GPU-as-a-Service makes it easier to share accelerators, but it also raises concerns about isolation and security. This introduces a secure Kubernetes architecture.
Active Directory is the heartbeat of the enterprise, and a favorite target of attackers. Here is an architectural pattern for AI-driven anomaly detection and remediation.
Hashing detects tampering, but it doesn't prevent it. Here is an architectural pattern for securing business-critical files using Amazon QLDB and the Symbol Blockchain.
Engineers rely on rollback to keep systems stable—but sometimes it isn’t possible. This article explores irreversible changes and why baking and testing matter.
AI-driven development is outpacing security teams. This piece examines where AI-powered security actually help, where they fail, and how teams can use them responsibly.
Agent identity and its audit history will enforce zero-trust access for agents based on both identity and past behavior. This makes agent access more secure and reliable.
HAIP 1.0 mandates signed requests (JAR), encrypted responses, and certificate-based verifier identity for VP flows. Here's how to approach it with Spring and Android.
ML systems introduce security risks most teams aren’t prepared for. The piece explores emerging ML-specific threats and what effective MLSecOps looks like in practice.
MCP makes LLM tool access easy and turns it into a bigger security surface. Treat it like infrastructure: least privilege, tight tool scope, and strong audit logs.
AI coding tools boost speed but weakens security and developer judgment. Here’s how hidden vulnerabilities escape review and what must change before a breach hits.