AI governance and safety
Runs the policies, reviews, and documentation that keep AI systems compliant with internal standards and new AI regulation.
Also called: responsible AI, AI risk management, AI Act compliance, model governance, AI safety
How the score was computed
- News signal0.58
News signal 0.58: 3 verified article(s) mention this skill, weighted by how recent they are, source type, and evidence level (1.74 of 3 needed for a full signal). Strong means at least 0.4.
- JD signal6%
JD signal 0.06: 0 of 16 job descriptions require it and 2 prefer it (preferred counts 0.5). Strong means at least 35%.
- Momentum+0.92
Momentum +0.92: 2 article(s) in the last 30 days vs 1 in the 180 days before, compared per day.
In the news 5
- ServiceNow and Nvidia launch Arc, a new AI agent for enterprise
ZDNET · Trade press · Oct 21, 2026
“IT defines policies in the Super Intelligence Control Tower”
Strong evidenceAI-generated · Shift ExtractionIT teams define agent policies, risk tolerance, and allowed services centrally in a control tower, using AI Passport rules that are enforced at runtime and allow later audit of contained actions.
- Managing open-weight model risk in enterprise deployments
Microsoft Azure Blog · Primary source · Oct 16, 2026
“introduces a shared risk taxonomy and an approach to managing model risks”
Strong evidenceAI-generated · Shift ExtractionMicrosoft and NVIDIA published joint guidance with a shared risk taxonomy that tells enterprises to tie each model risk to evaluations, mitigations, and accountable owners.
- Managing open-weight model risk in enterprise deployments
Microsoft Azure Blog · Primary source · Oct 16, 2026
“built-in and custom evaluations and automated red teaming”
Strong evidenceAI-generated · Shift ExtractionMicrosoft Foundry offers built-in and custom evaluations, automated red teaming, and configurable content-safety controls for assessing and mitigating model risk.
- Managing open-weight model risk in enterprise deployments
Microsoft Azure Blog · Primary source · Oct 16, 2026
“enterprises that operate their own model deployments may take on controls”
Moderate evidenceAI-generated · Shift ExtractionEnterprises that run their own open-weight model deployments may take on safeguards that a managed service would otherwise provide, so ownership of controls must be defined and revisited as deployments change.
- Making Your Data Ready for Agentic AI
martinfowler.com · Blog · Aug 27, 2026
“Access must be scoped, controlled, and auditable.”
Moderate evidenceAI-generated · Shift ExtractionAgent decisions need to be traceable and governed, with captured reasoning and access that is scoped, controlled, and auditable by design.
In job postings 2
- Figmapreferred
Technical Program Manager - AI Tooling · Mid (5+ yrs) · captured Oct 27, 2026
“Experience with responsible AI, model governance, security, privacy, compliance”
- Scale AIpreferred
Technical Program Manager, Red Team · Mid · captured Oct 27, 2026
“Genuine interest in AI safety, evidenced in prior work, writing, or research.”
Waiting for an editor (not counted yet)
- Emerging trends in AI agent evaluation: The article calls for an expanded and more diverse set of evaluators and notes a growing influx of people entering the AI evaluation ecosystem.
- Extractor confidence 0.60 is below 0.7; evidence level is Weak
- ServiceNow and Nvidia launch Arc, a new AI agent for enterprise: Inadequate security controls are described as a main roadblock to companies adopting more autonomous AI systems, which is driving security-first agent offerings.
- Extractor confidence 0.65 is below 0.7; evidence level is Weak