AI Governance for Enterprise AI Usage
AI Governance Built for the Way Your Teams Actually Use AI
Control which AI tools employees use, what data gets shared, and how risk is enforced — in real time, with full audit-ready compliance.
At Suki AI, we aim to increase employee efficiency with cutting-edge AI solutions while maintaining the highest standards of security.
Vice President of Infrastructure @Suki
At PayActiv, we use Wald.ai for our marketing needs. It helps us efficiently create social posts, email campaigns, and event materials. The platform's focus on data privacy and access to multiple AI models gives us peace of mind.
Senior Director Marketing & Comms @PayActiv
It offers a thoughtful approach to securing employee AI conversations and safeguarding sensitive private data and our intellectual property
Director of DevOps @Kiavi
Ensuring that internal sensitive data remains protected while leveraging AI has significantly enhanced the efficiency and accuracy of legal work without compromising confidentiality or privilege.
Partner, Data Strategy, Privacy and Cybersecurity in New York, and former Assistant General Counsel at a top 5 US bank.
Without a clear AI governance framework, every AI conversation becomes a potential liability.
Your teams are already using Claude, Gemini, ChatGPT, and dozens of other AI tools. Each conversation potentially exposes:
Intellectual Property worth millions
Customer PII subject to regulatory fines
Strategic Plans that competitors covet
Source Code that powers your business
What is On-Device DLP for AI?
Wald's on-device DLP provides:
For complete data control, our privately hosted LLM ensures full ownership and security.
- Local DLP model with no user visible latency
- Complete visibility into all AI interactions
- Policy enforcement at the endpoint
- No network exposure of sensitive data
Wald’s AI governance platform gives you real-time protection without slowing your teams down
Real-Time Protection Without Compromise
Complete AI governance means compliance, visibility, and risk control all in one place.
Regulatory Compliance
Productivity Unleashed
Complete Visibility
Risk Mitigation
Frequently asked questions.
How does Wald’s AI Governance approach differ from traditional DLP solutions?
Traditional DLP solutions operate at the network level, inspecting data as it passes through gateways but they weren’t built for the age of AI. Wald’s AI governance platform takes a different approach: its on-device DLP operates directly on the endpoint, inspecting all AI interactions locally before they reach platforms like ChatGPT or Claude with zero data sent to external servers.
How does Wald’s AI Governance platform handle sensitive data detection?
Yes. Wald’s AI governance platform is designed to detect and classify sensitive information with high accuracy. Unlike tools that rely only on regular expression matching, it understands context and intent, which means it can identify sensitive content even if no explicit marker like a name, email address, or ID number is present.
Out-of-the-box, it recognizes PII (Personally Identifiable Information), PHI (Protected Health Information), intellectual property, source code, and can also be adapted for custom data types unique to your organization. This ensures protection not just against obvious risks, but also against subtle data exposures hidden in conversations or documents.
How does AI Governance and data observability work together in Wald?
AI governance and data observability go hand in hand. Wald gives you complete visibility into how AI tools are being used across your organisation helping you identify patterns of sensitive data sharing, understand AI usage trends, and make informed, policy-driven decisions. With Wald’s AI governance framework in place, you stay audit-ready and compliant with regulations like GDPR and CCPA without slowing your teams down.
