Minimising Data Risk in the AI Era

Solving Compliance and Security Challenges
Enterprises are embracing AI to streamline operations, but it expands the threat surface and raises new data security risks. This guide explores how to facilitate AI deployments while protecting sensitive data and maintaining regulatory compliance.

Core Focus Areas:

 • Securing Public GenAI: Eliminate shadow AI and gain deep visibility into how public tools are being used across your organisation.
Ensuring Copilot Security: Enforce safe guardrails for authorised assistants like Microsoft Copilot to prevent oversharing and misconfigurations.
Private AI Protection: Proactively mitigate risks in your internal AI environments by ensuring inappropriate data does not leak into your models.
Continuous Monitoring: Use AI Red Teaming and Runtime Security to block unauthorised access and malicious attacks in real-time.

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