KnowBe4, the world-renowned cybersecurity platform that comprehensively addresses human risk management (HRM), is proud to highlight the success of its customers in achieving remarkable transformations in their HRM programs. By leveraging KnowBe4’s HRM+ platform and advanced AI-driven products including AIDA (Artificial Intelligence Defense Agents), customers like First Community Credit Union have reduced their Phish-prone Percentage (PPP) to a near-perfect one percent.
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AIDA combines human expertise with advanced AI to give organizations a clear view of their human risk and the tools to reduce it. Powered by the SmartRisk Agent, it utilizes 316 indicators influencing 37 factors across seven knowledge areas. It automates targeted actions based on each organization’s unique threat landscape, helping security teams work faster, train smarter, and strengthen defenses. KnowBe4’s agentic AI capabilities are rooted in having the industry’s largest data set of simulated phishing and people-centric cybersecurity defense measures collected from over 13 million global users and 15 years.
Bryan Perkola, senior vice president of information security at First Community Credit Union in Houston, shared in a video how KnowBe4 has been instrumental in reshaping their approach to security awareness. “We’ve recently started using the AIDA products in our defenses,” said Perkola. “So being able to show how AI is actually influencing what we’re doing with the defenses now versus the threats has been very significant. I couldn’t imagine switching to anything else.”
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“One of the reasons I joined KnowBe4 is because of the company’s AI leadership,” said Bryan Palma, CEO, KnowBe4. “Our customers are engaged in an AI arms race with cybercriminals. We are expanding the agentic capabilities of our HRM+ platform to allow defenders to outpace attackers with smarter, data-driven defenses.”
In addition to AIDA, PhishML Insights is now available as part of PhishER+. This AI capability enables InfoSec teams to better understand emerging attack patterns by setting customized confidence thresholds for email threat classification while receiving detailed explanations of why each message was tagged as clean, spam, or a threat.
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Source: prnewswire
