You'll find useful content about AI security, the cybersecurity landscape, news, events and much more updated regularly here.
Researcher Viktor Markopoulos discovers ASCII Smuggling bypasses human audit via Unicode, enabling enterprise identity spoofing and data poisoning on Gemini & Grok.
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Our modern “Software as a Service” model is becoming a challenge for cybersecurity teams within large enterprises, as attacks continue to rise in volume and complexity across the cyber realm. Security needs to be a consideration from code to cloud, or any progress we make will be undone just as quickly.
OWASP’s Top 10 for LLM is a good starting point for teams to learn about AI security risks. In this series, we’ll go over each risk and practices to protect against them. Today, we’re tackling LLM02: Sensitive Information Disclosure.
FireTail, the leading AI & API security platform, has released its annual report, The State of AI & API Security 2025, revealing a critical blind spot in the way organizations are securing their AI investments. Despite record-breaking AI adoption, the report warns that most enterprises are overlooking the most exposed part of the AI stack: the API layer.
The AI race is driving developers to release more and more AI models in competition and security teams are struggling to keep up. So how do we continue to innovate at this speed, while still ensuring the security of our AI models?
It’s here! The New CIS Guide for API Security provides teams with actionable steps for their own API security postures. API use is skyrocketing with the recent adoption of AI, and security teams are struggling to keep up with the rising threats. That’s where the CIS Guide comes in.
API security is a critical issue, especially with the rise of AI, which runs on APIs. So how do we ensure consistent API security in an age of growing threats? In this blog, we’ll go over one of the most critical enabling aspects of API security: API specifications.