Our team
Our projects
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We’ve built many widely used network traffic datasets in cybersecurity. From real malware captures to large-scale traffic collections, our datasets help researchers, students, and practitioners around the world. LEARN MORE.
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Dozens of students have written their theses with us, tackling real problems in network security and machine learning. These projects are more than academic work: they become real contributions to the community. LEARN MORE.
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Our projects range from intrusion detection systems to honeypots and AI-driven tools. What ties them together is our mission: using research and technology to help society defend against digital threats. EXPLORE OUR PROJECTS.
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Our free, open-source machine-learning intrusion prevention system. Built in Stratosphere Lab, Slips drives the innovation in free software IDS technologies with advanced and resilient threat intelligence sharing and threat detection. CHECK OUT SLIPS.
Our latest blogs
The T Cell module was created to give Slips a stateful adaptive response layer on top of its existing evidence pipeline. While the original detectors already provide the innate immune component through PAMP and DAMP evidence, the T Cell module adds antigen recognition, co-stimulation, context evaluation, tolerance, activation, effector action, and memory. It does this by extracting structured antigens from live evidence, matching them against the accepted regex repertoire generated by RegexGenerator, and then combining that recognition with the cumulative danger signaled by recent PAMP and DAMP observations. This allows Slips to move from isolated detections to a more explicit immune decision process that can decide when to ignore, when to contain, and when to remember.