We’re Excited to Share that Indrasol will be Exhibiting at TechEx North America 2026!
If SOC 2 compliance or CMMC requirements are on your roadmap this year, this is the perfect opportunity to connect with us in person.
How Indrasol Can Help
We work with fast-growing companies to simplify and accelerate compliance:
✔ Achieve SOC 2 faster → Structured, audit-ready frameworks that reduce timelines
✔ Simplify audit readiness → Eliminate manual effort and streamline evidence collection
✔ Prepare for evolving CMMC requirements → Build scalable, DoD-aligned compliance programs
Why Meet Us at TechEx?
Whether you're just starting your compliance journey or looking to optimize an existing program, we’ll share:
- Practical, execution-focused insights
- Common pitfalls to avoid
- Clear next steps tailored to your business
Let’s Connect
We’ll be available throughout the event for quick 1:1 conversation.
Drop by our booth during the event
Looking forward to meeting you in San Jose!
About the Author
Satish Govindappa
Satish Govindappa is an Visionary technology leader with 15+ years of experience spearheading AI/ML transformations across complex enterprise environments. Proven ability to align AI initiatives with business goals, lead global cross-functional teams, and deliver scalable, cloud-native solutions using LLMs, predictive analytics, and anomaly detection. Skilled in building AI Centers of Excellence, developing architecture standards, and ensuring responsible AI adoption across the organization. Championed a multi-million dollar Generative AI program at Synopsys, leading the development and deployment of custom large language models (LLMs) to strengthen compliance, accelerate product innovation, and streamline critical operational workflows. Facilitated architectural design sessions with IT architects and engineering leaders to build scalable, cloud-native AI infrastructure, enabling smooth integration with Synopsys and ICE Mortgage Technology’s distributed enterprise systems. Orchestrated the creation of enterprise-wide AI architecture standards, standardizing the deployment of predictive analytics, real-time anomaly detection, and large language model (LLM) solutions across diverse business units. Directed cross-functional teams of global professionals, uniting IT, operations, and business units to drive successful adoption of Generative AI applications. Experienced Generative AI Security Architect with solid background in LLM security, AI threat modeling, and machine learning to protect AI systems from prompt injection, model poisoning, and data leakage. Proficient in Cloud AI security (AWS, Azure, GCP), MLOps security, and Zero-trust AI architectures. Securing AI applications for Fortune 500 enterprises, startups, and government agencies across the US, EU, and APAC. Committed to ensuring AI compliance (SOC 2, NIST AI RMF, GDPR, ISO 27001) and enterprise AI risk management Expert in securing Generative AI and Large Language Models (LLMs) against emerging threats such as prompt injection, model poisoning, and adversarial machine learning attacks. A J2EE Developer turned Application Security Professional with unique ability to understand both the worlds better (Development and Security). Working experience in top companies like Fidelity Investments, TD Ameritrade, DTCC, MindTree, Honeywell and AOL. Specialties: GenAI Security, LLM security, Threat Modeling, Secure Code Review, Web Penetration Testing, Server Audits, Security Training, Security Automation
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