Sitemap

Agents

Agents: 21 pages

Agents pages
Page	What it covers
AI Agent Types	AI agents in 17 types and three classes: physical, personal and ambient, and software.
AI in Public Infrastructure	Face recognition, plate readers and camera networks in public space.
AI Medical Devices	Cleared and approved AI software that reads images, flags conditions and alerts patients.
AI Wearables	Glasses, rings and watches with cameras, microphones and health sensors.
Ambient Sensor Systems	Cameras, microphones and screen recorders that analyze people without being asked.
Autonomous Trucks and Platoons	Driverless heavy trucks on Texas highways, Chinese ports and oil fields.
Coding and Research Agents	Agents that write code, run shell commands and research on their own.
Connected Vehicle Cabin AI	Assistants, cameras and data pipelines inside the car.
Drones and Uncrewed Aircraft	Delivery, public safety and military drones flying beyond the pilot's line of sight.
Enterprise Autonomous Agents	Agents acting inside corporate systems with company credentials.
Humanoid Robots	Two-legged robots working in factories and warehouses, with first home units shipping.
Industrial Robots and Cobots	Robot arms and mobile robots on factory floors, alone and beside workers.
Multi-Agent Fleets and Swarms	Many agents under one controller: warehouse fleets, robotaxi fleets, drone swarms.
Personal and Ambient Agents	Agents on the body, in the home, in the car and in public space.
Phones and Tablets with AI Agents	Assistants that read the screen and act inside other apps.
Physical AI Agents	Agents that move, lift and fly in shared space.
Robotaxis and Autonomous Vehicles	Driverless passenger service on public roads in the US, China and the Gulf.
Smart Home and Voice Assistants	Speakers, displays and cameras that listen, watch and now act.
Software Agents	Agents that act in code, business tools, payments and corporate systems.
Transaction and Commerce Agents	Agents that shop, check out and pay on a user's behalf.
Workflow and Orchestration Agents	Agents wired into business tools through MCP, A2A and connector platforms.

Incidents

Incidents: 2 pages

Incidents pages
Page	What it covers
Incident Registry	Every incident in the registry, with the agent, failed control, rule and regulator response.
Incident Reporting Rules and Registries	US, EU and China · Physical, personal and software agents · Aviation and cybersecurity models

Risks

Risks: 28 pages

Risks pages
Page	What it covers
AI Agent Risks	What can go wrong when AI agents act: harms to people, data risks and how risk is managed.
A Thousand Cuts	Many small intrusions and failures adding up to infrastructure risk.
Agentic Misbehavior	Agents acting against instructions, deceiving or resisting control.
AI Risk Management	The frameworks organizations use to find, rate and treat AI risk.
AI Risk Tiers	How laws and labs sort AI systems into risk levels.
Autonomy and Human Safety	Deaths and injuries when automated driving and driver assistance fail.
Convenience as Attack Surface	Features that trade safety for ease: auto-approve, always-on and one-click trust.
Critical Infrastructure Compromise	AI agents in and against grids, water systems, pipelines and telecom.
Cyber-Physical Compromise	Hacking cars, robots and devices to cause effects in the physical world.
Data Risks for AI Agents	Risks to the data agents capture, move, learn from and update with.
Data Transit Security	Data moving between devices, clouds, agents and tools.
Fleet-Scale Attacks	One compromise or fault that hits every agent sharing the same software.
Human Risks from AI Agents	Harms to people from agents that drive, move, persuade, watch and act.
Impersonation	Deepfake voices and video used to defraud, coerce and mislead.
Manipulation and Coercion	Companion chatbots and agents that persuade, flatter and foster dependence.
Model Update Integrity	Tampered model weights, files and updates reaching deployed agents.
Multi-Agent Misuse	Risks when many agents interact: coordinated failure, collusion and influence networks.
OT and ICS Telemetry Deception	False data fed to industrial control systems and the AI that reads them.
Physical Agents as a Regulatory Category	Why robots, vehicles and drones get rules of their own.
Physical Safety	Injuries from robots, machines and agents that move in shared space.
Supply Chain of Updates	Poisoned packages, tools and servers that reach agents through updates.
Surveillance	Agents and devices that watch, identify and track people.
Surveillance Data Harvesting	Bulk collection and sale of the data agents and devices gather.
Telemetry Capture Integrity	Falsified or misused sensor, location and vehicle data at the point of capture.
The Autonomous Crime Economy	Criminals using AI agents, drones and automation to scale fraud and intrusion.
The OTA Loop as Attack Surface	Over-the-air update channels that fix fleets and can also break them.
Training Data Poisoning	Planting backdoors and falsehoods in the data models learn from.
Weaponization	Autonomous drones, AI targeting and model uplift toward weapons.

