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SOCRadar Unveils Agentic Threat Intelligence at Black Hat 2025: A New Era of Autonomous Cyber Defense

August 6, 2025 By admin Leave a Comment

SOCRadar has redefined the pace and intelligence of modern cybersecurity with the launch of its new Agentic Threat Intelligence platform, announced today at Black Hat 2025. More than just an upgrade to conventional threat intelligence solutions, this platform represents a radical evolution: the introduction of autonomous AI agents capable of detecting, contextualizing, and responding to cyber threats without waiting on human hands. In a world where milliseconds can mean the difference between a breach and safety, this development is both timely and transformative.

The existing model of threat intelligence — often described as reactive or passive — leaves organizations with a flood of raw data and the burden of decision-making. It’s akin to receiving a weather warning and having to figure out whether to close your windows or evacuate the building. SOCRadar’s new agentic platform changes the paradigm. Imagine a system that not only forecasts the storm but also checks if your roof is sealed, reroutes your power, and waters your plants while you sleep. This is the ethos behind SOCRadar’s intelligent agents: a proactive, modular, and self-adaptive security ecosystem that can think and act with machine-speed precision. By treating threat intelligence as a living, breathing process rather than a static feed, SOCRadar shifts the burden from human analysts to autonomous systems that learn, respond, and scale in real time.

At the heart of this platform lies an arsenal of specialized agents, each trained for a specific category of threat — from phishing campaigns to IP exposure and credential leaks. Organizations no longer need to deploy a one-size-fits-all solution; they can build a customized defense by selecting only the agents relevant to their unique environment. This modular approach is not only cost-effective but also dramatically enhances agility and accuracy. Each agent is configurable, allowing organizations to fine-tune their threat response based on internal risk tolerances, business priorities, and attack surface. Moreover, SOCRadar is launching the industry’s first cybersecurity AI marketplace, a dashboard-integrated hub where customers can browse, purchase, and deploy agents with a few clicks — a streamlined experience that mirrors app store simplicity, but with enterprise-grade security in mind.

The platform’s first agentic workflow, Impersonating Domain Detection, exemplifies its effectiveness. False positives — the bane of many security teams — are drastically reduced by allowing granular control at each stage of the workflow. From customizable triggers to transparent intervention points, the system adapts dynamically to evolving threats, including deepfake domains and lookalike branding scams. The visual and textual scrutiny performed by the agents is not only swift but also nuanced, identifying threats that would slip past traditional detection tools. The result is enhanced accuracy, fewer distractions for analysts, and a higher level of tailored protection for each organization.

SOCRadar isn’t stopping at software. Its commitment to education and community-building in AI-driven cybersecurity is evident in its recent deployment of the MCP Server — a first in the threat intelligence space — as well as its global outreach. With over 2,000 professionals trained and AI for Cybersecurity Workshops planned in 25 countries, the company is building not just tools but a movement. CEO Huzeyfe Onal’s message at Black Hat was direct and resonant: “Everyone’s talking about AI today — but the real difference will be made by those who actually use it.” That ethos is already bearing fruit in the form of a platform that thinks for itself, acts ahead of threats, and ushers in a new standard for proactive defense in a landscape where passive security simply isn’t enough.

SOCRadar’s Agentic Threat Intelligence isn’t just a step forward; it’s a shift in the very logic of cybersecurity — from human-reliant reaction to autonomous anticipation. With this launch, the company has not only joined the AI security race — it’s helping define its course.

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