AI Agent Security Use Cases | Fugitive Intelligence

Initial focus area

AI-native B2B software.

These teams often deploy agent features quickly while enterprise buyers ask for clear tenant boundaries, access controls, testing evidence, incident processes, and contractual commitments.

AI-NATIVE B2B SAAS

Prepare agent features for enterprise review.

Enterprise customers may ask how the product limits cross-tenant access, broad credentials, privileged tools, destructive actions, and unsupported claims about model safety.

An exposure review can help product, platform, security, and enterprise sales teams organize one control model for architecture decisions and customer evidence.

Discuss a SaaS workflow

Cross-tenant protectionResolve the customer tenant at every retrieval and tool call; deny mismatches before execution.
Production tool governanceConstrain what the agent may read, create, edit, send, delete, deploy, or export.
Customer-specific policyApply contractual, regional, data-residency, approval, and feature restrictions per customer.
Security questionnaire evidenceAnswer enterprise reviews with live control coverage, test results, exceptions, and action records.
Safe feature expansionAdd new tools, models, or autonomy levels behind versioned policy and regression tests.

FINANCIAL SERVICES

Separate analysis, recommendation, approval, and execution.

Financial workflows may analyze proprietary information, prepare transactions, alter payment instructions, communicate with customers, or influence regulated decisions.

A control design should distinguish research from execution, draft from approval, customer service from funds movement, and ordinary activity from material exceptions.

Discuss a financial workflow

Transaction thresholdsSet per-action, per-customer, per-agent, and aggregate limits with approval above defined values.
Separation of dutiesPrevent the initiating identity or agent from approving and completing the same material action.
Destination integrityConstrain payment, account, communication, and data destinations to verified records and approved changes.
Proprietary model and data protectionReview query limits, access scopes, destination controls, and telemetry for possible extraction or misuse patterns.
Market and operational guardrailsRate-limit, pause, or require human review when behavior deviates from mandate, value, timing, or exposure limits.

HEALTHCARE TECHNOLOGY

Define patient, purpose, recipient, and action boundaries.

Healthcare technology workflows may retrieve sensitive records, summarize context, schedule care, communicate with patients, generate documentation, or support operational decisions.

Controls should preserve useful access while preventing the workflow from broadening purpose, patient scope, recipient, or downstream authority. Fugitive Intelligence does not make clinical decisions or provide clinical advice.

Discuss a healthcare workflow

Purpose-bound accessAuthorize specific records and fields for the documented care, operations, or support purpose.
Minimum-necessary contextRedact, summarize, or withhold data that is not required for the current task.
Recipient controlsVerify patient, provider, organization, channel, and consent before external communication or disclosure.
Human clinical oversightKeep diagnosis, treatment, medication, and other consequential clinical decisions with accountable professionals.
Complete access evidenceConnect patient scope, initiating identity, retrieved data, generated content, tool use, review, and outcome.

INSURANCE

Keep underwriting and claims actions attributable.

Insurance workflows may gather documents, classify risk, prepare decisions, communicate with customers, recommend coverage, process claims, or initiate payments.

A control path should show which data and rules influenced an action, where accountable human judgment was required, and how exceptions were handled.

Discuss an insurance workflow

Decision traceabilityPreserve input sources, transformations, model references, business rules, exceptions, and responsible reviewers.
Claims action controlsDifferentiate document processing, recommendation, approval, denial, settlement, and payment authority.
Customer communication reviewRequire review for sensitive, adverse, novel, high-value, or legally significant communications.
Third-party data boundariesControl what vendors, models, and enrichment sources receive and what derived information may be persisted.
Assurance packageOrganize reviewed inventory, permission scope, test results, control coverage, limitations, and incident responsibilities for due diligence.

Illustrative policy patterns

The same workflow needs different authority for different effects.

These examples show how a policy model can distinguish the requested action, target, data, value, recipient, workflow state, and responsible person. They are not complete legal, regulatory, clinical, or operational requirements.

Workflow	Low-impact action	Conditional action	Always constrained
Customer support	Read the assigned case and approved knowledge	Issue a refund below threshold to the original method	Export customer data or alter payment destination
Software engineering	Read assigned repository context	Open a pull request with tests and named reviewer	Merge, deploy, rotate secrets, or change production permissions alone
Financial operations	Reconcile a known invoice	Prepare a payment within vendor and amount policy	Create a new payee and approve the payment in one path
Healthcare operations	Summarize the assigned appointment record	Send an approved reminder to the verified patient channel	Change treatment, medication, or disclose unrelated records
Insurance claims	Classify and organize submitted documents	Recommend a reserve within established criteria	Deny a complex claim or issue material payment without accountable review

Start with a bounded scope

Choose one action path and define the control boundary.

Begin with the workflow that carries the clearest customer, financial, operational, legal, or intellectual-property impact. Map its authority, identify decision points, define evidence, and test agreed failure cases before expanding autonomy.

A defined agent and accountable owner
One or more consequential enterprise tools
Measurable approval, containment, evidence, and acceptance requirements

Discuss your highest-impact workflow

Control high-impact AI workflows.