AIEGIS Governance
AI agents don't wait for quarterly reviews.
They make decisions, use tools, access information and take actions in seconds.
AIEGIS Governance puts your rules in front of those actions.
Before an agent acts, Governance evaluates what it is trying to do against the rules that apply to your organisation. The action can proceed, be stopped, or be recorded for review.
And every decision leaves behind an audit trail.
The problem
Most governance was designed for a world where humans were making the decisions.
Policies were written. Reviews were scheduled. Audits looked backwards.
AI agents change that.
An agent can make thousands of decisions long before somebody opens the next compliance report.
So the question becomes: how do you govern something that can act faster than you can review it?
You move governance to the moment the decision is being made. That's what AIEGIS Governance does.
Frameworks · Runtime · Audit
AIEGIS Governance brings three things together.
Frameworks define the rules your organisation needs to operate within.
Runtime governance applies those rules while your agents are actually operating.
Audit gives you a record of the decisions that were made and why.
Together, they move governance from something you periodically review to something your AI systems operate within every day.
Rule packs, one engine
Different businesses operate under different rules.
A European organisation may need to consider GDPR and the EU AI Act. A company operating in Singapore or South Africa faces different requirements.
AIEGIS Governance uses rule packs to translate those requirements into governance your agents can operate within.
Current and developing coverage: GDPR — live. Singapore MGAIF — live. South Africa POPIA — live. EU AI Act — in development. NIST AI RMF — in development.
You can also apply organisation-specific rules alongside them.
The idea is simple: your agents shouldn't have to guess which rules apply.
NIST + W3C agent-identity direction
AI-agent standards are still developing. AIEGIS is being built with that future in mind.
We track emerging work from organisations including NIST and W3C around AI-agent identity, digital credentials and trusted autonomous systems.
As those standards mature, our goal is for AIEGIS to evolve with them rather than creating another isolated governance system.
15 layers, one API
One rule isn't enough to govern an autonomous agent.
AIEGIS Governance evaluates agent activity across multiple areas including identity, policy, data protection, behaviour and accountability.
We use a 15-layer governance model so that important decisions don't depend on a single control.
For the organisation using it, however, the experience remains simple: an agent wants to act, Governance checks it, a decision is made, a record is created.
The complexity stays underneath.
Fail-closed vs fail-open
Not every governance failure should be treated the same way.
If something responsible for protecting sensitive information cannot determine whether an action is safe, allowing the action anyway could create unnecessary risk.
Other monitoring systems may be able to continue operating while recording that something needs attention.
AIEGIS Governance treats those situations differently depending on the role of the control.
The important part for the operator is simple: controls designed to prevent harm are designed to behave cautiously when certainty is lost.
Latency budget
Governance only works if agents can actually operate with it.
If every decision takes minutes, people will eventually find ways around the system.
AIEGIS Governance is therefore designed to make governance decisions in real time, alongside the agent's activity.
Your agent continues operating at machine speed while your governance operates with it.
And because AIEGIS Governance is self-hosted by default, those decisions can happen within your own infrastructure.
Signed receipts
Every governance decision creates evidence.
When an agent attempts an action, AIEGIS Governance records the decision and creates a signed receipt.
That gives your organisation something much more useful than "we believe our policy was applied."
You have a record showing that governance actually took place.
Over time, those receipts create a history of how your autonomous systems operated.
Customer-cloud invariant
Your governance data belongs to you.
AIEGIS Governance is self-hosted by default, allowing the governance environment and its audit history to remain within infrastructure controlled by your organisation.
AIEGIS does not need to build a central database containing the operational history of every customer's AI agents.
You retain control of your records, your retention policies and the evidence you choose to share.
Auditor handoff
Eventually someone may ask: "Can you prove it?"
That might be an internal compliance team, a customer, a security reviewer or an external auditor.
AIEGIS Governance is designed so that the history of your agents' governance decisions can be exported and reviewed.
Instead of reconstructing what happened months later, you already have the record. The evidence is created while the agent operates.
Frequently asked questions
What is AI governance? AI governance is how an organisation defines the boundaries within which its AI systems are allowed to operate. AIEGIS Governance takes those boundaries and applies them while autonomous agents are actually working.
What is runtime AI governance? It means governance happens while the agent is operating rather than only being reviewed afterwards. The agent attempts an action, Governance evaluates it, and the appropriate decision is made.
Why does this matter for autonomous agents? Because agents can act much faster and more frequently than humans can manually supervise them. Runtime governance allows oversight to operate at the same speed as the systems being governed.
Which jurisdictions are covered? AIEGIS currently has rule packs covering GDPR, Singapore MGAIF and South Africa POPIA, with EU AI Act and NIST AI RMF support in development.
What is the 15-layer model? It's AIEGIS's approach to evaluating agent activity across multiple areas rather than relying on a single governance check. The important part for customers is that an agent's activity is evaluated before sensitive actions are allowed to proceed.
Where does my audit trail live? With you. AIEGIS Governance is self-hosted by default, allowing governance records to remain within infrastructure controlled by your organisation.
Is the audit trail protected? Yes. Governance decisions produce signed records designed to make later alteration detectable.
What happens if Governance cannot determine whether an action is safe? Controls responsible for preventing potentially harmful actions are designed to take the safer path when they cannot establish that an action should proceed.
What is a rule pack? A rule pack represents a set of governance requirements that can be applied to your agents. AIEGIS provides jurisdictional rule packs, and organisations can also apply their own internal requirements.
Can this help with an audit? Yes. Governance decisions create records as your agents operate, giving your organisation evidence that can later be reviewed or exported for audit purposes. Regulatory mappings support evidence preparation but do not themselves establish legal or regulatory conformity.
Does AIEGIS Governance run in my infrastructure? Yes. Self-hosted deployment is the default. This allows organisations to maintain control over their governance environment and audit history.
Can we create our own rules? Yes. Your organisation can apply its own governance requirements alongside the frameworks supported by AIEGIS.