Protect sensitive workflows
Apply explicit rules to supported actions involving data, destinations and resources.
AI AGENT RUNTIME SECURITY
See what an agent is about to do. Apply policy before execution where supported. Preserve the decision trail.
pip install restricted-exampleControls and record details vary by supported integration and deployment mode.
Blocked. Decision recorded for review.CONFIDENCE TO PUT AI TO WORK
Let teams use capable AI agents while retaining control over supported actions that affect your data, systems and business.
See how Aegis helpsApply explicit rules to supported actions involving data, destinations and resources.
Evaluate what an agent is about to do before execution where the integration supports it.
Keep the action, rule and decision context your team needs for review.
THE 2026 RESEARCH CONTEXT
Independent studies show the scale of adoption and the consequences of security gaps.
Large-enterprise respondents report scaling AI agents
McKinsey · 2026In at least one business function, among respondents from organizations with over US$1B annual revenue. May–June survey; 1,719 respondents overall.Survey respondents reported an AI-agent incident
Cloud Security Alliance · 2026418 IT and security professionals surveyed in January about the preceding 12 months. Sponsored by Token Security.Average loss from prompt-injection incidents studied
IBM / Ponemon · 2026Incidents involving AI models or applications. Overall study: 602 breached organizations, March 2025–February 2026; attack-type subgroup size not disclosed.Independent industry research. Different study populations; these figures are not Aegis performance or savings estimates.
BUILT BY SECURE TRACES
Selected Secure Traces customers. Aegis Runtime is built by Secure Traces.

AEGIS AT WORK
From the first available signal to the decision your team can inspect.
See enrolled users, supported agentic tools and runtime environments. Connect available session activity to the action under review.
Evaluate a supported command or tool action against explicit organizational rules. Control is tied to the integration and deployment mode.
Follow a supported package-policy example from attempted action to an allow or block decision. Replay it to see each stage.
Review the attempted action, configured rule and decision together. Use available records to investigate supported agent activity.
Conceptual control flow. Available signals and controls depend on the supported integration.
USE CASES
SUPPORTED ENVIRONMENTS
Aegis adds visibility and runtime control across supported agentic environments.
Action visibility and enforcement vary by integration and configuration. Product names identify supported environments, not partnerships.
RESEARCH & RESOURCES
UNDERSTAND AEGIS
Aegis Runtime provides visibility and policy enforcement for supported AI agent actions. It connects the attempted action, configured rule, allow or block decision and available runtime context.
Runtime control focuses on the point where an agent action moves toward execution. It complements identity, access, model, data and application security controls.
No. Available visibility, enforcement and decision-record details depend on the supported integration and deployment mode. A product walkthrough can confirm the controls relevant to your workflow.
A FOCUSED PRODUCT WALKTHROUGH
Bring your workflow. Explore the actions Aegis supports and the evidence your team can review.