AI handles large amounts of data and can create convincing content, making it a target for misuse and breaches.

Common Security Risks:

• Data leaks: Sensitive info exposed through AI platforms or misconfigured cloud storage.

• Adversarial attacks: Manipulated inputs trick AI models or poison training data.

• Phishing & social engineering: AI-generated emails, messages, or websites can deceive users.

• Deepfakes & identity theft: AI can impersonate individuals or create fake content.

• Unauthorized access: Compromised AI integrations can expose enterprise or personal data.

How to Stay Safe:

• Limit sharing sensitive data with AI platforms.

• Use strong, unique passwords and enable multi-factor authentication.

• Verify AI-generated messages, links, or documents before trusting them.

• Keep devices updated and secure; avoid public Wi-Fi for sensitive tasks.

• Audit AI system access and permissions regularly.

• Cross-check AI outputs, don’t blindly trust them.

Best Practices for Organizations:

• Encrypt data at rest and in transit.

• Conduct security audits and monitor AI system activity.

• Implement AI usage policies and employee training.

• Control model access and monitor for adversarial manipulations.