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Privacera AI Governance Overview
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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).
Vector Database Protection
Privacera AI Governance (PAIG) fortifies GenAI applications by replicating source-system policies and controls into Vector Database controls. This guarantees access to sensitive or restricted data is visible for authorized users only. Utilizing granular permissions and real-time scanning, PAIG ensures strict access control and compliance. This tailored management enhances overall data security posture and meets regulatory standards.
Model-prompt and response filtering
Inputs into and outputs from GenAI applications need to be done securely and safely in accordance with your policies and guidelines. Fine grained data access controls and guardrails powered by our own and open libraries to ensure unauthorized and malicious behaviors are blocked or redacted based on policies and rules.
Continuous monitoring and auditing
Centralized collection on all inputs, outputs, model and retrieval augmented generation processes to provide continuous view into usage patterns and security posture. Dashboards provide aggregate visibility and monitoring across all GenAI apps in your estate.
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
PAIG Frequently Asked Questions
What is Privacera AI Governance (PAIG)?
Privacera AI Governance is a brand new application built on our data security platform that is focused specifically to provide data security and privacy controls for generative AI applications like chatbots. PAIG is integrated into your GenAI application to provide end to end observability, real time prompt and response protection as well as filtering of RAG (retrieval augmented generation) queries.
What are the benefits of Adopting Secure GenAI?
GenAI promises to be a massive driver for productivity and decision making. In order to achieve that, increasingly GenAI applications will need to have access to and contain company data that might be restricted or sensitive in some fashion. Without fine grained security and privacy controls, organizations will be forced to build multiple versions of the same to serve different user populations. For instance, one app might contain all HR data, including salary information and is ONLY accessible by managers, while a second app might contain the data visible for everyone.
How is PAIG integrated into our Data Security Platform?
PAIG is built on the Privacera Data Security Platform and re-uses most of the elements of the platform, including sensitive data discovery, policy management and orchestration, masking, auditing and reporting. The PAIG platform has been specifically optimized for the deployment and operating model required to be integrated into the GenAI app at the server side. Our roadmap for PAIG and our core platform is to ultimately allow for a single integrated control pane between PAIG and the core to allow a singular policy framework that can be deployed on traditional analytical data estate as well as GenAI data estates.
What are the benefits of Privacera AI Governance (PAIG)?
Privacera AI Governance (PAIG) offers unified data security and privacy for generative AI applications to protect against sensitive data leakage or toxic use. Key benefits include
scanning, classification and protection of training data before inserting into LLMs or embeddings, real time RAG query filtering based on the user and role, real time prompt and response protection and end to end observability and monitoring across all your GenAI apps.