Hemanth Tadepalli
|
Hemanth Tadepalli is the Senior Cybersecurity & Compliance Subject Matter Expert at May Mobility, where he helps secure advanced autonomous vehicles. His career includes roles at AlixPartners, Mandiant, Google, and SensCy, with research spanning autonomous vehicle security, IoT, threat intelligence, risk management, API security, and election security. Appointed by Michigan Secretary of State Jocelyn Benson to a statewide election security advisory task force, Hemanth is also a published author, frequent conference speaker, and podcast guest. His work has been recognized with honors including Oakland County’s 40 Under 40, the Governor’s Service Award, and being named a 2025 Top 20 Voice in Automotive. He holds degrees from Kettering University and UC Berkeley, is a Ph.D. candidate at Dakota State University, serves in public office for the City of Troy, and sits on the Board of Directors for Kettering University.
|
Attack Surfaces at 70 MPH: Cybersecurity Threats in Autonomous and Connected Cars
Autonomous and connected vehicles introduce a rapidly expanding cyber-physical attack surface where software, cloud services, APIs, and tele-assist operations directly influence real-world safety. This session examines how modern vehicle ecosystems can be exploited through insecure APIs, remote access paths, and tele-assist control channels, and how attackers chain vulnerabilities across vehicle, cloud, and enterprise environments.
The talk highlights emerging threat vectors and adversary behaviors, including the tactics used by advanced persistent threat (APT) actors targeting automotive and mobility platforms. Attendees will gain practical insight into where the most critical risks exist today and how to mitigate them through secure design, API hardening, and continuous monitoring across autonomous vehicle systems.
The talk highlights emerging threat vectors and adversary behaviors, including the tactics used by advanced persistent threat (APT) actors targeting automotive and mobility platforms. Attendees will gain practical insight into where the most critical risks exist today and how to mitigate them through secure design, API hardening, and continuous monitoring across autonomous vehicle systems.