Trace Every Agent.
Control Every Risk.
Complete visibility into every agent action, every tool call, every data access — with runtime protection and attack graph risk scoring.
AI is transforming how
we build software.
A new development lifecycle with unique risks and challenges.
of production AI agents have zero security monitoring.
— MIT AgentIndex 2025
Your AI agents are autonomous.
Your security isn't keeping up.
Your AI agents are autonomous.
Your security isn't keeping up.
of production AI agents have zero security monitoring. MIT AgentIndex 2025
Trace + Control
TraceCtrl monitors agent behaviour, maps attack surfaces with ASIE, enforces policies, and delivers auditable proof.
Trace.
Every agent action, every tool call, every data access — in real time. OTEL-native telemetry extraction across any platform and framework.
Control.
ASIE-powered threat modelling, runtime protection, policy-driven governance. Enforce security without slowing AI development.
Trace + Control
Complete observability and security enforcement for your agentic AI.
Trace.
- 01Real-time agent behavior monitoring
- 02OTEL-native telemetry extraction
- 03Cross-cloud agent inventory
- 04Immutable audit logs
Control.
- 05Scan for security risks during build time
- 06Attack graph risk scoring via ASIE
- 07Runtime guardrails with ShieldPrompt
- 08Compliance dashboard and attestation
Powered by ASIE
Agent Security Intelligence Engine
Our proprietary attack graph framework extends MulVAL with 8 custom Datalog interaction rules for multi-agent AI systems. It maps exactly how an adversary could exploit your agents, step by step.
Agent Modeler
Maps agent topology, tools, data flows, and communication links across your environment
Vulnerability Mapper
Cross-references agents against our LLM Vulnerability Database — 44+ records, 37 LLM versions, ASR + CVSS scoring
Attack Graph Generator
MulVAL engine + 8 custom Datalog rules produces a directed exploitation graph for your agent fleet
Attack Graph Analyzer
Computes Agent Risk + Attack Path Risk scores. Surfaces the highest-impact paths adversaries would exploit first
8 Interaction Rules
One platform.
Full coverage.
TraceCtrl Scan
Scan for security risks during build time. Identify vulnerabilities, misconfigurations, and unsafe patterns across your agentic AI pipelines before they reach production.
TraceCtrl Risk
ASIE-powered attack graph analysis, risk scoring, and compliance attestation. See every attack path before adversaries find them.
TraceCtrl Guard
Runtime guardrails with ShieldPrompt prompt injection defense, data leakage prevention, and policy enforcement. Protect agents without slowing AI development.
One platform. Full coverage.
TraceCtrl Scan
Build-time SecurityScan for security risks during build time. Identify vulnerabilities, misconfigurations, and unsafe patterns across your agentic AI pipelines before they reach production.
TraceCtrl Risk
Attack Surface MappingASIE-powered attack graph analysis, risk scoring, and compliance attestation. See every attack path before adversaries find them.
TraceCtrl Guard
Runtime ProtectionRuntime guardrails with ShieldPrompt prompt injection defense, data leakage prevention, and policy enforcement. Protect agents without slowing AI development.
Multi-cloud. Multi-framework. Every LLM.
TraceCtrl works wherever your agents run — any cloud, any framework, any model. No vendor lock-in.
See your agent attack surface
Book a demo and we'll map your agent topology with ASIE — showing you every attack path before adversaries find them.
12 years security DNA · 8 countries · Government trusted