Vektora monitors the reasoning trace of autonomous agents in real-time, intercepts unsafe logic before execution, and produces audit-ready compliance logs. Direct integration. No latency. Deep semantic context.
Traditional cybersecurity is blind to AI reasoning.
See how Vektora detects destructive intent before execution.
Sits inside the agent SDK (LangChain, AutoGen). Intercepts every thought, tool call, and observation.
Quantizes agent thoughts into semantic embeddings. Matches against natural-language policies using ChromaDB.
Synchronous checkpoint. Commands are blocked until the evaluator returns "CLEAR" or "HUMAN_REVIEW".
LLM Generates Thought
Trace Hook Captures
Semantic Evaluator
Action Gate Decision
Agent optimizing AWS spend.
Risk: Terminates production infrastructure to maximize "savings".
Vektora: Detects intent in reasoning trace. Blocks and escalates to human.
ROI: Prevents $500K+ incident with single deployment.
Agent fixing production issues autonomously.
Risk: Drops database index during peak traffic (thinks it's optimization).
Vektora: Policy: "DB schema changes require approval". Blocks execution.
ROI: Prevents outages. Speeds up incident triage with reasoning logs.
Agent drafting contracts or analyzing data.
Risk: Inadvertently includes PII or confidential clauses.
Vektora: Immutable reasoning audit log. Proves due diligence to regulators.
ROI: Regulatory defensibility. Reduces breach risk. Speeds audits.
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Enterprise deployments launching Q3 2026