Attack your own AI before someone else does
NoFly fires real attack techniques at your guardrails, agents, MCP servers and policies on a schedule. Anything that gets through becomes a new protection, and the attack is replayed until it fails.
- Scenarios mapped to MITRE ATLAS and the OWASP LLM and Agentic Top 10s
- Attack paths across agents, tools and credentials, with the one fix that cuts most
- Every breach turned into a protection, then replayed to confirm it holds
Which of my defences actually hold when someone attacks them?
Guardrails are trusted, not tested
A guardrail that was switched on is assumed to work. Few teams ever send a real attack through it.
Techniques change every week
New jailbreaks, poisoned tools and hand-off tricks appear faster than any yearly pen test.
Findings rarely become fixes
A red-team report lists what failed. Weeks later, the same attack still works.
Attack in practice.
Each part below is shown the way it looks and works in the product.
What was tested, and what held
Every technique the engine can fire, grouped by framework: held, got through, or not tested yet. Untested is shown as untested, never as a pass.
- MITRE ATLAS, OWASP LLM and OWASP Agentic side by side
- A versioned, hashed attack library
- An evolutionary mode that breeds new variants
The chain an attacker would walk, and where to cut it
NoFly links agents, tools, keys and data into paths an attacker could follow, marks the ones its engine actually walked, and names the single change that severs most of them.
- Walked paths shown apart from modelled ones
- The fix that cuts the most paths ranked first
- Re-checked after the change
Every breach becomes a protection
When an attack gets through, NoFly drafts a signature from it. It has to fire on zero benign samples and catch variants it was not built from before a person can accept it.
- Goes live without a redeploy
- The same attack is replayed to confirm it now fails
- Rules that never fire are surfaced for removal
What most tools do, and what NoFly does.
Everything in Attack.
We attack your agents and controls like an adversary, then turn every breach into a defence.
A1Nine kinds of target
Your guardrail, a model, a live agent, an agent’s policy, hand-offs, MCP and install controls, your own rules, attack paths and any HTTP endpoint.
A2A versioned attack library
Single-shot scenarios, multi-turn campaigns and payload mutations across evasion techniques.
A3Breaches become protections
A new signature must fire on zero benign samples and catch variants it was not built from.
A4Reproduce, then prove prevention
A finding’s exploit is replayed in a sandbox, then again with the control on. Prevented only counts when the refusal was observed.
A5Attack paths
Chains across agents, tools and credentials. Paths the engine actually walked are marked apart from modelled ones.
A6Rules that earn their keep
Per-rule precision, rules that never fired, and a backtest against your own history before a rule starts blocking.
A7Gates in CI
Fail the build when an agent regresses, and review what a coding agent is about to build before it builds it.
Questions about Attack.
Security team ›Do attacks run against production?
Security team ›How do new protections avoid false positives?
Find out what your AI is allowed to do today.
Book a call and we will map your agents, MCP servers and keys with you, or start on one laptop with the free scan.