Privacera AI Governance Overview
Optimize and modernize with Privacera’s Unified AI Governance
Generative AI and large language models (LLMs) revolutionize enterprise operations and customer interactions. For true success, you must do it securely and responsibly with data privacy, security, and compliance. Revolutionize across your modern data, analytics, and AI enterprise estates with Privacera AI Governance (PAIG).
AI-Powered Data Governance and Security for GenAI Apps
Built on the existing strengths of Privacera, PAIG combines purpose-built AI and LLMs to drive your dynamic, consistent, enterprise-wide security, privacy, and access governance.
Real-time discovery
and tagging with PAIG
Training data for generative AI models and embeddings are continuously scanned for sensitive data attributes, then easily tagged. You can leverage more than 160 prebuilt classifications and rules. Your organization can expand on these based on your unique requirements.
PAIG offers data access controls, masking, and encryption
Fine-grained data-level controls are established based on your sensitive data discovery and tagging. Efficiently mask, encrypt, and remove sensitive data in your pre-training data pipeline.
Policy-based allow/deny prompts and responses
Real-time scanning of user inputs and queries for sensitive data elements. Apply appropriate privacy controls based on user identity, data access permissions and governance policies with Privacera’s AI Governance.
Redact/de-identify sensitive data with PAIG
Real-time scanning for sensitive data elements in model responses. Apply appropriate controls based on user identity and data access permissions.
PAIG offers AI-powered auditing and monitoring
Continuous monitoring and collection of all model usage, user behaviors, responses, and access events into LLMs to drive analytics into usage, security, and risk patterns.
PAIG Open Source Streamlining Development Of Secure GenAI Apps
Generative AI apps is the new frontier for organizations, but securing and governing sensitive and private data in those models and apps are proving to be a major block. Privacera turned their industry leading GenAI security and governance product (PAIG) into an open source project to accelerate the development and reduce the friction for developers who want to get started quickly.
Comparing PAIG Cloud vs PAIG Open Source
PAIG OSS | PAIG Cloud | |
---|---|---|
Best suited for | Individual developer or data scientist to build their own GenAI application | Enterprise-wide usage to successfully run and secure a GenAI application in production |
Key functional capabilities | PII detection module, policy manager, API support | Security, performance, analytics |
Metadata tagging in vector DB | Yes | Yes |
PII Detector in prompts | Yes | Yes |
Policy manager | Yes | Yes |
Toxicity Filter | Yes | Yes |
Auditing | Yes | Yes |
Observability | Yes | Yes |
Deployment | Customer Managed | Privacera Managed (SAAS) |
Enterprise Support | Yes | |
Multi-tenant (SaaS) | Yes (SAAS) | |
Performance testing | Yes | |
High availability | Yes | |
SOC2 Certification | Yes |
Use GenAI to Safely Disrupt Your Industry and Workforce
Govern your AI or lose more than you gain.
Resources to help you fast track
the value of all your data responsibly
- Ensure secure and compliant AI model training.
- Automate sensitive data protection and access.
- Obtain real-time AI usage and risk analytics.