Cybersecurity · VIDEO
AI and security: why the problem is not just about model training
The adoption of AI in cybersecurity is redefining the priorities of security teams. Beyond concerns about training data, critical issues such as maintaining...
KEY TAKEAWAYS
- Attention on AI training data hides more critical questions about data security
- AI is reducing the skills asymmetry between attackers and defenders, accelerating the discovery and exploitation of vulnerabilities
- The strategic use of AI has allowed Gremlin to manage an exponential increase in vulnerabilities without increasing staff
- The skills required of security professionals are evolving, with greater emphasis on the ability to recognize and correct erroneous AI outputs
- The integration of AI in the application development cycle is shifting cybersecurity to earlier stages of the process
