AI agents need boundaries
Agents can recommend or attempt infrastructure changes. AEGIS is designed to put an independent safety decision between a proposal and execution.
Benefit → Reduce the risk of unsafe automated changes.Infrastructure autonomy, with guardrails
AI agents can act.
Who keeps them safe?
Let AI agents work. Keep control over what they execute.
AEGIS AI is building a control layer for infrastructure-changing AI agents and a path to safer autonomous recovery. Explore the product concept in a hands-on, fictional sandbox—no credentials or production access required.
◇ Safety checks before execution◇ Recovery or human escalation◇ No live access in this demo
AEGIS / CONTROL PLANEFICTIONAL
Example: an AI agent requests a production change
Agent proposes an actionRestart a critical service
PROPOSEDAEGIS evaluates the riskMandatory execution safety gate
REVIEWUnsafe action is blockedEscalate instead of executing
DENIEDEXECUTED: NOCONTROL RETAINED ✓
Illustrative rules only. Not connected to the real AEGIS engine.
THE PROBLEM ISN'T ANOTHER ALERT
Knowing something is wrong isn't the same as fixing it safely.
Infrastructure teams already have monitoring. The hard part is deciding what can be changed, executing with guardrails, and verifying the result.
Incidents shouldn't wait
Manual triage and recovery take attention away from engineering. AEGIS is being built to support guarded recovery workflows for suitable incidents.
Benefit → Less repetitive firefighting, with control retained.Not every action should run
Critical or uncertain situations need review. AEGIS is designed to deny risky actions or request human approval rather than blindly proceeding.
Benefit → Automation where appropriate, humans where necessary.INTERACTIVE PRODUCT EXPERIENCE
See the decision. Understand the advantage.
Choose a fictional scenario below. Follow what could happen without safeguards, what AEGIS is designed to evaluate, and why the outcome matters. All results are scripted—not the proprietary AEGIS engine.
01 / AI AGENT SAFETY
Let AI agents act. Not without a safety check.
An AI agent wants to change infrastructure. See how a separate control layer can evaluate the proposed action before anything executes.
What does the agent want to do?
Change this fictional request to explore different safety decisions.
AEGIS-style safety gate
FICTIONAL RULES◇
Will this action be allowed?Run the safety check to see an illustrative decision and its reason.
Why this matters
Infrastructure-changing agents need an independent decision point—not unrestricted execution privileges.
No external AI agent is connected. No action is executed. This is not a real security assessment.
02 / AUTONOMOUS RECOVERY
When production breaks, recovery shouldn't depend on who's awake.
See how guarded recovery could respond to a failure—or stop and involve a human when automation is unsafe.
Pick a production incident
Each example highlights a different business outcome.
All outcomes are scripted examples. No production environment, agent or backend is connected.
Controlled response
FICTIONAL↗
Ready to simulate an incidentChoose a scenario and watch detection, evaluation, safety review and outcome.
FROM FICTIONAL DEMO TO REAL-WORLD DISCUSSION
What if your team could recover faster—without giving automation a blank check?
Tell us which infrastructure actions you would trust AEGIS to evaluate, approve, or safely escalate. We are exploring scoped pilot opportunities with infrastructure teams.
No production credentials needed to start the conversation.Bring a fictional incident
Describe a hypothetical situation. Your text stays in this browser and is never uploaded by this page. Do not enter sensitive information.
Scenario report
Create a report to explore a fictional review workflow.
This is not an AI-generated analysis of your text and must not be used to make production decisions.
AEGIS AI / EARLY ACCESS
Explore an AEGIS pilot for your infrastructure.
Do you manage production systems or build infrastructure-changing AI agents? Tell us what you would want to automate safely. We’ll follow up to discuss whether a pilot is a fit.
01 Share your use case
02 Discuss fit & safety requirements
03 Explore a scoped pilot
Early pilot conversations · No production credentials required · No commitment to deploy