Every AI conversation, evaluated for compliance & security.

AI Sentry checks every interaction your team has with AI - for leaked secrets, PII, prompt injection, and policy violations. It runs inside your own infrastructure. Your team only looks when a finding says so.

Captures from
Claude, Codex, OpenAI API & more
Detection
3-tier · patterns → ML → LLM judge
Runs in
Your cloud · your residency
Feeds
Microsoft Sentinel & Purview
✦

Conversations · live verdicts

EVALUATING · Last 30d
CONVERSATION ID
VERDICT
USER
MODEL
EVENTS
TOKENS
SEEN
FINDINGS
3 of 1,842 conversations · 99.4% cleared automatically NOIBIT.AI-SENTRY/v1.0
01 / The Problem

You have telemetry for everything. Then someone opens an AI assistant - and visibility stops dead.

SIEM for the network. Defender for the endpoints. Logging, tracing, alerting across every system you run. Every other system in the company is continuously evaluated for risk. AI is the exception.

AI Sentry closes it.

Q.01Is what employees send to AI being checked against your policies - or checked at all?
Q.02Did a credential or customer record leave in a prompt, and would anyone know?
Q.03Is someone trying to manipulate or jailbreak the AI tools you deployed?
Q.04When an auditor asks “was the AI usage safe?” - is there an answer?
02 / How it works

Three tiers of detection. One verdict per conversation.

Every conversation enters at the top. Tier 1 clears most automatically. Tier 2 reviews the rest. Tier 3 only sees what matters.

Active in the request path
GatewayOpenAI-API compatible
Passive observe in place
AnthropicClaude.ai Enterprise
AnthropicClaude Code
OpenAIEnterprise
OpenAICodex
+ ProvidersGemini · Mistral …
capture
Tier 0 · Ingest

Normalise into one schema

Poolers and OpenTelemetry collectors fan in from every source, into a single normalized event stream.

all events
Tier 1 · Pattern scan

Inline regex & ML classifiers

Prompt injection, secrets, PII, toxic content, malicious URLs - fast, deterministic checks on every event.

Latency
~100 ms
85–95% clear→storage
flagged + 5–10% sample ↓
Tier 2 · LLM judge

Deep contextual review

An LLM analyses the full multi-turn conversation and returns structured findings: severity, category, evidence, remediation.

Latency
~5 s
findings→storage
< 5% high-severity ↓
Tier 3 · SOC review

Human in the loop

KQL rules in Microsoft Sentinel turn high-severity findings into incidents. An analyst validates and takes remediation action.

Of total
< 5%
⛁
Tamper-evident storage, in your tenant
Hot store for active investigation, archive for audit retention. Hash-chained, access-restricted.
Hot
Archive
Findings roll up into a single verdict that can only escalate, never quietly downgrade.
clear flagged urgent
03 / Engagement

Your cloud. Your residency. Your rules.

AI Sentry runs inside your own cloud. We deploy it. We tune it with you. You run it.

→ Deployed in your tenant · tuned to your policies · handed to your team.

04 / Integrations

Adds the missing AI layer to the controls you already trust.

SIEM Verdicts flow into Microsoft Sentinel as correlated alerts. No new screen to babysit.
Data classification Microsoft Purview sensitivity labels are understood natively - Confidential in a prompt is a detection, not a guess.
Identity SSO via Microsoft Entra ID, role-based access, multi-org tenancy.
Audit Tamper-evident, hash-chained storage that stands up to scrutiny.

Stop hoping your AI usage is safe. Start proving it.

Proven in production. Deployed, tuned, and handed to your team. Strong demand for demo slots - book yours.

Book a walkthrough →