Prism-X Browser DLP
Control consumer AI usage with institutional-grade DLP.
Protect corporate data within third-party LLMs: automated PII redaction, real-time guardrail enforcement, and audit-ready reporting for browser-based AI interactions.
Success
Action Blocked, SSN detected
Prism X
Every decision, every timestamp, every policy version, exportable and verifiable
Structured events back to your tenant support security operations, compliance review, and regulatory evidence, at the granularity your privacy model allows.
- Enforcement decisions logged with rule, category, disposition, and policy version
- Policy changes, device registration, and admin actions all captured
- Privacy controls: configurable user-identification granularity
- Append-only with configurable retention to match your framework
The problem
Auditors don't accept screenshots and assurances. They want structured evidence: what controls were active, when, under which policy version, and across what percentage of the fleet. Without an append-only event record, every audit becomes archaeology.
Capabilities
What you get with Prism X
Enforcement events
Timestamp, AI destination, rule ID, pattern category, disposition (Allow / Warn / Block / Redact), and policy version. Sensitive content redacted at source; the backend never sees raw matches.
Policy changes
Who changed what, when, version diff, and approval metadata. Queryable history for change advisory boards and auditors.
Device registration and policy fetch
Device ID, enrollment time, policy version received, signature verification result, and last heartbeat for every managed endpoint.
Administrative actions
Operator login, rule create / modify / delete, export requests, role changes. The complete administrative trail your auditor expects.
Privacy controls
Configurable user-identification granularity: full identity (where individual accountability is required), pseudonymized, or group-level attribution. Your privacy and legal team determines the level.
Compliance evidence workflow
Define audit period and scope, export structured events, attach to evidence packages with policy version history and fleet coverage. Map directly to specific framework controls.
How it works
From instrumentation to evidence
- 1
Log every decision
Enforcement decisions, policy changes, device registrations, policy fetches, and administrative actions are written to the tenant as structured events.
- 2
Apply privacy controls
User identification granularity is configurable, from full identity to pseudonymized or group-level attribution, set by your privacy and legal team.
- 3
Export for evidence
Define the audit period and scope, export in machine-readable format, and attach to compliance evidence packages alongside policy version history and fleet coverage.
- 4
Retain with integrity
Events are append-only in your tenant. Retention is configurable to meet regulatory requirements. Event integrity is verifiable against the signed policy version that produced each decision.
What teams use it for
In production, every day
SOC 2 evidence package
Export enforcement events for the audit period, map them to control objectives, and attach the policy version history that backed each decision.
Regulator inquiry on a specific date
Answer "what policy was in effect on [date]?" with version history, change metadata, and event counts under that version.
PHI exfiltration attempt summary
Filter events by pattern category to produce a count of blocked PHI-to-AI attempts over the quarter.
Event catalog
What gets logged
| Event type | What it contains | Used for |
|---|---|---|
| Enforcement decisions | Timestamp, AI destination, rule ID, pattern category, disposition, policy version | Allow / warn / block / redact decisions with full context |
| Policy changes | Who changed what, when, version diff, approval metadata | Queryable history of policy evolution |
| Device registration | Device ID, enrollment time, policy version received, last heartbeat | Fleet coverage and currency reporting |
| Policy fetch | Device ID, fetch time, policy version received, signature verification result | Proof that signed policy was applied |
| Administrative actions | Operator login, rule create / modify / delete, export requests, role changes | Operator accountability trail |
Event type
Enforcement decisions
What it contains
Timestamp, AI destination, rule ID, pattern category, disposition, policy version
Used for
Allow / warn / block / redact decisions with full context
Event type
Policy changes
What it contains
Who changed what, when, version diff, approval metadata
Used for
Queryable history of policy evolution
Event type
Device registration
What it contains
Device ID, enrollment time, policy version received, last heartbeat
Used for
Fleet coverage and currency reporting
Event type
Policy fetch
What it contains
Device ID, fetch time, policy version received, signature verification result
Used for
Proof that signed policy was applied
Event type
Administrative actions
What it contains
Operator login, rule create / modify / delete, export requests, role changes
Used for
Operator accountability trail
Auditor questions
What auditors actually ask for (and what Prism X produces)
Were DLP controls active during the audit period?
Event volume by date with zero-gap coverage demonstrating continuous enforcement.
What policy was in effect on a given date?
Policy version history with change metadata, signed and queryable.
How many attempts to send PII to AI tools were blocked?
Category-filtered event counts over the requested time range.
What percentage of endpoints are covered?
Fleet enrollment and policy currency reports tied to specific policy versions.
Privacy controls
Events are structured to support your privacy model. User identification granularity is configurable, from full user identity (where individual accountability is required) to pseudonymized or group-level attribution (for privacy-sensitive deployments). Your privacy and legal team determines the level; the system supports both.
Deliverable
Compliance evidence workflow
Define the audit period and scope (all events, specific rules, specific user groups). Export structured event data in machine-readable format. Attach to compliance evidence packages alongside policy version history and fleet coverage. Map to specific framework controls: "Control X.Y requires evidence of data loss prevention; here are N enforcement events over the audit period under policy versions M through P."
Regulatory alignment
Built for Compliance, Incident Response, Security
Related capabilities
AI DLP: Data Loss Prevention Rules for ChatGPT, Claude, Gemini
Pattern-based and contextual detection for PII, PHI, credentials, and confidential markers, with validators that reduce false positives and priority ordering that keeps outcomes explainable.
Enterprise AI Extension Deployment: Intune, Google Admin, Jamf
Enterprise configuration via MDM: push policy keys, API endpoints, and trust material to managed browsers without touching individual machines.
DLP Coverage: ChatGPT, Claude, Gemini, Copilot
Prism X integrates with the browser-based AI tools your workforce already adopted: not a theoretical list, but the chat and upload surfaces people use daily.
Prism: AI Observability and Governance Platform
PRISMtrace is the observability and governance platform for teams running LLMs and AI agents in production. Capture traces, enforce guardrails, evaluate quality, and generate compliance evidence from one platform.
Start tracing in 5 minutes
One SDK. Five minutes. Full audit trails, PII redaction, and guardrail enforcement, from day one.