Enterprise AI Assurance Checklist
Pre-deployment checklist for enterprise AI systems. Maps to EU AI Act, NIST AI RMF, ISO 42001, and HIPAA - the exact controls auditors look for.
Download PDFResources
Everything we publish about enterprise AI assurance: practitioner research, audit evidence, and platform help.
Original analysis on LLM vulnerabilities, attack techniques, regulatory frameworks, and defense strategies - from practitioners who test AI systems daily.
Real-world outcomes across EU compliance, Singapore financial services, and US healthcare. Evidence of what the platform produces in production.
Guides, quick-start walkthroughs, and FAQs covering the platform, connectors, billing, and External Auditor Seats.
The evidence your procurement, legal, and audit teams need - in one place.
Dual hash-chained ledger, External Auditor Seats, RBAC, encryption, and responsible-disclosure programme - in one page.
SOC 2, penetration test summaries, sub-processor list, and DPA template - available on request or via direct link.
The complete list of third-party sub-processors AgenticAssure engages to deliver the Service, with data-residency notes.
Practitioner-built PDFs you can hand to your CISO, audit partner, or board. No gate, no email wall.
Pre-deployment checklist for enterprise AI systems. Maps to EU AI Act, NIST AI RMF, ISO 42001, and HIPAA - the exact controls auditors look for.
Download PDFHow to build, scope, and run an AI red-team programme. 34 attack techniques (29 single-turn + 5 multi-turn jailbreaks), refusal-aware judging, and reporting templates.
Download PDFVulnerability-by-vulnerability breakdown of the 2025 OWASP LLM Top 10 with detection, exploitation, and defence guidance for each risk class.
Download PDFHow frameworks, incidents, and buyer expectations shifted once agents and RAG became default architecture.
Read article ResearchWhy vision, audio, and document pipelines expand the attack surface, and how to test them.
Read article EngineeringMove beyond vanity metrics: refusal quality, utility loss, and robustness measured the way attackers stress your stack.
Read articleTrust layer for enterprise AI