Authentication Failures (A07) show the largest gap in the dataset: a 48-percentage-point difference between leaders and the field. Leaders fix at nearly 60%, while the field sits at roughly 12%.

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 ...

Semgrep, a leading code security company, today announced Semgrep Multimodal, a system that combines AI reasoning with rule-based analysis for detection, triage, and remediation. Its detection finds ...

We’ve explored how prompt injections exploit the fundamental architecture of LLMs. So, how do we defend against threats that ...

A critical SQL injection flaw in FortiClient EMS allows remote code execution and data exfiltration, leaving thousands of ...

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

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

Agentic AI introduces new security risks. Learn how the OWASP Top 10 Risks for Agentic Applications maps to real mitigations ...

Large language models are inherently vulnerable to prompt injection attacks, and no finite set of guardrails can fully protect an LLM from adversarial prompts.

Attackers are now actively exploiting a critical vulnerability in Fortinet's FortiClient EMS platform, according to threat intelligence company Defused.