At WitnessAI, we believe that AI will be as fundamental to modern work as the Web has been for the past twenty years. Our mission is to give organizations the security and governance controls needed to adopt AI, safely. WitnessAI sits in the data flow between your users and LLMs, allowing you to understand how AI is being used, to apply policy, to monitor results, and to protect your data, your employees, and your customers.
OBSERVE | CONTROL | PROTECT
MAKING AI SAFE FOR THE ENTERPRISE
OUR PLATFORM
Ensure visibility and privacy for your AI activity
WitnessAI is a set of security microservices that can be deployed on premise in your environment, in a cloud sandbox, or your VPC, to ensure that your data and activity telemetry is separated from other customers. Unlike other AI governance solutions, WitnessAI provides regulatory segregation of your information.
Flexible, private services for governing enterprise AI
OBSERVE
Understand how your employees are using AI
WitnessAI sees which public and private LLMs your employees are using, and provides detailed audit reporting (including data residency analysis) via your existing dashboards or our own console. With WitnessAI, you can demonstrate that your controls are working, so that you can be prepared for any new regulations.
Observability and data tagging, enforce usage policies
CONTROL
Enforce policy on your data and AI usage
Our platform enforces policies for data and user activity. For example, with WitnessAI you can create a policy that no one outside of the CFO’s office can ask your private LLM questions about unreleased earnings. Or that all customer PII data must be redacted before being sent to a public LLM. Policy results are logged securely and can be monitored in a secure console or sent to your dashboard of choice.
Monitor and audit the data flow
PROTECT
Secure your data, people, and systems
With WitnessAI, you can redact or block data to ensure privacy. Data is encrypted in transit and at rest, so that even if your private LLM is attacked, your data is safe. Finally, we use a unique AI-driven model to defend against prompt injection, especially important when your LLMs are connected to multiple external APIs.
Ensure your data is private
