Podcast
Nov 11, 2024
27 min
English
AI Security is Coming: How can we protect GenAI Apps from Cyber Crime?
Discover how to secure GenAI apps against cybercrime, address emerging AI security risks, and the importance of proactive "Security by Design" strategies.
Michael Döhmen
Kristian Kamber
Available on demand
This episode of the Cybersecurity Basement Podcast featuring Michael Döhmen, CMO at SureSecure GmbH, and Kristian Kamber, Co-Founder and CEO at SplxAI, explores the still relatively unknown realms of AI security and how GenAI applications can be effectively safeguarded against cyber crime. Security by design is something that needs to be considered specifically for building GenAI applications. Regular tests and audits are necessary to identify potential vulnerabilities in AI systems ahead of time before malicious actors can be exploit them. Continuous monitoring is also crucial to recognize adversarial activity when AI apps are live and in production.
Security measures need to be integrated early on in the development phase of GenAI apps
The deployment of GenAI applications expands the digital attack surface, making systems more susceptible to new and more sophisticated cyberattacks.
Incorporating security practices from the start of GenAI application development is crucial to safeguard against potential vulnerabilities and adhere to regulatory standards.
Regulatory frameworks, such as the EU AI Act and DORA, will require regular security and safety audits of AI systems and can lead to heavy financial penalties if not met.
Resources
Deploy secure and trusted GenAI
