Category: Cybersecurity
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AI Can Fix Code, But Not Security: The Hidden Gap in Cybersecurity
AI is powerful at code-level fixes, but real-world security issues are rarely just code problems they are system, context, and environment problems. The Myth: “AI Will Fix Security Bugs Automatically” There’s a growing assumption: “If AI can generate code, it can fix vulnerabilities too.” This works in controlled environments: But real-world security engineering looks very…
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Token Exchange and the Future of Machine Identity
Machine identity is quietly becoming the dominant identity problem on the internet. Not user logins. Not passwords. Not MFA. It’s services, workloads, agents, pipelines, and devices authenticating to other services, at cloud scale, across networks you don’t fully control, with lifetimes measured in seconds. In that world, token exchange is more than an OAuth feature.…
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When Threat Modeling Goes Wrong: Forcing Security Without Understanding the Trade-Off
Threat modeling is one of the most powerful tools in security architecture. When done correctly, it brings clarity. It reveals assumptions. It exposes blind spots. It helps engineering teams design systems that are resilient without becoming unnecessarily rigid. But when done poorly, threat modeling becomes something else entirely. It becomes control inflation. It becomes fear-driven…
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Is OAuth Enough? Security Limitations in Modern Systems
OAuth has become the backbone of modern authentication and authorization systems. It powers API access, mobile applications, SaaS integrations, service-to-service communication, and identity federation across organizations. It is often treated as a solved problem. It is not. OAuth is a powerful delegation framework, but it is frequently misunderstood, misapplied, or over-trusted. Its flexibility is both…