Data Protection
Find sensitive information in prompts, files, and responses. Your policy decides what can proceed, what needs redaction or review, and what must stop.
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Sensitive data is leaving through AI
Every prompt, file, and response is a path out of the business. Most controls never see it.
Prompts carry more than questions
Customer records, credentials, and regulated content get pasted into AI tools every day.
1 in 12 prompts contains sensitive data
Blanket blocking stalls adoption
Blocking AI outright pushes teams to unsanctioned tools you cannot see.
57% of employees use unapproved AI
Regulators expect proof
GDPR, HIPAA, and PCI DSS audits now ask how AI handles protected data.
$4.9M average cost of a data incident
From all or nothing to policy by policy
Scattered and ungoverned
- Allow everything and hope nothing leaks
- Or block AI and watch shadow tools grow
- Pattern matching misses context
- No record of what was shared
One governed workspace
- Allow, redact, hold, or block per policy
- Teams keep working with sensitive spans removed
- Semantic context on data, actor, destination, and intent
- A decision trail for every event
Protection in three steps
- 1Choose
Start from proven policies
300+ out-of-the-box policies by industry, geography, and framework.
- Financial services
- Healthcare
- Public sector
- 2Detect
Scan everywhere
Prompts, files, and responses across the surfaces you govern.
- Prompts
- Files
- Responses
- 3Decide
Apply the action
Allow and record, redact in place, hold for human review, or block.
- Redact
- Hold
- Block
Sensitive data stays in. The work keeps moving.
Built for every team that answers for data
Stop credentials, access keys, and customer records from reaching a model, without blocking the work.
- Detection across prompts, files, and responses
- Hard rules stay deterministic
- Every decision on the trail
Keep personal data out of model context and prove it, request by request, with records built for regulators.
- PII and PHI detection with redaction in place
- Hold for review on judgment calls
- Evidence mapped to GDPR and HIPAA
Map every policy to the frameworks you answer to and generate reports from the same decisions that enforce policy.
- 300+ policies with framework mappings
- Decision timestamps for audit
- Reports for SOC 2, GDPR, and HIPAA
Approve one workspace across the models your teams want, with budgets and access that follow identity.
- Approved model catalog
- Budgets by team, user, and model
- SSO and existing identity groups
Start with policies built for your business
Configure detection patterns, severity, actions, and framework mappings, then apply them across the surfaces you govern.
- Financial services, healthcare, and public sector
- US SSNs, EU national IDs, regional requirements
- GDPR, HIPAA, and PCI DSS mappings
Protect data going in and coming out
The same policy pipeline checks governed requests before the model call and responses before delivery.
- Email addresses removed before the model
- Credentials removed before the user
- Hold for review when judgment is needed
It takes AI to secure AI
Specialist agents interpret each interaction in context, using company knowledge, permissions, and policies from your Security Context Graph.
- Semantic security
Infer intent
Distinguish instructions from content. Check intent against the authorized task.
- Semantic security
Classify sensitive data
Interpret entities and concepts using company knowledge and access rules.
- Semantic security
Reason about actions
Evaluate proposed tool calls and actions against identity, permissions, and policy.
Start where you are
Diagnose first, or turn protection on and judge it by the results.
Data exposure assessment
A structured read of how sensitive data moves through AI today, with the gap list and a policy plan.
Request an assessment30-day free trial
Turn on data protection policies against your own AI traffic and judge the results.
Start your trial
Questions buyers ask
What happens when a policy fires?
The configured action allows and records, redacts in place, holds for human review, or blocks. A redacted request can continue without the sensitive span.
Where does enforcement happen?
Policies apply across the Secure Enterprise AI Workspace, gateway, API, and agents.
Are raw prompts retained as evidence?
The decision trail records metadata without duplicating prompt or response bodies. Held items are visible to designated reviewers until decided.
Can we define our own sensitive data?
Yes. Add your own detection patterns, terms, and document classes, set severity, and map them to the frameworks you report against.
Products that power Data Protection
Set the policy for your data
One secure workspace for chat, agents, and company knowledge, with security and governance built in.
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- Detect
- Redact
- Hold
- Block