Related skills
python ai llm automation malware_analysisπ Description
- Research how threat actors leverage AI across the attack lifecycle.
- Investigate AI-assisted social engineering, AI malware, and adversarial attacks.
- Instrument telemetry to detect AI-driven attacker behavior at scale.
- Analyze telemetry, OSINT, and case data to surface AI threat trends.
- Identify opportunities to automate research and reporting with LLMs and tooling.
- Collaborate with CTU, SophosLabs, MDR threat hunters, data scientists, and engineers to produce actionable intelligence.
π― Requirements
- Ability to interpret data from diverse telemetry sources and translate into actionable intelligence.
- Exceptional written communication for technical and executive audiences.
- Experience in at least two: threat intelligence, malware analysis, detection engineering, or AI/ML research.
- Strong knowledge of threat actor ecosystems, modern attack techniques, and MITRE ATT&CK.
- Hands-on Python and AI development: multi-agent systems, LLM APIs, and retrieval-augmented generation.
- Experience building automation tools to streamline analytical or reporting workflows.
π Benefits
- Remote-first work model; some roles may be hybrid.
- Diverse, inclusive culture with active employee networks.
- Charity and volunteer initiatives.
- Global sustainability and wellbeing programs.
- Wellbeing days, webinars, and training.
- Opportunities for professional development and conference participation.
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