Jeyasurya Vg

Cybersecurity professional with strong experience in vulnerability management, threat intelligence, red teaming, and AI security. Skilled in identifying real-world attack paths, testing systems from an attacker's perspective, and building automation to improve security operations. Experienced in AI red teaming, including testing large language models for prompt injection, data leakage, and tool abuse based on OWASP LLM and ML Top 10 risks.

Proven ability to design scalable security solutions, automate intelligence analysis, and translate technical risks into business impact. Currently pursuing MS by Research at IIT Madras focusing on autonomous AI security, adversarial behaviors, and enterprise cyber resilience.

Senior Security Analyst at Securin India Pvt. Ltd. (2021-08 – Present)

• Led enterprise vulnerability management programs across multiple clients using Risk Based Vulnerability Management platforms such as Ivanti Neurons, improving remediation efficiency and reducing false positives by prioritizing weaponized vulnerabilities including RCE, privilege escalation, and ransomware-linked CVEs.
• Built an AI-powered Chat-to-API interface for vulnerability management platforms that allows security teams and executives to query live vulnerability data using natural language and generate automated risk reports.
• Designed and deployed a large-scale AI-driven deep and dark web intelligence platform using AWS Bedrock and Claude models to detect credential leaks, track threat actors, monitor campaigns, and generate automated intelligence reports.
• Reduced threat intelligence analysis time by automating collection, correlation, enrichment, and reporting of indicators of compromise, adversary tactics, and emerging attack campaigns.
• Performed security testing and red teaming activities on AI and machine learning systems including prompt injection testing, adversarial prompting, data leakage testing, and model behavior analysis based on OWASP LLM Top 10 risks.
• Simulated attack scenarios involving autonomous AI agents interacting with enterprise systems through RAG pipelines and tool integrations to identify risks such as prompt injection, tool abuse, data exfiltration, and privilege escalation.
• Conducted vulnerability assessments across enterprise networks, web applications, and industrial control systems using tools such as Nessus, Qualys, Claroty CTD, and Forescout eyeInspect.
• Built automation using Python and scripting to reduce manual analysis in vulnerability management and threat intelligence workflows.

Vulnerability Management Engineer – Intern at Garrett – Advancing Motion (2021-01 – 2021-07)

• Supported vulnerability management for enterprise IT and OT environments by identifying critical vulnerabilities and assisting remediation teams with risk prioritization and patch planning.

MS by Research in Management Studies (Cybersecurity and Privacy) – Indian Institute of Technology Madras (2025-01 – 2027-06)

Bachelor of Engineering in Computer Science and Engineering – Thiagarajar College of Engineering (2018-06 – 2021-04)

Diploma in Electronics and Communication Engineering – P.A.C.R Polytechnic College (2015-06 – 2018-04)