BriteAI is an AI assistant embedded directly inside TENET that lets security and operations teams ask questions about their Azure and Microsoft 365 environments in plain language and get answers grounded in live data. No query syntax. No dashboard hopping. Ask what you need to know and get a precise, contextual answer — with remediation guidance attached.
The problem: too much data, too little clarity
Azure environments generate an enormous volume of signals — metrics, logs, identity events, compliance status, cost data — spread across dozens of services and multiple subscriptions. When something goes wrong, finding the answer means knowing which blade to open, which query to write, and which signals to correlate.
Most teams solve this with dashboards, alert rules, and tribal knowledge. It works until it does not — until the engineer who knows the KQL query is on holiday, until the compliance gap is buried three clicks deep in a view nobody checks, until two unrelated anomalies turn out to share a root cause that only becomes visible when you look at both at the same time.
The real barrier is not access to data. It is the translation layer between a question in someone's head and the answer buried in their environment.
What if you could just ask?
That is the premise behind BriteAI. Instead of navigating dashboards and constructing queries, you describe what you want to know:
"Which NSGs allow SSH from the internet?"
"What caused the CPU spike on vm-api-prod?"
"Are we compliant with NIS2 Article 6?"
BriteAI resolves the question against your live Azure and Microsoft 365 data and returns a structured, actionable answer — not a generic explanation from documentation, but a response grounded in your actual environment state.
The AI knows where you are
BriteAI does not operate in a vacuum. Before every response, it injects live context: the tenant you are connected to, the tab you are viewing, the active anomalies, and the current risk score. A question like "what's going on?" gets a different answer on the anomaly detection view than on the compliance dashboard — without you having to specify which.
This is what makes BriteAI feel like a teammate watching the same screen, rather than a disconnected assistant that needs to be caught up every time.
From questions to root causes
When BriteAI detects that your question touches an active anomaly or a cluster of related signals, it does not stop at describing the symptom. It pulls in data from the correlation engine to identify the probable root cause.
A practical example: your environment shows a CPU breach on vm-api-prod at 94% and an egress surge on storageacct-logs at 340% above baseline. Viewed separately, these look like two unrelated alerts. BriteAI surfaces the connection — both spiked at 03:14 UTC, and the storage account is the logging target for the VM's API layer. The CPU spike is a consequence of the egress surge, not an independent failure. One root cause, one fix.
Remediation that goes beyond suggestions
When BriteAI surfaces an issue, it provides specific remediation guidance: not "review your NSG rules" but "restrict inbound SSH on NSG-prod-east to your corporate CIDR range and review the SAS token expiry on storageacct-logs." It can also create tracked tasks directly within the platform — with an assignee, a priority level, and a link back to the finding. Detection to remediation to resolution tracking in one place.
Enterprise controls
BriteAI is built on three non-negotiable principles. Zero-retention, zero-training — contractual guarantees that no customer data is retained or used for model training. Role-based access — BriteAI respects the same RBAC model as the rest of the platform, so the AI never becomes a backdoor to data a user should not see. Explainable responses — every answer traces back to the underlying data, showing which resources were queried and what logic led to the recommendation.
BriteAI is available today in TENET. Start a 14-day free trial — no credit card required — or request a demo to see it with your own environment data.