The governance layer of the Behest control plane
Keep sensitive data and bad prompts out of your AI.
See the passwords, secrets, and personal data people send to AI models on calls through Behest and on connected machines at the sharing level you choose, plus the users and machines whose AI use looks automated. On calls through Behest, scrub private data, block prompt attacks, and control which teams can use which models, with a record your security and risk teams can stand behind.
The short version
What is Behest's AI governance?
See what leaks into AI. Behest's AI governance flags secrets, personal information, and automated AI use. On calls through Behest, Behest's enterprise AI control plane scrubs PII, stops prompt attacks, and keeps an audit trail.
What Behest detects
Behest detects these on calls through Behest and on connected machines at the sharing level you choose. It flags what it finds and shows it to you, so you can decide what to do next.
Employee automation
Behest flags AI use that looks automated: activity around the clock, at high volume, or in bursts. You see what that use costs and what it does.
Passwords and secrets sent to AI models
On calls through Behest and on connected machines at the sharing level you choose, Behest flags passwords, API keys, tokens, and other secrets in what people send to AI models, and masks them wherever Behest displays them.
PII sent to AI models
On calls through Behest and on connected machines at the sharing level you choose, Behest flags personal information in what people send to AI models, so you can see when and where it happens.
Enforce AI governance on calls through Behest
Detection shows you what is happening. For model calls that run through Behest, you can also enforce policy: scrub PII, defend against prompt injection, restrict which models each team can use, and keep an audit trail. PII scrubbing and prompt-injection defense are on the Enterprise plan.
Scrub sensitive data on calls through Behest
Personal and confidential information is found and removed before a prompt ever reaches a model, so private data does not end up in an AI provider's logs.
Screen prompt attacks on calls through Behest
Behest screens incoming prompts for attacks and abuse and stops the bad ones, so no one can hijack your AI features or pull data they should not see.
Control which teams use which models
Decide exactly which AI models each team is allowed to use, and keep a record of every call, so approvals and audits are simple and nothing runs off the books.
Discover shadow AI before you govern it
You cannot govern AI you cannot see. Much shadow AI lives in coding assistants, desktop AI apps, and CLI tools that reach AI services straight from a laptop and never pass a gateway. Behest Radar is a free, observe-only app that shows which AI services a machine is using, and machines an organization connects to Behest Control appear in one device inventory.
Once you know what is in use, route the AI you sanction through Behest. Model access rules and the audit trail apply to every call, and PII scrubbing and prompt-injection defense are on the Enterprise plan.
Built for your compliance and risk reviews
Selling AI into a regulated enterprise means answering to legal, security, and AI risk teams. Behest gives them what they ask for: a record of every AI call through Behest, clear model approvals, no-train commitments in the contract, and controls you can map to frameworks like the EU AI Act and the NIST AI Risk Management Framework.
Behest does not assign a risk class on your behalf. Your organization documents its own prohibited and high-risk uses, using the artifacts we provide during enterprise review.
Frequently asked questions
- What is AI Governance in Behest?
- Behest flags passwords, secrets, and personal information sent to AI models on calls through Behest and on connected machines at the sharing level you choose, and spots users and machines whose AI use looks automated. On calls through Behest, it also removes personal information before the model sees it, screens prompts for attacks, limits which models each team can use, and keeps an audit record.
- Can Behest detect passwords or PII sent to AI models?
- Yes. On calls through Behest and on connected machines at the sharing level you choose, Behest flags passwords, API keys, tokens, other secrets, and personal information sent to AI models, and masks secrets in what Behest shows. Detection gives your security team visibility. On calls through Behest, PII scrubbing can also remove personal information before it reaches the model, on the Enterprise plan.
- How does Behest spot employee automation?
- Behest looks at AI activity per user on calls through Behest and per machine on connected machines at the sharing level you choose. Activity around the clock, at high volume, or in bursts suggests that use is likely automated, so Behest flags it and shows what it costs and what it does. Your team can then review that automated use and decide whether it should run that way.
- How does Behest support the EU AI Act?
- Behest is built for companies that classify their own use-case risk under the EU AI Act. It supports the transparency records buyers need, like model disclosure, approved-model lists, and change-notification commitments in enterprise agreements, plus audit-ready logging. Your legal team makes the final risk classification.
- How does Behest map to the NIST AI Risk Management Framework?
- Behest lines up with the NIST AI RMF functions enterprises already use: Govern (policy and approvals), Map (visibility into data flows and model use), Measure (usage, cost, and safety signals for each call), and Manage (budgets, kill switches, and response hooks). The exact mapping is documented in enterprise security reviews.
- Does Behest use customer prompts to train AI models?
- No. Enterprise agreements include contractual no-train language, and Behest expects the same commitment from upstream providers, in line with 2026 procurement standards. Your legal team sees the exact clauses during review.
- How does Behest help with shadow AI?
- In two steps. Behest Radar, a free, observe-only app, discovers which AI services employee and developer machines reach, including coding assistants and CLI tools that skip the gateway. Behest then governs the AI you sanction with model allowlists, an audit trail, and budgets, with PII scrubbing and prompt-injection defense on the Enterprise plan.
- Can we control which AI models each team is allowed to use?
- Yes. Your administrators decide which models each team can call. Calls through Behest to anything outside that list are blocked, so a new provider cannot appear without a deliberate policy change. That keeps unapproved shadow AI and model sprawl in check.
One control plane for security, finance, and developers
Security gets the detections and controls on this page. Finance gets AI Token FinOps to keep AI spend under control. Developers ship faster because the controls are already built in. Book a demo to see it on your own AI stack.
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