CyberFame.io

CyberFame.io

Computer- und Netzwerksicherheit

Fast, scalable, AI-automated cybersecurity for software supply chains

Info

Find and Fix your top 1% Software Supply Chain Security Risk. Scale up your defences, automate and prioritise your cybersecurity efforts, and save up to 10x. A single supply chain can mean hundreds of repositories, and tens of thousands of dependencies. That’s infinite vulnerabilities for attackers to get in. We’ve designed a full 360° visual overview for the code you’re using, letting you zoom in on dependencies across repositories and assess risks instantly. Our AI triages fixes and best practices, guiding your security team through replacing dangerous packages, mitigating vulnerabilities and preventing supply chain attacks. 𝗢𝗻𝗲 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝘃𝗲 𝘃𝗶𝘀𝗶𝗼𝗻 We’ve been building internet-scale security reconnaissance and supply chain security analysis since 2022, helping maintainers, managers, security experts, developers and decision-makers understand what tomorrow’s cybersecurity should look like. We want to make it easier to stay compliant with global standards like the European Cyber Resilience Act (CRA) and EO14028. Everything in our platform’s been developed so your team can graph data, build software bills of materials (SBOMs), design policy, allocate resources and guard against the most dangerous vulnerabilities, especially in the open source supply chain. 𝗙𝗼𝗿𝘄𝗮𝗿𝗱-𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗲𝗰𝗼𝗻𝗼𝗺𝗶𝗰𝘀 Software supply chain attacks are getting worse. Teams need every advantage to monitor complex supply chains, stay compliant and improve defences. Integrating security measures earlier in your process helps every developer make informed decisions when choosing dependencies. It helps build policies, and saves resources compared to how vulnerabilities are treated in production systems. 𝗕𝘂𝗶𝗹𝗱 𝗳𝗲𝗮𝗿𝗹𝗲𝘀𝘀𝗹𝘆 𝘄𝗶𝘁𝗵 𝘂𝘀 Curious to see how it works? Have a look at the developer docs: https://docs.cyberfame.io/features-and-documentation/introduction And then come join us.

Website
https://cyberfame.io/
Branche
Computer- und Netzwerksicherheit
Größe
51–200 Beschäftigte
Hauptsitz
Berlin
Art
Privatunternehmen
Spezialgebiete
Shift-Left Security, Machine Learning und Data Analysis

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