AIRiskGuard Gateway sits between your developers and their AI tools — logging, enforcing policy, and generating the audit trail your risk and compliance teams need.
Every developer on your team makes hundreds of AI API calls a day. None of it is visible to the risk function — until something goes wrong.
When a regulator asks what data was sent to an AI model last quarter, the answer is: "We don't know." That's not acceptable in a regulated environment.
Developers routinely paste customer data, credentials, and internal documents into AI tools. It happens daily. No one catches it in real time.
You have an AI usage policy. You have no way to enforce it. Model allowlists, data classification rules, and output controls exist only on paper.
Your model risk manager has frameworks for traditional models. AI coding tools and LLM-powered features sit entirely outside those frameworks.
AIRiskGuard Gateway routes AI API calls through a local proxy on each developer's machine. Nothing changes in their workflow. Everything becomes visible to you.
Built by people who understand model risk management, not just application security.
Every prompt, response, model, latency, and cost — captured and stored with tamper-evident logging. Searchable, exportable, SIEM-ready.
Detects and redacts personally identifiable information before it leaves your network — names, account numbers, health data, credentials.
Push model allowlists, data classification rules, and output controls to every developer machine from a single policy server. No manual updates.
Usage patterns, policy violations, cost by team, and model distribution — a live view for risk managers and eng leads alike.
Real provider keys stay server-side. Developers get gateway-issued tokens. No more API keys scattered across developer machines.
Generate audit-ready evidence packages for EU AI Act, SOC 2, ISO 42001, and SR 11-7 model risk reviews — on demand, not scrambled together at audit time.
Not a developer toy. Infrastructure for organizations where AI governance is a requirement, not a nice-to-have.
Your model risk policy covers traditional ML. Regulators are starting to ask the same questions about LLMs. AIRiskGuard bridges that gap with the logging and controls your MRM team can actually use.
Prevent PHI from reaching external AI providers. Enforce approved model lists. Generate the documentation your privacy officer needs when developers use AI to build patient-facing features.
Privilege and confidentiality obligations don't pause when developers use AI. AIRiskGuard ensures client matter data isn't passed to third-party models without detection and logging.
AIRiskGuard's controls and evidence outputs are designed around the frameworks regulators and auditors already expect.
Talk to us about what your risk and compliance team actually needs. We'll show you how Gateway fits in.