How indirect prompt injection attacks on AI work - and 6 ways to shut them down ...

Security leaders must adapt large language model controls such as input validation, output filtering and least-privilege access for artificial intelligence systems to prevent prompt injection attacks.

Today’s AI models suffer from a critical flaw. They lack human judgment and context that makes them vulnerable to what security researchers call “prompt injection attacks.” What are prompt injection ...

AI agents are now being weaponized through prompt injection, exposing why model guardrails are not enough to protect ...

Organizations need to internalize a simple principle: Calling an LLM API is a data transfer. You're trusting the provider ...

Microsoft research shows prompt-based attacks can bypass LLM safety guardrails and extract restricted information. GRPO safety training can be reversed via GRP-Obliteration using a single malicious ...

Penetration tests of AI systems expose significantly higher severe-flaw density when compared to legacy apps. New attack ...

Read more about Agentic AI red teaming could become essential for securing future AI systems: Here's why on Devdiscourse ...

The use of agentic orchestration in security-critical workflows without multi-layered defense architecture can lead to ...

Forbes contributors publish independent expert analyses and insights. Zak Doffman writes about cybersecurity, surveillance and privacy. This voice experience is generated by AI. Learn more. This voice ...

An attacker used a gifted NFT and crafted prompt to drain $150K from Grok's Bankr wallet, with 80% now returned.

Researchers from the National University of Singapore have proposed a three-pronged defense framework to counter jailbreak exploits targeting large language models (LLMs). The strategies include ...