The open-source project maps directly to OWASP’s top 10 agentic AI threats, aiming to curb issues like prompt injection, ...

The OWASP Top 10 for LLM Applications is the most widely referenced framework for understanding these risks. First released in 2023, OWASP updated the list in late 2024 to reflect real-world incidents ...

In recognition of 21 GenAI risks, the standards groups recommends firms take separate but linked approaches to defending ...

In an increasingly interconnected digital world, web applications are the backbone of online services. With this ubiquity comes a significant risk: web applications are prime targets for cyberattacks.

Large language models are inherently vulnerable to prompt injection attacks, and no finite set of guardrails can fully ...

2021 saw a major revamp of the OWASP top 10 most critical and severe application security risks. The first article in this series examined the new methodology that OWASP used to derive its ranking.

Indirect prompt injection represents a more insidious threat: malicious instructions embedded in content the LLM retrieves ...

SecureIQLab's AI Security CyberRisk Validation Methodology v1.0 is the first independent test plan designed to measure ...

According to a report released by Akamai earlier this year, API calls now represent 83% of all web traffic. Web-enabled applications already have 40% of their attack surface in the form of APIs ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...