CISOs: Does Generative AI Mean Your Security Policies Are Obsolete?
Generative AI is here. Tools like Microsoft’s Copilot are boosting productivity and unlocking incredible insights. But there’s a catch: your old security policies may no longer be fit for purpose.
Why? Because generative AI models gobble up data indiscriminately, with no understanding of confidentiality or sensitivity.
Imagine this: an employee asks your AI assistant how their salary compares to the CEO. Without rock-solid data governance, that information could be served to them.
This isn’t a hypothetical threat – it’s your new reality, and you must address it.
So, what’s the challenge?
- Data Overexposure: AI models are data-hungry beasts, consuming everything in their path, including sensitive information.
- Lack of Context: AI doesn’t understand the difference between sharing a public document and revealing trade secrets.
- Outdated Access Controls: Traditional security measures weren’t built for AI, leaving gaping holes in your defenses.
- Compliance Nightmares: GDPR and other regulations demand strict data control. AI-powered breaches can lead to significant fines.
The Solution:
- Reimagine Data Governance
- Deep Dive into Your Data: Know exactly what data you have, where it lives, and who has access.
- Dynamic Classification: Static labels are dead. Implement a system that adapts to the changing sensitivity of your data.
- AI-Centric Policies: Create clear and consistent rules governing how AI interacts with your data.
- Lock Down AI Access
- AI-Aware Policies: Define what data AI can access and how it can be used.
- Role-Based Access for AI: Treat AI systems like employees, granting only the most necessary permissions.
- Minimize Data Exposure
- Strategic AI Training: Train AI models on datasets that exclude sensitive information whenever possible.
- Regular Data Reviews: Continuously audit the data used by your AI models.
- Empower Your Workforce
- Responsible AI Education: Train employees on the responsible use of AI and potential risks.
- Clear Reporting Channels: Make it easy for employees to report AI-related concerns.
- Monitor and Adapt
- Detailed Activity Logs: Track AI interactions for inappropriate access or disclosure.
- Anomaly Detection: Use tools to identify unusual patterns that could indicate security threats.
Who can help you with all this? Armor.
Our AI Readiness Accelerator gives your enterprise the tools needed to understand, secure, and manage your data, protecting against loss and leakage.
This solution maximizes the utilization of Microsoft Purview, granting more control over your business’s data estate. Armor helps secure and govern your data against data loss, detects insider risks and threats, and ensures strong compliance measures are in place before the deployment of Microsoft Copilot. This advanced offering secures your data estate, allowing you to unlock the value Microsoft Copilot brings by boosting productivity and business outcomes.
With a robust data foundation and continuous adherence to evolving governance standards, you can be confident in adopting generative AI tools including Microsoft Copilot.
Ask for a demo: https://www.armor.com/forms/demo-request