We build autonomous AI agents that do the work.
We design, build and run AI agents for real use cases, with a human on the decisions that matter. Our flagship agent, Vyra, finds Critical vulnerabilities in production systems. We bring the same engineering to yours.
The loop every ThreatVet agent runs, with a human on verify.
Proof, not a pitch
The agent we built, in the field.
Vyra is the agent we run in production today. It has surfaced Critical and High vulnerabilities across authorized bug-bounty and coordinated-disclosure programs. That is the bar every agent we build is held to.
Findings Vyra surfaced in authorized bug-bounty and coordinated-disclosure programs; report identifiers are shown as filed, and most remain under program disclosure terms. Program names and marks belong to their owners; a reported finding does not imply affiliation with or endorsement by these organizations.
How we run an AI security engagementAgents we build
Start with the use case. Vyra is the one we operate today; the rest we scope and build for you, on the same engineering.
Security and red-team agents
in productionAutonomous testing across web, API, cloud and AI systems. Vyra is the one we run; we can build one scoped to your stack.
AI red-team agents
built to orderAgents that attack your LLM and agentic stack: prompt injection, tool and agent abuse, data exfiltration, mapped to the OWASP LLM Top 10 and MITRE ATLAS.
Recon and intelligence agents
built to orderContinuous discovery and monitoring of an external attack surface, so a new exposure is caught when it appears rather than at the next annual test.
Custom domain agents
built to orderA workflow that needs judgement at machine speed? Bring the use case. We design the loop, wire the tools, and set the guardrails.
How we build an agent
The same loop you see running in the hero: scope, build, act, verify. Autonomy expands coverage. A human keeps judgement in the loop.
- 01
Scope the use case and the guardrails
What the agent may touch, what it must never do, and what a good outcome looks like. Limits first.
- 02
Build the loop on proven tools
Browser automation, intercepting proxies, your own APIs, orchestrated through one control layer.
- 03
Autonomy where it is safe
The agent runs the broad, repeatable work. A human stays on the decisions that carry risk.
- 04
Verify every action
Nothing is trusted on the agent's word. We prove the outcome, the way we prove a finding.
- 05
Run, measure, improve
We operate it, watch it, and tighten the loop as the surface and the use case change.
Why build with us
We run our own agent in production
Vyra is not a slide. It tests real systems on real engagements and has surfaced Critical findings. We build agents because we operate one.
Practitioner-led engineering
Ten-plus years in offensive security, preceded by years building software. The people who scope your agent can read the codebase it runs against.
Honest about autonomy
Automation is good at breadth and bad at judgement. We say so, and we keep a human on the calls that matter. That is the whole design.
Bring us a use case.
Tell us the workflow and where judgement is needed. We will tell you honestly whether an agent is the right tool, and scope it if it is.