Autonomous AI purpose-built to understand adversary behavior, extracting and mapping Tactics, Techniques, and Procedures (TTPs), and aligning with the ATT&CK framework with unmatched precision and evidence-backed accuracy.
Intel sources
Raw text
Blogs
Incident reports
Tactics
Techniques
Procedures
Actionable Intel
Built for defenders who demand accuracy and speed, RayvenAI delivers structured, traceable ATT&CK-aligned intelligence from any source.
RayvenAI ingests and standardizes data from PDFs, DOCX, URLs, and raw text, maintaining original references for seamless AI analysis.
RayvenAI identifies, extracts and maps adversary tactics, techniques, and procedures (TTPs) with analytical precision, aligning seamlessly with the ATT&CK framework.
In cybersecurity and threat intelligence, precision isn't optional—it's the difference between signal and noise.
RayvenAI reconstructs adversary playbooks from source evidence so teams can tune detection, run realistic red-team scenarios, and stop attacks at each stage.
Manual ATT&CK alignment is slow, repetitive, and mistake-prone. RayvenAI automates the process, cutting hours of tedious work down to minutes and freeing defenders to focus on applying extracted intelligence to their defensive workflows and strategies.
RayvenAI transforms intelligence into action, empowering organizations to build defenses that mirror real adversary behavior and adapt as threats evolve.
After years tracking some of the world’s most sophisticated threat actors, Vicky Ray recognized a persistent gap between how adversaries operate and how defenders prepare.
He founded RayvenX to close that gap, turning his frontline insight into autonomous AI that understands adversary behavior with precision and translates it into defensive capabilities. That translation powers proactive, threat-informed defense for cyber teams worldwide.
Formerly part of Palo Alto Networks’ renowned Unit 42, Vicky led research and investigations, advised enterprises and law-enforcement agencies, and helped shape modern threat-intelligence practices.
Turning two decades of adversary research into intelligence that thinks for itself.