CYBRET AI is an emerging Nordic cybersecurity company with a clear ambition: to rethink how organisations detect and respond to modern cyber threats. Instead of relying on human driven security operations that struggle to keep up with the speed and complexity of today’s attacks, CYBRET AI is building autonomous systems that can understand, reason about and respond to real world cyber activity at machine speed.
The company operates as an autonomous security research and development laboratory. Its work sits at the intersection of artificial intelligence, threat research and security operations, with the goal of redefining managed detection and response for the AI era.
Why cyber defence needs a new approach
Cyber attacks have changed dramatically over the past decade. Modern attackers move quickly, exploit complex cloud environments and often use automation and AI to scale their operations. Traditional security tools tend to generate large volumes of alerts that still require human analysts to investigate and respond.
Security operations centres are under constant pressure. Skilled analysts are hard to hire, burnout is common, and response times can lag behind fast moving threats. CYBRET AI was founded to address this gap by designing systems that can reason about attacks in context and act without waiting for human intervention.
Rather than replacing security teams, the company’s vision is to build autonomous intelligence that works alongside people, handling the heavy lifting of detection, investigation and initial response.
What CYBRET AI is building
At the core of CYBRET AI’s platform is an intelligence layer designed to understand how real attackers behave across modern digital environments. This layer connects signals from identities, cloud assets, endpoints, networks and applications into a unified security knowledge graph.
By reasoning across this graph in real time, CYBRET AI’s systems can identify malicious behaviour patterns that would be difficult to spot with rule based tools or isolated alerts.
Core elements of the platform
- Real time security knowledge graphs that connect identities, assets and threat signals
- Context aware detection that focuses on attacker behaviour rather than static indicators
- Generative AI and large language models to support reasoning and decision making
- Automated data labelling to reduce manual security operations work
This approach allows the system to understand not just what is happening, but why it is happening, and what action is most appropriate.
Learning from AI driven attackers
A key part of CYBRET AI’s research focuses on studying how attackers themselves are using automation and AI. Threat actors increasingly rely on scripted attacks, credential abuse, living off the land techniques and AI assisted reconnaissance.
By modelling these behaviours, CYBRET AI designs defensive systems that anticipate attack paths rather than reacting after damage has been done. The goal is early detection and rapid containment before an incident escalates.
This attacker first mindset influences both the company’s research and its product development, ensuring the technology stays relevant as threats evolve.
Backing and funding
CYBRET AI has attracted early backing from a group of well known Nordic and international investors who specialise in deep technology and early stage innovation.
The company is backed by:
- Skyfall Ventures
- Wave Ventures
- A16Z Scout programme
This investor group brings experience in scaling technology companies as well as access to global networks in cybersecurity and artificial intelligence. While the company has not publicly disclosed detailed funding figures, the backing signals strong confidence in its technical direction and long term potential.
Leadership and team
CYBRET AI is led by its founder and Chief Executive Officer, Adrian De Gendt, who established the company with the aim of building autonomous security systems that can reason about cyber threats at machine speed.
De Gendt has a background in applied security research and engineering, with a career focused on understanding attacker behaviour and translating that knowledge into defensive systems. His work centres on how modern threats operate across identities, infrastructure and data, an approach that underpins CYBRET AI’s intelligence-driven security model.
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Public information on Adrian De Gendt’s formal education has not been widely disclosed, though his professional profile reflects deep technical expertise in cybersecurity, AI-driven security operations and autonomous systems. He is also an active voice in discussions around the future of managed detection and response and the limits of human-led SOC operations.
As a private founder of an early-stage company, Adrian De Gendt’s net worth has not been made public. Like many startup founders at this stage, his financial position is closely tied to the long-term growth of CYBRET AI rather than short-term personal wealth.
Under his leadership, CYBRET AI has attracted backing from respected Nordic investors and the a16z Scout programme, while building a distributed team across Finland, Sweden and Norway focused on redefining how cyber defence is designed and operated.
CYBRET AI was founded by a team with backgrounds in cybersecurity research, engineering and advanced AI systems. The founders set out to build a company that operates more like a research lab than a traditional security vendor.
Their focus is on long term capability building rather than short term feature delivery. This is reflected in the emphasis on autonomous reasoning, intelligence graphs and attacker modelling.
The leadership team believes that future cyber defence will rely less on dashboards and alerts, and more on systems that can make informed decisions on behalf of security teams.
Where CYBRET AI is based
CYBRET AI operates with a hybrid model across Northern Europe. The company has a presence in:
- Helsinki
- Stockholm
- Kristiansand
This regional footprint allows the team to tap into strong Nordic talent pools in security research, software engineering and artificial intelligence, while operating with a flexible remote first culture.
How CYBRET AI fits into the wider security market
The cybersecurity market is crowded, with many tools focused on narrow problems such as endpoint protection, network monitoring or cloud security posture management. CYBRET AI is positioning itself at a different layer.
Rather than competing directly with individual tools, the company aims to provide an intelligence and reasoning layer that sits above existing security data sources. This makes it relevant to organisations looking to modernise their security operations without ripping out their current stack.
Its work also aligns with growing interest in autonomous security operations, as enterprises look for ways to reduce response times and operational costs.
What comes next
CYBRET AI is still in an early stage, but its direction reflects broader shifts in how cyber defence is evolving. As attacks become faster and more automated, defensive systems will need to keep pace.
In the near term, the company is expected to continue expanding its research capabilities, refining its intelligence layer and working closely with early partners. Over time, its technology could form the foundation of next generation managed detection and response services that rely far less on manual intervention.