Security Architecture
AI for Security Infrastructure: Rebalancing Cybersecurity for the Decade AheadÂ
An exploration of the shift from reactive "assume breach" mentalities to AI-driven prevention, highlighting how Domain-Specific Language Models (DSLMs) empower security architects to eliminate configuration drift and tool sprawl ...
Prevention is the Only Cloud Security Strategy That WorksÂ
In the evolving digital economy, adopting a prevention-first strategy for cloud workflows is essential. This article explores the importance of preemptive security measures to protect sensitive operations from breaches, detailing steps for ...
Predict 2026: AI, Trust and the Security Reckoning Ahead
Join us at Predict 2026 to understand how AI transforms security, governance, and risk management, preparing leaders for the rapidly evolving landscape ...
The Mosaic Effect: Why AI Is Breaking Enterprise Access ControlÂ
AI’s mosaic effect turns harmless data into sensitive insight. Learn why traditional access control fails and how REBAC secures AI-driven environments ...
Secure-by-Design has an Incentive Problem
In my last blog post, I argued that we don’t need more innovation invention to fix the broken state of SaaS and cloud security that Patrick Opet’s open letter was calling out ...
The Innovation We Need is Strategic, Not Technical
In my recap of RSAC 2025, I referenced the open letter that Patrick Opet, CISO of JPMorgan Chase, published in which he spoke about how essential security guardrails are being broken down ...
The Great Security Tool Consolidation: How Enterprises are Rethinking Their Security StrategyÂ
Security teams are increasingly abandoning the long-standing approach of deploying numerous specialized point solutions in favor of consolidated security platforms ...
5 Common Pitfalls to Avoid With Zero-Trust
Implementing zero-trust is not straightforward — security teams can overlook critical items that impact zero-trust initiatives and limit their effectiveness ...
USENIX Security ’23 – Black-box Adversarial Example Attack Towards FCG Based Android Malware Detection Under Incomplete Feature Information
Author/Presenters: Heng Li, Zhang Cheng, Bang Wu, Liheng Yuan, Cuiying Gao, Wei Yuan, Xiapu Luo Many thanks to USENIX for publishing their outstanding USENIX Security ’23 Presenter’s content, and the organizations strong ...
USENIX Security ’23 – Simone Aonzo, Yufei Han, Alessandro Mantovani, Davide Balzarotti – Humans vs. Machines in Malware Classification
Many thanks to USENIX for publishing their outstanding USENIX Security ’23 Presenter’s content, and the organizations strong commitment to Open Access. Originating from the conference’s events situated at the Anaheim Marriott; and ...
