Call for papers

• ■Building or defending AI-powered systems: LLMs, agents, GenAI
• ■Red teaming, adversarial ML and model alignment
• ■Securing data pipelines, training environments and inference endpoints
• ■Threat intelligence, detection and response using AI
• ■AI in security operations, incident response and GRC
• ■Case studies, war stories, tooling and trend analyses
• ■Talks for executive audiences: CISOs and founders

• ■Session title
• ■Abstract: talking points, takeaways, any data or case studies
• ■Speaker bio
• ■Target audience and prerequisites
• ■Optional: links to prior talks, articles or slides

How we review

• ■Relevance to applying AI in cybersecurity
• ■Content quality and clarity
• ■Innovation
• ■Speaker credibility and real-world experience