YGGDRASIL - Automated early vulnerability detection and cyber-threats based OSINT
The increase in the number and types of cyber-attacks in recent years appears as a result of vulnerabilities generated by an acceleration in the process of digital transformation. More pressure is put on Dev and DevOps teams for faster product launches and go-to-market, resulting in more security overlooks.
OSINT based Threat Intelligence
Yggdrasil in Norse mythology is an immense mystical tree that connects the nine worlds; so is our initiative connecting vulnerability data from OSINT with classic threat intel.
Our goal with this endeavor is to build an automatic system for early detection of cyber vulnerabilities and threats, based on open-source threat intel data OSINT and any other public or private data source.
The innovative nature of this project is given by the real-time use of social media data and other relevant online sources open for identifying public references that mention new types of cyber threats or types of zero-day attacks, where reaction time is vital for limiting possible damage to end-users and customer organizations.
Reduced Mean Time
to Patch
Yggdrasil aims to improve cybersecurity services at a global scale by reducing the MTTP (mean time to patch), thus reducing the chance of hackers exploiting emerging vulnerabilities. We are making use of ML (machine learning) and NLP (natural language processing) to research and develop an automatic system for the early detection of vulnerabilities and cyber-attacks based on open source data (OSINT) resulting in MRTI (machine-readable threat intelligence) that will be consumed by Cortex (CODA Intelligence’s Central Risk Intelligence Collective Data Services) or other 3rd party systems.
Its integration into CODA Footprint as well as other systems in our partners’ environments (SIEM, SOAR, etc.) will increase detection and reaction capabilities regarding emerging cyber threats and moreover enable effective and efficient risk prioritization, remediation, and incident response.
The development of the software prototype (TRL4) is partly funded by EU Grant: PNIII: Program 2: Increase Romanian Economic Competitivity through research, development and innovation, Subprogram 2.1: Competitivity through research, development, and innovation.
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