Built for the team that owns this security review.
AI governance, security architecture, application security, and platform teams responsible for governing employee AI use and agentic workflows.
AI security
Tutela Agentic Security
Agentic Security helps teams see how employees use AI tools, inspect prompts, files, and responses, apply policy actions, and keep an audit trail around sensitive data use.
Help AI and security teams govern employee AI use before it becomes an invisible data exposure problem.
Why this product exists.
Employees and internal tools can expose sensitive data through prompts, files, connected tools, and model outputs. Security teams need controls that follow the workflow without losing operational visibility.
Built for customer-owned deployment.
Agentic Security is designed for customer-owned environments. AWS Marketplace links are shown only when an approved listing URL is configured.
Outcomes
What changes after this product is in the review loop.
Review shadow AI and employee AI use before workflows expand into blind spots
Prepare prompt, file, response, and model-interaction controls for AI security review
Connect browser, SDK, proxy, and agent governance surfaces to the same customer-owned audit trail
How it works
Govern employee AI use where sensitive data can move.
Agentic Security helps teams review how employees use AI tools, how sensitive data enters those workflows, and where policy-backed controls belong before adoption broadens.
Agent access governance
Review employee AI use, agents, tools, and model interaction paths before they become invisible security debt.
Workflow and policy control
Connect AI workflow context to data sensitivity so prompts, files, and tool use are evaluated before protected data is exposed.
Prompt and output review
Inspect prompt, file, and response flows so policy decisions can be applied at the point of AI risk.
Model interaction monitoring
Preserve customer-owned audit records for model interactions, policy actions, and review outcomes.
What the operator sees
Focus the review on concrete product surfaces.
Use the product page to understand what your team can inspect, compare, and discuss before moving into deeper technical material.
Agent access
Which agents, tools, and AI workflows can reach protected information.
Workflow inspection
How prompts, files, responses, and outputs should be inspected.
Control evidence
Which audit records and policy actions belong in the customer-owned operating model.
Control plane flow
Agentic Security control surface.
Agent visibility
Identify agents, AI tools, browser use, SDK/API flows, proxy patterns, and connected AI interactions.
Workflow controls
Review which prompts, files, and connected tools can reach protected business or regulated information.
Prompt/output inspection
Inspect prompts, files, and responses where sensitive context can leak or be misused.
Interaction monitoring
Apply policy actions and preserve auditability in the customer-owned environment.
Auditability
Keep customer-owned audit records for AI review, security analysis, and operational follow-up.
Customer-owned deployment
Keep architecture, operating boundaries, and rollout readiness explicit.
Tutela is designed for customer-owned deployment. Use the architecture and readiness material to understand operating boundaries without turning deployment mechanics into the whole product story.
Customer-owned deployment
Designed for customer-owned environments where AI governance records, policy decisions, and interaction review stay under customer control.
Agentic surface review
Review browser, SDK, proxy, and connected AI surfaces before deciding where product controls should be deployed.
Readiness before rollout
Use technical guides and architecture material to align ownership boundaries, operating responsibilities, and commercial review before production use.
Evaluation fit
Questions Agentic Security helps answer.
These questions help buyers decide whether this product fits the problem in front of them and which resource to read next.
Which agentic workflows can reach regulated, confidential, or business-critical data?
Review shadow AI and employee AI use before workflows expand into blind spots
Which employee AI interactions need policy review before adoption broadens?
Prepare prompt, file, response, and model-interaction controls for AI security review
Which prompt, file, response, and model interaction events need policy review?
Connect browser, SDK, proxy, and agent governance surfaces to the same customer-owned audit trail
How should AI governance evidence stay inside the customer operating model?
Review shadow AI and employee AI use before workflows expand into blind spots
Platform fit
How this module fits the rest of the platform.
Data Security, Agentic Security, and Exposure Validation solve different questions in the same operating model. Use the portfolio overview when your team needs to compare the modules side by side.
Best paired with Data Security
Agentic Security works best when teams already understand where sensitive data lives and why certain prompts, files, or AI workflows matter more than others.
Good next step
Compare the products side by side if the problem shifts from data discovery to AI workflow governance, or from product fit to posture validation.
Compare ProductsRead this next
Go deeper with the guide or brief that fits this product story.
Use these resources when your team is ready to move from public product fit into the next useful technical or planning conversation.
Agentic Security Executive Overview
Leadership-facing overview of employee AI governance, workflow visibility, and policy-backed controls.
Who should read this next: Security leaders, AI governance leads, and cross-functional buyers reviewing employee AI governance and workflow controls.
Open the overviewAgentic Security Technical Overview
A technical overview for teams evaluating how Tutela approaches agent visibility, prompt and output inspection, and policy-backed AI governance.
Who should read this next: Security and AI teams reviewing employee AI use, prompt, response, and model interaction controls.
Open the overviewAgentic Security Architecture Brief
A customer-owned deployment brief for teams reviewing how Agentic Security fits browser, proxy, SDK, and audit workflows.
Who should read this next: Architecture, platform, and security teams reviewing how Agentic Security fits into a customer-owned deployment model.
Open the briefFAQ
Common questions about Agentic Security.
What does Tutela Agentic Security govern?
It focuses on how employees, agents, prompts, outputs, model interactions, and connected tools interact with sensitive data.
What parts of AI use does it inspect?
It helps teams inspect prompts, files, responses, and model interactions so policy controls can apply before generated responses expose protected information.
What happens to prompts and outputs?
Agentic Security is designed around prompt, output, and model-interaction review so teams can apply policy-backed controls where AI workflows create risk.
Which AI surfaces does it support?
The product direction covers browser-based AI use, SDK and API workflows, AI proxy patterns, and connected agent interactions.
How is Tutela Agentic Security deployed?
Tutela Agentic Security is designed for customer-owned deployment so inspection, policy actions, and audit records stay under customer control.
Does it require Data Security?
They can be evaluated separately, but the strongest agentic security review starts with clear sensitive-data context.
Next step
Explore ResourcesContinue learning about Agentic Security.
Explore the architecture, deployment, and planning material that helps your team decide whether to go deeper.