Special Offer: Get 50% off your first 2 months when you do one of the following
Personalized offer codes will be given in each session
Name
Pavithra (Pav) C Suriyanarayanan
Title
Automotive Ecosystem Manager, Security IPGroup Synopsys, Inc.
Bio
Pavithra C Suriyanarayanan (Pav) is a senior technology leader at Synopsys specializing in automotive cybersecurity, safety, and AI aware hardware security, with a recognized track record of advancing trusted, production-scale architectures for modern vehicle platforms.
Her work focuses on enabling secure-by-design AI systems in connected and autonomous mobility, where real-time decision-making must operate on verifiable, protected infrastructure. She leads the strategy and deployment of hardware-rooted security solutions ensuring that AI-driven automotive SoCs can be trusted across sensing, processing, and actuation pipelines.
Pav has played a leading role in delivering multiple industry-first, production-grade implementations that achieve compliance across intersecting global standards, including ISO/SAE 21434, ISO 26262, PAS 8800, and evolving AI governance frameworks.
Working closely with global OEMs, Tier 1 suppliers, and ecosystem partners, she contributes to translating rapidly evolving regulatory requirements into deployable architectures that are auditable, resilient, and future-ready. Her contributions have helped shape how the industry approaches regulatory convergence across cybersecurity, functional safety, and AI assurance, particularly as vehicles become software-defined and increasingly integrated with connected infrastructure.
A frequent invited speaker at global automotive and cybersecurity forums Pav contributes to advancing industry discourse on trusted AI systems, hardware-rooted trust foundations, and secure mobility infrastructure. Her ongoing work includes advancing cryptographic agility and post-quantum readiness, helping future-proof automotive platforms against emerging threats while maintaining compliance across global markets.
Her work focuses on enabling secure-by-design AI systems in connected and autonomous mobility, where real-time decision-making must operate on verifiable, protected infrastructure. She leads the strategy and deployment of hardware-rooted security solutions ensuring that AI-driven automotive SoCs can be trusted across sensing, processing, and actuation pipelines.
Pav has played a leading role in delivering multiple industry-first, production-grade implementations that achieve compliance across intersecting global standards, including ISO/SAE 21434, ISO 26262, PAS 8800, and evolving AI governance frameworks.
Working closely with global OEMs, Tier 1 suppliers, and ecosystem partners, she contributes to translating rapidly evolving regulatory requirements into deployable architectures that are auditable, resilient, and future-ready. Her contributions have helped shape how the industry approaches regulatory convergence across cybersecurity, functional safety, and AI assurance, particularly as vehicles become software-defined and increasingly integrated with connected infrastructure.
A frequent invited speaker at global automotive and cybersecurity forums Pav contributes to advancing industry discourse on trusted AI systems, hardware-rooted trust foundations, and secure mobility infrastructure. Her ongoing work includes advancing cryptographic agility and post-quantum readiness, helping future-proof automotive platforms against emerging threats while maintaining compliance across global markets.
