Proofpoint, Inc., a prominent cybersecurity and compliance firm, has successfully concluded its acquisition of Tessian, a frontrunner in leveraging advanced AI to autonomously identify and shield against inadvertent data loss and evolving email threats.
The integration of Proofpoint’s cutting-edge threat and data loss protection technology with Tessian’s AI-driven behavioral and dynamic detection capabilities aims to offer organizations a comprehensive defense against human layer risks. Such risks contribute to over 90% of successful cyber-attacks, encompassing ransomware and Business Email Compromise (BEC), as well as over 90% of data loss incidents, including the 65% stemming from misdirected emails.
In contrast to solutions reliant solely on threat intelligence or those limiting detections to AI, this combined solution is designed to provide unparalleled effectiveness against a broad spectrum of human-targeted threats. These range from social engineering and malware to credential phishing. The unified platform will empower organizations to prevent data loss across critical collaboration channels, spanning email, cloud, and endpoints. It leverages a groundbreaking combination of user activity, behavioral AI, and data classification.
Proofpoint envisions launching these robust joint solutions to the market in early 2024. Darren Lee, Executive Vice President and General Manager of Proofpoint’s Security Products and Services Group, expressed excitement about integrating Tessian’s innovative technology to enhance Proofpoint’s threat and information protection platforms. He emphasized the focus on addressing risky user behaviors, including misdirected email and data exfiltration.
Jerry Kowalski, Chief Information Security Officer at Jefferies, highlighted the continued significance of email as a key risk vector for many organizations. He anticipates that the merger of Tessian’s behavioral-based approach with Proofpoint’s industry-leading data will fortify companies against advanced forms of email risk and data loss.
