About AISec Engineer

AISec Engineer is a career intelligence platform built for security professionals who specialize in protecting AI and machine learning systems. We track salary data across 12 major companies, publish detailed company profiles and interview guides, maintain a skills roadmap covering ML fundamentals through red teaming, and monitor hiring trends in the AI security space.

Why We Built This

AI Security Engineering is one of the most important and least understood roles in tech. It sits at the intersection of cybersecurity and machine learning, two fields that each have their own deep talent pools but very little overlap. The people who understand both ML model internals and how to defend systems against adversarial attacks are extremely rare, and the demand for them is growing faster than any training pipeline can produce.

Despite this, no dedicated career resource existed for AI Security Engineers. If you wanted salary data, you had to piece it together from general security and ML engineering surveys that do not capture the AI security specialty. If you wanted company profiles, you had to research each company individually. If you wanted career guidance, you were on your own.

AISec Engineer fills that gap. We consolidate the data, analysis, and career intelligence that AI security professionals need into a single platform. Every page on this site is designed to help you make better career decisions, whether you are entering the field, evaluating a new role, or negotiating compensation.

What We Cover

Salary Data: Company-by-company compensation data for AI security roles, broken down by seniority level and geography. We track 12 companies across frontier AI labs, cybersecurity vendors, and AI security startups. See our salary guide.

Company Profiles: Detailed profiles for every major company hiring AI Security Engineers. Each profile covers the security team's focus, compensation details, interview process, technical requirements, and reasons to join. See our company directory.

Career Guides: In-depth guides on entering and advancing in AI security: role explainers, career transition paths, certification recommendations, and technical skill development. See our guide collection.

Skills Roadmap: A prioritized roadmap of the six core skill areas for AI Security Engineers, from security fundamentals through adversarial ML and red teaming. See our skills roadmap.

Curated Resources: The tools, courses, communities, and reference materials that matter for AI security professionals. Every resource is selected for practical value. See our resource directory.

Our Approach

We follow a few principles that guide everything we publish.

Data over opinions. Salary figures come from Glassdoor, job postings, and community-reported data. When we cite a number, we cite the source. When we do not have data, we say so rather than guessing.

Practical over theoretical. Career guides focus on what you actually need to do: which skills to build, which certifications to get, which companies to target. We avoid abstract advice that sounds good but does not help you make decisions.

Honest assessment over hype. AI security is a real and growing field, but we are not going to inflate the numbers or promise that every security engineer can transition in 30 days. We present the market as it is, including the challenges and the uncertainty.

Independent. AISec Engineer is not affiliated with any recruiting firm, staffing agency, AI company, or cybersecurity vendor. We do not accept payment to feature companies or inflate salary ranges. Our only incentive is to be the most useful career resource for AI security professionals.

The Market We Serve

The AI-in-cybersecurity market reached approximately $30.9 billion in 2025 and is growing at 22% to 24% annually. The EU AI Act takes effect for high-risk systems in August 2026. Industry surveys show 41% of security teams cite AI/ML as their top skill need for 2026. These are not projections or aspirational numbers. They reflect a structural shift in how security teams are built and staffed.

The supply of qualified AI Security Engineers is dramatically below the demand. Very few professionals have deep expertise in both cybersecurity and machine learning. University programs are only beginning to offer coursework at this intersection. Bootcamps do not cover it. The professionals who currently fill these roles mostly built their expertise through self-directed learning, internal transfers, and practical experience.

This supply-demand imbalance is why average compensation is $184,264 per year (Glassdoor, March 2026), with top performers at frontier AI labs exceeding $284,000. It is also why the career opportunity is significant for security professionals and ML engineers willing to invest in building the complementary skills.

The AISec Brief

The AISec Brief is our weekly newsletter. It covers salary trends, new job postings, threat landscape developments, certification updates, and career advice. It is free and always will be. Subscribe here.

Each issue focuses on actionable intelligence: which companies posted new AI security roles, how compensation is trending, what threats emerged in the past week, and which skills are appearing most frequently in job requirements. We keep it concise because you have security incidents to respond to and models to defend.

Contact

Have salary data to share? Company information to correct? Want to suggest a topic for a career guide? Email us at [email protected]. We read every message and respond to corrections within 48 hours.