TLDR: SOCRadar has launched its Agentic Threat Intelligence platform, an AI-driven solution that deploys autonomous AI agents to proactively detect, analyze, and respond to cyber threats with minimal human intervention. Unveiled at Black Hat 2025, this platform aims to transform threat intelligence from a passive data collection into an active, self-directed defense system, significantly reducing response times and enhancing accuracy against evolving cyber risks.
SOCRadar, a global leader in extended threat intelligence and cybersecurity solutions, has unveiled its groundbreaking Agentic Threat Intelligence platform, marking a significant leap forward in automated threat detection and response. Launched at Black Hat 2025, this innovative platform leverages autonomous AI agents to proactively identify, assess, and neutralize external cyber threats with unprecedented speed and precision, requiring minimal human oversight.
Traditional threat intelligence systems often provide raw data that security teams must interpret and act upon. SOCRadar’s new agentic model fundamentally shifts this paradigm, operating more like an intelligent, self-regulating system. As Huzeyfe Onal, CEO of SOCRadar, stated, “Everyone’s talking about AI today — but the real difference will be made by those who actually use it. At SOCRadar, we don’t just talk about AI; we’re putting it to work. With the launch of our new agentic AI capabilities, including our new Agentic Threat Intelligence platform, we’re empowering security teams to act faster, think smarter, and stay ahead of threats in real time. This isn’t hype — it’s a leap forward in operationalizing intelligence at machine speed.”
The platform’s core architecture features a modular orchestration layer that assigns specialized AI agents to distinct roles, including reconnaissance, enrichment, correlation, and response. These agents continuously gather external signals, correlate them with internal telemetry, and, when confidence thresholds are met, propose or even execute mitigation steps. This design is engineered to drastically reduce Mean Time To Detect (MTTD) and Mean Time To Respond (MTTR) by automating routine enrichment and containment tasks.
Key advantages of the SOCRadar Agentic Threat Intelligence platform include its ability to deliver proactive, AI-driven insights that empower security teams to rapidly detect, prioritize, and respond to emerging risks. It offers diverse AI agents tailored for specific threat categories such as phishing, brand abuse, credential leaks, and IP exposure. Organizations can deploy only the agents they need, ensuring a cost-efficient and targeted defense strategy. The system also supports custom-built agents to address unique threat landscapes and integrates seamlessly with existing security workflows, reducing manual involvement and scaling protection dynamically.
As part of the launch, SOCRadar introduced its first agentic workflow, ‘Impersonating Domain Detection,’ available to users of its Extended Threat Intelligence product. This workflow enhances accuracy by using a combination of specialized agents to analyze both textual and visual elements, effectively detecting sophisticated impersonation attempts. It also reduces false positives by allowing customers to fine-tune agent parameters and intervene at each step.
Also Read:
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SOCRadar, with over 800 customers in 75 countries, continues to lead in agentic threat intelligence innovation. The company has also developed six specialized training programs focused on AI and Security, having already delivered AI for Cybersecurity Training to over 2,000 professionals and preparing to host workshops across 25 countries to further advance global security expertise.
