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Search correlation , found 19 results

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SIEM Correlation for APT

implementing-siem-correlation-rules-for-apt

mukul975/Anthropic-Cybersecurity-Skills

Crafts multi-event SIEM correlation rules in Splunk SPL and Sigma to detect APT lateral movement by chaining Windows auth, process execution, and network/Sysmon telemetry within sliding time windows for improved operational visibility.

SIEM Detection Use Cases

implementing-siem-use-cases-for-detection

mukul975/Anthropic-Cybersecurity-Skills

Helps SOC teams design detection use cases for SIEM platforms by mapping MITRE techniques, creating correlation rules, and formalizing lifecycle management across Splunk, Elastic, and Sentinel for production monitoring.

Insider Threat Investigation

investigating-insider-threat-indicators

mukul975/Anthropic-Cybersecurity-Skills

Guides SOC analysts through SIEM, DLP, UEBA, and HR data correlation to investigate data exfiltration, unauthorized access, and pre-departure anomalies for insider threats.

SIEM False Positive Reduction

performing-false-positive-reduction-in-siem

mukul975/Anthropic-Cybersecurity-Skills

Systematically tune SIEM rules, thresholds, allowlists, correlations, and enrichment so SOC analysts can focus on genuine threats instead of alert fatigue, especially during security assessments and incident response cycles.

NTLM Relay Detection

detecting-ntlm-relay-with-event-correlation

mukul975/Anthropic-Cybersecurity-Skills

Detect NTLM relay attacks by correlating Windows Security Event 4624 LogonType 3 entries against IP-to-hostname inventories, auditing SMB/LDAP signing enforcement, spotting Responder/LLMNR poisoning traffic, and tagging NTLM downgrade attempts for SIEM alerting.

AI OSINT Correlation

performing-ai-driven-osint-correlation

mukul975/Anthropic-Cybersecurity-Skills

Correlates OSINT findings across usernames, emails, social media, domains, breach records, and dark-web mentions using AI/LLM reasoning to build unified target profiles with confidence scoring and link analysis.

Credit Risk Data Cleansing

datanalysis-credit-risk

github/awesome-copilot

Structured pipeline for credit risk pre-loan modeling that loads and formats raw data, filters abnormal periods, trims high-missing/low-IV/high-PSI/high-correlation features, denoises via Null Importance, and exports an Excel cleaning report for review.

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