
Your AI is a blind spot
in your infrastructure.
Static scanners are obsolete. We pressure-test production agents against autonomous adversarial swarms before they reach the attack surface.
The Reality of Scale.
You're deploying autonomous agents into production. It's terrifying because an LLM isn't just software—it's infrastructure. And infrastructure fractures under pressure when poisoned by zero-days.







Attackers map the entire context window to extract exfiltration vectors your WAF cannot see.

The Human Element
Attackers aren't static scripts. They are human engineers rapidly iterating against your guardrails.

Adversarial Fuzzing
Generative adversarial payloads manipulate the LLM's thought-action loop, breaking it out of its sandbox.

Context Severing
We mimic human ingenuity, finding prompt injections that sever context isolation in multi-agent networks.

Data Bleed
The agent unknowingly encodes PII and proprietary logic into outbound webhooks.

Of production enterprise LLMs fall to our autonomous swarms within the first 48 hours of testing.
Autonomous Security Posture
- PROMPT INJECTIONVULNERABLE
- CONTEXT LEAKAGESECURE
- DATA EXFILTRATIONCRITICAL
- RAG MANIPULATIONSECURE