Govern every AI agent before it becomes your next audit risk.
AgentGuardian is an AWS-native AI Agent Governance and Evidence Platform for regulated enterprises. Discover every AI agent, classify risk, monitor behaviour, enforce policy, and generate audit-ready evidence packs — for risk, compliance, security, and regulators.
What is AgentGuardian?
AgentGuardian is an AI Agent Governance and Evidence Platform. It gives risk, compliance, security, and AI teams one place to answer the questions every regulator, auditor, and board is starting to ask.
Which AI agents are running?
Complete, continuous inventory across AWS, Azure, GCP, SaaS, and on-prem — including shadow agents nobody registered.
Who owns them?
Every agent assigned an owner, business unit, and risk tier — so accountability is never ambiguous.
What can they access?
Tool, system, and data-access map per agent — visible to risk, security, and engineering in one place.
What policies control them?
Policies for data access, tool use, human approval, and prohibited actions — enforced at runtime, not in a wiki.
How are they evaluated?
Continuous testing for quality, safety, prompt injection, leakage, and policy compliance — not a one-off review.
What evidence can we show?
Signed, timestamped, regulator-ready packs — produced on demand, defensible to audit and the board.
AI agents are moving into production. Governance is not keeping up.
Agent sprawl
AI agents are being built by business teams, vendors, and engineering teams — without a single inventory or owner.
Invisible risk
Agents call tools, access data, trigger workflows, and make recommendations — but traditional monitoring does not show full agent risk.
Weak evidence
When audit or regulators ask for proof, most teams still rely on screenshots, spreadsheets, logs, and manual explanations.
AgentGuardian gives you a single governance record for every AI agent — from discovery to evidence.
Know every agent. Control every action. Prove every control.
When a regulator, auditor, or board asks “show me every AI agent and prove it is controlled,” AgentGuardian gives you the answer.
Know every agent.
Discover agents, owners, tools, data access, vendors, and risk level — across AWS, Azure, GCP, SaaS, and on-prem.
Control every action.
Monitor behaviour, enforce policies, evaluate continuously, and detect unsafe or non-compliant agent activity in production.
Prove every control.
Generate audit-ready evidence packs for risk, compliance, internal audit, and regulators — signed, timestamped, defensible.
One platform to discover, govern, evaluate, and evidence.
Five modules sit inside a single platform, drawing on shared services — policy compiler, regulatory packs, identity, evidence engine. One contract. One UI.
Discover
Find every agent and map owner, purpose, tools, data, vendor, and risk tier.
Govern
Apply policies for data access, tool use, human approval, and prohibited actions.
Evaluate
Continuously test agents for quality, safety, prompt injection, leakage, and policy compliance.
Monitor
Track runtime behaviour, exceptions, incidents, drift, and abnormal agent activity.
Evidence
Generate regulator-ready packs for internal audit, risk committees, and external reviews.
From the first assessment, here’s what lands on your desk.
Concrete deliverables, in your hands within weeks. Not a slide deck. Not a strategy document.
Same platform. Different lens.
Each persona sees the data they need, shaped for the work they do.
See regulatory exposure, control gaps, and evidence readiness in one view.
Monitor prompt injection, tool misuse, data leakage, and abnormal agent behaviour.
Track agent quality, eval results, traces, failures, and release readiness.
Access timestamped evidence, approvals, policies, exceptions, and control history.
View agent risk, adoption, incidents, and readiness for board reporting.
Built on AWS. Designed for regulated deployment.
AgentGuardian extends AWS-native services instead of replacing them. Customer data stays inside the customer-controlled AWS environment.
Bedrock AgentCore native
Built on Bedrock AgentCore for agent runtime, identity, memory, gateway, policy, observability, and evaluation.
Customer-controlled deployment
Runs inside your VPC. Supports sovereign deployment models for banks, public sector, defence, and critical industries.
Your data, your account
Customer data stays in the customer-controlled AWS environment. Customer-managed KMS keys. Bedrock traffic over VPC endpoints.
Integrates with what you already run
AWS KMS, CloudTrail, Security Hub, Lake Formation. Marketplace procurement — existing AWS commit (EDP) applies.
Four ways to get started.
Every path leads to the same enterprise-wide governance posture. Start at the maturity that fits your team today.
Agent Sprawl Assessment
For enterprises that need to understand what agents already exist — and what risk they carry.
Governance Pilot
For teams that want to govern one high-risk workflow or business unit, end to end.
Enterprise Governance Platform
For organizations ready to govern agents across business units, vendors, and jurisdictions.
Sovereign Deployment
For banks, public sector, healthcare, defence, and critical industries that need customer-controlled or sovereign environments.
Procurement via AWS Marketplace — Private Offers and Channel Partner Private Offers supported. Existing AWS commit (EDP) applies.
We build agentic AI you can defend to a regulator.
Glacien designs and deploys multi-agent systems on your platform, customised to your operations — and we deliver the governance layer that makes them defensible. Banks, insurers, public-sector agencies, maritime operators, and engineering firms trust us with workflows where the cost of manual work is measured in millions and the margin for regulatory error is zero.
AWS Select Partner with Agentic AI specialisation. Singapore-headquartered with onshore leadership and offshore engineering across India. Ex-MAS and ex-Big4 advisors on the AgentGuardian Managed module. We do not advise. We build, deploy, govern, and stand behind what we deliver.
Agentic AI, governed.
Ready to know which AI agents are running —
and prove they are under control?
Book a 30-minute walkthrough. We will show the agent inventory model, sample evidence pack, AWS deployment pattern, and 90-day governance roadmap. No slides that waste your time.