Secure Autonomy. Audit-Ready AI. Built for Oversight.
We engineer agentic AI systems with identity bound controls, immutable telemetry, and human approval gates—so enterprises and public sector programs can adopt autonomy with confidence.
Where Labs Engineering Focuses
Six core domains where we translate research into production ready, audit grade systems.
Secure Agent Orchestration
Multi agent workflows with approval gates, role based permissions, and audit trails for every autonomous action.
Orchestration blueprints with policy enforcement layers and human oversight hooks.
Policy Driven Tool Access
Tool registries with granular permission boundaries—agents only invoke functions they're authorized to execute.
Tool permission schemas, access control matrices, and runtime enforcement configs.
Continuous Evaluation + Drift Monitoring
Automated safety harnesses that detect prompt injection, jailbreak attempts, and policy violations in production.
Eval suites with red team scenarios, regression gates, and drift detection dashboards.
Retrieval + Evidence Citation
RAG systems that track provenance—every answer cites its source documents with immutable lineage.
Citation backed retrieval pipelines, document versioning, and audit ready evidence packs.
Model Routing + Risk Posture
Intelligent routing across hosted APIs and open weight models based on cost, latency, and data sensitivity.
Model selection decision trees, cost/latency tradeoff matrices, and vendor risk assessments.
Identity Centric AI Operations
Every AI interaction tied to user identity—MFA, conditional access, and least privilege enforcement at the model layer.
Identity integration patterns, access logs, and zero trust AI architecture diagrams.
From Research to Production
A repeatable, evidence first process that turns secure autonomy concepts into deployable systems with audit ready artifacts.
Discovery & Boundary
Map the problem space, define control boundaries, and establish success criteria. No vague requirements—we document what autonomy is allowed, where data can flow, and who approves exceptions.
- Threat model with abuse cases mapped to mitigations
- Data flow diagrams with sensitivity classification
- Control boundary definitions (what's in/out of scope)
Threat Modeling & Control Mapping
Identify attack vectors (prompt injection, data exfiltration, privilege escalation) and map them to preventive, detective, and response controls. Every risk gets a mitigation or an acceptance decision.
- STRIDE/DREAD threat analysis with risk scoring
- Control mapping to compliance frameworks (NIST, SOC 2, FedRAMP)
- Risk register with ownership and remediation timelines
Secure Build & Telemetry
Engineer the system with guardrails baked in—tool permissions, approval gates, identity-bound access, and event logging that captures every autonomous action for audit reconstruction.
- Production-ready codebase with security hooks
- Immutable telemetry pipeline (structured logs, trace IDs)
- Runbooks for incident response and rollback
Validation & Evidence Pack
Test for safety failures (red-team prompts, edge cases, policy violations) and package evidence artifacts: test results, control effectiveness proof, and audit-ready documentation.
- Safety eval suite with pass and fail criteria and regression gates
- Evidence pack (control tests, approval workflows, log samples)
- Executive readout with risk posture and signoff checklist
Operate (ConMon Posture)
Deploy with continuous monitoring—anomaly detection, drift alerts, and policy breach notifications. Operations teams get dashboards, alerting, and forensic tools for ongoing oversight.
- ConMon dashboards with real-time safety metrics
- Alerting thresholds for policy violations and anomalies
- Forensic playbooks for incident investigation
Enterprise + Public Sector
Secure autonomy engineering for regulated environments and government missions—delivered by specialist pods with evidence first outputs.
Public Sector
FedRAMP aligned readiness and NIST first engineering for federal agencies and state governments. We deliver System Security Plans (SSPs), AI RMF implementations, and Zero Trust architectures with 3PAO ready evidence packs.
Enterprise
Secure autonomy for regulated industries (healthcare, finance, critical infrastructure). We engineer agentic systems with guardrails, approval gates, and immutable telemetry—so AI can operate at scale without sacrificing control.
Specialist pods, global bench: LYFYE Labs operates a pod based delivery model with access to 1,000+ vetted specialists (independent contractors and partner firms). We assemble 3 to 5 expert teams per engagement to ensure domain expertise, capacity, and accountability.