Instigence for Responsible AI
रक्षा · RAKSHA
Harness AI's Full Power.
Without Exposing Your Data.
Raksha teaches professionals how to leverage AI for maximum productivity while keeping sensitive information protected, data secure, and organizations compliant.
The AI Security Paradox
Your team is using AI. The question is whether they're using it safely.
The Reality:
- → Employees are copying sensitive data into AI tools
- → Confidential information is being used as training data
- → API keys and credentials are being exposed
- → Compliance requirements are being ignored
- → Shadow AI usage is untracked and unmanaged
The Dilemma:
Block AI entirely and fall behind competitors.
Allow unrestricted use and expose your organization.
RAKSHA OFFERS A THIRD PATH:
Maximum AI leverage. Maximum data protection.
What You'll Learn
Module 1: Understanding AI Data Flows
- - How AI models process and store information
- - What happens to your data when you use AI tools
- - The difference between API access and consumer products
- - Reading terms of service like a security professional
Module 2: Secure AI Architecture
- - Building AI workflows that never expose sensitive data
- - Data anonymization and sanitization techniques
- - Air-gapped AI environments
- - Enterprise AI deployment options
Module 3: Practical Security Measures
- - API key management and rotation
- - Credential handling best practices
- - Secure prompt engineering
- - Output filtering and validation
Module 4: Organizational Controls
- - AI acceptable use policies
- - Employee training frameworks
- - Monitoring and audit capabilities
- - Incident response for AI-related breaches
Module 5: Hands-On Implementation
- - Setting up secure AI workflows
- - Implementing data loss prevention for AI
- - Building internal AI tools with security controls
- - Practical exercises with real scenarios
Who Should Attend
✓ IT and Security Leaders
CISOs, Security Directors, IT Managers responsible for data protection and AI governance
✓ Compliance and Risk Professionals
Those ensuring AI usage meets regulatory requirements
✓ Operations Leaders
Executives implementing AI across their organizations
✓ Technology Decision Makers
CTOs, VPs of Engineering evaluating AI tools and vendors
✓ Privacy Officers
Those responsible for data handling and privacy compliance
✓ All Professionals Using AI
Anyone who wants to use AI tools safely and responsibly
Prerequisites: No technical background required. This course is designed for business and security leaders, not engineers.
Your Instructor
Amit Gupta
Founding CTO, NIUM · Founder & CEO, Konfirmity
Founder, Mockingjay · Founder, Vulneron
25+ Years in Technology · 10+ Years in Fintech
As Founding CTO of NIUM, Amit scaled payment infrastructure from 5,000 to 3 million daily transactions across complex regulatory environments. He has since founded three AI companies — Konfirmity (security-driven compliance), Mockingjay, and Vulneron.
Amit created Raksha after watching organizations struggle with the AI security paradox: how to capture AI's productivity gains without exposing sensitive data. Drawing on years of building compliant systems in regulated industries, he developed a practical framework for responsible AI adoption.
Program Details
RAKSHA
In-Person · Singapore
Coming Q2 2026
Pricing will be announced with launch date
Frequently Asked Questions
Do I need technical experience?
No. Raksha is designed for business and security leaders, not engineers. If you use AI tools at work or make decisions about AI adoption, this course is for you.
What's the difference between Raksha and Niti?
Raksha focuses on practical security measures for using AI safely. Niti focuses on compliance, policy, and regulatory frameworks. Raksha is for anyone using AI; Niti is for those writing policies and ensuring compliance.
Will this work for my industry?
Yes. The principles of AI security apply across industries. We cover specific examples from finance, healthcare, legal, and other regulated sectors.
Can I bring my team?
Absolutely. Group discounts are available for teams of 5+. For larger teams or customized delivery, consider Samuh.
Join the Waitlist
Raksha launches Q2 2026. Join the waitlist to be notified when registration opens — and to receive early-bird pricing.