Safety · Concept
AI Safety and Security Technical Debt (AITD)
Taxonomy of 31 AI technical debt types reinterpreted through AI TRiSM, linking latent pipeline debts to safety and security risk.
Forecast horizon
Safety debt registers may enter enterprise AI risk and assurance practice.
Connections
Connections · 3
How this node ties into the rest of the map, and the evidence behind each link.
from · constrains 3/10
ECAISA: Epistemic Code for AI Safety and Alignment ECAISA’s demand for independent verification and worst-case epistemic norms would force earlier repayment of latent safety/security debts.
+3 growth to · applies to 3/10
NIST AI Risk Management Framework (AI RMF) AITD taxonomy is explicitly guided by AI TRiSM trust/risk/security management principles akin to RMF operationalization.
+3 growth to · informs 3/10
AI Resilience Framework: Operational Resilience for AI-Dependent Firms AITD taxonomy links latent data/model/ops debts to safety and security failures in high-stakes AI systems.
+3 growthSignal sources
Signal sources
Dated facts from primary sources in this direction.
US evaluation centre Jun 2025
In June 2025 the US AI Safety Institute was renamed the Center for AI Standards and Innovation (CAISI), pivoting toward security, standards and adversary-model assessment.
NIST → Frontier safeguards May 2025
Anthropic activated its ASL-3 deployment and security standard with Claude Opus 4 on 22 May 2025 — the first real-world trigger of a responsible-scaling tier, focused on blocking bio-weapon uplift.
Anthropic → Cross-border testing 2025
The International Network of AI Safety Institutes (launched Nov 2024) ran a third joint testing exercise focused on agentic AI systems across cyber and fraud strands.
European Commission — AI Office →