Every AI action.
Cryptographically proven.
The model reasons. The agent acts. Your systems decide. Proviguard governs every boundary in between — and proves it, not just logs it.
Policy → Interception → Evidence — one boundary, every model call, every agent action.
AI agents already act. Proof rarely keeps up.
AI agents are already approving payments, screening transactions, and drafting regulated communications inside financial institutions — and for most, the ability to prove what an agent did hasn't kept pace with what it's allowed to do.
The agents are already in production. The trust isn't.
85% of financial institutions already have AI agents in production. Only 5% trust them enough to ship without a human checking every decision. That gap — not the technology — is what actually stalls a fintech AI program.
Shadow AI is no longer the exception. It's nearly half of all AI incidents.
Shadow-AI-linked breaches jumped from 20% to 43% of AI incidents in a single year, averaging $4.63M — $670K above a standard breach. In a regulated institution, that's not just an incident. It's a compliance finding.
It's already the #1 LLM risk. Most teams still have no defense for it.
Prompt injection — OWASP's #1 LLM risk — surged 340% year-over-year, with indirect injection now over half of observed attacks. Most fintech AI deployments have no dedicated defense for it.
One prompt is all it takes to leak regulated data
Every prompt sent to a third-party model provider is a potential PII exposure — a name, an account number, a health detail — unless something intercepts it first. Most fintech AI deployments have no tokenization layer in the path at all.
Regulation is catching up to AI faster than most programs are.
The EU AI Act and evolving supervisory guidance are moving to regulate AI usage for high-risk decisions — credit decisions, fraud detection, and more. ISO 42001 itself admits its own audits are only "partial" for agentic systems.
Agentic AI still isn't named in the rules meant to govern it. That's not relief — it's exposure.
The Fed, OCC, and FDIC's latest model-risk guidance (SR 26-2) explicitly excludes agentic AI from its scope. Build the control now, on your terms — or retrofit it later, on a regulator's timeline.
Stats compiled from public industry research on AI adoption, breach cost, and attack trends (2026) — cited for market context, not as Proviguard-measured figures.
One control plane between every caller and every system.
Human reviewers, chatbots, LangChain and CrewAI agents, and custom SDKs all call through the same governed boundary — before anything reaches a model, a tool, or an internal system.
Your contracts already say what's allowed.
We make them enforce it.
Upload a signed MSA, DPA, or vendor agreement. Proviguard extracts the operative clauses, a human ratifies them, and from that moment the agreement isn't a PDF in a shared drive — it's a live rule your AI systems are held to, cited verbatim on every decision it touches.
- Ingest a signed agreement — no separate policy-authoring step required.
- AI-assisted extraction of the operative clauses — obligations, limits, and scope.
- Human ratification under four-eyes approval before anything goes live.
- Enforced as policy — cited verbatim on every decision it touches, from day one.
Five domains. One control plane.
Agentic governance, AI security, regulatory compliance, AI privacy, and shadow AI elimination — five domains that write to the same signed, hash-chained record, so compliance, security, and risk teams are always looking at the same source of truth.
Agentic Governance
Nothing acts beyond what you allowed — provably. Every caller, human or agent, carries a scoped identity and an enforced policy, down to the spend cap.
AI Security
The fastest-growing attack has nowhere to land. Injection defenses run at the request path, and every agent gets only the scope its decision actually needs.
Regulatory Compliance
When someone asks what happened, you have proof — not a promise. Every decision is hash-chained and signed, mapped directly to the frameworks you're held to — see below.
AI Privacy
Data you never expose can't become a liability. Sensitive data is tokenized before a model or tool ever sees it — reversible, never lossy redaction.
Shadow AI
See every AI call in your company — because there's no other way to make one. A base-URL swap routes every LLM call through Proviguard instead of a personal key, closing the blind spot rather than policing it.
One request. One record. All five domains read and write the same evidence chain — nothing reconciles after the fact because nothing was ever separate.
Mapped to the frameworks your regulators and auditors already ask about.
Proviguard doesn't replace your compliance program — it gives it a live, cryptographic evidence base to point to.
Framework mapping reflects Proviguard's policy engine design. It supports — and does not replace — your organization's own compliance program and legal review.
Built for regulated industries.
Starting with the ones that can't wait.
Proviguard is purpose-built for environments where governance, security, privacy, and compliance all have to hold together — not just one of them.
Banking, Fintech & Payment Facilitators
The sharpest edge of AI risk — real money, real regulators, real consequences. Proviguard governs it today across security, privacy, and compliance together.
- Loan underwriting agents that extract income and bureau data and draft adverse-action letters — governed end-to-end as one auditable episode.
- Real-time fraud detection — sub-500ms transaction scoring with policy-based escalation instead of blind blocking.
