The State of AI Security 2026 is here →
You'll find useful content about AI security, the cybersecurity landscape, news, events and much more updated regularly here.
The frameworks are not the hard part. Proving that what you actually run lines up with them, on the day someone asks, is.
In 2025, AI is revolutionizing our cyber landscape and changing everything we know about cybersecurity. Luckily, the NIST AI Risk Management Framework is here to help. Join us for an in-depth exploration of the AI RMF, which is updated for the present landscape.
Researcher Viktor Markopoulos discovers ASCII Smuggling bypasses human audit via Unicode, enabling enterprise identity spoofing and data poisoning on Gemini & Grok.
The OWASP Top Ten Risks for LLMs is a comprehensive list for security researchers to assess vulnerabilities in AI models. Today’s blog will dive in-depth into item 7: System Prompt Leakage.
Once again, Docker APIs are a target of threat actors in a new method of attack dating back to June 2025, or even earlier. Research is ongoing.
Resource Policies let you set automated guardrails for your AI resources, catching changes and policy violations the moment they happen. They help teams reduce risk, enforce governance, and maintain continuous compliance without manual effort.
Agentic AI is introducing new risks to cybersecurity worldwide. The OWASP Top 10 Risks for LLMs breaks down the biggest risks in the landscape. Today’s blog will tackle #LLM06: Excessive Agency.
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