AI Safety Thursdays: Why Attackers Are Winning and What We Can Do About It

​LLMs are shifting the cybersecurity balance—in favor of attackers.

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The barrier to sophisticated cyberattacks is dropping fast. What once required large teams and significant budgets can now be accomplished by smaller groups with moderate expertise. Personalized phishing campaigns that took weeks now take hours. Zero-day vulnerabilities that took a syndicate to detect are now discovered by independent actors. While these attacks still require technical knowledge, the pool of capable threat actors and scale of impact are rapidly expanding. While LLM-powered attacks are proliferating, but cutting-edge defences are only accessible to well-resourced frontier labs—leaving most organizations exposed. Diana Sarbakysh (Network Engineer, and alumni of first AI security bootcamp) will:

• ​Introduce frameworks for evaluating emerging AI capabilities and institutional readiness (RAND framework)

• ​Demonstrate the current state of AI-enabled threats and corporate reality check through real incidents

• ​Provide concrete action paths: from bootcamps and independent study resources to research opportunities and corporate security initiatives

​This talk is a call to action for corporate practitioners, security professionals, researchers, and anyone interested in improving the state of defences at large.

​Event Schedule
6:00 to 6:30 - Food and introductions
6:30 to 7:30 - Presentation and Q&A
7:30 to 9:00 - Open Discussions

​​​​If you can't make it in person, feel free to join the live stream starting at 6:30 pm, via this link.