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CYBRET AI

Autonomous AI-powered security knowledge graphs

Senior Researcher

Full-TimeUpdated on 10/15/2026
No salary listed
Senior
Master's, PhD
Remote in Norway+1 moreMore locations: Oslo, Norway
Remote
AI & Machine LearningAI Research

About the job

Requirements
  • Proven research background in artificial intelligence, machine learning, or related fields, with a strong publication record or demonstrable research impact.
  • Proficiency in research-level programming with languages such as Python, C++, or Java.
  • Familiarity with artificial intelligence and machine learning frameworks such as TensorFlow or PyTorch.
  • Deep understanding of cybersecurity concepts, including threat modeling, detection, and prevention methodologies.
  • Experience designing or implementing security systems and algorithms.
  • PhD or Master’s degree in Computer Science, Artificial Intelligence, Cybersecurity, or a related field.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to collaborate in a dynamic, innovative startup environment.
Responsibilities
  • Conceptualize, lead, and execute advanced research initiatives in artificial intelligence-driven security.
  • Formulate novel research questions and design experiments.
  • Develop and validate artificial intelligence algorithms for security applications.
  • Collaborate across disciplines and advance the state of the art in autonomous security systems.
  • Contribute to the technical vision, publish in top conferences and journals, and help shape the research culture.
Desired Qualifications
  • Knowledge of cloud computing and scalable distributed architectures.
  • Experience mentoring or leading research teams.
  • STEM Olympiad credentials or notable research competition achievements.
  • Demonstrated top achievements in relevant domains.

About the company

CYBRET AI builds autonomous, AI-native cybersecurity systems designed to prevent breaches by turning cybersecurity into an autonomous intelligence function. It uses real-time security knowledge graphs that unify identities, assets, logs, and threat signals to enable contextual threat detection, attack-path reconstruction, and machine-driven responses. It is developing an autonomous MDR platform that connects with 90+ security tools to detect and respond in seconds, along with automated data-labeling pipelines and research on AI-driven attackers. Its goal is to replace fragmented security tools with a scalable, self-operating system that protects enterprises and critical infrastructure.

Company Size

1-10

Company Stage

N/A

Total Funding

N/A

Headquarters

Lysekil, Sweden

Founded

2025

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Simplify's Take

What believers are saying

  • September 2026 site says early-access program targets security and platform teams.
  • December 2025 backing from Skyfall Ventures, Visionaries Club, Wave Ventures, and FR8 reduces funding risk.
  • October 1, 2026 founder updates emphasize autonomous vulnerability validation, keeping CYBRET visible.

What critics are saying

  • September 2026 early access still signals no broad customer traction or proven revenue.
  • Under 25 people cannot support enterprise deployments, integrations, and 24/7 incident response.
  • Palo Alto Networks, Wiz, and CrowdStrike can bundle graph-based testing into existing platforms.

What makes CYBRET AI unique

  • December 2025 launch: CYBRET AI pairs app-security research with autonomous pentesting.
  • September 2026 product: one graph unifies exposure intelligence, validation, and runtime detection.
  • Mikael Sundqvist, Selin Kaya, and Adrian De Gendt combine graph engineering and exploit-path research.

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Benefits

Health Insurance

Remote Work Options

Phone/Internet Stipend

Professional Development Budget

Stock Options

Company Equity