As organizations embrace AI to drive innovation, security teams face the challenge of adapting existing frameworks to this dynamic landscape. While AI evolves rapidly, foundational cybersecurity principles remain highly relevant—companies with robust security controls are already 90% prepared. The remaining 10% requires extending these best practices to address AI-specific risks across applications, infrastructure, software supply chains, and development processes.
This executive briefing, led by Gunter Ollmann, CTO at Cobalt, will provide:
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Strategies to secure large language models (LLMs) and their ecosystems.
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A comparative analysis of risks and benefits for homegrown, open-source, and LLM-as-a-Service models.
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Insights into critical edge cases and emerging threats.
In addition to expert insights, this session will emphasize open discussion, fostering an engaging exchange of ideas among participants. Attendees will leave with actionable strategies to safeguard the full AI stack.
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