Security News > 2024 > August > AI for application security: Balancing automation with human oversight

To truly harness the most benefit from AI in application security, security professionals should adopt an application-centric approach that automates change management processes, identifies security risks, and ensures compliance.
AI's limitations in application security stem from the need for high-quality data to train AI models and the significant possibility of false positives at scale.
The best way to combat this is to balance AI with human oversight to manage security risks effectively.
One of the biggest challenges in prioritizing application security is overcoming the perception that security slows down delivering and enhancing applications.
Making security an integral part of the application delivery pipelines ensures that security policies and processes align with business goals.
The rise of DevSecOps will push for security to be integrated earlier in the development lifecycle, and tools that ensure consistent application of security will be critical as applications evolve.
News URL
https://www.helpnetsecurity.com/2024/08/20/kyle-wickert-algosec-ai-application-security/
Related news
- How AI and automation are reshaping security leadership (source)
- On Generative AI Security (source)
- AI and Security - A New Puzzle to Figure Out (source)
- Google Chrome's AI-powered security feature rolls out to everyone (source)
- Orbit: Open-source Nuclei security scanning and automation platform (source)
- CrowdStrike Security Report: Generative AI Powers Social Engineering Attacks (source)
- Innovation vs. security: Managing shadow AI risks (source)
- AI threats and workforce shortages put pressure on security leaders (source)
- Enterprises walk a tightrope between AI innovation and security (source)
- AI agents swarm Microsoft Security Copilot (source)