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Industries

Different industries. A shared need for control.

Your data, workflows and responsibilities shape your AI risk. Build protection around the way your business actually works.

Law

Keep client confidentiality inside the firm.

From drafting and research to matter management, AI can sit close to your most sensitive client information. Set clear boundaries for public tools and protect the assistants you build internally.

Client identities · Contracts · Case strategy

Discuss law AI security

Example workflow

A lawyer asks a public AI tool to summarize a client agreement. Apply a sensitive-data policy before the prompt is submitted.

Where AgentID helps

  • Visibility into AI tools used across the firm
  • Policies for confidential matter information
  • Access controls for internal legal assistants

Finance

Protect the data behind every financial decision.

Give teams a safer way to work with AI while protecting account information, internal research and financial records. Extend controls to customer assistants and automated workflows.

Account information · Research · Financial records

Discuss finance AI security

Example workflow

A customer-facing assistant receives an instruction to reveal another account’s information. Check the request and enforce the application’s data boundaries.

Where AgentID helps

  • Sensitive data controls for employee prompts
  • Runtime checks for customer-facing applications
  • Reviewable decisions for risk and security teams

Insurance

Keep policyholder data out of the wrong prompts.

Claims, underwriting and customer service bring AI into contact with personal and commercial information. Control data sharing and keep consequential workflow actions accountable.

Claims documents · Policyholder records · Underwriting data

Discuss insurance AI security

Example workflow

A claims workflow prepares an action outside an agent’s permissions. Require the configured approval before the connected tool runs.

Where AgentID helps

  • Policies for claims and policyholder information
  • Scoped access for claims and service agents
  • Approval records for selected workflow actions

Manufacturing

Protect the knowledge that makes you competitive.

Engineering teams and operations staff use AI around designs, supplier information and internal procedures. Protect that knowledge while setting limits for connected automations.

Product designs · Process know-how · Supplier agreements

Discuss manufacturing AI security

Example workflow

An employee pastes a proprietary production procedure into an AI tool. Check the prompt against your confidential-information policy.

Where AgentID helps

  • Visibility into AI use across connected teams
  • Protection for proprietary information
  • Bounded tool access for operational agents

Healthcare

Support AI adoption. Protect patient information.

Administrative workflows, staff assistants and patient-facing services need deliberate controls around sensitive information. Understand where AI is used and keep access aligned with the task.

Patient information · Clinical documents · Staff records

Discuss healthcare AI security

Example workflow

A staff member uses AI to draft a summary containing patient details. Apply your data policy before information reaches a supported public AI service.

Where AgentID helps

  • Sensitive data checks in employee AI workflows
  • Runtime protection for patient-facing assistants
  • Defined access and reviewable activity

Let’s talk AI security

Let’s start with your use case.

Talk through your data, AI systems and the controls your team needs.

Book a demo