Data Security
Protecting data from unauthorised access, corruption, or theft through technical and administrative controls.
In-Depth Explanation
Data security encompasses the measures and controls used to protect data from unauthorised access, breaches, and other threats. It's essential for maintaining confidentiality, integrity, and availability.
Security principles (CIA triad):
- Confidentiality: Only authorised access
- Integrity: Data is accurate and unmodified
- Availability: Data accessible when needed
Security controls:
- Encryption: Protect data at rest and in transit
- Access control: Authenticate and authorise users
- Network security: Firewalls, segmentation
- Monitoring: Detect suspicious activity
- Backup: Recover from loss/corruption
- Physical security: Protect infrastructure
AI security considerations:
- Protect training data
- Secure model artifacts
- API authentication and rate limiting
- Prompt injection prevention
- Model extraction attacks
- Data poisoning prevention
Business Context
Security breaches are costly: regulatory fines, remediation costs, and reputational damage. Prevention is far cheaper than recovery.
How Clever Ops Uses This
We implement security best practices for Australian business AI systems, protecting data, models, and APIs from threats.
Example Use Case
"Implementing defense in depth for AI system: encrypted data storage, API authentication, rate limiting, input validation, and anomaly monitoring."