AI Monitoring &
Detection Engineering.
Turn AI activity into security visibility. Navira Security helps security teams design and implement the telemetry, SIEM integrations, and detection rules required to reconstruct agent activity across identity, model, data, tool, authorization, and action.
"What is the AI system doing right now, and would our security team know if it crossed a boundary?"
We design security visibility into your existing observability and SIEM platforms (Splunk, Microsoft Sentinel, Datadog, Elastic).
Logging sanitized chunk IDs, prompt boundaries & metadata.
Capturing step sequences, goal deviation & recursive loops.
Tracing human principal authorization against agent privilege.
Logging tool parameters, schema changes & side-effect intent.
Monitoring cross-tenant queries & similarity distance anomalies.
Custom detection logic & automated incident triage runbooks.
Adversarial Telemetry & Detection Trace Simulator
Illustrating how layered security telemetry captures unauthorized tool calling and confused deputy attacks in client environments.
The 6 Layers of AI Security Telemetry
How Navira Security structures telemetry architecture and detection engineering across the entire AI execution pipeline:
Context & Prompt Ingestion
Designing logging schemas for input token distributions, prompt boundary delimiters, external document chunk IDs, and embedding similarity shifts.
Agent Reasoning & Goal Loops
Instrumenting intermediate planning loops to detect autonomous goal deviation, recursive execution traps, and hallucinated operational objectives.
IAM & Delegated Authority
Capturing authorization checks between requesting users, intermediary agents, and downstream service accounts to flag confused deputy patterns.
MCP Protocol & Tool Calling
Defining telemetry for Model Context Protocol (MCP) tool registrations, schema mutations, parameter values, and external network side effects.
Vector Storage & Retrieval
Engineering telemetry for vector database queries, namespace partition predicates, and statistical anomalies in retrieved document collections.
SIEM Correlation & Runbooks
Building custom correlation rules, incident response playbooks, and triage workflows inside Splunk, Microsoft Sentinel, Datadog, or Elastic.
What You Receive from an AI Monitoring Engagement
We deliver complete, vendor-neutral engineering artifacts ready for your SOC and infrastructure teams to deploy inside your existing monitoring stack.
Engagement Details & Commercial Scope
Related Technical Research
Explore research and reference labs connected to this security discipline:
Scope Your AI Security Engagement
Configure your production AI architecture to calculate recommended testing depth, duration, and Founding Deal pricing.