THE SOVEREIGN AI-AGENT SECURITY PLATFORM · APAC
Trace your agents.
Control your risks.
This is what your agent estate looks like when someone is finally watching — every agent inventoried, every violation triaged, every change tracked.
THE ALL-IN-ONE PLATFORM FOR AGENTIC AI SECURITY & GOVERNANCE
See it. Prove it. Stop it. Fix it.
Follow one finding through the platform: an agent discovered, its exploit path proven, the attack blocked in production, and the fix fed back into your posture.
See every agent on the platforms you connect.
TraceCtrl AI-SPM keeps a continuous inventory across your clouds and platforms, maps who talks to what, and checks every agent against OWASP, MITRE, CSA, MAS and IMDA. TAGAAI then turns that map into an attack graph, scoring every exposure path and every agent so you know which fix to make first.
Explore TraceCtrl AI-SPM →Discover what an attacker could actually do.
Discover new potential attacks on your agentic system, the way an AI-powered adversary would. Red-team findings build Enhanced TAGAAI, chaining minor weaknesses into the paths that actually reach your data, so you fix the three paths that matter, not 137 line items.
Explore TraceCtrl AI-RT →Stop the attack while it's happening.
TraceCtrl AI-DR can implement guardrails and controls to inspect the communications between agents and tools, so when the real attack arrives, the action is blocked before it completes, and your SOC gets an alert with a playbook for investigation.
ROADMAPAI-DR is currently under development.
Every finding ends in a fix.
A standalone guardrail doesn't know what's exploitable. A standalone red team can't fix what it finds. On one platform every finding is validated, mitigated, remediated and verified, with governance evidence emitted at every stage. That lifecycle is our methodology: the AgentSecOps loop.
TAGAAI, our proprietary AI attack graph engine.
TAGAAI (Threat Attack Graphs for Agentic AI) maps how an attacker could move through your AI agents, then scores the risk.
Your AI environment
Agents, tools, data access and policies from your AI-SPM.
OWASP AIVSS-adapted risk factors.
TAGAAI engine
Maps the attack paths across your agents and scores the risk of each path and each agent.
Actionable risk insight
- Attack graph
- Path risk scores
- Agent risk scores
Go deeper with AI red teaming
Add your red-team objectives and an AI agent harness for objective-driven analysis.
Explore TraceCtrl AI-RT →Backed by our own zero-day research.
Guard and Red Teaming are powered by TVDB, our threat-intelligence database of malicious prompts and attack techniques, collected as they appear in the wild. New entries become detections before they become incidents.
About TVDB →- TVDB-2611Cross-agent memory poisoning
- TVDB-2610MCP tool-shadowing escalation
- TVDB-2609Skill-library supply-chain implant
See your agent attack surface.
Book a demo and we'll map your agent topology, showing every attack path before adversaries find them.