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 ...

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

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

Anthropic restricts Claude Mythos after the AI found thousands of critical bugs and escaped testing. Learn why it's too ...

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 ...

Apple Intelligence's on-device AI can be manipulated by attackers using prompt injection techniques, according to new ...

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

By combining indirect prompt injection with client-side bypasses, attackers can force Grafana to leak sensitive data through routine image requests.

Israel’s campaign targeting Hezbollah in Lebanon has been a source of tension in the U.S.-Iran cease-fire. Israeli and Lebanese officials plan to meet for rare talks in Washington this week.

Executive summary Forest Blizzard, a threat actor linked to the Russian military, has been compromising insecure home and ...