aisecurity.llc

AI Security Labs

Hands-on skills validation and practical evidence generation for AI Security Engineering.

Labs

The skills-validation gap becomes a product

Prompt Injection and RAG Security Lab

Direct and indirect prompt injection, retrieval poisoning, context leakage, source attribution, access control, and evidence capture.

Agent Security Control Lab

Tool-call authorization, sandboxing, approval gates, telemetry, rollback, audit trails, and blast-radius management.

Governance Evidence Lab

Map NIST AI RMF, ISO 42001, OWASP LLM, MITRE ATLAS, and internal AI policy to engineering artifacts.

Hiring Calibration Lab

Decompose AI security roles, rewrite job descriptions, build interview loops, and design practical skills validation.

New Lab Surface

LLM Attack Range

Scenario execution, generation/media abuse tracking, and control-evidence readiness in one dedicated dashboard.

Open range page

CISO survey

Help validate the job-description signals

The survey adds operating-model context from security leaders. Responses are intended for anonymized aggregate analysis.

Open survey
The State of AI Security Engineering Report 2026