Articles

Practical thinking on AI security and governance.

Field notes, analysis, and perspectives from the SaaviGenAI team — written for security leaders, AI practitioners, and enterprise teams navigating the new AI landscape.

Published

Latest articles.

Perspectives on AI security, LLM governance, and enterprise AI adoption — with more in progress.

Will Indian Banks Trust Claude with Their Core Banking Data?
LinkedIn PulseAugust 4, 2026

Will Indian Banks Trust Claude with Their Core Banking Data?

Anthropic's India-hosted Claude addresses data residency requirements, but trust in enterprise AI goes beyond where data is processed. For highly regulated sectors like banking, governance, control, auditability and data sovereignty will likely shape AI adoption, driving a hybrid approach where closed models power general workloads while self-hosted models handle mission critical systems.

Nanda Kumar Kirubakaran
Claude Went Rogue? Or Did the Sandbox Fail?
LinkedIn PulseAugust 3, 2026

Claude Went Rogue? Or Did the Sandbox Fail?

Anthropic's recent findings show that the biggest AI security risks may not come from the model itself, but from the environments in which AI agents operate. As agents gain greater autonomy, organizations need end-to-end visibility into AI behavior, tool usage, credentials and runtime activity - making AI Detection & Response (AIDR) the next critical layer of enterprise AI security.

Nanda Kumar Kirubakaran
SaaviGenAI Sponsors Anthropic CCCL AI Security Event in Bengaluru
SaaviGenAI BlogJuly 12, 2026

SaaviGenAI Sponsors Anthropic CCCL AI Security Event in Bengaluru

70+ security professionals, engineers, and AI enthusiasts gathered for an evening of deep-tech learning on Constitutional AI, threat models, and the future of AI security in India.

SaaviGenAI Team
Claude Mythos & Project Glasswing: The Moment AI Crossed Into Cyber Offense Reality
LinkedIn PulseApril 8, 2026

Claude Mythos & Project Glasswing: The Moment AI Crossed Into Cyber Offense Reality

Anthropic's Claude Mythos can identify high-severity vulnerabilities, generate functional exploits, and has already found thousands of previously undetected flaws fundamentally shifting the cybersecurity asymmetry toward AI-assisted attackers.

Nanda Kumar Kirubakaran
LLMs Are Trained on Only 5% of the Internet — Here's Why That Matters
MediumOctober 19, 2025

LLMs Are Trained on Only 5% of the Internet — Here's Why That Matters

Large Language Models are trained only on the publicly crawlable surface web — excluding paywalled content, private data, and restricted sources. Understanding this gap is critical for anyone building or governing AI systems.

Nanda Kumar
The Cost of Unchecked Ai Deloittes 440k And Reputation Reminder For Every Leader
MediumOct 10, 2025

The Cost of Unchecked Ai Deloittes 440k And Reputation Reminder For Every Leader

Deloitte’s $440k AI hallucination error highlights why business leaders must rigorously verify automated outputs to protect credibility.

Nanda Kumar

Start The Conversation

Ready to strengthen security for the AI-powered enterprise?

Tell us where you are today. We will help you identify a practical path forward.

Contact Us