Precision Adversary Behavioral Intelligence
Powering modern Threat-Informed Defense workflows
Intel sources
Raw text
Blogs
Incident reports
Tactics
Techniques
Procedures
Actionable Intel
Built for defenders who demand accuracy and speed, RayvenAI delivers structured, traceable adversary behavioral intelligence from any source, powering proactive, threat-informed defense.
RayvenAI is an autonomous AI engine purpose-built to understand adversary behavior - extracting and mapping precise Tactics, Techniques, and Procedures (TTPs) from structured and unstructured intelligence and aligning them to the ATT&CK framework with evidence-backed accuracy and full traceability.
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.
Dan Sarel is a seasoned cybersecurity product leader and founder with close to three decades of experience building and scaling category-defining security platforms. He is the Co-founder and Chief Product Officer at Descope, driving innovation in modern authentication and customer identity workflows. Before Descope, Dan co-founded Demisto, serving as VP of Product and helping create the SOAR category, leading to its acquisition by Palo Alto Networks.
Chi-en "Ashley" Shen is a Security Research Engineering Technical Leader at Cisco Talos, specializing in emerging threats spanning nation-state intrusions, financially motivated crime, and spyware campaigns. Prior to Cisco, she worked in Google’s Threat Analysis Group, where she hunted zero-day exploits and tracked botnets. She previously served on Mandiant’s Global Research Team, co-authoring the APT41 report and publishing research on ICEFOG campaigns. In Taiwan, Ashley co-founded Team T5 and worked as a senior threat analyst focused on targeted attacks across the APAC region. A passionate advocate for women in cybersecurity, she co-founded HITCON GIRLS: the first security community for women in Taiwan; and currently organizes Rhacklette, a security community for FINTA in Switzerland. She has presented her research at conferences including Black Hat, Labscon, Pivotcon, HITCON, FIRST, and CODE BLUE. In her spare time she supports the community by delivering training sessions and serving on review boards for Black Hat USA & Asia, HITCON, SOS, and BlueHatIL.