#Shadow AI

Articles about Shadow AI — exploring patterns, best practices, and real-world implementations in production systems.

1 post tagged with shadow ai. ← Blog home

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Pratik Dhanave · ·5 min read

Preparing Security Teams for AI Adoption

Security teams meet enterprise AI twice: first as the thing employees are already using without asking, then as the thing the business formally wants to deploy. A security function prepared for both becomes the reason AI adoption is safe and fast; an unprepared one becomes either the department of no — which drives usage underground — or a rubber stamp that discovers the risks in an incident report. This post is the adoption program's view of AI security: what's genuinely new, and how to get ahead of it.

Security meets AI twice: as shadow AI employees already use, then as the systems the business wants to deploy. Treat shadow AI as demand signal, learn the genuinely new surface — prompts as exfiltration, injection via content, agents as non-human identities, fluent wrongness — and build the paved road with risk-tiered review so the safe path is the fast path.

#AI Adoption#AI Security#Shadow AI#Enterprise AI#AI Strategy#Prompt Engineering

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse the blog or explore related topics using the tag cloud above.