Stop Guessing, Start Governing
The time it takes to read this blog, an agent is activated in your network — leaving behind a privileged, non-human identity that no one owns, no inventory records, and no meaningful audit trail follows. Multiply that by every team, across four clouds, every week. That is the shape of the problem the AI Agent Discovery & Shadow AI Visibility solution is built to solve.
Unlike traditional software, agents act autonomously, span Microsoft, Azure, AWS and open-source ecosystems at once, and inherit broad permissions to get their work done. The result is agent sprawl: sanctioned-but-ungoverned tools, shadow agents nobody registered, and a widening gap between what your security team can see and what is executing against your data.
You cannot govern what you cannot see. So the first job is not policy — it’s discovery.
A single control panel for all AI and agents
The AI Observer is the control tower. Instead of four consoles and a spreadsheet that’s already out of date, it presents the entire AI estate on one screen — discovered, scored, and continuously refreshed. The headline tiles answer the questions a CISO actually asks first: how many agents exist, how many are live against our data, how many are compliant, and how many are dangerous right now.
The control tower. A single, live view of the AI estate — total agents discovered, active connections to corporate data, compliance pass-rate, and high-risk agents surfaced at a glance.
This is the move from guesswork to inventory — and it is the precondition for everything else. The day discovery runs, an organisation that could not name its agents has a definitive, owned list of them.
A living, cross-cloud catalogue — every agent, scored
Drill in, and each agent becomes a card. Crucially, the source is named, not guessed: Microsoft Marketplace, Azure, AWS Bedrock, Hugging Face. Each card carries a colour-coded risk level, a compliance state, the connection status, and an owner — so a security lead can filter to, say, every high-risk, unowned agent that is connected to data, which is exactly the population worth acting on first.
The agent inventory. Every agent across every source, with risk, compliance state, connection and owner on a single card — and filters to isolate the agents that matter.
Regulatory posture, checked automatically — per agent
Here is the capability that sets the Observer apart. Under every agent sit the controls you are accountable for, evaluated automatically as discovery runs:
EU AI Act verification against high-risk criteria — pass, warn or fail, with the reason on hover. GDPR posture for personal-data handling and lawful basis, per connection. Privacy exposure for data-residency and sharing, flagged before an agent is ever approved. The important word is automatically: posture is re-evaluated continuously, so what you see is current — not a snapshot from an audit six months ago.
Governance posture on the card. The EU AI Act, GDPR and Privacy checks render as live pass / warn / fail signals — the answer to a regulator’s first question, ready before they ask it.
Analytics that compose a worklist, not a report
The Observer doesn’t just count compliant agents. It breaks the estate down by source and risk, then surfaces the agents that need a human: the non-compliant, the unowned, the ones with failed checklist items. Read together, the numbers are a prioritised queue — every figure on screen is a task with an owner attached.
Analytics built for action — distribution by source and risk, compliance status, ownership gaps and checklist failures, each one a route to remediation.
The missing signal: what are these agents actually touching?
An inventory tells you the agents exist. It does not, on its own, tell you the thing that keeps risk owners awake: what data each agent is reaching, whether that data is sensitive, and whether the access falls outside the agent’s prescribed scope. That signal comes from the other half of the platform — Sensitive Data Discovery.
The Infotechtion Sensitive Data Discovery feature classifies sensitive information — financial records, personal data, trade secrets — wherever it lives, and reports where that data is most over-exposed. Wire that into the Observer and the inventory stops being a list of agents and becomes a map of agents against the data they touch.
HOW THE TWO SOLUTIONS COMBINE
Discovery answers which agents. Sensitive Data Discovery answers what they’re allowed to see — together they close the loop.
The practical payoff is precise. For any agent, the Observer can now show the data types it processes and raise a flag when an agent reaches sensitive or overshared content beyond the scope it was approved for — the marketing assistant that can suddenly see finance records, the support bot pulling from an over-permissioned site. That is the difference between knowing an agent exists and knowing it is about to become an incident.
Most discovery tools hand you a list of agents. The Observer, fed by Sensitive Data Discovery, hands you a list of agents mapped to the sensitive data they touch and the access that exceeds their scope — the context that turns an inventory into enforceable control.
Integrated with Microsoft Security platform, enables you to integrate the preventative and remediation tasks directly into your existing security solutions.
Microsoft Security-native
The architecture choice is what makes this credible at enterprise scale. The Infotechtion platform integrates with Microsoft Security Solutions: it inherits your existing sensitivity labels, classifications and licensing rather than duplicating them in yet another silo — then it reaches into the clouds, where, as the analytics show, most agents actually live.
Cross-cloud discovery
One inventory spanning Microsoft, Azure, AWS Bedrock and open-source hubs — no blind spots between consoles.
Built on Microsoft Security
Reuses your labels, classifications and controls — extending the investment you already run, not replacing it.
Data-aware risk scoring
Sensitive Data Discovery telemetry sharpens every agent’s risk score with the data it touches and the scope it exceeds.
Governance as an operating model
Ownership, remediation and continuous re-evaluation run as repeatable workflows — and produce audit evidence.
Data Posture Management and remediation are Infotechtion’s core craft — the disciplines AI governance is now built upon. The Observer is where that heritage meets the agentic era: a single control panel that doesn’t just find your AI, but governs it.
Infotechtion is an independent data and AI posture governance SaaS platform, supporting global organisations successfully navigate digital transformation by aligning people, processes, and technology.
Infotechtion platform and services give enterprises one continuous view of sensitive-data and AI risk across their entire estate — and the controls to remediate it.
Infotechtion platform provides native integration with leading vendors, including Microsoft Purview and Microsoft Agent365.
Your next step
See your own AI estate in a structured discovery workshop
Run discovery against your real environment and walk away with a governed agent inventory, a risk heatmap, a per-agent EU AI Act / GDPR / Privacy posture, and a prioritised remediation plan — built on the Purview you already own.