AI introduces new exposure points
AI can amplify familiar risks – and introduce new ones.
From sensitive data exposure and excessive permissions to shadow AI, prompt injection, uncontrolled agent connections, unsafe tool use, compromised agent identities, data poisoning and model compromise, AI can quickly extend risk across your Microsoft environment.
Understand where exposure points exist, before they scale, giving you a clearer view of where risk exists, what to prioritise, and how to move forward with confidence.
Data exposure and governance
Reduce the risk of sensitive data being surfaced, shared, or overshared through AI.
Data security posture
Understand whether your data estate is ready for secure AI adoption, including exposure, governance, and Microsoft Purview readiness.
Built for Microsoft environments
Quorum Cyber helps organisations strengthen the foundations for secure AI adoption using Microsoft security technologies, including Microsoft Purview, Microsoft Defender, Microsoft Entra, and cloud security controls.
Our engagements give you a practical view of where risk exists, what to prioritise, and how to move forward with confidence.
Ready to understand your AI security exposure?
Speak to Quorum Cyber about your AI plans and identify the right readiness engagement for your organisation’s specific Microsoft environment.
Frequently Asked Questions
Have any questions? Here are the answers to the most common queries.
AI adoption can introduce new risks around data exposure, governance, compliance, and access control. Assessing AI readiness helps organisations identify and address these risks before they impact the business.
Common risks include sensitive data exposure, excessive permissions, shadow AI usage, compliance gaps, and insufficient governance. Understanding these risks is a key step towards secure AI adoption.
Protecting data requires visibility into where sensitive information resides, who can access it, how it is being shared, and which AI applications are interacting with it. Effective controls help reduce the risk of oversharing and data leakage.
Shadow AI refers to AI applications and services being used without formal approval or oversight. It can create security, governance, compliance, and data protection risks that organisations may not be aware of.
Successful adoption starts with understanding data access, permissions, governance controls, and security posture. Preparing these foundations helps organisations deploy AI securely and responsibly.
AI DSPM helps organisations understand how data is exposed to AI applications, identify potential risks, and strengthen the controls needed to support secure AI adoption.
AI systems rely on access to organisational data. Effective governance helps ensure information is protected, permissions are appropriate, and AI tools operate within defined policies and controls.
An AI readiness workshop provides a clearer understanding of current risks, identifies security and governance gaps, and delivers practical recommendations to help build the secure foundations for AI adoption.
