As enterprises rapidly embrace multimodal AI capable of understanding both text and images, security researchers are discovering that these powerful new capabilities introduce equally sophisticated ...

Security tooling is not written in a single language. Python powers most automation. C sits at the exploit layer. PowerShell ...

LangChain and LangGraph patch three high-severity flaws exposing files, secrets, and conversation histories Vulnerabilities included path traversal, deserialization leaks, and SQL injection in SQLite ...

Most SaaS teams remember the day their user traffic started growing fast. Few notice the day bots started targeting them. On paper, everything looks great: more sign-ups, more sessions, more API calls ...

Enterprise security teams are losing ground to AI-enabled attacks — not because defenses are weak, but because the threat model has shifted. As AI agents move into production, attackers are exploiting ...

There’s a well-worn pattern in the development of AI chatbots. Researchers discover a vulnerability and exploit it to do something bad. The platform introduces a guardrail that stops the attack from ...

Python remains the top choice for scripting, automation, and penetration testing in cybersecurity. Rust and Go are gaining traction for building secure, memory-safe, and high-performance systems. C ...

The dynamic nature of containers can make it challenging for security teams to detect runtime anomalies or pinpoint the source of a security incident, presenting an opportunity for attackers to stay ...

Privacy professionals are responsible for ensuring personal data is handled securely, and understanding the types of databases that store it, including NoSQL ...