About this role
- Identify, defend, and mitigate against web application attacks, reconnaissance, network attacks like Windows Active Directory or cloud environments, password attacks, post exploitation attacks (against an attacker already in a traditional network or a cloud environment), drive-by attacks, endpoint attacks and so on.
- Detect use of covert or exploitation tools, evasive techniques (used by threat actors to hide their presence in the network), handling incidents by using industry best practices of skills including but not limited to memory & malware analysis, network investigation, etc.
- Responsible for performing deep dive investigation on information security incidents to contain and remediate appropriately. Use in-depth Forensic and Malware analysis, Reverse Engineering Malware skills for proactive identification of threats to Ford.
Industry Certifications:
- ComptiA+
- GCIH (GIAC Certified Incident Handler)
- EC-Council IH (EC-Council Certified Incident Handler)
- GREM (GIAC Reverse Engineering Malware)
- GCFA (GIAC Certified Forensic Analyst)
- Recommended AI/ML Security Certifications Relevant such as SANS, GCP, Azure certifications focused on AI/ML in cybersecurity or other advanced AI/ML security accreditations.
- Automation and Scripting - Python, PowerShell, Shell
Basic Qualifications:
- Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or a related field.
- 3+ Years of Information Technology (IT) experience, with at least 1 year demonstrating practical application of AI/ML concepts in a security context.