Our Agent in the loop for AIDR and AI runtime security
Ambiguity and Non-Determinism: The Dual Security Risks of AI Agents
Agentic AI introduces autonomous actions, lateral interactions, and real time decisions that traditional security tools were never designed to observe or control.
Language Ambiguity
Natural language is imprecise. A single request, can be interpreted in multiple valid ways especially when agents chain tools and data sources.
What is needed to resolve the Agentic challenge
To address the risk of non deterministic autonomous systems, security must operate at the point of decision through active, inline runtime control that evaluates behavior as it unfolds and enforces policy before impact occurs. This involves 3 main steps.
Step 01 - Intent
Understands complex, language based parameters and analyzes intent across the full request and response lifecycle.
Step 02 - Interrogate
Eve Agent In The Loop interrogates each action in real time by evaluating policy compliance, assigning risk scores, and detecting anomalies, applying LLM driven judgment when automated decisioning requires additional context or control.
Step 03 - Decide & Act
Decides and acts in real time, allowing safe actions to proceed, reducing risk through modification or constraint, alerting on policy relevant activity, and blocking actions that violate defined controls and data policies.
The Control Plane For Runtime Agentic Security
Agentic AI introduces autonomous actions, lateral interactions, and real time decisions that traditional security tools were never designed to observe or control.
AIDR
AI Detection & Response built to understand agent behavior in real time. AIDR identifies risky actions, abnormal decisions, and policy drift as agents operate across tools and data sources.
- Detects risky agent behavior at runtime
- Correlates actions, intent, and context
- Alert on actions that violate policies
Runtime Control
Enforce policies while agents act. Runtime Control intercepts, evaluates, and constrains agent actions in real time — before sensitive operations are executed.
- Enforces policies during execution
- Blocks or limits unsafe actions instantly
- Keeps agents aligned with enterprise rules
Realized Value
Eve removes the risk that slows AI adoption. By providing real time visibility and control over live agent interactions, Eve enables teams to deploy and scale agentic AI safely. Security and governance are enforced at runtime, allowing organizations to move faster without sacrificing trust, compliance, or control.
Our Vision
A short interactive story. Explore the mission, the gap, the builders, and who backs the journey.
Recognition & News
Integrations
“With Eve, we finally understand what agents are actually doing at runtime. This level of visibility makes investigations practical instead of theoretical. Security teams can rely on facts, not assumptions. That alone sets Eve apart.”
“Runtime enforcement with evidence. It’s the first time I can explain agent decisions to auditors with confidence.”
“Seeing intent, context, and actions together changed how we investigate incidents.”
“Audit trails are finally usable. No more screenshots and guesswork.”
“We reduced investigation time dramatically because timelines are clean and actionable.”