Policy-first · Audit-ready

Prooflane

Safe execution lanes for financial AI agents.

Policy checks, sandboxed simulation, and immutable logs — so agent workflows stay governed from design time through runtime.

Make agents audit-ready See capabilities

Policy-as-codeSandbox simulationImmutable audit trailsRuntime enforcement

The problem

Three compounding risks in financial agent deployments

Unbounded agents

Financial agents can trigger payments, execute trades, and touch sensitive data. Model errors, prompt injection, or missing policies turn into production incidents.

Generic copilots fall short

They suggest code but do not enforce financial policies, lack secure execution boundaries, and leave teams with brittle ad-hoc safeguards.

Regulatory pressure

Risk and compliance teams need documented policies, evidence of enforcement, and full audit trails — or approvals stall and exposure grows.

Solution

Policy-driven safety across the full agent lifecycle

Prooflane embeds safety at design time, pre-production, and runtime — as the foundation of the development workflow, not an afterthought.

Policy-as-Code

Define rules such as “no transaction above X without approval,” then apply them to agents, workflows, and environments.

max_tx <= 10000 || requires(approval)

Code & workflow analysis

Static and dynamic analysis that flags wallet access, unbounded loops, and unguarded external calls before they ship.

detect: wallet.write | unbounded.loop

Sandbox simulation

Run agents against mock accounts and markets, capture traces, and produce human-readable explain plans for review.

simulate --env banking.mock

Immutable audit trails

Record actions, decisions, and policy evaluations in tamper-evident storage with exportable reports for auditors.

anchor: audit.bundle → sealed

User flows

Built for the people who ship — and the people who sign off

Developers

Step 1

Integrate

Install the CLI and IDE plugins. Mark agent workflows and sensitive actions in code.

Step 2

Attach policies

Apply policies or templates to projects and environments. Fail CI builds that violate rules.

Step 3

Simulate & review

Run sandbox simulations, inspect explain plans, and share reports with stakeholders.

Step 4

Deploy governed

Ship with logging and policy hooks. Optionally connect Arbitraagent for runtime enforcement.

Security & compliance

Step 1

Define policy

Set organisation-wide rules with templates for payments, trading, and customer support.

Step 2

Review & approve

Evaluate Prooflane reports and simulations. Approve or request changes before release.

Step 3

Audit & oversee

Monitor logs for incidents and extract evidence for regulatory reporting.

Technology

A stack that sits where agents are built and where they run

Policy engine

Evaluates policies at build time and influences runtime, expressed in a flexible DSL for complex conditions.

Analysis engine

Static analyzers for agent code and configuration, plus dynamic analyzers for simulation runs.

Sandbox environments

Mock banking, trading, and crypto environments with synthetic data and controlled scenarios.

Audit & logging

Structured logs of actions, decisions, and policy evaluations — with optional on-chain anchoring.

Integrations

CI/CD: GitHub Actions, GitLab, major pipelines
IDEs: VS Code, JetBrains
Runtime: Meridiancopilot, Arbitraagent
Compliance: Halcyon for policy orchestration

Who it serves

One toolchain for builders, reviewers, and risk owners

For developers

Prevent risky agent behaviour before and during deployment — inside the tools you already use.

For security teams

Cut time spent on audits and reviews with simulations, explain plans, and exportable evidence.

For institutions

Sticky, compliance-aligned tooling that maps to how AI governance budgets are already spent.

Target customers

Fintechs and banks shipping agents in payments, trading, support, and risk
Crypto and DeFi teams deploying agents that touch real funds

Next step

Make your agents audit-ready.

Let's talk about your agent workflows, policies, and compliance bar.

contact@prooflane.io