Use case

Let security analysts investigate with AI while controlling data and tool access.

Govern AI-assisted alert investigation with visibility into prompts, tool calls, sensitive data, usage signals, policy actions, and analyst-ready evidence.

Why this matters

Security Analyst AI Investigation is a business and security problem, not just a tooling category.

The problem

AI can help security analysts move through alert volume faster, but investigations often touch internal logs, identity context, sensitive data indicators, privileged tools, and remediation actions.

Why teams act now

Without governance, AI-assisted investigations can create a new blind spot around which data was shared, which tools were invoked, which actions were suggested, and whether the workflow touched protected information.

AI enablement journey

From employee productivity to governed AI operations.

This journey shows where useful AI work becomes unmanaged data movement, and how Tutela turns that moment into policy-backed enablement.

Employee productivity goal

A security analyst wants AI to summarize alerts, correlate logs, inspect cloud or identity context, and draft an investigation narrative faster.

Uncontrolled risk

Alert data, internal logs, identity context, customer data references, and response actions can be sent to AI tools or chained through agents without policy oversight.

Governance moment

Agentic Security governs prompts, outputs, tool calls, and connected investigation actions while Data Security adds the data sensitivity and access context needed to decide what deserves attention.

Tutela product fit

Agentic Security governs the investigation assistant; Data Security shows whether sensitive data is implicated and which access paths make the workflow risky.

Safe operating outcome

Analysts can use AI to accelerate triage and reporting while high-risk data, privileged tools, and remediation paths remain governed.

Proof created

The team gets a trace of model interactions, tool calls, sensitive context, usage signals, policy actions, and analyst handoff notes.

What teams need to know

The questions teams need answered before they choose a path.

Security operations, detection engineering, cloud security, and incident-response teams using AI to investigate alerts and exposure paths.

Which alert, log, cloud, identity, and data sources can the AI assistant reach?

Which tool calls or response actions need approval before execution?

Which investigation paths involve sensitive data or privileged action?

What investigation evidence should remain available for review and closure?

How Tutela helps

Bring the right data, AI, and deployment context into the conversation.

Tutela should help teams replace generic tooling talk with a clearer understanding of where risk exists, which controls matter, and what is worth evaluating next.

Control connected investigation paths

Review AI access to alert data, logs, identity context, cloud signals, and connected tools before autonomous workflows scale.

Use data context before action

Use sensitive-data and access context to identify which investigations deserve analyst, owner, or remediation attention.

Preserve investigation context

Keep model activity, tool calls, policy decisions, and closure records available for security review.

What good looks like

Give buyers a sharper story than "we need another security tool."

The best public solution pages connect the operational problem, the business risk, the product fit, and the next best educational asset without dragging buyers through internal review mechanics.

Govern AI-assisted triage and tool calls

Tie investigations to sensitive-data context

Attach investigation evidence to sensitive-data context

Best fit products

Relevant Tutela products.

Tutela Agentic Security

Tutela Agentic Security gives security teams visibility and policy control over prompts, files, outputs, tool calls, usage signals, and autonomous actions before sensitive data moves.

View product

Tutela Data Security

Tutela Data Security helps organizations find sensitive data, understand who can access it, and prepare the right protection decisions first.

View product
Related resources

Go deeper with the next best resource.

Overview

Agentic Security Technical Overview

Technical overview of Agentic Security visibility, inspection, policy action, and auditability across employee AI workflows.

Open the overview
Brief

Data Security Architecture Brief

Customer-owned architecture notes for Data Security discovery, classification, access graph, risk scoring, and control planning.

Open the brief