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AI for the rest of us

AI for the rest of us presented Agent Craft, a focused one-day unconference for agent builders.

Friday, 12th June 2026 · London, UK

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  4. /Ashish Rajan
Decorative background patternAshish Rajan

Ashish Rajan

CISO, Kaizenteq
  • panel - Technical Track - Developer Experience

    From Sandbox to Production: Making AI Work in Regulated Enterprises

    Wednesday 15th October 2025 • 2:40 PM - 3:10 PM
    Ashish RajanAshish RajanShilpi BhattacharjeeShilpi BhattacharjeeSean CatlettSean CatlettParinita KothariParinita Kothari

    Big tech,Financial services, healthcare, telecom, and other regulated industries are all in a race by their CEOs to harness AI’s potential while staying compliant, secure, and resilient. But what does it actually take to move from experimentation to enterprise-grade AI in these environments? Is there even a NoCode version of production that is possible?


    This panel brings together leaders with deep experience across working with AI in organizations to explore the realities of building AI capability “for the rest of us”.


    Panelists will share lessons learned from deploying AI in highly regulated contexts, covering everything foundational building blocks of secure AI ecosystems, to managing third-party tools, addressing data leakage, and balancing innovation with governance.


    If you’re wrestling with how to responsibly build, scale, and govern AI beyond the hype, this session should leave you with practical insights and a clearer path forward.

About Ashish Rajan

Ashish is a CISO and Cybersecurity leader with 15+ years helping tech and enterprise organizations navigate risk, resilience, across Generative AI, Autonomous agents & Cloud.

Through his work he brings a CISO’s lens to the AI conversation, working with CISOs, CTOs, CIOs, and boards to adopt GenAI securely, govern it responsibly, and align it with enterprise risk strategy.

Current focus areas include:
• AI-native threat models & security architecture
• LLM risk governance and prompt-based attacks
• Secure GenAI adoption in enterprise environments
• Shadow AI, policy gaps, and data exposure risks