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KnowBe4 launches AI-powered Prevent to tackle email risk

KnowBe4 launches AI-powered Prevent to tackle email risk

Techday NZ15-07-2025
KnowBe4 has launched KnowBe4 Prevent, an artificial intelligence-powered email security solution targeted at small to medium-sized businesses to address outbound email risks.
The company stated that the new tool uses advanced machine learning, neural networks, and behavioural analytics to help employees avoid sending emails and attachments to unintended recipients. The release follows the earlier deployment of Prevent Enterprise and represents a broader offering now available to suit organisations of varying sizes.
AI for outbound security
According to KnowBe4, increasing digital communications amplify the risk of human error, which remains the leading contributor to data breaches. Quoting industry data, the company noted that "In 2025, human error remains the leading cause of data breaches (according to Verizon, 60% of incidents involve the 'human element')." Risks from email include exposing sensitive information to the wrong individuals, misattaching files, or including confidential data inadvertently. Penalties for such breaches reportedly include financial losses and reputational harm.
Traditional data loss prevention solutions, KnowBe4 asserted, often rely on static rules and lack the real-time contextual sensitivity required to track what is being sent, to whom, and when.
Prevent aims to address these limitations. It alerts users in real time when they are on the verge of sending information to unintended recipients, and actively detects a range of outbound email security threats. These include misdirected emails, unauthorised sharing of sensitive data, responses to suspicious emails and new domains, as well as attempts at data exfiltration from malicious insiders or compromised accounts. For customers using the Prevent Enterprise version, additional controls are available against the unauthorised disclosure and the transmission of hidden data within attachments.
Reporting and behavioural analytics
The product also incorporates detailed reporting and analytics tools. These give security teams visibility into organisation-wide outbound security risks, chart users' interactions with Prevent's prompts, and quantify the incidents averted to help demonstrate the product's efficacy and return on investment. Outbound email risk continues to be one of the most persistent and costly challenges an organization can face – one that requires smarter, more adaptive approaches to effectively address them. KnowBe4 has a proven track record of effectively addressing Human Risk Management, so we are proud to expand that coverage to include outbound email risk. Prevent is the most intelligent and proactive outbound email security product among today's email data loss prevention methods. Unlike traditional products, it uses advanced machine learning and contextual understanding of user behavior to identify risky actions in real time and prevent a data breach before it occurs. This allows organizations to stop incidents at the source, empower employees to make safer decisions, and enable security teams to manage and reduce risk at scale.
These remarks were made by Greg Kras, Chief Product Officer at KnowBe4, as part of the launch statement.
Market context
The arrival of KnowBe4 Prevent comes as businesses across sectors face increasing regulatory expectations on data protection, particularly with rising numbers of incidents attributed to employee mistakes in digital communications. The implementation of technologies that support real-time monitoring and adaptive intervention is emerging as a trend in organisational approaches to human risk management.
With over 70,000 organisations worldwide reportedly using KnowBe4's broader platform, the introduction of Prevent represents the company's continued emphasis on combining technological and human factors in cybersecurity protocols. The platform's range includes awareness and compliance training, email security, real-time coaching, anti-phishing capabilities, and defence agents driven by artificial intelligence, with the intention to help organisations move from being vulnerable to becoming more resilient assets within their own systems.
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