Four engagement shapes for teams building AI across IoT/OT, private 5G, cloud, and the agent harness in between.
For engineering teams integrating LLMs into regulated or high-assurance product builds.
Largely automated SSDLC pipelines map your AI stack to attestable controls: input sanitization, model provenance, output integrity, agent policy.
A fractional product security leader embedded in your engineering org, running an automated SSDLC underneath.
We operate as your vCISO for the AI surface: threat models, SBOMs, agent policies, and attestations produced by an agentic harness we run alongside your team.
Your multi-agent pipelines, RAG systems, and orchestration layers carry implicit trust boundaries that most security reviews miss.
We audit tool-call surfaces, memory injection vectors, and inter-agent authorization — then deliver a hardened harness design and the agentic controls to enforce it.
Product development lifecycle leadership for autonomous and lights-out manufacturing environments deploying AI decision agents.
We run a fractional PDLC function across your dark factory stack — IoT/OT signal, private 5G transport, cloud inference, and the AI harness — with inference reliability, fail-safe governance, and human-override integrity kept attestable by an automated SSDLC.
Structured, risk-calibrated engagements. No bloated retainers. We enter with a defined scope, produce artifacts your engineers and auditors can actually use, and exit with an ongoing governance cadence sized to the risk of the system — not the size of the invoice.
Every engagement produces attestable output: a dossier, a threat model, a hardened reference architecture. Outcomes first.