Wolf Labs In Arctic Wolf
Over the last year, AI-assisted malware development has evolved from an experimental practice into a common part of the attacker toolkit. In a rolling window from February 2025 to February 2026, Arctic Wolf Labs observed over 22,000 distinct files triggering AI-focused YARA rules across multiple malware repositories. These files included AI-generated code, large language model (LLM)-style scaffolding, runtime AI API integration, and DeepSeek-derived artifacts.
Read Post
How Connected Vehicles and AI Are Redefining Insurance and Digital Security Risks

How Connected Vehicles and AI Are Redefining Insurance and Digital Security Risks

Mar 24, 2026 By SecuritySenses In SecuritySenses
The way we drive is changing. Cars are no longer just machines that take us from one place to another. They are now connected systems that collect data, communicate with networks, and use artificial intelligence to improve safety and performance. These connected vehicles are transforming industries like insurance and cybersecurity in ways we are only beginning to understand.
Read Post
cato networks

Where Cato Sits in the AI Economy

Mar 23, 2026 By Shlomo Kramer In Cato Networks
Every major technological shift reshapes the landscape, creating both winners and losers. AI will be no different. The key question is which companies are positioned to capture the value it generates, and which ones may fall behind as it unfolds. If you look at previous technology shifts, the winners were not always the companies building the most visible products. They were often the ones that enabled the shift to happen in the first place, or those that benefited from the structural changes it created.
Read Post
Zenity

OpenClaw Needs Real Security Controls; We Built Them Open Source

Mar 23, 2026 By Dina Durutlic In Zenity
AI agent adoption and development are evolving quickly. The tooling used to build agents is improving fast, but the security controls around those agents are often rigid, opaque, or difficult to adapt to real environments. As more teams experiment with OpenClaw, one challenge becomes clear: developers need ways to inspect what agents are doing, evaluate risky behavior, and intervene when necessary.
Read Post
Zenity

The Shift to Continuous Context and the Rise of Guardian Agents

Mar 23, 2026 By Dina Durutlic In Zenity
AI agent risk doesn’t emerge in a single moment. It develops over time across configuration changes, runtime behavior, long-horizon tasks, and interactions between agents, users, and enterprise systems. Their behavior and exposure can shift in real time as agents rewrite instructions, update memory, and dynamically alter execution.
Read Post

BewAIre: Detecting Malicious Pull Requests at Scale with LLMs

Mar 23, 2026 By Datadog In Datadog
As AI coding assistants accelerate software development, the volume of pull requests at Datadog has grown to nearly 10,000 per week, increasing the risk that malicious changes slip through due to review fatigue. To address this, Datadog built BewAIre, an LLM-powered code review system designed to identify malicious source code changes introduced by threat actors. By reducing approval fatigue for developers while increasing friction for attackers, BewAIre guides human reviewers to the areas where judgment matters most, without slowing developer velocity.
View Video

Copyright © 2026 OpsMatters™. All rights reserved.