Unknown agents and connections
Teams deploy agents, model integrations, MCP servers, and embedded AI features faster than central inventories can keep up.
AI Agent Security & Assurance
Keep AI on mission.
AI agents now touch code, customer data, financial systems, and operational tools. Fugitive Intelligence is building the vendor-neutral control layer that discovers every agent, governs every tool call, contains unsafe actions, and produces defensible evidence.
Fugitive Control
Policy active
Customer Support Agent
REQ-7F3A
Requested action
Issue refund
Transaction
$1,250 USD
Target system
Payments API
Customer tier
Enterprise
Agent identity verified Pass
Customer scope matched Pass
Refund exceeds autonomous limitEscalate
Human approval required
Action paused. Finance approver notified. Full decision context preserved.
The control gap
AI escaped the chat window.
A chatbot can be wrong. An agent can issue a refund, change code, export records, send a message, alter a workflow, or call a privileged tool.
Existing security controls protect pieces of the environment, but autonomous software introduces a new question: what is this specific agent allowed to do, right now, for this user, with this data?
The moment AI can act, security must act first.
Inherited and excessive authority
Agents often receive broad user credentials or service tokens that allow far more access than the workflow requires.
Tool calls become business impact
A prompt injection, poisoned context, or simple reasoning error can become a real action once an agent reaches enterprise tools.
Evidence arrives after the incident
Conventional logs rarely capture the agent identity, initiating user, intent, policy decision, approval, data touched, and outcome together.
Fugitive Control
Control the action, not just the conversation.
One vendor-neutral layer for discovering agents, defining authority, enforcing policy, containing risk, and proving what happened.
Discover
Inventory agents, models, owners, tools, MCP servers, credentials, sensitive data paths, and unattended workflows.
Map the action graphAuthority
Give every agent a bounded identity with least-privilege permissions, transaction limits, tenant boundaries, and expiration.
Define the mandateGuard
Allow, deny, redact, limit, transform, or escalate tool calls before they reach the underlying business system.
Enforce every actionTrace
Preserve a searchable action record with identity, context, data access, policy decisions, approvals, and outcomes.
Create defensible evidenceAssurance
Continuously test agent behavior and turn live control evidence into security reviews, governance reports, and customer assurance.
Prove the controlContain
Revoke an agent, credential, tool, workflow, or entire class of actions through a tested emergency control path.
Build the kill switchBetween intent and impact
Every action passes through a clear control path.
The product does not need to decide whether an AI is “good.” It needs to decide whether a requested action is authorized, safe, and provable.
01
Identify
Resolve the agent, initiating user, workflow, model, and tool.
02
Evaluate
Compare requested access, data, value, recipient, and context to policy.
03
Enforce
Allow, deny, redact, constrain, or require accountable human approval.
04
Prove
Record the policy decision, evidence, action result, and responsible parties.
Private browser diagnostic
Estimate your AI agent exposure.
Answer five control questions. The score is calculated locally in your browser and is not transmitted or stored.
Built for high-impact workflows
Start where autonomous actions create real business risk.
Fugitive Intelligence begins with organizations already putting AI agents near sensitive data, enterprise customers, code, money, and regulated decisions.
AI-native B2B SaaS
Ship agent capabilities without creating a new security-review blocker for every enterprise sale.
- Cross-tenant boundaries
- Production tool calls
- Customer assurance evidence
Financial services
Constrain transactions, research agents, operational automation, and access to proprietary models and data.
- Transaction thresholds
- Separation of duties
- Model and data protection
Healthcare technology
Keep agents within patient, tenant, purpose, and minimum-necessary data boundaries.
- Sensitive data paths
- Purpose-bound access
- Human clinical oversight
Insurance
Govern underwriting, claims, document, customer communication, and risk-evidence workflows.
- Decision traceability
- Approval controls
- Risk passport evidence
Founding customer program
Shape the control layer your agents actually need.
We are working with a small group of teams moving real agents into production. The program begins with a paid exposure review, then converts the highest-value controls into a focused deployment.
- Direct influence on product priorities and policy patterns
- Fixed-scope assessment with an implementation-ready control plan
- Reduced founding pricing for the first production workflow
- Vendor-neutral architecture with no model or cloud lock-in
Practical field resources
Use the control model before you buy the platform.
Printable, implementation-focused materials for security, engineering, governance, enterprise sales, and board conversations.
inventory → authority → action → evidence
Printable checklist
AI Agent Exposure Checklist
Forty concrete checks across inventory, identity, tools, data, approvals, containment, logging, and governance.
Open checklistagent → MCP gateway → enterprise tool
Engineering field guide
MCP Security Field Guide
A defensive baseline for identity, token handling, tool integrity, input validation, egress, sandboxing, and evidence.
Read the field guideautonomy + authority = accountable risk
Executive brief
The New Non-Human Insider
Explain agentic risk to a board without reducing the discussion to prompts, hallucinations, or generic AI policy.
Open the board briefCommon questions
Security that starts with authority.
Is Fugitive Intelligence another prompt-injection filter?
No. Prompt and content analysis are useful signals, but the core control is action-level authorization. Fugitive Control is designed to determine whether a specific agent may perform a specific action under the current context—and to enforce the decision.
Does this replace identity, API gateways, DLP, SIEM, or cloud security?
No. The platform is designed to use those systems as authoritative inputs and enforcement partners. Its job is to connect agent identity, delegated authority, tool intent, sensitive data, human approval, and action evidence across the existing stack.
What do you mean by vendor-neutral?
Policies and evidence should remain consistent when teams change models, agent frameworks, clouds, identity providers, or tool vendors. The control plane should not require one model provider to judge the security of every other provider.
What is the fastest way to engage?
Start with the fixed-scope AI Agent Exposure Review. It maps the current environment, identifies high-impact action paths, produces a prioritized control plan, and defines a production pilot around one or two workflows.