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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.
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Research, evidence, and platform help
Everything we publish about enterprise AI assurance: practitioner research, audit evidence, and platform help.
Content
Where to find what you need.
News
Company announcements, partnerships, and platform milestones — including our AI Verify Foundation membership.
Blog
Original analysis on LLM vulnerabilities, attack techniques, regulatory frameworks, and defense strategies - from practitioners who test AI systems daily.
Reference scenarios
Composite scenarios based on EU AI Act Annex IV, HIPAA Security Rule, and OWASP LLM Top 10 control requirements. Illustrative outcomes, not customer results.
Reports
Strategic briefings and interactive research on defensive AI, Chinese LLM economics, and enterprise governance. Flagship briefing by email; Chinese LLM report open access.
Help center
Guides, quick-start walkthroughs, and FAQs covering the platform, connectors, billing, and External Auditor Seats.
Trust & compliance
Security documentation.
The evidence your procurement, legal, and audit teams need - in one place.
Security overview
Dual hash-chained ledger, External Auditor Seats, RBAC, encryption, and responsible-disclosure programme - in one page.
Audit & assurance evidence
SOC 2, penetration test summaries, sub-processor list, and DPA template - available on request or via direct link.
Sub-processors
The complete list of third-party sub-processors AgenticAssure engages to deliver the Service, with data-residency notes.
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Guides, playbooks & checklists.
Practitioner-built PDFs you can hand to your CISO, audit partner, or board. No gate, no email wall.
PDF 230 KB · ~18 pages
AI Red-Teaming Playbook
How 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.
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OWASP LLM Top 10 (2025) Explained
Vulnerability-by-vulnerability breakdown of the 2025 OWASP LLM Top 10 with detection, exploitation, and defence guidance for each risk class.
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View all posts Research from the practitioners.
Singapore FSI
MAS MindForge practitioner guide
FEAT, 17 Considerations, seven risk dimensions, and a 90-day playbook for Singapore FSI. Written for model risk and compliance teams preparing for thematic review.
Read article Industry trendsThe State of AI Security 2025
How frameworks, incidents, and buyer expectations shifted once agents and RAG became default architecture.
Read article ResearchNew attack vectors in multi-modal AI
Why vision, audio, and document pipelines expand the attack surface, and how to test them.
Read article EngineeringBenchmarking LLM guardrails
Move beyond vanity metrics: refusal quality, utility loss, and robustness measured the way attackers stress your stack.
Read articleAgenticAssure · AI Governance & Assurance
Trust layer for enterprise AI