AI Security Graduate Program 

The AI Security Graduate Program offers a unique combination of deep expertise, hands-on application in real business environments, and access to Sweden’s rapidly growing AI ecosystem.
It creates a direct path for organisations to address their most critical AI security challenges, while building the long-term capability required for the future.

For participants, the program provides an accelerated entry into one of the most in-demand roles on the market, enabling them to contribute from day one. By working closely with both the partner organisation and AI Sweden’s experts, they develop the skills to assess risks, strengthen model robustness, and implement security principles in real AI systems.

The program is designed for organisations that:

implement or plan to implement AI
develop their own models or rely on third-party AI
need to strengthen internal AI capability
are affected by the AI Act, NIS2 or the Cyber Resilience Act
want to lead the way in secure and responsible AI development

AI Security Graduate Program is aimed at companies, government agencies and public-sector organisations that are developing or deploying AI solutions, and need talent with the expertise to manage the new and complex security challenges that follow.

It is relevant across all sectors — from industry, government and tech to finance, logistics, healthcare, energy and municipal operations.
Get in touch to explore how the AI Security Graduate Programme can support your specific challenges.

As a partner organisation, you gain access to a talent with a strong technical foundation who continues to develop throughout the program within:

AI security & AI safety
Adversarial machine learning
Model evaluation & robustness
Secure AI development
Data governance and AI Act, NIS2 och Cyber Resilience Act requirements
Risk management for AI systems

This means you don’t just add capacity — you build long-term AI capability inside your organisation.

The AI Act, NIS2 and the Cyber Resilience Act require organisations to demonstrate that their AI systems are secure, transparent, robust and traceable. The program develops talent who can:

Classify AI systems according to risk level
Ensure data quality, integrity and traceability
Document models and pipelines in line with regulatory demands
Implement security and safety by design
Conduct risk assessments and continuous monitoring
Integrate AI security into the organisation’s governance and processes

In short: the programme helps organisations stay compliant, competitive and future-ready.

Cybersecurity protects the infrastructure. AI security protects the intelligence.
Traditional cybersecurity focuses on preventing unauthorised access to networks, systems and data. AI security complements this by ensuring that AI models behave robustly, reliably and ethically — even when exposed to faulty training data, manipulation, bias or attacks that target the model itself.

Where cybersecurity stops external threats, AI security reduces the risks that arise when developing, implementing and operating AI systems.

Since 2014, we have supported more than 2,000 tech talents into new roles within AI, data, software development and cybersecurity, while helping our partners build sustainable, future-ready capability.

At Nexer Tech Talent, we work closely with candidates to understand their drivers, skills and ambitions. This gives us deep insight into what shapes the specialists of tomorrow and how organisations can unlock that potential. Through strong collaboration with academia and the wider Nexer Group — and with access to a unique network of emerging tech talent — we match candidates with the right abilities to organisations that want to stay ahead, both now and long-term.

Nexer Tech Talent manages the entire recruitment process and ensures that every candidate has the technical depth, analytical ability, interest in AI security, curiosity and communication skills required to contribute and share knowledge.

After 12 months, the goal is for the talent to transition into a permanent role within the partner organisation.

The talent works directly with your real AI security challenges. This can include:

– analyzing risks in existing AI models
– testing robustness and resistance to attacks
– developing secure AI workflows and pipelines
– identifying bias, data issues and vulnerabilities
– establishing documentation and governance for the AI Act
– supporting data scientists and developers in secure AI development


During the 12 months, their time is typically divided as follows:
2–4 days per week working hands-on with your projects inside the partner organisation
1–3 days per week at AI Sweden, receiving training, supervision, research access and working in advanced lab environments.

This creates a rare combination of academic insight, practical application and strategic capability.
The talent quickly becomes a valuable part of your team, helping you build secure, responsible and future-proof AI.

Applications are open. You’re welcome to submit your application here.

Candidates applying to the program typically come from backgrounds such as:

computer engineering
computer science
AI and machine learning
cybersecurity
software development
mathematics or engineering physics

The training covers both theory and hands-on practice, with modules in:

AI security and secure AI engineering
AI safety and responsible AI design
Adversarial attacks and defence methods
Model monitoring, evaluation and logging
AI governance, ethics and regulatory frameworks
The AI Act, NIS2 and international compliance
Documentation and risk management processes

All training is delivered by experts from AI Sweden, researchers and international partners.