AI Security LLC is a consulting-led AI security engineering practice.
We help teams secure LLM apps, RAG systems, agents, copilots, and AI workflows through Workbench-backed engagements that map systems, test failure modes, harden controls, and produce evidence buyers and auditors can trust.
What you'll find here
- Consulting-led AI security engagements
- SecEng Workbench, our tool-backed delivery system
- Public research and field guides that support the method
- Public-safe portfolio proof
- Trust, contracts, and evidence-handling policies
Make AI security engineering a first-class discipline
The field of AI security is fragmented — vendor marketing drowns out practitioner signal, job requirements vary wildly across organizations, and most teams lack the vocabulary to even describe what they need.
Our mission is to build the evidence base, the shared vocabulary, and the practitioner infrastructure that turns AI security from a vague concern into a named, structured, deliverable discipline.
Every AI product ships with security baked in, not bolted on
We envision a world where AI security engineering is treated like software engineering — with hiring standards, training pipelines, role definitions, tooling, and governance practices that are legible, auditable, and improvable over time.
SecEng Workbench is the tool-backed delivery system we use during engagements. The report, handbook, and field guide support the shared vocabulary behind the work.
How we work
Four principles
Practitioner-led
Every deliverable is produced by engineers who've shipped AI products in adversarial environments — not analysts who brief on them.
Evidence-based
Claims are anchored to ground-truth data: 300,000+ job descriptions, practitioner surveys, and independently citable sources.
Open research
The State of AI Security Engineering Report, the Field Guide, and the Red Journal are public assets — no paywalls on foundational knowledge.
Built with the community
The taxonomy, findings, and benchmarks are shaped by practitioners in the field — a discipline-level effort, not a vendor narrative.