- AML investigation agents chaining sanctions screening, transaction history, and case-note generation into an evidence-backed SAR narrative.
- KYC/KYB agents orchestrating document extraction, identity verification, and human sign-off — PII tokenized inside your VPC.
- Payment pre-authorization across wire, ACH, and RTP rails, with structuring and velocity checks before execution.
- Vendor payment diversion detection — catching a payment routed to bank details that silently diverged from the vendor master file.
- Contract-to-control enforcement — a signed MSA or DPA becomes a live, cited rule the moment it's ratified.
- Full episode reconstruction handed to a regulator or auditor: who acted, on whose authority, what was approved, blocked, or escalated.
Insurance
Claims, underwriting, and servicing agents create the same proof problem banking does — with its own regulatory language. VerticalPack in development.
- Claims-triage agents reasoning over policy documents and adjuster notes.
- Underwriting agents pulling third-party risk data into a bindable decision.
- Policy servicing and cancellation workflows with human-in-the-loop review.
Roadmap — reach out if you'd like to help shape this VerticalPack as a partner.
Healthcare
Clinical and operational agents touch PHI and take actions with real consequences. VerticalPack in development.
- Prior-authorization and utilization-review agents.
- Clinical documentation agents operating under HIPAA-scoped data handling.
- Patient-facing agents with human escalation for clinical judgment calls.
Roadmap — reach out if you'd like to help shape this VerticalPack as a partner.
Legal
Contract-heavy, precedent-bound, and allergic to ambiguity — legal teams are a natural extension of Proviguard's contract-to-control model.
- Contract review and clause-extraction agents feeding directly into enforced policy.
- Outside-counsel spend and scope-of-engagement enforcement.
- Matter-management agents with a full evidentiary trail for privilege and audit.
Roadmap — reach out if you'd like to help shape this VerticalPack as a partner.
Deploy where your data already has to stay.
The same policy engine and evidence chain, in whichever footprint your regulators and infrastructure team require.
Cloud SaaS
Fastest path to production.
multi-tenant · isolated
- Proviguard-hosted, fully isolated per customer
- Fastest onboarding, minimal infra lift
- Full platform: policy, evidence chain, reporting
Hybrid VPC
Sensitive data never leaves your network.
Token Vault + Screening
- Token Vault and regulatory screening run inside your VPC
- Policy authoring and reporting stay with Proviguard
- PII never crosses your network boundary
Air-Gapped Enterprise
No external dependencies, no exceptions.
Full stack, on-premise
- Data plane, control plane, and evidence chain — all on-premise
- Zero external network calls in the request path
- Full control over upgrade and patch cadence
Nothing skips the check.
Nothing checked stays unproven.
Whether it's a single prompt or a forty-step autonomous agent, every action passes through the same boundary — and comes out the other side as signed, chained evidence, not just a log someone could edit later.
This loop repeats at every step of a multi-step agent workflow — not once at login. We call a governed multi-step run an Episode.
Live in days, not quarters.
Governance from the first call — adopted incrementally, on your timeline, never a prerequisite.
Base-URL swap
Any OpenAI-compatible SDK, today. Zero refactor — governance from the first call.
Native framework adapters
LangChain and CrewAI, for policy-aware tool calls and multi-agent routing — not just chat completions.
MCP-native
Any MCP client — Claude Desktop, ChatGPT Desktop, Cursor, or a custom agent — connects straight to a Proviguard-governed MCP server.
Proviguard Agentic Protocol
Opt-in. Structured action mandates your agents emit directly, for full cryptographic evidence fidelity — adopted on your timeline.
Advisory Mode
- Every call observed and scored against policy — nothing blocked, nothing held.
- Builds a real evidence baseline before a single action is ever gated.
- Safe to turn on anytime on live traffic, with zero impact.
- Shows exactly what Live Mode would have caught, before it's binding.
Live Mode
- Full enforcement — injection blocking, spend caps binding, HITL holds active.
- Gradual rollout — start with your riskiest workflows and decision types.
- Regulatory floors become binding, not advisory, the moment you switch.
- The same evidence chain, now the record of record instead of a preview.
Data plane and control plane traffic is mutually authenticated and signed — never a shared static secret.
Everyone else builds one piece. We tied them together for regulated finance.
Swipe to see the full comparison →
| Category | Sees the AI call | Knows the decision | Enforces the contract | Can refuse the action | Audit-ready evidence |
|---|---|---|---|---|---|
| AI gateways | |||||
| AI security | |||||
| Observability | |||||
| Agent governance | |||||
| GRC platforms | |||||
| Payment fraud tools | |||||
| Proviguard in-line transaction control |
● full ◐ partial — none. Based on publicly described category capabilities, not an exhaustive comparison.
Questions we get from compliance and engineering teams.
tools/list forever.