Adversarial Logic breaks down academic adversarial machine learning and AI security papers into practical explanations, covering vulnerability fundamentals, supply chain due diligence, and LLM jailbreak defenses. Readers get clear, technically grounded accounts of why AI systems are attackable and what defenses do and do not work.
Website: https://adversariallogic.com/
Analysis of AI agent security, cost and compliance, drawing on benchmarks, industry data and the author's experience building and securing agent platforms. Each issue argues a specific position, such as treating tool surfaces as dependency trees or the context window as a budget.
A cloud and identity security researcher writes long-form posts on privilege escalation, confused-deputy risks in cloud service accounts, and the state of vulnerability exploitation. The newsletter explains technical attack paths and mitigations in detail, with a personal, opinionated voice.
A CISO-focused newsletter that turns security topics into practical guidance, covering how to report identity program results in risk and ROI terms and how to set approval and accountability rules for autonomous AI agents before an incident. Readers get concrete frameworks, governance checklists and board-ready framing for security leadership.
Resilient Cyber covers security for AI and agents, with essays and interviews on agent identity, access control and trust architecture. Readers get an analysis of emerging security primitives and industry developments, aimed at both leadership and technical practitioners.
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