Results for “false-positives”
12 skills
trailofbits fp-check
Verifies suspected security bugs to eliminate false positives, producing a TRUE POSITIVE or FALSE POSITIVE verdict with documented evidence for each.
6k · bundle
mukul975 performing-false-positive-reduction-in-siem
Systematically reduce SIEM false positives through rule tuning, threshold adjustment, correlation refinement, and threat intelligence enrichment to combat alert fatigue.
24.6k · bundle
mukul975 performing-web-application-vulnerability-triage
Triage web application vulnerability findings from DAST/SAST scanners using OWASP risk rating methodology to separate true positives from false positives and prioritize remediation.
24.6k · bundle
More results
mukul975 deploying-honeytokens-and-canarytokens
Deploy honeytokens and canarytokens as decoy artifacts to detect intrusions with near-zero false positives.
24.6k · bundle
mukul975 implementing-siem-use-case-tuning
Reduce SIEM alert fatigue by systematically tuning detection rules in Splunk and Elastic, using statistical baselines, whitelists, and precision/recall metrics.
24.6k · bundle
kensaurus audit-ui-states
Read-only audit of unhappy-path UI states vibe-coding skips — empty, loading, error, offline, zero-results, permission, overflow — then plan fixes. Use when "check empty/error states", "audit loading states", or "what happens when this fails". Dead buttons → plan-stub-checker; backend timeouts → audit-resilience.
8
mukul975 performing-deception-technology-deployment
Deploys deception technology including honeypots, honeytokens, and decoy systems to detect attackers who have bypassed perimeter defenses, providing high-fidelity alerts with near-zero false positive rates.
24.6k · bundle
petar-nauka fact-check
Verifies claims, articles, screenshots, and URLs through source-grounded analysis with an evidence ledger, source credibility evaluation, and manipulation detection. Supports quick checks, full fact-check cards, two-source comparisons, and prebunking in multiple languages and policy contexts.
74 · bundle
mukul975 detecting-data-and-model-poisoning
Detect poisoned training data and backdoored models across the ML pipeline using statistical analysis, activation clustering, and spectral signatures.
24.6k · bundle
mukul975 implementing-web-application-logging-with-modsecurity
Configure ModSecurity WAF with OWASP Core Rule Set for web application logging, tune rules to reduce false positives, and analyze audit logs for attack detection.
24.6k · bundle
mukul975 performing-yara-rule-development-for-detection
Develop precise YARA rules for malware detection by identifying unique byte patterns, strings, and behavioral indicators in executable files while minimizing false positives.
24.6k · bundle
alunduil vale
Audit, write, or revise .vale.ini, or work through vale findings on a repo. Use when adding Vale, troubleshooting silent passes or noisy findings, evolving config, or applying the suggestion → warning → error cleanup cascade after a vale run (interactive or pre-commit failure). Applies the two-hook pre-commit pattern (sync + lint), explicit Packages and per-format BasedOnStyles, scoping/ignores for false positives, and a shared accept.txt vocabulary.
1 · bundle