Case Study
From security roadblock to deals signed
An AI-native LMS lost a large enterprise deal over security. 28 vulnerabilities surfaced, 11 critical fixes shipped, and active deals progressed through review.
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Articles
Thinking on AI security - from the team building it
Articles, briefings and analyses on AI security, AI governance and the regulations reshaping both. Written by practitioners.
Deep Dive
India has a two-sided data problem. And both sides are getting worse simultaneously.
DPDPA enforcement and Shadow AI are converging into a high-probability, high-impact data risk surface for Indian organizations.
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Deep Dive
How Google DeepMind is Defeating Prompt Injection “By Design”
A new paper from Google DeepMind proposes a paradigm shift: stop trying to make the model smarter and start making the architecture secure.
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Deep Dive
MCP is certainly an improvement but not magic
Organizations that treat MCP as a serious platform decision invest in schemas, runtime controls and ownership. Others adopt quickly, hit hidden costs and lose confidence in agentic systems altogether.
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Quick Note
AI Security Awareness
Enterprises are moving quickly with AI, but most lack visibility into where AI is used, what data it can access and what actions it can take at runtime.
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Quick Note
The Hard Truth
Generative AI and agentic systems create whole new runtime surfaces. Enterprises are seeing attacks accelerate, while breaches involving shadow AI cost materially more.
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Briefing
Security Trends - 2026
Cybersecurity is shifting from reactive detection to predictive, AI-native, identity-centric and continuously governed systems. Static, scan-and-respond security will not scale into 2026.
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Quick Note
Security teams aren’t failing. Their tools are failing them
Security teams are being asked to review AI projects before they go to production - and they’re being set up to fail.
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