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#adversarial_ml (1)
The State of ML for SOC-Grade Network Anomaly Detection (2022–2026) O estado do ML para detecção de anomalias de rede em nível SOC (2022–2026)
What works, what fails, and what’s hype: Transformers, interaction graphs, encrypted traffic, drift, base-rate constraints, and adversarial pressure.
#ai_agents (1)
Agent Skills for Defensive Automation: Technical Analysis and Counterpoints Agent Skills para Automação Defensiva: Análise Técnica e Contrapontos
A SOC focused analysis of Agent Skills (Codex, Claude, and the open standard) with practical examples and risk controls.
#anomaly_detection (1)
The State of ML for SOC-Grade Network Anomaly Detection (2022–2026) O estado do ML para detecção de anomalias de rede em nível SOC (2022–2026)
What works, what fails, and what’s hype: Transformers, interaction graphs, encrypted traffic, drift, base-rate constraints, and adversarial pressure.
#automation (1)
Agent Skills for Defensive Automation: Technical Analysis and Counterpoints Agent Skills para Automação Defensiva: Análise Técnica e Contrapontos
A SOC focused analysis of Agent Skills (Codex, Claude, and the open standard) with practical examples and risk controls.
#cybersecurity (1)
The State of ML for SOC-Grade Network Anomaly Detection (2022–2026) O estado do ML para detecção de anomalias de rede em nível SOC (2022–2026)
What works, what fails, and what’s hype: Transformers, interaction graphs, encrypted traffic, drift, base-rate constraints, and adversarial pressure.
#detection_engineering (1)
The State of ML for SOC-Grade Network Anomaly Detection (2022–2026) O estado do ML para detecção de anomalias de rede em nível SOC (2022–2026)
What works, what fails, and what’s hype: Transformers, interaction graphs, encrypted traffic, drift, base-rate constraints, and adversarial pressure.
#dfir (1)
Agent Skills for Defensive Automation: Technical Analysis and Counterpoints Agent Skills para Automação Defensiva: Análise Técnica e Contrapontos
A SOC focused analysis of Agent Skills (Codex, Claude, and the open standard) with practical examples and risk controls.
#governance (2)
Agent Skills for Defensive Automation: Technical Analysis and Counterpoints Agent Skills para Automação Defensiva: Análise Técnica e Contrapontos
A SOC focused analysis of Agent Skills (Codex, Claude, and the open standard) with practical examples and risk controls.
The State of ML for SOC-Grade Network Anomaly Detection (2022–2026) O estado do ML para detecção de anomalias de rede em nível SOC (2022–2026)
What works, what fails, and what’s hype: Transformers, interaction graphs, encrypted traffic, drift, base-rate constraints, and adversarial pressure.
#machine_learning (1)
The State of ML for SOC-Grade Network Anomaly Detection (2022–2026) O estado do ML para detecção de anomalias de rede em nível SOC (2022–2026)
What works, what fails, and what’s hype: Transformers, interaction graphs, encrypted traffic, drift, base-rate constraints, and adversarial pressure.
#network_security (1)
The State of ML for SOC-Grade Network Anomaly Detection (2022–2026) O estado do ML para detecção de anomalias de rede em nível SOC (2022–2026)
What works, what fails, and what’s hype: Transformers, interaction graphs, encrypted traffic, drift, base-rate constraints, and adversarial pressure.
#prompt_injection (1)
Agent Skills for Defensive Automation: Technical Analysis and Counterpoints Agent Skills para Automação Defensiva: Análise Técnica e Contrapontos
A SOC focused analysis of Agent Skills (Codex, Claude, and the open standard) with practical examples and risk controls.
#security_operations (1)
Agent Skills for Defensive Automation: Technical Analysis and Counterpoints Agent Skills para Automação Defensiva: Análise Técnica e Contrapontos
A SOC focused analysis of Agent Skills (Codex, Claude, and the open standard) with practical examples and risk controls.
#soc (2)
Agent Skills for Defensive Automation: Technical Analysis and Counterpoints Agent Skills para Automação Defensiva: Análise Técnica e Contrapontos
A SOC focused analysis of Agent Skills (Codex, Claude, and the open standard) with practical examples and risk controls.
The State of ML for SOC-Grade Network Anomaly Detection (2022–2026) O estado do ML para detecção de anomalias de rede em nível SOC (2022–2026)
What works, what fails, and what’s hype: Transformers, interaction graphs, encrypted traffic, drift, base-rate constraints, and adversarial pressure.
#supply_chain (1)
Agent Skills for Defensive Automation: Technical Analysis and Counterpoints Agent Skills para Automação Defensiva: Análise Técnica e Contrapontos
A SOC focused analysis of Agent Skills (Codex, Claude, and the open standard) with practical examples and risk controls.