Author: khirawdhi
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Breaking Service-to-Service Trust in Microservices
Modern cloud-native architectures are built on an assumption that quietly becomes catastrophic at scale: “Internal traffic is trusted.” Not explicitly. Not architecturally documented. But operationally everywhere. A service authenticates once. Receives broad internal access. Starts talking to downstream systems. And suddenly the entire platform behaves like a flat internal network with prettier YAML. This is…
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mTLS Between Microservices Explained: Step-by-Step with Real Architecture Examples
Modern applications rarely run as a single system anymore. A single user request may travel through: This architecture increases scalability and engineering velocity. It also creates a dangerous security problem: How do services know they are talking to legitimate internal services and not an attacker sitting inside the network? This is where mTLS (Mutual TLS)…
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Secure by Design vs Secure by Patch: Why Most Systems Stay Insecure
Most systems are not insecure because developers don’t patch vulnerabilities. They are insecure because they were never designed to be secure in the first place. We’ve normalized a cycle: And repeat. This feels like security. But it’s not. It’s damage control. What is “Secure by Patch”? Secure-by-patch is what most teams practice today. It means:…
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AI Security Is an Inference Problem: Designing Secure Runtime Architectures
AI Systems Are Not Failing Where You Think AI systems are not breaking because models are weak. They are breaking because no one is designing how they behave under attack at runtime. We are still securing AI systems like traditional software: AI systems are none of these. They generate behavior dynamically, based on: You are…
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Your Threat Model Will Fail – And Here’s Why
There’s a quiet assumption baked into most security programs: “If we threat model well enough, we can predict and prevent attacks.” That assumption is wrong. Not because threat modeling is useless but because it is fundamentally incomplete by design. If you’re building modern systems, cloud-native, distributed, AI-driven, your threat model will fail. The only question…