Sponsored: Rad Security on new AI adoption risks for enterprises
Feb 16, 2025
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Jimmy Mesta, CTO and co-founder of Rad Security, shares insights on AI security for enterprises. He discusses the dangers of unregulated AI assistants in businesses, emphasizing the need for robust safeguards. The conversation dives into the rise of shadow AI and the challenges it poses for CISOs. Mesta also highlights the importance of responsible AI tool management and training employees to protect corporate data. He warns about potential risks associated with AI model origins and stresses the delicate balance between innovation and security regulation.
The unregulated adoption of AI tools can inadvertently expose company data and infrastructure to significant new security risks.
Emerging threats from rogue AI tools necessitate innovative data management and real-time detection strategies to enhance cybersecurity governance.
Deep dives
Concerns Over AI Security in Business
Companies are increasingly warned about the risks of broadly deploying untested AI assistants, especially in sensitive contexts like tech support. Instances have shown that these AI systems lack adequate security measures, as illustrated by an example where an AI assistant inadvertently disclosed internal configurations upon request for technical support. This brings to light the potential for prompt injection attacks, reminiscent of vulnerabilities from earlier cybersecurity challenges, highlighting the need for enhanced security protocols. The emerging threat of 'shadow AI'—unmonitored AI tools used across organizations—creates further complications that necessitate a focused approach to AI asset management.
Challenges of Rogue AI
The rise of rogue AI tools poses unique governance challenges as they connect to benign systems like databases or notebooks, complicating data tracking. Employees often circumvent strict corporate policies to access user-friendly AI tools, increasing the risk of unmonitored data utilization. To address this, companies need to implement robust technical controls alongside training programs to manage data flows effectively. Capturing data lineage in these diverse environments will require innovative solutions, moving beyond traditional security practices.
The Evolution of Threats with AI
The integration of AI into adversarial tactics has significantly accelerated the rate and sophistication of attacks, posing new challenges for cybersecurity. Threat actors leverage AI to enhance phishing campaigns and automate malicious interactions, increasing the potential for compromise across various platforms. This dynamic requires a shift towards real-time detection methods and AI-driven defense strategies to counteract the velocity of AI-enhanced threats. Organizations that continue to rely on outdated security measures risk being outpaced by modern attack methodologies, reinforcing the urgency for robust AI-centric security solutions.
In this Risky Business News sponsor interview, Catalin Cimpanu talks with Jimmy Mesta, CTO and Co-Founder of Rad Security (formerly KSOC). Jimmy talks about how companies adopting new AI-based technologies may accidentally expose their infrastructure and data to new threats.