WhiteFin is the execution layer of the AI agent stack — Layer 4 — the layer that governs the gap between what the agent decides and what the tool actually runs. It enforces at the kernel boundary using eBPF, intercepting every system call an agent makes before it completes, denies by default, and provides verifiable evidence that the action came from the agent's stated intent.

How is WhiteFin different from prompt filters or monitoring tools?

Prompt filters look at what the model says. Monitoring tools observe what already happened. WhiteFin enforces at the kernel boundary — it intercepts every system call before it completes and refuses the ones that are not explicitly approved. Observation is useful but it is not enforcement — agents do not slow down for monitors that cannot say no.

What is Causal Provenance?

Causal Provenance is the verifiable evidence that an agent's action actually came from its stated intent. Cryptographically signed. Tamper-evident. Independently verifiable without trusting WhiteFin.

How long does it take to get to enforcement?

Fifteen days. Two weeks of shadow-mode observation, one day of policy review, one day to flip the switch. You do not author the policies; we generate them from what your agents actually do, and you approve them before anything goes live.

Can WhiteFin be deployed air-gapped?

Yes. Two deployment options: self-hosted and air-gapped. The enforcement guarantees are identical across both; you pick by data-residency and audit posture.

ToolGuard: Securing AI Function Calling in the Enterprise

Gilad GabayJanuary 8, 20261 min read

As AI agents gain the ability to execute tools and access resources, security becomes critical. Learn how ToolGuard provides policy-based governance.

ToolGuard: Securing AI Function Calling in the Enterprise

AI agents are getting more powerful. They can now execute code, access databases, make API calls, and interact with external systems.

The Risk of Uncontrolled Tool Access

Consider an AI assistant with access to:

File system operations
Database queries
HTTP requests
Email sending

Without proper controls, a malicious prompt could:

Delete critical files
Export sensitive data
Send unauthorized emails
Access restricted systems

Enter ToolGuard

ToolGuard is WhiteFin policy-based governance layer for AI tool execution.

Key Features

JSONPath Conditions - Match on any argument structure
Per-User Policies - Different rules for different roles
Audit Logging - Every tool call is logged
Rate Limiting - Prevent abuse with per-tool limits
Result Sanitization - PII redaction in tool outputs

#toolguard#function-calling#security

Gilad Gabay

Co-Founder & Chief Architect

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