Dashlane Unveils AI-Powered Alerts as Last Line of Defense Against Phishing Attacks
Dashlane has introduced AI phishing alerts to help businesses detect and prevent credential theft from malicious domains in real-time. This new feature is designed to enhance credential security and protect against phishing attacks. The AI model is trained to identify and alert businesses to potential threats, allowing for proactive action to be taken. By leveraging AI technology, Dashlane aims to provide users with a more secure and reliable experience. This advancement marks a significant step towards improving cybersecurity measures for businesses.
Dashlane-trained AI model detects and alerts businesses to malicious domains in real-time to prevent credential theft. NEW YORK and PARIS, June 17, 2025 /PRNewswire/ -- Credential security leader Dashlane today introduced AI phishing alerts, a powerful advancement to the Dashlane OmnixTM platform that dynamically protects enterprises and users against continually evolving threats targeting user credentials.
AI Phishing Alerts for Enhanced Protection
Trained by Dashlane on both legitimate and phishing sources, the new innovation detects and alerts users to phishing risks the moment they visit a suspicious website, while giving admins the insights to secure employees against phishing domains. AI has made it even easier for threat actors to continually evolve their tactics to evade phishing detection tools, with 74 percent of IT leaders reporting that AI poses an increased threat to password security.
AI phishing alerts augment traditional phishing protection and training by prompting users to verify the legitimacy of a site in real-time, regardless of how they arrived there. This acts as the last line of defense against phishing attacks, even those surpassing conventional controls, before credentials are entered.
Key Features of the AI Model
"Defenders have to match the speed of attackers if they're going to be successful in this AI era," said Christophe Frenet, Chief Product Officer at Dashlane. The strength of Dashlane's AI phishing model lies in its capability to proactively and dynamically catch threats, both known and unknown, helping enterprises to build phishing resistance.
The model analyzes 79 phishing indicators in real-time, such as hidden login forms, external link ratios, and concealed iFrames, to determine whether a domain is potentially malicious. Analysis occurs directly on the user's device, ensuring complete privacy protection.
Combatting AI-Enabled Phishing Campaigns
"For security teams that are strapped for resources, combating the rise of AI-enabled phishing campaigns can feel like a daunting task," said Joanna Chen, Chief Information Security Officer at Dashlane. Having the right tooling in place can help protect users from falling prey to these types of attacks.
The model builds upon the innovation and privacy protection built into Dashlane's AI-powered autofill, which is trained to adapt to the millions of websites on the web to deliver a seamless user experience.
Enterprise-Wide Credential Protection
AI phishing alerts accelerate Dashlane Omnix's ability to proactively uncover and combat human risk, from the initial phishing threat to the ongoing secure management of credentials. The Dashlane Smart Extension can now proactively address shadow IT gaps and resolve at-risk credentials for every employee.
Building a Phishing-Resistant Enterprise
Dashlane's AI phishing alerts are the company's latest advancement towards building phishing resistant enterprises. Dashlane also recently announced enabling phishing-resistant FIDO2 security keys as a primary authentication factor for passwordless vault access.
For more information about AI phishing alerts as part of Dashlane OmnixTM, please visit the Dashlane website.
About Dashlane
Dashlane provides complete credential security, protecting businesses against the threat of human risk. Millions of consumers and 25,000 brands worldwide trust Dashlane for industry-leading innovations, patented zero-knowledge security, and an unmatched user experience.