AI SECURITY RESEARCH · PRACTITIONER GUIDANCE
Published research, incident analysis, regulatory context and practitioner guidance. Each article should be read with its stated sources, scope and limits.
Open to read · Publication counts below reflect the published records currently available on this site.
Check the publication ID and date, the source basis, the claim being made and its limits. A published article does not by itself establish an assessment, certification or finding about a particular system. Corrections should remain visible and point to the current authoritative version.
PUBLICATIONS
The catalog includes the published WordPress records available on this site. Search matches titles, article text, publication IDs, tags and recorded evidence-basis fields. Category and year narrow the results; sort changes their order. A match is a retrieval result, not an endorsement or evidence-tier judgment.
ODA3-2026-05-INS-032
HOST 2026 discussions on AI chip security underscore the need to extend certi cation controls to hardware and supply chain layers. Aligning with NIST SP.
Read publication →ODA3-2026-05-INS-034
AI systems are engineered for longevity. Training datasets, netuning corpora, serialized model weights, and agent communication records often retain.
Read publication →ODA3-2026-05-INS-035
Emerging litigation around AI-generated misinformation underscores the need to align generative AI governance with NIST AI RMF transparency controls.
Read publication →ODA3-2026-05-INS-036
AI-driven vulnerability discovery initiatives like Project Glasswing are accelerating the identi cation of legacy and zero-day aws across critical.
Read publication →ODA3-2026-05-INS-037
Target Audience: Compliance O cers, CISOs, Quality Managers Category: Standards / Certi cation Strategy Read the ODA3 Institute analysis and practical.
Read publication →ODA3-2026-05-INS-038
AI-discovered vulnerabilities in long-standing codebases expose gaps in legacy system governance. Aligning patch management and secure SDLC practices with.
Read publication →ODA3-2026-05-INS-039
Recent breach data showing AI involvement in 83% of global incidents requires organizations to align incident response and detection controls with NIST SP.
Read publication →ODA3-2026-05-INS-040
The deployment of AI agents in financial work ows requires alignment with NIST AI RMF reliability controls, ISO/IEC 42001:2023 auditability requirements.
Read publication →ODA3-2026-05-INS-041
Growing workforce concerns around AI deployment in sensitive contexts highlight the need to align AI governance with ISO/ IEC 42001:2023 human oversight.
Read publication →ODA3-2026-05-INS-042
Recent scans exposing over one million insecurely deployed AI services underscore a critical gap in AI governance. Aligning deployment practices with.
Read publication →ODA3-2026-05-INS-043
Organizations building AI governance programs face a strategic question: Do you align with NIST AI Risk Management Framework (AI RMF) 1.0, pursue ISO/IEC.
Read publication →ODA3-2026-05-INS-044
Target Audience: AI Governance Leads, General Counsel, CEOs (Executive level – no unexplained acronyms) Category: Regulatory / National Security
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