SERVICE / AI AGENT ENGINEERING
AGENTS YOU CAN VERIFY. BLAST RADIUS YOU CAN BOUND.
Agents built to be inspected: review allocated by risk, every action attributable to a named agent scope, irreversible moves decided outside the model. The same harnesses that run in Orithos ship in client engagements — and the probe library behind them is public.
HOW WE VERIFY AGENT-WRITTEN CODE
Passing tests prove the code does what it says it does — not that it is the right thing to have built. Four controls catch what a green build does not:
- Review allocated by risk — core logic is read line by line by a human; everything else passes versioned quality rules and a reviewer-agent loop that keeps filtering until nothing potentially harmful remains. A filter, never the approver. CHECK: review sits on the critical path — roughly a third of the delivery cycle on our own builds, growing with complexity.
- Scope and identity per agent — each agent runs with its own declared role, tool permissions and guardrails; nothing inherits access by default. CHECK: the scope table — what each agent may do, and what it explicitly may not.
- Reversibility before autonomy — irreversible actions are decided outside the model at a named human checkpoint, with versioned state so any change can be walked back. CHECK: the reversibility table — every workflow classified reversible, gated, or one-way.
- Accountability with a name on it — one named human is accountable for each high-blast-radius path, and sensitive code and data stay inside your boundary on self-hosted models. CHECK: the boundary list, written into the engagement scope.
WE DON’T JUST CONSULT ON AI. WE BUILD AND RUN IT.
Our AI security platform Orithos automatically subjects language models and agent workflows to continuous adversarial pressure tests—scanning for prompt injections, system prompt extraction, model manipulation, and ungrounded hallucinations across OWASP LLM 2025, MITRE ATLAS, and NIST AI RMF standards. The 124-probe library behind it is public.
HOW WE ARCHITECT AGENTIC SYSTEMS
We structure multi-agent topologies into strict hierarchical and directed acyclic graph (DAG) state machines. No infinite reasoning loops, no uncontrolled token burns, and full checkpoint persistence.
TELL US WHAT’S AT STAKE
Fifteen minutes with the engineer who built Orithos is enough to tell you whether — and where — we can help.