MCP makes AI integration easy but opens new security risks-like shadow servers, prompt hijacking, and connector exploits. Learn how to secure your AI-powered workflows.
Iptables is a technology used in Linux subsystems to filter packets. This was the third attempt, and it proved to be very successful. Let's unpack how they work.
Treat your security rules and compliance like tests that run every time you perform Terraform Plan. Learn how Policy-as-Code (PaC) allows you to do that.
Need RBAC but can’t afford an architecture overhaul? Scoped filtering lets you enforce access control at the API level, making it easy to layer onto your existing system.
Federated learning enables collaborative AI by training models where data lives, sharing only updates — not raw data — to ensure privacy, compliance, and trust.
In this article, I share the key stages of building a secure startup — from IDPs and network planning to SIEM, SOAR, and post-live security best practices.
Most cloud teams aren’t AI ready: Only 51% of infra is automated, and there are major governance gaps and rising costs. Infra maturity (not GPUs) will decide who thrives.
Overprivileged non-human identities expose enterprises to massive risk. Enforcing least privilege with automation and visibility is critical for security.
AI coding is quietly building a “shadow SDLC” inside your organization, spinning up code, dependencies, configs, but requires solid best practices to prevent disaster.
In this article, learn a framework for implementing security protocols in AWS and learn how to implement them across Redshift, Glue, and DynamoDB services.
Integrated caching in Consul greatly improved SCM config delivery speed, using goroutines and checksums to reduce load, though deployment latency initially increased.
