Your AI agent has production access, API keys, and the power to act. Is that safe?

We secure the AI agents you put into production: scoped, least-privilege, accountable for every action. Safe Autonomy from an engineer who built a safe agent before he offered to secure anyone else's.

Shipped

an AI vulnerability-triage agent, built and secured, running in production

CISSP

certified security engineering (ISC²)

14 years

building software, the last several securing it

Before founding Atypical, our founder built an AI vulnerability-triage agent at a large enterprise software company. It worked through a backlog the team could never clear by hand, cut manual review dramatically, and (the part that mattered) got engineers trusting the results instead of drowning in noise.

Your agents are already shipping. The credentials are real, the actions are real, and most of them run on trust nobody tested.

Atypical Tech secures the AI agents you put into production. The method is the one our founder built and proved on his own agent: scope what it can reach, give it its own least-privilege identity, and make every action it takes observable and attributable, so it can do its job without becoming your next incident.

Give an agent your credentials and you've handed it your blast radius.

This is the security problem nobody had two years ago and everybody has now. An agent isn't a script you reviewed once. It's a new actor that uses judgment, making its own decisions from whatever context it's handed, with your access and at machine speed. We treat it like one.

We didn't arrive at agent security from theory. Our founder arrived by building one.

At a large enterprise, a new SAST scanner surfaced more vulnerabilities than the team could ever work through, a backlog no one could clear, and an engineering org too buried to act on it. So he built an AI agent to triage them: read each finding, gather the context a human would, score the real risk. It used judgment, not a fixed script. That's what made it an agent.

And he built it safely. A finding is untrusted input, so a poisoned one could try to prompt-inject the agent into acting outside its job: the confused-deputy problem, where the agent becomes the attacker's hands. It never got the chance: the agent had its own least-privilege identity and its own keys, scoped to exactly one job, so a hijacked call had nowhere to pivot.

Manual review fell away and the noise drained with it, but the part that mattered was trust. Once engineers saw how much the agent filtered out, they trusted what came through. He built a safe agent before he offered to secure anyone else's, and that's exactly the approach he'll bring to yours.

Noise doesn't just waste time. It teaches people to ignore the alarm.

Safe Autonomy isn't a slogan. It's a framework called ROBOT.

Role, Objectives, Boundaries, Observability, Taskflow. Five constraints that decide whether an autonomous system is production-ready or an incident with a countdown. It's the standard our founder built his own agent against, and the one we'll hold yours to.

The safer the agent, the more you can let it do.

The same skills that secure an agent secure everything around it.

Agent security sits on top of years of harder, less glamorous work: threat modeling, secure code review, DevSecOps pipelines, the automation that turns noisy signals into decisions. It's really security fundamentals pointed at a faster-moving target, which is why the new problem is in good hands: fourteen years building software, the last several securing it.

AppSec consulting

Threat modeling, secure code review, remediation guidance.

DevSecOps

Security gates that don't slow the pipeline.

Security architecture

Trust boundaries mapped before production.

Intelligent automation

Triage and review pipelines that cut the noise.

This isn't only proof for the agent work. We still take it on directly, for teams who need it.

One engineer, fourteen years, one obsession: making powerful systems safe to ship.

Sayo Ogunlegan, CISSP, founder of Atypical Tech

Atypical Tech is led by Sayo Ogunlegan, CISSP, a full-stack engineer who became a security engineer and now secures AI. The person who'll scope your agent has already built one, secured it, and earned engineers' trust with it.

Two ways to start before you ever talk to us. The Safe Autonomy Readiness Checklist below is the agent-specific one: a short self-check on whether your agent is scoped, identity-bound, and observable. The free security scan further down is the other side of what we do: a fast read on your web attack surface, not your agents.

Safe Autonomy Readiness Checklist

43 items across 9 sections: everything you need to evaluate before deploying an AI agent to production. Built on the ROBOT framework and informed by NIST AI RMF, OWASP LLM Top 10, and ISO 42001.

Get the checklist →

See what attackers see: free web security scan

This one's for your web attack surface, not your agents. Enter your domain and we'll run a one-time security health scan covering DNS records, security headers, TLS configuration, and tech stack detection, delivered straight to your inbox.

Free scan includes DNS records, security headers, TLS configuration, and tech stack detection. Limited to 3 scans per day. Results delivered via email.

Your agent already has the keys. The only open question is whether anyone scoped what it can do with them.