01 · Red-teaming for deployed AI agents
We attack your live agent, escalate until it breaks, and prove what happened. You get the report and the fixes.
02 · The method
A real adversary. Not a prompt list. It reads each reply, picks a tactic, and escalates until your agent gives.
01
A chat widget, an API, an MCP server. We connect the same way your users do. No source code. No SDK.
02
The attacker escalates across turns, chains context from earlier replies, and hunts for the one action you never wanted taken.
03
An independent judge, from a different AI family, rules on every conversation. The attacker never grades its own work. A finding is a fact.
Recon · Your attack surface
We map the whole surface. Then we break the one path that gives.
03 · Proof, not vibes
A report full of false alarms dies in security review. So we prove what actually happened. We say how sure we are. You choose the proof tier.
Tier 0 · Text
The agent said something it shouldn't. Nothing installed, nothing granted.
Tier 1 · Effect
The agent said it acted, and an effect fired on your side.
Tier 1e · Canary
The agent touched a honeypot record we planted. Real proof, even from a widget.
Tier 2 · SDK
Klira SDK installed. Every tool call on record. The strongest proof there is.
04 · The deliverable
Built for whoever asks if your agent is safe: a buyer's security review, your board, your own customers. Every finding maps to the frameworks that matter, and to the fix that closes it.
Closes with → Klira SDK outbound tool-intent block + pre-commit human review.
The number a founder forwards and a reviewer understands in one glance.
Point us at your agent. In days, you hold the report your buyer is waiting on. The first look is free.