Security by privacy_

We are committed to advancing cybersecurity through innovative research and cutting-edge technology, always prioritizing privacy-first security solutions that protect your systems and your digital life.

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Proactively protect privacy by analyzing web traffic to remove tracking and fingerprinting code from web resources — preserving full legitimate site functionality.

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Autonomously test your APIs with agentic, real‑world exploit paths to find and validate true vulnerabilities — delivering clear, reproducible results without noise.

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About Us

We are a team of computer science and information technology specialists from the Universitat Politècnica de Catalunya (UPC). Our academic foundation gives us deep technical expertise and a research-driven approach to solving complex cybersecurity challenges, always treating privacy as a fundamental principle rather than an afterthought.

We founded Ikusa Cybersecurity to bridge the gap between cutting-edge research and real-world impact. We build privacy-first security products that help organizations protect their networks and APIs with minimal data exposure—making advanced cybersecurity accessible, practical, and effective in an ever-evolving threat landscape.

Research

Advancing privacy and security through innovative research and development.

ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss

Ismael Castell-Uroz, Kensuke Fukuda and Pere Barlet-RosIEEE INFOCOM 2023 - IEEE Conference on Computer Communications

Recent advances in web technologies make it more difficult than ever to detect and block web tracking systems. In this work, we propose ASTrack, a novel approach to web tracking detection and removal. ASTrack uses an abstraction of the code structure based on Abstract Syntax Trees to selectively identify web tracking functionality shared across multiple web services. This new methodology allows us to detect tracking code even with evasion techniques and safely remove it without affecting legitimate functionality.

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TrackSign-labeled web tracking dataset

Ismael Castell-Uroz and Pere Barlet-RosComputer Networks ( Volume: 226, May 2023 )

Recent studies show that more than 95% of websites contain at least one web tracking system. Detecting these methods on today’s Internet is very difficult, as almost any website modifies its content dynamically and minimizes its code. This paper presents a new dataset with tracking information for more than 76 million URLs and 45 million resources from 1.5 million popular websites. The labeling process relies on TrackSign and includes security and relational information useful for multiple experiments.

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TrackSign: Guided Web Tracking Discovery

Ismael Castell-Uroz, Josep Solé-Pareta and Pere Barlet-RosIEEE INFOCOM 2021 - IEEE Conference on Computer Communications

Current web tracking practices pose a constant threat to users’ privacy. We present TrackSign, a novel approach that uses code fingerprinting to identify common pieces of code shared across multiple domains. TrackSign builds a 3‑mode network graph that captures relationships between fingerprints, resources and domains, enabling the detection of new tracking resources and URLs with high precision.

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Collaborators

Napptilus Tech Labs

Our principal technology partner, specializing in the design and development of custom software that turns complex challenges into elegant, dependable products. With a strong focus on AI and GenAI, they embed intelligent capabilities directly into applications to drive measurable impact. Their multidisciplinary teams collaborate with us end-to-end, from product discovery and architecture through iterative delivery, integration, and long-term evolution.

Contact

Email us at info@ikusa.tech or use the form below.

Barcelona

Ikusa Research & Development Center
Tech City, Pça. de Pau Vila, 1, office 2B
Ciutat Vella, 08039 Barcelona
Spain

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