Strix
Accelerate, force-multiply, and align your vulnerability research teams with our automated binary analysis framework. The Strix binary analysis framework ingests, analyses, and reports on software reverse engineering and vulnerability research activities – through applying machine learning, pattern matching, and proprietary techniques to identify vulnerabilities and characterise targets. Integrate existing workflows, build new tooling, or receive focused reports with LLM-enhanced context highlighting where further investigation would deliver maximum impact.
Upload firmware and binaries to receive low-volume, high-impact vulnerability reports or build the STRIX framework into your existing workflows and tooling through our SDK. Strix applies proprietary Vulnerability Research techniques, developed and tuned over years of our own teams working on Vulnerability Research projects – including modern machine learning methods to pinpoint and triage areas for further investigation.
Deeper, Faster, More Precise Binary Analysis
The threat landscape is ever growing, and with this, the need for security researcher to adapt, keep up to date, and constantly work on an ever-growing backlog needs to be addressed. Traditional binary analysis methods demand rare expertise and extensive time to investigate, characterise, and analyse new targets. This is where STRIX comes in.
Through our Web UI, API, or through integration with your existing tools and workflows – upload firmware or native binaries into Strix and receive structured vulnerability assessments, characterisation feedback, and direct tool integrations that replicate expert-led analysis through open-source, proprietary, and machine learning tooling. Utilise the STRIX LLM agent to query targets, summarise results, and inform next steps. This enables specialists to focus on tackling real threats and performing in-depth investigations beyond preliminary screening.
How Strix benefits you
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Automated characterisation and vulnerability research
Reduce months of manual triaging to hours through automated reverse engineering and vulnerability research workflows.
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Human-in-the-loop by design
Augment existing vulnerability research expertise while allowing intervention and refinement where necessary.
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Mission-ready intelligence
Generate clear, actionable vulnerability assessments for better decision-making.
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Workflow integration
Embed Strix within current security frameworks through the STRIX API and SDK.
Flexible Deployment
Deploy across local infrastructure and cloud environments with speed and assurance. Analyse third-party software before deployment, uncover embedded code vulnerabilities, and validate digital supply chain security. Whether in R&D, live operations, or long-term planning, Strix brings clarity, speed and technical depth to vulnerability discovery.
Strix FAQs
Strix utilises Roke’s subject matter expertise in machine learning to provide a hybrid of vulnerability research tooling empowered by machine learning and artificial intelligence.
Native binary and firmware formats from embedded systems, Linux, Windows (written in C/C++).
Yes. Either through our API or software development kit.
Depending on the modules and size of target being run, STRIX analysis can take minutes to hours to perform a binary analysis.
Local infrastructure and cloud environments, depending on security requirements.
Security Researchers in Commercial, defence, intelligence, law enforcement and national security teams managing software risks across critical systems.
Strix is designed for specialists and non-specialists. It generates actionable outputs with expert intervention capability.
Strix can aid researchers in zero-day discovery by highlighting sources and sinks, suspicious patterns, and actionable areas for review.
Sectors Using Strix
Need Clarity, Pace or a Fresh Perspective?
If you’re facing a challenge that needs clarity, speed or a different kind of thinking – let’s talk. We’ll connect you with the right people to get things moving.