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Strategic insights on blockchain, AI, security, leadership, and career in an age of disruption.
AI Workers and the Future of Senior Knowledge Work
OpenAI's Presence shifts AI from a tool you build on to a governed worker that handles senior tasks like claims and billing disputes, forcing leaders to rethink where expertise actually lives.
Recent Essays
Permissioned Blockchain: Why Incumbents Win
Permissioned blockchains aren't crypto adoption—they're how incumbents keep control. Swift's 17-bank network proves gatekeepers choose the tech that keeps them in charge.
Bot Auth Is The New SPF: Prepare Your AI Agents
Web crawlers now need verified identity like email senders. Learn why bot authentication matters for your AI agents and enterprise reputation.
AI Won't Beat Your Best Analyst—But It Will Hollow Out Your Org
AI disruption in finance isn't about outperforming top talent—it's about compressing analytical work layers. Learn where the real org chart repricing happens.
AI Voice Phishing: Why Your Defenses Face the Wrong Direction
AI voice-cloning has fundamentally reversed phishing attacks—now criminals call employees impersonating trusted leaders, exploiting help desk processes instead of technical vulnerabilities.
#ai security
13 posts
AI vs. AI: Why Human Phishing Training Failed
Twenty years of phishing training won't work against AI-generated attacks. The real defense isn't better employees—it's automated classifiers that stop threats before humans see them.
AI Credential Risk: The Gap CISOs Are Missing
CISOs focus on prompt security while AI agents quietly accumulate dangerous credentials. Learn why traditional access controls fail with AI and how to build a credential inventory.
Provenance Over Detection: AI, Deepfakes & Trust
As deepfakes become 95% real, detection tools fail. Blockchain's provenance model—the oldest audit principle encoded into technology—is the only viable defense for financial services leaders.
AI Security: Why Operational Hygiene Beats Capability
Anthropic's breached deployment reveals a critical lesson: sophisticated AI means nothing without basic security practices. Real security requires transparent systems, not vendor promises.
AI Security Just Became a Budget Problem
Anthropic's breakthrough shows cybersecurity now runs on compute economics, not architecture. CISOs must shift from design to capital planning.
AI Just Changed Your Patch SLA Game
Anthropic's AI found critical vulnerabilities in seconds that tools missed 5 million times. Your security assumptions about patch windows just became obsolete.
AI Security Research: From Noise to Signal
AI-assisted security researchers are finding real vulnerabilities at machine speed. Your patch cycle designed for humans won't survive this shift.
AI Output Is Untrusted Input: A Security Framework
Stop treating AI as special. Apply your existing security protocols for untrusted data to AI output—verify before deployment, same as external code.
Why AI Falls for Medical Misinformation 47% of the Time
LLMs pattern-match authority signals rather than evaluate truth, creating critical risks in high-stakes domains like healthcare and finance. Discover why training data alone won't fix this architectural flaw.
AI Security Theater: Why Confirmation Prompts Fail
Explicit approval requirements don't secure AI systems—they create false confidence. Real AI security requires architectural input validation, not procedural friction.
Beyond Authentication: Building Resilience Against Deepfakes
Instagram's cryptographic signing won't stop synthetic media fraud. Learn why consequence management, not verification, is the security model that actually works.
AI Trading with Real Money: What Finance Leaders Must Know
Six AI models are trading real crypto on Hyperliquid with $10,000 each. Here's why financial services leaders need to rethink compliance, risk, and accountability now.