Explore the critical and rapidly evolving field of AI security in 2025 and beyond. With AI now used in 40% of cyberattacks and 93% of companies facing these smart threats daily, the demand for skilled professionals to defend against them is soaring.
This episode dives into the essential role of the AI Security Engineer, a vital position that combines expertise in both AI systems and security methods.
We discuss the urgent need for AI security experts, driven by the significant financial costs of cybercrime and the use of AI in critical sectors like finance and healthcare. Learn about the unique vulnerabilities of AI systems and why traditional security approaches are often insufficient.
Discover the diverse responsibilities of an AI Security Engineer, who works to secure machine learning systems throughout their entire lifecycle.
Their key duties include:
Protecting AI systems from attacks targeting data, models, and infrastructure.

• Conducting vulnerability assessments against AI models.
• Building defences against sophisticated AI-based attacks.
• Enforcing data privacy protocols.
• Performing threat modelling and testing AI for weaknesses.
• Developing incident response plans.
• Collaborating with Data Scientists and Developers to integrate security early in the AI product lifecycle.

Understand the critical technical and soft skills necessary to excel. Technical skills include understanding various AI threats, security risks in AI models and LLMs, and specific attacks like OWASP Top 10 LLM attacks, adversarial attacks, data poisoning, and prompt injection. Expertise in securing applied AI areas like NLP and computer vision is also vital.

Security professionals often use frameworks like MITRE ATLAS to map risks. Alongside technical prowess, critical thinking and collaboration with diverse teams are essential soft skills.
We also explore pathways into AI security. While academic degrees in Computer Science or Cybersecurity provide a strong foundation, AI Security Specializations and certifications are increasingly important. The Certified AI Security Professional or CAISP certification is highlighted as an industry standard, validating practical skills in securing AI systems. Gaining practical experience through projects or hands-on labs is crucial for mastering detection and defence techniques.
Finally, hear about the high demand and attractive career prospects in this field, with the average salary for an AI Security Engineer in the US reported at approximately $152,773 per year as of April 2025.
Tune in to learn about the AI Security Engineer roadmap, the skills employers seek, and how you can secure your future in this vital and growing field. Help maintain the integrity of the AI technology that is shaping our world.