AI Security
Find Where Your Agents Fail,
Then Prove the Fix Holds
Test agentic AI security with black-box attacks, fix weaknesses with policy, and prove each fix by replaying the attack.
Pen Tests End in a PDF.
Red Teaming Delivers a Fix.
A traditional penetration test produces a report. Findings sit in a PDF, fixes arrive weeks later, and no one replays the attacks to confirm they’re closed. Agents from vendors or no-code platforms are often never tested at all, because there’s no code to scan.
Lumenova AI red teaming attacks the running agent the way an adversary would, using templates built on OWASP LLM Top 10, MITRE ATLAS, and OWASP Agentic, with no code access needed.
Every finding carries its evidence, becomes a policy, and closes only when the replayed attack is blocked.
Capabilities
The Red Team – Blue Team Loop
Find weaknesses, turn them into policy, and prove each one is closed, with attackers and defenders working from the same record.
Black-Box Probes
Probe any agent’s HTTP endpoint, including vendor and no-code agents, with bearer, header, or mTLS credentials and nothing installed.
Evidence-Backed Findings
Capture each weakness with its severity, class, run count, and exact request and response. Fold repeat sightings into the same finding.
Finding-to-Policy Drafts
Draft a policy from a finding’s evidence in one click, validated against the Policy Engine before anyone reviews and activates it.
Replay Verification
Replay the attacks that worked. On a linked, instrumented application, attach the policy decision that blocked each replay as proof.
Security Judges
Detect indirect prompt injection, multi-turn manipulation, excessive agency, and data exfiltration with built-in judges.
Session Hunts
Run the judges over past sessions to find attacks you missed, and turn on live monitoring for new sessions.
Shared Findings Ledger
File confirmed detections in the same ledger as probe findings, so every weakness closes through the same path.
Untested Category Flags
Report attack categories a target can’t exercise as untested, never as passed, so coverage gaps stay visible instead of looking like a clean result.
How a Finding Closes
Probe
Black-box probes attack the running agent through its endpoint, with credentials you supply.
Finding
Each weakness is recorded with its severity and the request and response that proved it.
Policy
A draft policy is written from the finding's evidence, validated, and activated by a person.
Replay
The attacks that worked are replayed against the fixed agent.
Not verified
The finding isn't marked verified until the replayed attacks fail.
Receipt
On a linked, instrumented application, the policy decision that blocked each replay is attached to the finding.
Frequently Asked Questions
No. Probes treat the agent as a black box and reach it through its HTTP endpoint, using bearer, header, or mutual TLS credentials. Nothing is installed on the target.
Yes. Because probes need only an endpoint and credentials, you can test vendor-hosted and no-code agents alongside the ones you build. Make sure you have authorization from the vendor before testing their systems.
Probes use red team templates built on OWASP LLM Top 10, MITRE ATLAS, and OWASP Agentic. Built-in security judges detect indirect prompt injection, multi-turn manipulation, excessive agency, and data exfiltration.
A pen test ends in a report. Here, each finding carries the exact request and response that proved it, turns into a draft policy, and closes only when the attack is replayed and blocked, so you know the fix works.
No. It drafts a policy from a finding’s evidence in one click and validates it against the Policy Engine. A person reviews and activates it before it takes effect.
Replay the attacks that succeeded. On a linked, instrumented application, the policy decision that blocked each replay is attached to the finding as proof.
Yes. Run the security judges over past sessions to hunt for attacks you missed. You can also turn on live monitoring for new sessions.