Cybersecurity

⚠️ Update Notice (October 2025) Lambda Inference API Deprecation: This post was originally written for Lambda Labs’ Inference API, which was deprecated on September 25, 2025. All code examples have been updated to use the OpenAI API with GPT-4, which provides similar or superior vulnerability detection capabilities. The core concepts, methodologies, and security patterns remain unchanged. Alternative Providers: The patterns demonstrated here work with any OpenAI-compatible API, including: OpenAI (GPT-4, GPT-4-Turbo) Together AI (various open models) Anthropic (Claude models via different SDK) Azure OpenAI Service (enterprise deployments) Research Disclaimer This tutorial is based on: ...

Research Disclaimer This tutorial is based on: Resilience4j v2.1+ (Java resilience library) Polly v8.0+ (C# resilience library) Istio Service Mesh v1.20+ (traffic management, observability) OpenTelemetry v1.25+ (distributed tracing standard) Chaos Mesh v2.6+ (Kubernetes chaos engineering) Prometheus v2.47+ (monitoring and alerting) Grafana v10.0+ (visualization and dashboards) TensorFlow v2.15+ (machine learning for failure prediction) All architectural patterns follow industry best practices from the Site Reliability Engineering (SRE) discipline and the Twelve-Factor App methodology. Code examples have been tested in production-like environments as of January 2025. ...

The Hidden Threat of Stalkerware: Understanding and Protecting Against Stealthy Surveillance Note: This guide is based on security research, forensic analysis techniques, and documentation from anti-stalkerware coalitions. The detection and removal methods described are technically validated but should be applied carefully, especially in situations involving domestic abuse where device tampering may escalate danger. Unusual battery drain and device overheating are among the most common indicators of stalkerware infection. Unlike sophisticated state-sponsored malware or advanced persistent threats (APTs), commercial stalkerware represents a $30/month consumer product that anyone can purchase with a credit card. These applications are marketed as “parental monitoring software” or “employee tracking tools,” yet research from the Coalition Against Stalkerware indicates their primary use is intimate partner surveillance. ...

Securing the Internet of Things: A Comprehensive Guide to Implementing Cybersecurity Measures for IoT Devices Research Disclaimer: This guide is based on ESP32 Arduino Core v2.0.14+, PubSubClient (MQTT) v2.8+, ArduinoJson v6.21+, and OpenSSL/mbedTLS v2.28+ official documentation. All code examples follow OWASP IoT Top 10 security guidelines and include production-tested patterns for device authentication, encrypted communication, and firmware integrity. IoT security requires defense-in-depth—no single technique is sufficient. IoT devices are uniquely vulnerable: they’re resource-constrained, physically accessible, and often deployed in unmonitored locations. The 2016 Mirai botnet (which compromised 600,000 IoT devices) and recent attacks on medical IoT devices underscore the critical need for robust security. This guide provides complete, production-ready implementations for securing IoT devices. ...