AI/ML

How one company is using AI agents to help orgs prevent brand impersonation, phishing

(Adobe Stock)

For years, security leaders have warned that overextended cyber teams can’t keep up with the pace and sophistication of modern attacks. A recent survey of CISOs underscores the problem: Many admit they can only address a fraction of their known vulnerabilities, largely due to budget constraints and a shortage of skilled personnel.

This growing gap has left organizations vulnerable to phishing, domain spoofing, and social media impersonation — attacks that now increasingly leverage generative AI to mimic brands, executives, and employees with unsettling precision. Defending against those campaigns has become an around-the-clock challenge, one that traditional software and human analysts alone can’t manage at scale.

That’s the challenge cyn.ai set out to solve with the launch of its Brand Protection Synthetic Intelligence (SI) Agent, unveiled November 4. The system — part of the company’s new Agents Hub — autonomously detects and takes down malicious domains, phishing sites, and impersonation accounts in seconds, effectively serving as a tireless digital defender for corporate brands.

The agent runs on what cyn.ai calls “synthetic intelligence,” a step beyond conventional AI. Each agent learns from its environment, interacts in natural language, and can execute mitigation actions without waiting for a human to review alerts or push updates. “In early deployments, the Brand Protection Agent reduced false positives by more than 85% and executed verified takedowns in under 60 seconds,” said Gil Levy, CEO of cyn.ai. “We’re removing a huge portion of the management burden from over-taxed cyber teams while simplifying defensive operations.”

The company’s founders said the idea was born after interviewing 22 CISOs from major North American enterprises, most of whom reported mounting pressure to do more with less. Many admitted they could remediate only about a quarter of their critical vulnerabilities because they lacked sufficient staff to operate the tools they already had. “Behind every SaaS system there’s still a person,” one executive explained. “And there just aren’t enough people.”

Cyn.ai’s response was to rethink automation itself. Instead of layering new dashboards or alerts on top of existing tools, the company built autonomous agents capable of learning from global deployment data, sharing insights across environments, and communicating directly with users — even non-technical ones — to guide actions such as changing compromised passwords or reporting spoofed accounts.

The result, the company argues, is a move from Software-as-a-Service to Agent-as-a-Service (AaaS): elastic AI workers that can scale on demand and continuously improve through collaboration. The first 25 enterprises to adopt the system will gain free access through 2025, allowing them to test how agentic AI can supplement thinly stretched teams.

As Levy put it, defending against AI-powered adversaries requires a fundamental shift in how organizations operate. “You don’t bring a knife to a gunfight,” he said. “To fight AI-driven attacks, defenders need AI-driven defense.”

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Bill Brenner

InfoSec content strategist, researcher, director, tech writer, blogger and community builder. Senior Vice President of Audience Content Strategy at CyberRisk Alliance.

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