Protecting the Future: Cybersecurity Threat Intelligence Specialist

2 days ago

India beBeeCybersecurity Full time ₹ 15,03,000 - ₹ 20,27,000
Cybersecurity Threat Intelligence Analyst

Job Summary:

We are seeking a forward-thinking cybersecurity professional with expertise in threat intelligence and a passion for applying machine learning (ML) to real-world threat detection.

This role combines traditional threat analysis responsibilities with research and development in AI-driven cybersecurity workflows.

The ideal candidate has a strong foundation in incident response and threat triage while being able to experiment with and evaluate ML models to enhance detection capabilities.

  • Threat Monitoring: Analyze and investigate security threats from various sources.
  • Identify root causes of security incidents and recommend mitigation strategies.
  • Differentiate true positives from false positives to refine detection accuracy.
AI & Threat Modelling:
  • Develop and evaluate ML models leveraging historical data to identify emerging threats.
  • Design and run real-world evaluations of model performance, including adversarial scenarios.
  • Research and recommend data sources for training and fine-tuning models.
  • Develop workflows for data curation, labelling, and threat detection.
  • Document findings, processes, and evaluation metrics.
Data & Evaluation:
  • Analyze data to identify trends and patterns that can inform threat intelligence decisions.
  • Establish metrics for reducing false positives and improving precision/recall.
  • Collaborate with security engineers, researchers, and data scientists to operationalize AI-driven threat intelligence workflows.

Requirements:

  • Required: 5+ years of experience in a threat analyst, incident response, or related cybersecurity role.
  • Strong knowledge of threat triage, root cause analysis, and incident handling.
  • Familiarity with security tools (SIEM, EDR, IDS/IPS, etc.).
  • Experience or strong interest in ML applications in cybersecurity.
  • Ability to work independently in part-time shifts.

Preferred:

  • Hands-on experience with ML algorithms (e.g., decision trees, clustering, or classification).
  • Familiarity with Python and data manipulation libraries.
  • Background in threat intelligence, malware analysis, or adversarial testing.
  • Understanding of data curation, annotation, and evaluation methods.

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