Research signals on advanced AI systems, agents, tool use, evaluation, alignment pressure, capability boundaries and deployment discipline.
Signals are grouped by domain tags and point to the closest L2ET instrument or framework for immediate follow-through.
Evaluation plans should test task success, refusal boundaries, tool-use failure, deception pressure, escalation behavior and monitoring before production use.
Frontier AI, AI Governance
open related instrument →Tool-using systems should define permitted actions, forbidden actions, approval gates, logs, rollback and emergency disable paths before business use.
Frontier AI, Agentic AI, AI Governance
open related instrument →Retrieval poisoning, source decay, prompt injection, citation failure and index contamination are separate failure paths and should be tested separately.
AI Governance, RAG Security
open related instrument →Use-case intake, risk classification, data cards, evaluation results, release decisions and monitoring evidence are the practical substrate of AI oversight.
AI Governance, Standards and Regulation
open related instrument →Reference frameworks should be connected to actual artifacts, owners, controls and review gates rather than treated as decorative checklists.
Standards and Regulation, AI Governance
open related instrument →These links open the most relevant instruments referenced by the signals above.
Plans capability, safety, robustness and deployment evaluations for frontier or agentic AI systems.
open tool → related instrumentCreates an allow/deny permission-boundary architecture for tool-using AI systems.
open tool → related instrumentMaps contamination paths from source material through retrieval into model output and downstream action.
open tool → related instrumentMaps an AI use case to the governance evidence required before approval, release or expansion.
open tool → related instrumentCreates a stronger matrix across AI, cyber, resilience, PQC and evidence frameworks.
open tool →