AI Landscape Radar · how it works
Source categories
The 6 categories of public sources AgentProof watches to keep its methodology current.
AI regulation and standards
EU AI Act, national AI regulation, ISO/IEC AI standards, sectoral guidance.
Example public sources
- EU AI Act consolidated text
- NIST AI Risk Management Framework
- ISO/IEC 42001 (AI management systems)
- Sector-specific AI guidance (financial, health, public sector)
Review cadence: Curated review quarterly; emergency for material updates. (target; reviews are human-led and on demand)
AI vendor / platform changes
Model releases, API breaking changes, deprecations, new safety modes.
Example public sources
- Official model release notes (OpenAI, Anthropic, Google, Microsoft)
- Deprecation calendars
- Safety-mode documentation
Review cadence: Curated review monthly. (target; reviews are human-led and on demand)
Agent security + misuse patterns
Prompt injection patterns, tool-use exploits, jailbreaks, agent runaway behaviour.
Example public sources
- Peer-reviewed agent-security research
- Vendor security advisories
- Documented incident write-ups
Review cadence: Curated review monthly; emergency for active exploits. (target; reviews are human-led and on demand)
Enterprise governance trends
Internal AI governance models, control frameworks, audit expectations.
Example public sources
- Industry analyst frameworks
- Peer enterprise governance write-ups
- Audit & assurance professional bodies
Review cadence: Curated review quarterly. (target; reviews are human-led and on demand)
Microsoft / Power Platform agent guidance
Publicly documented Microsoft agentic AI guidance (no endorsement implied).
Example public sources
- Microsoft Learn — Power Platform guidance
- Microsoft Copilot Studio documentation
- Microsoft Trust Center publications
Review cadence: Curated review monthly. (target; reviews are human-led and on demand)
Cross-provider agent frameworks
Open-source + commercial agent frameworks (LangChain, LlamaIndex, AutoGen, etc).
Example public sources
- Framework release notes
- Reference architecture changes
- Notable third-party integrations
Review cadence: Curated review monthly. (target; reviews are human-led and on demand)