Cyber Security Specialist (AI Defenses)

Hybrid in Columbia, SC, US • Posted 18 hours ago • Updated 18 hours ago
Contract Corp To Corp
Contract W2
1 Year
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • CYBER SECURITY SPECIALIST
  • AI DEFENSES
  • SIEM/SOAR
  • PYTHON
  • BASH
  • POWERSHELL
  • AI THREAT DETECTION
  • CSOC

Summary

Cyber Security Specialist (AI Defenses)


Summary / Need
To strengthen focus and detection/response against AI-enabled threats and to implement monitored guardrails for enterprise generative AI usage

Expected Outcomes

  • Accelerate detection and triage: Implement AI-assisted alert enrichment (context correlation, reputation checks, summarization) and tune detections to reduce noise and improve prioritization
  • Expand AI threat coverage: Build and maintain detections, correlations, and playbooks for AI-enabled threats (deepfakes, synthetic phishing/impersonation, prompt injection, risky plugins/connectors, and anomalous AI tool usage), with routine testing and tuning.
  • Operationalize AI monitoring and response: Establish monitoring for AI tools (identity, device, data, network, audit/DLP signals) and publish AI incident response runbooks with escalation criteria, evidence standards, and tabletop validation.

Measures of Success (First 6–12 Months)

  • Detection catalog in production: Publish an AI threat detection catalog mapped to telemetry sources and deploy an initial prioritized detection set with a monthly tuning cadence.
  • Faster, cleaner triage: Reduce repeat false positives and improve time-to-triage/time-to-escalation for AI-related alerts through enrichment and tuning.
  • Monitored guardrails: Stand up baseline monitoring and anomaly thresholds for approved AI tools and deliver recurring executive-ready reporting on risky usage patterns and remediation.
  • Validated response capability: Publish AI-focused IR runbooks and validate via tabletop exercises; feed lessons learned into playbooks and detection tuning.


Key Qualifications

  • Security operations/detection engineering/IR experience with SIEM/SOAR workflows; automation/scripting skills (e.g., Python, KQL/SPL).
  • Working knowledge of AI/ML risk patterns (prompt injection, data leakage, and over-trust of outputs).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91129433
  • Position Id: 26-00369
  • Posted 18 hours ago
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