Indirect prompt injection lets attackers bypass LLM supervisor agents by hiding malicious instructions in profile fields and contextual data. Learn how this attack works and how to defend against it.

Legacy web forms used for clinical trial recruitment, adverse event reporting, laboratory data collection, and regulatory ...

A flaw in the EngageLab SDK exposed 50 million Android users, allowing malicious apps to exploit trusted permissions and ...

“RSAC estimates that there were at least 200 million Apple Intelligence-capable devices in consumers’ hands as of December ...

Harness field CTO reveals 46% of AI-generated code contains vulnerabilities. Learn how to secure your SDLC with multi-layered ...

A now corrected issue let researchers circumvent Apple’s restrictions and force the on-device LLM to execute ...

A newly disclosed vulnerability reveals how AI assistants can become invisible channels for data exfiltration — and why ...

AI lets you code at warp speed, but without Agile "safety nets" like pair programming and automated tests, you're just ...

Don't throw away those notices! Data breaches can harm your credit, empty your bank account and compromise your identity.

Anthropic deems its Claude Mythos AI model too dangerous for public release due to its powerful ability to find critical ...