AI is proving to be a powerful tool for security teams. Not only can the technology help them mitigate threats faster, but it can also identify vulnerabilities before the hackers do.
Still, the applications of AI in cybersecurity extend far beyond vulnerability detection. In the world of application security, organizations have already started to use large language models (LLMs) to generate secure code to develop their applications.
The problem? These LLMs are themselves built from insecure code – making it impossible for them to create truly secure code that organizations can rely on.
So how can organizations leverage AI for application development while maintaining security throughout the development cycle?
In this episode of the EM360 Podcast, Analyst Richard Stiennon speaks to Stuart McClure, CEO at Qwiet AI, about:
- The role of AI in application security
- Why LLMs are exploitable
- The future of AI in application development
The AI powered AppSec platform that your developers will love. Qwiet’s preZero platform is the first application security testing to utilize AI for faster and more accurate scan results. Qwiet’s preZero platform utilizes our CPG (Code Property Graph) to show you which vulnerabilities can actually be reached by an attacker and need to be focused on immediately.
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