Registration Required: October 8, 2026 – 7:00 pm – 9:00 pm Pacific Time | 2 CPEs
Session One: Evolution of AI Email Attacks, Abnormal AI
David Nicholson, Sr. Solutions Engineer at Abnormal AI, will present on the topic of AI use in email-based attacks.
About David Nicholson, Sr. Solutions Engineer
David Nicholson is a Sr. Solutions Engineer at Abnormal Security, where he works with organizations across industries to address emerging AI-driven security threats and modern email-borne attacks. He came to cybersecurity from CNC manufacturing in the defense industry, bringing a hands-on, operations-first mindset to security challenges. Before joining Abnormal four years ago, David spent 8.5 years at RSA NetWitness, working across SIEM, packet capture, and EDR technologies to help security teams detect and respond to advanced threats.
About Abnormal AI
Abnormal AI (abnormal.ai) is the leading AI-native human behavior security platform, purpose-built to protect organizations from the most sophisticated email-based attacks and cloud account compromises. By modeling known-good behavior across every employee and vendor, Abnormal’s Behavior Platform detects subtle anomalies in identity, tone, urgency, and intent to stop business email compromise, credential phishing, social engineering, and insider risk — threats that routinely bypass traditional secure email gateways and native Microsoft defenses. Beyond inbound email protection, Abnormal continuously monitors user behavior and cloud environment changes to detect account takeover and misconfiguration risk, automatically remediating threats by resetting passwords, terminating sessions, and alerting the appropriate team. The platform also deploys autonomous AI agents to reduce SOC workload and close the cybersecurity skills gap.
Session Two: GenAI Runtime Security, Mavs AI
For the first time in security history, employees are routinely sending sensitive data to third-party systems and calling it productivity. Join us for a technical deep-dive into why the prompt layer is your new attack surface, why legacy DLP and CASB fail here, and what runtime in-loop security actually looks like, covering sensitive data exposure, prompt injection, jailbreaks, and agentic AI threats mapped to OWASP LLM Top 10. Closing with a Mavs AI runtime security demo.
About Amit Kharat
Amit is a cybersecurity entrepreneur and co-founder of Mavs AI, building next-generation runtime security for Generative AI use. With over a decade of experience in data-centric and enterprise security, Amit has played a foundational role in scaling global security platforms across BFSI, manufacturing, pharma, and government sectors. His work spans product strategy, go-to-market leadership, and deep customer engagement across North America, Europe, the Middle East, and India. At Mavs AI, Amit is focused on solving emerging GenAI
risks, including sensitive data exposure, prompt-level attacks, and lack of runtime visibility, helping enterprises adopt AI with confidence and control.
About Mavs AI
Mavs AI is on a mission to help enterprises embrace Generative AI confidently by addressing the unique risks of a LLM / model-driven world. As organizations embed Large Language Models (LLMs) into day-to-day workflows, Mavs AI delivers real-time, in-the-loop security by monitoring every interaction to detect and prevent the leakage of sensitive data, such as PII and IP. Our LLM-agnostic engine acts as a specialized security layer that intercepts and analyzes prompts and responses, identifying risks like prompt injection and data exposure before damage is done. By enforcing policies across users, agents, and applications, Mavs AI enables organizations to maintain strict governance over their AI ecosystems without compromising performance. In an era where GenAI is transforming global productivity, Mavs AI ensures that this transformation happens securely, responsibly, and at scale.
