Swathi C L
Cybersecurity Engineer at msg global solutions
About
Swathi is an Automotive Cybersecurity Engineer with over four years of experience in embedded automotive security, ADAS and telematics platforms, PKI, cryptographic systems, and AUTOSAR security. Her expertise includes secure diagnostics, SecOC, cryptographic driver development, TARA, penetration testing, and automotive cybersecurity compliance. She currently works on post-quantum cryptography (PQC) risk assessment and regulatory mapping for connected vehicles. She is also developing an AI-powered automotive cyber-risk intelligence platform that leverages knowledge graphs to connect product architectures, cryptographic dependencies, evolving regulations, and cybersecurity requirements, enabling proactive risk assessment and PQC readiness.
Experience
Cybersecurity Engineer
msg global solutions
Oct 2026 – Present
Swathi is an Automotive Cybersecurity Engineer with over four years of experience in embedded automotive security, ADAS and telematics platforms, PKI, cryptographic systems, and AUTOSAR security. Her expertise includes secure diagnostics, SecOC, cryptographic driver development, TARA, penetration testing, and automotive cybersecurity compliance. She currently works on post-quantum cryptography (PQC) risk assessment and regulatory mapping for connected vehicles. She is also developing an AI-powered automotive cyber-risk intelligence platform that leverages knowledge graphs to connect product architectures, cryptographic dependencies, evolving regulations, and cybersecurity requirements, enabling proactive risk assessment and PQC readiness.
Independent
Oct 2026 – Present
Swathi is an Automotive Cybersecurity Engineer with over four years of experience in embedded automotive security, ADAS and telematics platforms, PKI, cryptographic systems, and AUTOSAR security. Her expertise includes secure diagnostics, SecOC, cryptographic driver development, TARA, penetration testing, and automotive cybersecurity compliance. She currently works on post-quantum cryptography (PQC) risk assessment and regulatory mapping for connected vehicles. She is also developing an AI-powered automotive cyber-risk intelligence platform that leverages knowledge graphs to connect product architectures, cryptographic dependencies, evolving regulations, and cybersecurity requirements, enabling proactive risk assessment and PQC readiness.
