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Detection Engineering

6 articles on detection engineering.

VIPER Red Team Platform: What It Is and How Defenders Should Respond (2026)
VIPER is an open red-team / adversary-simulation platform (github.com/FunnyWolf/Viper) with 100+ post-exploitation modules, a visual UI and an integrated LLM agent, built to exercise the full MITRE ATT&CK chain. What it is, how it compares to Cobalt Strike, and the defensive takeaways for blue teams.
October 25, 2026
Purple Teaming: What It Is and How to Run an Effective Exercise (2026)
Purple teaming is a collaborative exercise where offensive (red) and defensive (blue) teams work together to emulate attacker techniques and measurably improve detection and response. What it is, how it differs from red teaming, and a step-by-step way to run one.
October 25, 2026
SIEM vs SOAR: The Real Difference and When You Need Each (2026)
SIEM collects and correlates security logs to detect threats; SOAR automates the response with playbooks. How they differ, whether you need both, and where Splunk, XDR and MDR fit.
October 25, 2026
Inside AegisLoop (ARTEX-KO Plus): An Autonomous Agent That Turns a Vulnerability Into a Detection
A plain-English walkthrough of AegisLoop / ARTEX-KO Plus, an open-source (AGPL-3.0) AI-agent security-validation platform: how it goes from an authorized-scope finding to attack/detection scenarios, defense validation against real logs, incident investigation, and autonomous Splunk threat-hunting โ€” and the guardrails that keep it a blue-team tool.
October 25, 2026
AI-Enabled Cyberattacks: How Attackers Misuse LLMs
AI-enabled cyberattacks are real but bounded. Learn how attackers misuse LLMs for phishing and recon, why guardrails limit uplift, and how to defend.
September 11, 2026
How AI Labs Detect and Disrupt Misuse: Lessons for CISOs
How AI labs detect AI misuse with monitoring, classifiers and threat intelligence, plus the AI trust and safety lessons CISOs can apply to their own AI.
September 11, 2026
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