Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Always-on detections: eliminating the WAF "log versus block" trade-off

Traditional Web Application Firewalls typically require extensive, manual tuning of their rules before they can safely block malicious traffic. When a new application is deployed, security teams usually begin in a logging-only mode, sifting through logs to gradually assess which rules are safe for blocking mode. This process is designed to minimize false positives without affecting legitimate traffic. It’s manual, slow and error-prone.

What a Rogue Vacuum Army Teaches Us About Securing AI

If you’re like me, you’ve been enthralled with the recent story, expertly written by Sean Hollister at The Verge, about how Sammy Azdoufal built a remote control for his DJI Romo vacuum with a PlayStation controller, and ended up in control of 7,000+ robovacs all over the world. On the surface, it sounds like vibe coding gone slightly sideways. I mean, really, what could a vacuum possibly do? Turns out… a lot.

Your AI Just Became the Insider Threat | CrowdStrike Global Threat Report 2026

Hackers can reach your critical systems in just 27 seconds. In 2025, AI-powered cyberattacks surged 89% as adversaries weaponized the same AI tools organizations use every day. From eCrime groups to China-nexus actors, North Korean operatives, and Russian intelligence, AI is accelerating and reshaping global threat activity. In this video, you’ll learn: Adversaries are not just using AI. They are weaponizing your AI against you.

AI certificate

You can ask AI to create a song that sounds like a famous band sang it. But what happens if you use it or share it? Are there legal or other implications? AI tools must be visible and governed. Shadow AI isn’t. Take Cato’s AI in Cybersecurity course to understand the risks of unsanctioned AI tools. It’s free, comes with a downloadable cert, and earns CPE credits. Register now.

Why AI Features Don't Equal Better Vulnerability Management

AI is becoming table stakes in vulnerability and exposure management. In this candid webinar conversation, Chris Ray, Field CTO at GigaOm, and Will Gorman, CTO and leader of AI initiatives at Nucleus Security, challenge the assumption that more AI automatically leads to better outcomes.

AI Moves Fast, Privacy Has to Move Faster with Ojas Rege

In this episode, Caleb Tolin welcomes Ojas Rege of OneTrust for a practical, wide-ranging conversation on how data privacy and governance must evolve alongside enterprise AI adoption. Ojas explains why AI fundamentally changes the privacy conversation: the same systems that enable organizations to move faster can also cause harm faster when guardrails aren’t in place. From agentic AI systems that dynamically repurpose data to general-purpose models that blur traditional notions of “intended use,” the challenge isn’t just compliance—it’s trust.

AI Compliance: 5 Key Frameworks, Challenges, and Best Practices

AI compliance ensures AI systems follow laws, ethics, and standards by managing risks like bias, privacy violations, and lack of transparency through robust governance, documentation, and continuous monitoring, using frameworks like the EU AI Act and NIST AI Risk Management Framework (RMF) to build trust and avoid penalties in developing, deploying, and operating AI.

What is a Prompt Injection Attack?

AI tools are quickly becoming part of everyday business workflows. From chatbots to automation tools, large language models now handle sensitive tasks and data. But with this growth comes new security risks. One of the biggest emerging threats is the prompt injection attack, in which attackers manipulate inputs to cause AI systems to ignore their original instructions. Unlike traditional cyberattacks, this method exploits weaknesses through language rather than code.