📰 Dev.to · Mike Anderson

Run CyberChef locally on Kali and combine deterministic recipes with AI analysis for incident response, forensics and authorized testing.

A practitioner-grade catalog of major AI platforms by model, inference engine, harness, domain fit, operational risk, and transparent fuzzy-effectiveness score.

A practical architecture decision guide for AWS security teams choosing between AWS Managed MCP, custom MCP, and Lambda + boto3 + Bedrock for Security Hub and G

A practical, security-first guide to MCP, AWS Agent Toolkit, Claude Code, Codex, IAM guardrails, and a governed read-only Security Hub triage workflow.

A practical control matrix for implementing and evidencing state-owned ICS cybersecurity controls.

How to use AI safely in ICS cybersecurity, govern suppliers, build national policy, and execute a 180-day roadmap for state-owned critical infrastructure.

A board and ministry-level executive summary for protecting state-owned industrial control systems and national critical infrastructure.

A practical national operating model for protecting critical infrastructure before, during, and after cyberattacks.

A practical, security-focused guide to building a Claude Code project template with skills, agents, hooks, local MCP configuration, repo safety checks, and safe

A practical security-operations view of multimodal AI for SOC, incident response, phishing triage, cloud reviews, WAF analysis, vulnerability management, audit

A practical implementation pattern for protecting mobile APIs from headless browser agents using Cloudflare Turnstile, backend verification, scoped clearance to

A practical enterprise security and governance view of AI models from China, South Korea, Japan, Russia, and North Korea.

AI can improve productivity, but it also changes how sensitive data moves. The right controls help...

A hands-on implementation guide for building a policy-controlled AI agent harness with FastAPI, tool allowlists, approval gates, validation, audit logging, and

A practical security architecture for governing employee AI usage and building a production AI agent with identity, permissions, tool controls, approvals, loggi

A practical enterprise architecture for governing employee AI usage across browsers, application APIs, and internal Bedrock-based AI systems.

A practical security model for deciding when AI usage policy is enough and when an AI agent needs a secure runtime, approval gates, logging, and least-privilege

A practical engineering guide to agent loops, harnesses, tool use, guardrails, observability, and security controls for production AI agents.

A practical, human guide to using CASB, SWG, DLP, MDM, and identity controls to reduce risky copy/paste into external AI tools.

A practical, human guide to using CASB, SWG, DLP, and secure browser controls to reduce risky copy/paste into ChatGPT, Claude, Canva, Midjourney, and other exte

A practical, human guide for teams trying to reduce risky copy/paste into external AI tools

A practical guide for engineers, cybersecurity teams, and DevSecOps leaders deciding whether to run...

A practical, security-focused walkthrough of using AWS Lambda, Security Hub, Amazon Bedrock, Claude Sonnet 4.6, S3, ECR, and EventBridge to reduce finding noise

A practical explanation of how digital signatures prove authenticity and integrity, why hashing matters, and what junior cybersecurity engineers should verify b