How Institutional Judgment Could Have Changed the Outcome March 15, 2026 | Dakshineshwari LLC | v1.0 Executive Summary On March 11, 2026, the Iran-linked Handala group struck Stryker Corporation, a $25 billion medical technology company whose products touch 150 million patients annually across 61 countries. The attackers used living-off-the-land techniques, reportedly leveraging Microsoft Intune to remotely wipe over 200,000 devices across 79 countries. Manufacturing, order processing, and...

A working demo of compounding intelligence for security operations. 15 minutes · Running code · Three learning loops · Live threat intelligence · Tamper-evident audit trail Every triage decision should make the next one smarter. Yours doesn't. Your analysts spend two hours per shift on mechanical collection — five browser tabs, copy-paste, Pulsedive says high-risk, GreyNoise says known scanner, the fusion happens in someone's head and walks out the door at shift change. That's a real problem....

Autonomous agents can reason, plan, and execute. Context graphs give them institutional knowledge. But neither technology alone creates an AI system that gets better at its job over time. This paper introduces compounding intelligence — the architectural pattern that connects agents, graphs, and a feedback loop that enables self-improving judgment. Grounded in transformer attention theory and validated through four controlled experiments, it explains how to build enterprise AI systems that...