Automated Agent Inventory
Identify autonomous agents, LLMs, and datasets across your tenant — from sanctioned deployments to unknown shadow tools.
- Microsoft 365 & Azure AI
- AWS Bedrock & Custom LLMs
M365 • Azure AI Foundry • AWS • 3rd Party
As organizations pivot from simple chatbots to autonomous Agentic AI, visibility has become the primary barrier to safety. Most enterprises are operating with an "AI Blindspot"—unaware of the autonomous agents, models, and third-party plugins interacting with their sensitive data.
Without discovery, there is no governance. Infotechtion's AI Hub delivers an agent discovery solution as a "central Agent registry", moving you from manual questionnaires to automated, graph-based visibility.
A comprehensive, automated approach to discovering, governing, and monitoring every AI agent across your enterprise.
Discovery & Inventory
Complete AI landscape visibility
Automated agent inventory across Microsoft 365, Azure AI Foundry, AWS Bedrock, custom LLMs, and third-party environments. Real-time scanning for sanctioned and unsanctioned AI components.
Graph-Based Governance
Inherited risk & policy management
Replace repetitive GRC questionnaires with a Knowledge Graph. Every agent automatically inherits risks and policies from the models and data it uses, with standardized "Agent Cards" for profiling.
Regulatory Compliance
UK & EU regulatory alignment
Automated population of ATRS records, risk assessment against the five UK AI White Paper principles, and tiered risk classification aligned with the EU AI Act.
You cannot govern what you cannot find. Our platform scans your environment to create a real-time inventory of all sanctioned and unsanctioned AI components.
Identify autonomous agents, LLMs, and datasets across your tenant — from sanctioned deployments to unknown shadow tools.
M365 • Azure AI Foundry • AWS • 3rd Party
Uncover "Shadow Agents" — unvetted AI tools used by employees that bypass standard security controls.
Copilot Plugins • GPT Wrappers • Custom Agents
Use the Saidot-powered Knowledge Graph to see how agents are connected to specific models, datasets, and business processes.
Knowledge Graph • Saidot • Lineage Mapping
Traditional GRC tools rely on slow, repetitive forms. Infotechtion replaces this with Graph-Based Governance, allowing agents to automatically inherit risks and policies from the models and data they use.
Every agent governed automatically — no forms, no gaps, no drift.
Our discovery solution is mapped directly to the UK Government's regulatory requirements, ensuring that your AI adoption is defensible and transparent.
Automatically populate the Cabinet Office Algorithmic Transparency Recording Standard (ATRS) with technical data discovered by our platform.
Cabinet Office • ATRS • Transparency
Risk assessment on discovered agents evaluating adherence to the five core principles: Safety, Transparency, Fairness, Accountability, and Contestability.
Safety • Transparency • Fairness • Accountability
Build an evidence vault that satisfies GDS Service Standard audits and NCSC secure AI development guidelines.
GDS • NCSC • Evidence Vault • Audit Ready
Managing the lifecycle of your data shouldn't be a manual burden. Automate the journey from creation to destruction.
A single, visible repository for all AI use cases across the global organization to eliminate "scattergun" governance.
An enterprise Agent and LLM library enabling your developers to use authorized models which have gone through AI governance and DPIA process.
Every discovered agent is automatically profiled with a standardized "Agent Card," defining its autonomy level, data access rights, and authority limits.
Maintain a continuous, traceability and evidence vault for every agent and model in your inventory, ready for audits.
Integrated telemetry on agent activities, user interactions, and data access to detect anomalies and behavioural drift automatically.
Align your discovery with Gartner's AI Trust, Risk, and Security Management (TRiSM) framework to ensure adversarial robustness and model explainability.
AI and agent risk assessment against industry regulations and custom assessments tailored to an enterprise AI governance standards.
Maintain Agent and model lifecycle by automatically quarantining the use of inactive agents as per your AI governance policies.
Automatically tier agents into risk categories (Unacceptable, High, Limited, Minimal) as defined by the EU AI Act.
How a leading financial institution leveraged Infotechtion to discover, classify and protect sensitive data across their enterprise.
Read Case StudyHow a leading UK insurance provider transformed their data governance to enable secure and compliant AI adoption.
Read Case Study