Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Do open source tools give you full Kubernetes attack coverage? Kubescape, Trivy, and Falco each excel in their lane—posture, vulnerabilities, and runtime—but none of them builds a complete attack narrative on its own. Deploying all three still leaves you with evidence fragments rather than a connected incident story. Why can’t siloed alerts keep up with real attacks?

Proactive instead of reactive. Are you tired of hearing that already? This phrase seems to appear in almost every elevator pitch. But when it comes to cybersecurity, anticipating threats is essential. Attackers are more professional, automated, and faster than ever. The damage they cause keeps growing, and the window you have after the first alarm to protect your organization is shrinking.

As more services, communication, and daily activities move online, the amount of personal data being collected continues to grow. So what can we do to make sure that protecting our privacy doesn’t become unmanageable?

As I wrote in my recent book, How AI and Quantum Impacts Cyber Threats and Defenses, as we humans use AI more and more, AI will begin to communicate with itself using new AI-only communication methods that humans cannot easily see or read. If there is no human-readable audit trail or code, this is a very, very bad thing. It must be stopped at all costs. Humans are absolutely beginning to use AI more and more to do things they used to do manually. Soon, we will all be using multiple AI agents.

More than 90% of successful cyberattacks start with email, according to the U.S. Cybersecurity and Infrastructure Security Agency (CISA). That’s not because security teams lack tools, but because attackers target human decision-making. For years, organizations treated email security as a filtering problem: block enough malicious messages, and risk goes down. That assumption no longer holds.

On May 21, 2019, LinkedIn’s URL shortener went down. The certificate had expired. Millions of people cried out in terror when they couldn’t click on AI link bait. The interesting part: LinkedIn had renewed the certificate ten days earlier. The renewal succeeded. The certificate just never made it to the server. The renewed cert existed somewhere, but the server still served the old one. Most certificate automation is built to prevent the “I forgot to renew” problem.

AI pentesting has been making waves and rivals the power of human hackers in ways we weren’t expecting. But frequently, companies are looking for pentesting to achieve and support their compliance certifications.

Read the takeaways from ConFoo 2026, including putting guardrails where requests happen, auditing tool calls, treat dependency updates like production access.

Agentic AI does not just answer, it acts. The moment an agent has a reachable control plane, you have effectively created a “remote hands” interface into your environment. In our recent blog post, “When AI Can Act: Governing OpenClaw,” we explained why this shift breaks old security assumptions and why governance must be continuous, enforced, and context-aware rather than a one-time checklist.

A polymorphic virus is one of the hardest types of malware to detect because it can change into different forms. Because these advanced threats can modify their code in specific ways, they are very hard for standard signature-based antivirus systems to detect. Polymorphic viruses, on the other hand, use dynamic code encryption and mutation engines to alter their code structure, making them even harder to detect. The need for strong defenses has never been greater as hackers continue to use these methods.