Your Azure, answered instantly.

BriteAI is your context-aware Azure security assistant. Ask questions in plain language, get answers grounded in your live data — anomalies, compliance gaps, attack paths, and more.

Discover and onboard.

• What Azure services does TENET monitor?
• Identify alert coverage gaps.
• Help me connect my Azure subscription.
• What are the most important security metrics for my environment?

Find and fix issues.

• Explain this anomaly.
• Why did this VM stop sending metrics?
• Analyze this security finding.
• How do I fix this misconfiguration?

Get insights fast.

• Summarize recent security alerts.
• Explain this compliance gap.
• How many critical findings did we have last week?
• How did the last deployment affect my risk score?

Translate and collaborate.

• Explain this KQL query.
• Rewrite this query to include more resource types.
• Create an exec summary of my security posture.
• Explain this dashboard in plain English.

Context-Aware

Answers grounded in your live Azure data

Before BriteAI generates a single token, it injects your live security data — pre-sorted by risk — directly into its context window. No hallucinated resource names. No generic advice.

• Tab-aware context injection — BriteAI knows which TENET view you have open
• Risk-ranked data loaded before the first token is generated
• Grounded in your actual Azure resources, not training data
• No prompt engineering required — just ask in plain language

Deep Queries

Calls MCP tools when context isn't enough

When injected context does not contain the full dataset, BriteAI does not guess — it calls the TENET MCP server directly. From ad-hoc Resource Graph KQL queries to Log Analytics stack traces, it fetches exactly what it needs.

• Runs Resource Graph KQL to answer inventory and relationship questions
• Queries Log Analytics for exceptions, slow requests, and raw traces
• Searches Azure Monitor metrics on demand for performance analysis
• Fetches Microsoft Learn docs in real time for how-to guidance

Real-time Streaming

Instant streaming answers with full Markdown

BriteAI streams tokens in real-time via Server-Sent Events. Responses render as structured Markdown — tables, bullet lists, syntax-highlighted code blocks, and risk-scored summaries.

• Tokens stream via Server-Sent Events — no waiting for a full response
• Responses render as rich Markdown with tables and code blocks
• Risk-scored summaries highlight the most critical findings first
• Works inside TENET without any external AI tool setup

Correlation Engine

Cross-domain risk surfaced automatically

A VM with a CPU spike means nothing in isolation. BriteAI correlates anomalies, open NSG ports, over-privileged identities, and compliance gaps to surface the findings that are actually dangerous.

• Joins metric anomalies with open NSG ports and MITRE technique mappings
• Links over-privileged identities to the resources they can reach
• Surfaces compliance gaps that are amplified by active findings
• Ranks cross-domain findings by combined blast radius and exploitability

SRE Agent Integration

TENET MCP Server

Connect your SRE agents, automation scripts, and AI pipelines directly to TENET's live Azure data via a standard Model Context Protocol endpoint. JSON-RPC 2.0 over Streamable HTTP — no custom SDKs required.

• 11 MCP tools covering security, compliance, anomalies, identity, and AI services
• JSON-RPC 2.0 over Streamable HTTP — no custom SDK required
• Per-user API keys generated in TENET Settings
• Compatible with Claude, GPT, LangChain, and any MCP-capable agent