We don’t just build AI — we secure it.
AI is now part of your attack surface and your defense. We cover all three fronts — we build AI into your business, we attack it the way a real adversary would, and we run AI-driven hunting to defend you at machine speed.
Your AI is a new attack surface.
Every chatbot, copilot, and autonomous agent you ship is a door an attacker can knock on — prompt injection that hijacks instructions, RAG pipelines that leak the data behind them, over-privileged tools an agent can be tricked into abusing. The OWASP LLM Top 10 catalogues these for a reason: they are already being exploited in the wild. We red-team your AI against all of them with real proof-of-concept, harden what you build before it ships, and turn AI into a defender on your side — CrowdStrike Falcon paired with autonomous hunting agents that work your endpoints, network, and cloud at machine speed. Build, break, defend: the same operators across all three.
What’s included.
Build it, break it, defend with it — the full AI security lifecycle.
Secure the AI You Deploy
We red-team your LLM apps, chatbots, and agents the way a real attacker would — prompt injection and jailbreaks, RAG and training-data leakage, model and API abuse, and tool/agent misuse — mapped to the OWASP LLM Top 10.
Build AI, Secured by Design
We build the AI — assistants, RAG pipelines, agents, automations — and harden it as we go: guardrails, input/output validation, least-privilege tool access, and adversarial evaluation before anything ships.
AI-Powered Defense
CrowdStrike Falcon paired with our autonomous threat-hunting agents — continuously hunting your endpoints, network, and cloud at machine speed, so threats get caught and contained faster than any human-only SOC.
Locked-Down by Default
No soft underbelly. Source lives in GitHub Enterprise — secret scanning on, signed commits, full audit trail. Every dependency gets vetted in real time by Socket, so malicious and typosquatted packages die at the gate instead of in your stack. Infrastructure is reachable only across a Tailscale zero-trust mesh, and access is key-only SSH — no passwords, no exposed ports, nothing left hanging in the wind.
Frequently asked questions.
Can you test an LLM or AI agent for security issues?
Yes. We red-team LLM apps, chatbots, copilots, and autonomous agents the way a real attacker would — prompt injection and jailbreaks, RAG and training-data leakage, model and API abuse, and tool/agent misuse — mapped to the OWASP LLM Top 10, with proof-of-concept for every finding.
Do you build AI, or just test it?
Both. We build AI into your business — assistants, RAG pipelines, agents, automations — and harden it as we go with guardrails, input/output validation, least-privilege tool access, and adversarial evaluation before anything reaches production.
What is the OWASP LLM Top 10?
It's the industry-standard list of the most critical security risks in large-language-model applications — things like prompt injection, insecure output handling, training-data poisoning, and excessive agency. We test your AI against every category rather than theorizing about them.
Find your gaps before they do.
Book a no-pressure consult with an operator — we’ll tell you straight where you’re exposed and what to fix first.