Role Agentic AI

Privacy guardrails for autonomous AI.

Agentic AI systems read, write, and act on personal data at machine speed. Clarip gives Fortune 2000 enterprises the consent, governance, and audit layer needed to deploy agents responsibly under GDPR, CCPA, and emerging AI regulations.

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OpenAI · Anthropic · Google Gemini · Microsoft Copilot · AWS Bedrock

AI privacy snapshot
92%
of enterprises piloting agentic AI in 2026
$15M+
average projected cost of a major AI privacy incident
EU AI Act
in force with strict obligations on high-risk AI
100%
of agent calls audited and consent-checked by Clarip

The challenge

AI Systems Create New Privacy and Governance Risks.

From LLM training data and autonomous agents to prompt leakage and emerging AI regulations, organizations must govern how AI systems access, process, and expose personal data across every workflow.

Models trained on PII

LLMs and agents ingest customer data, often without a clear lawful basis or downstream traceability.

Autonomous data actions

Agents execute multi-step workflows that touch CRM, email, and databases, each step a privacydecision.

Prompt & output leakage

Sensitive data in prompts can resurface in responses, logs, or third-party model providers.

AI-specific regulation

EU AI Act, Colorado AI Act, and global rules add transparency, opt-out, and risk-assessment duties.

Capabilities

Operationalize Privacy and Governance Across AI Agents & LLM Workflows.

Enforce consent-aware AI interactions, redact sensitive data from prompts, audit every agent action, assess AI risk continuously, and apply policy-driven governance across autonomous systems, copilots, and generative AI platforms.

Consent-Aware Agent Calls

  • Block agent actions on users who opted out
  • Pass consent context into every model invocation
  • Honor universal opt-out signals (GPC) automatically

PII Redaction & Tokenization

  • Strip identifiers from prompts before they reach the model
  • Re-identify safely on the return path when authorized
  • Prevent training data contamination

Agent Activity Audit Trail

  • Immutable log of every agent action on personal data
  • • Per-user transparency reports for DSR responses
  • • Evidence package for regulators and internal audit

AI Risk Assessments

  • Auto-generate AI impact assessments (AIA / DPIA)
  • Map use cases against EU AI Act risk tiers
  • Continuous monitoring for model drift and new risks

Prompt & Output Scanning

  • Detect PII, secrets, and regulated data in prompts
  • Flag unsafe responses before they reach end users
  • Alert privacy and security teams in real time

Policy-as-Code for Agents

  • Define data handling rules once, enforce everywhere
  • Versioned policies tied to specific agents and tools
  • Approval workflows for high-risk actions

Use Cases

Built for Privacy-Aware AI Agents and Enterprise Copilots.

Customer service agents

Let AI handle support tickets while honoring every consent choice and DSR-in-progress hold.

Sales & marketing copilots

Generate personalized outreach without using data the customer asked you not to use.

Internal knowledge agents

Surface enterprise knowledge to employees without leaking customer or HR PII.

Data analyst agents

Explore datasets through natural language queries that respect minimization and purpose limitation.

Customer story

"Clarip lets us ship agentic AI with confidence, every prompt is screened, every action is logged, and our DPO has a real-time view into how AI touches customer data."

Prevailing sentament among AI leaders

100%

of agent actions consent-checked

0

PII leaks into model providers in 12 months

Deploy Agentic AI without the privacy risk.

See a tailored walkthrough of how Clarip secures your agent stack, from prompt to action to audit log.

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