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.
The Kill Chain models how an attack succeeds. The Attack Helix models how the offensive baseline improves. Tipping Points One person. Two AI subscriptions. Ten government agencies. 150 gigabytes of ...
The path traversal flaw, allowing access to arbitrary files, adds to a growing set of input validation issues in AI pipelines.
It's not even your browser's fault.
We’ve explored how prompt injections exploit the fundamental architecture of LLMs. So, how do we defend against threats that ...
This article is authored by Soham Jagtap, senior research associate, The Dialogue.
Harness field CTO reveals 46% of AI-generated code contains vulnerabilities. Learn how to secure your SDLC with multi-layered ...
The moment AI agents started booking meetings, executing code, and browsing the web on your behalf, the cybersecurity conversation shifted. Not slowly, but instead overnight.What used to be a ...
Attackers are now actively exploiting a critical vulnerability in Fortinet's FortiClient EMS platform, according to threat intelligence company Defused.
Large language models are inherently vulnerable to prompt injection attacks, and no amount of hardening will ever fully close that gap. The imbalance between available attacks and available ...
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