Controls

Controls: 9 pages

Controls pages
Page	What it covers
AI Agent Controls	The engineering safeguards that bound what AI agents can do, in eight disciplines.
Access Control and Permissions	What an agent can reach, with which credentials, on whose authority.
Behavioral Envelopes	Hard limits on what an agent can do, enforced where its reasoning cannot reach.
Consent and Capture	What always-on cameras and microphones record, signal and keep.
Human Oversight	Human authority to approve, intervene and stop, in the loop, on the loop and over it.
Identity and Cryptographic Attestation	Proving which device, model, agent and person is behind an action.
Monitoring and Anomaly Detection	Seeing agent failures and misuse while they are happening.
OT and ICS Integration	How AI agents connect to factory, grid and pipeline control systems.
Telemetry Integrity	Keeping the sensor, location and log data that agents act on trustworthy.

Security and Trust

Security and Trust: 11 pages

Security and Trust pages
Page	What it covers
AI Security and Trust	Whether AI agents can be trusted: security, safety, alignment, transparency and accountability.
Accountability	Who answers when an AI agent causes harm.
AI Cybersecurity	Securing AI systems, and AI used to attack and defend.
Alignment	Whether models pursue the goals their developers intend.
Bias and Fairness	Unequal outcomes from AI in hiring, credit, benefits and pricing.
Ethics	The principles governments, institutions and companies set for AI.
Explainability	Explaining what an AI system decided and why.
Failure Modes	How AI systems and agents fail: hallucination, miscoordination and misreporting.
Model Safety	Testing frontier models for dangerous capabilities before release.
Red Teaming	Attacking AI systems on purpose to find failures before others do.
Transparency	What developers disclose about their models, data and risks.

Governance

Governance: 9 pages

Governance pages
Page	What it covers
AI Governance	The laws, courts, treaties and standards that govern AI agents.
Criminal Law and AI	Crimes committed with AI, and who is liable when an agent acts.
Critical Infrastructure Policy	Rules for AI in grids, water, transport and the data centers AI runs on.
International Coordination	Summits, UN bodies, treaties and safety institute networks.
Liability and Product Law	Who pays when AI causes harm, and under which law.
Personal Data and Surveillance Law	Privacy law as it applies to AI models and agents.
Regulatory Frameworks	How the EU, China, the US and others regulate AI.
Standards Bodies	Who writes the technical standards AI laws depend on.
White House Superintelligence Accord	The September 2026 industry pledge on frontier AI controls, and what followed.

Compliance

Compliance: 15 pages

Compliance pages
Page	What it covers
AI Compliance	What organizations must do to meet AI rules, and how regulators enforce them.
AI Audits	Internal audit of AI systems and the logs that make audit possible.
Auditable Documentation	The records AI rules require developers and deployers to keep.
Conformance and Certification	Testing and certification schemes that show an AI product meets a standard.
EU AI Act Conformity	How high-risk AI and general-purpose models show they meet the AI Act.
Human-in-the-Loop Oversight	Human review as a legal requirement, and whether it works.
Insurance and Underwriting	How insurers cover, price and exclude AI risk.
ISO/IEC 42001	The certifiable management system standard for AI.
NIST AI RMF in Practice	How agencies and companies apply the NIST AI Risk Management Framework.
Notified Bodies	The third parties that will certify high-risk AI in the EU, and their counterparts elsewhere.
Penalties and Fines	What AI-related enforcement has cost companies so far.
Regulations and Standards	Which AI compliance duties take effect when.
Sector Compliance Gaps	Where sector rules for AI agents are missing or uneven.
Third-Party AI Audits	Independent testing and assurance of AI systems.
UL 4600 and AV Safety Cases	The safety case standard for autonomous vehicles and how regulators use it.

Workforce

Workforce: 1 page

Workforce pages
Page	What it covers
AI and the Workforce	How AI agents and robots are changing jobs, and the rules that respond.

Site

Reference and site pages

Record

Page Record

Machine-readable: sitemap.xml
Not listed: Individual incident records (incident.php?ID=), which are linked from the Incident Registry
Last verified: October 2026