Santhosh Kumar Janagam — CEO
In an era defined by AI transformation, securing autonomous systems and AI-driven workflows has become mission-critical. My work sits at the intersection of AI security architecture, application security, and enterprise risk, helping teams innovate safely while building AI-powered systems that meet regulatory requirements and earn stakeholder trust. I began my career in e-commerce, building and securing applications in fast-moving environments where security issues surface quickly and at scale. That experience shaped how I approach security today: practical, embedded, and aligned with how engineers and product teams work. Over time, I've expanded that foundation across the secure SDLC, partnering with developers, architects, product, privacy, and compliance teams to bring security into design from concept through deployment. My role has focused on security architecture and product security strategy—defining secure-by-default patterns, frameworks, and guardrails teams can reuse across enterprise and cloud-native platforms. I regularly lead threat modeling across all seven layers, architecture reviews, and security assessments for complex applications, APIs, and distributed systems, using frameworks such as MAESTRO, STRIDE, DREAD, PASTA, and OCTAVE to translate emerging threats into actionable controls and rollout plans. I've driven adoption of modern API protection, identity-aware patterns (OAuth2, OIDC, mTLS), DevSecOps practices, and policy-as-code approaches, embedding automated controls into CI/CD pipelines. My technical depth spans cloud security (AWS/Azure), Kubernetes, microservices governance, and zero-trust architectures. Recently, I've focused intensively on AI/ML security—securing LLM applications, addressing agentic AI risks including prompt injection and insecure code generation, implementing Model Context Protocol (MCP) security patterns, and building data protection frameworks aligned with emerging AI regulations and assurance standards. I excel at mentoring architects and security professionals, producing consumable technical documentation (security requirements, design patterns, reference architectures), and influencing cross-functional teams through clear communication. I'm most effective combining hands-on architectural depth with strategic leadership to deliver secure, compliant AI solutions. Specialties: AI/ML Security, LLM Security, Security Architecture, Threat Modeling, API Security, Cloud Security, Zero Trust, DevSecOps, CISSP, CSSLP, CCSP.
Stackforce AI infers this person is a Cybersecurity Architect specializing in AI security within the Healthcare sector.
Location: Hyderabad, Telangana, India
Experience: 15 yrs 7 mos
Skills
- Product Security
- Ai Security
- Api Security
- Ai Safety And Governance
- Application Security
- Secure Software Design
Career Highlights
- Expert in AI/ML security and threat modeling.
- Proven track record in secure product architecture.
- Strong leadership in embedding security in development.
Work Experience
Evernorth Health Services
Cyber Security Senior Advisor (5 mos)
Wells Fargo
Vice President - Lead Information Security - Software Security Group (2 yrs 1 mo)
Information Security Engineer V (2 yrs 5 mos)
Information Security Engineer IV (3 yrs 2 mos)
Senior AVP - Senior Systems Architect - Application Security | Threat Modeling (9 yrs 5 mos)
Information Security Engineer - III | Security Automation & Engineering (2 yrs 2 mos)
Kantar TNS
Software Engineer (1 yr 1 mo)
T-Mobile
Web and eCommerce Development - Senior Security Engineer @ HCL Tech (2 yrs 8 mos)
HCL Technologies
Software Engineer (2 yrs 11 mos)
Education
Engineer's Degree at Jawaharlal Nehru Technological University
Certificate in Applied Generative AI at Indian Institute of Technology, Guwahati