Group-IB
Prevyn AI

Most AI security tools reason over public threat feeds, open-source data, or general internet content. Prevyn AI reasons over Group-IB's Intelligence Data Lake — a proprietary dataset built from 20+ years of active cybercrime investigations, frontline incident response, undercover dark web operations, law enforcement partnerships, and sensor networks. This data cannot be accessed by any external AI model. The depth and exclusivity of the underlying intelligence is what differentiates Prevyn AI's analysis from tools built on publicly available data.

An AI SOC agent is an AI system that assists or automates tasks within a security operations centre — such as triaging alerts, correlating events, generating incident reports, and recommending response actions. Prevyn AI fits this category through its deployment in Managed XDR, where it works alongside human analysts to accelerate investigation and remediation. Unlike fully autonomous agents, Prevyn AI operates with analyst-in-the-loop governance: every recommended action requires explicit human approval before execution.

Agentic AI refers to AI systems that can autonomously plan and execute multi-step tasks — rather than simply responding to a single prompt. In cybersecurity, agentic AI can conduct complex investigations, correlate data across multiple sources, adapt its approach based on intermediate findings, and produce structured outputs without continuous human guidance. Prevyn AI's multi-agent research system in Threat Intelligence is an example: it orchestrates 11 specialist agents that work in parallel and sequence to complete investigations that would previously require hours of analyst time.

In Threat Intelligence, Prevyn AI operates as a multi-agent research system. An analyst submits a research goal — for example, investigating a threat actor, a malware family, or an emerging campaign — and Prevyn AI orchestrates 11 specialist agents across domains including malware analysis, vulnerability intelligence, dark web monitoring, credential breaches, infrastructure detection, and more. Agents adapt their approach based on what they find, and deliver a structured, analyst-ready report. Research that previously took hours now completes in under 5 minutes.

In Managed XDR, Prevyn AI acts as an AI assistant embedded in the analyst workflow. When a high-severity alert is raised, Prevyn AI automatically surfaces relevant threat intelligence context, generates a structured incident report from existing alert data, and prepares a recommended remediation workflow — all before the analyst begins their investigation. Every suggested action requires human approval. This reduces the time from alert to action and ensures analysts are working from richer context from the start.

The Intelligence Data Lake is one of the most comprehensive proprietary cybercrime datasets in the industry. It includes open-source intelligence from paste sites, code repositories, and social media; malware intelligence from detonation platforms and configuration file extraction; data intelligence from C&C server monitoring, dark web forums, card shops, and instant messengers; human intelligence gathered by undercover dark web agents and malware reverse engineers; sensor intelligence from ISP-level telemetry, honeypots, and web crawlers; vulnerability intelligence including CVE data and dark web exploit discussions; endpoint, network, fraud, brand, marketplace, and services intelligence; and data derived from joint operations with Interpol, Europol, and global CERT communities. This breadth of proprietary data is what makes Prevyn AI's analysis unique.

Yes. Prevyn AI is designed with governance as an architectural principle, not a configurable option. The system defaults to human-in-the-loop operation — no action is executed without explicit analyst approval. This oversight model aligns with emerging regulatory expectations around responsible AI deployment in cybersecurity, including frameworks relevant to financial services, critical infrastructure, and other regulated environments. Organisations can define the boundaries of what Prevyn AI can do independently, ensuring control remains with the security team.

No — and it is not designed to. Prevyn AI is built to augment analysts, not replace them. It handles the time-consuming, data-intensive parts of investigation and operations — correlating intelligence, generating reports, preparing recommended actions — so that analysts can focus on judgment, decision-making, and oversight. Human approval is required for all actions. The goal is to give every analyst access to the same depth of reasoning and intelligence that previously required significant experience and time to produce manually.

The primary difference is the underlying intelligence. Microsoft Copilot for Security and similar tools reason over Microsoft's telemetry, public threat feeds, and general data. Prevyn AI reasons over Group-IB's Intelligence Data Lake — a proprietary dataset built from 20+ years of active investigations, dark web intelligence, HUMINT operations, law enforcement partnerships, and global sensor networks. This data is not available to any external AI. For organisations that need intelligence depth beyond what public-facing tools can provide — particularly around cybercrime, fraud, and underground activity — Prevyn AI operates from a fundamentally different foundation.

The Intelligence Data Lake is Group-IB's proprietary repository of cybercrime and fraud intelligence, accumulated over more than 20 years of active investigations, incident response, and law enforcement operations. It contains intelligence types that cannot be found in public sources — including data from undercover dark web operations, malware reverse engineering, compromised credential monitoring, botnet telemetry, and joint Interpol and Europol operations. For AI, the quality and exclusivity of training and reasoning data is everything. Prevyn AI's analysis is only as differentiated as the intelligence it reasons over — and the Intelligence Data Lake is the foundation that no external vendor can replicate.

In Threat Intelligence, Prevyn AI completes multi-step research investigations in under 5 minutes — tasks that previously required a skilled analyst several hours to complete manually. In addition to speed, Group-IB has measured a greater than 20% improvement in investigation quality compared to the previous AI assistant, meaning analysts receive both faster and more comprehensive outputs.

Prevyn AI is built toward a long-term vision of predictive security — moving from detection and response to anticipating threats before they materialise. The current focus is on deepening autonomous research capabilities in Threat Intelligence and expanding AI-assisted operations in Managed XDR. The strategic direction includes extending reasoning across both cyber and fraud intelligence domains, and evolving toward controlled autonomous response within analyst-defined boundaries. Specific capabilities will be announced as they ship.

Yes. Prevyn AI is embedded within Group-IB's Unified Risk Platform — it does not require organisations to rearchitect their security stack. In Threat Intelligence, it works within existing analyst research workflows. In Managed XDR, it integrates into the alert investigation and response process. The design principle is that Prevyn AI should reduce friction for security teams, not add integration complexity.

Prevyn AI is available as part of Group-IB's Threat Intelligence and Managed XDR products within the Unified Risk Platform. To see it in action, request a demo through the form on this page and a Group-IB specialist will walk you through the capabilities relevant to your environment and use case.