Compare Cofense Vision vs. Sublime

Cofense Vision enables you to swiftly search for and quarantine emails in just a few minutes or implement an auto-quarantine policy that requires no manual intervention across your entire organization. The deployment process is straightforward and can be tailored to fit your specific environment and compliance needs. It works to automatically intercept and eliminate harmful emails before they reach users' inboxes. Vision enhances visibility significantly by detecting even the smallest changes. On average, it uncovers around 90 malicious email campaigns each month, often targeting numerous individuals in the organization, frequently before they are even flagged. Notably, these threats often evade detection by existing technologies. The platform allows for quick identification and automatic eradication of phishing threats in mere minutes, rather than prolonging the process for days or weeks. It utilizes a vast network of global crowd-sourced phishing intelligence, with contributions from 32 million users reporting suspicious emails. Moreover, it streamlines the process of removing phishing attempts from your enterprise, while also providing tailored security reports, actionable insights, and direct access to experts in the field of phishing. With such comprehensive features, organizations can significantly enhance their email security posture.

Sublime transforms the conventional black box email gateways by integrating detection-as-code with community-driven efforts to enhance security. Its binary explosion feature methodically inspects files sent as attachments or those automatically downloaded through links, identifying threats like HTML smuggling, dubious macros, and various malicious payloads. Additionally, Natural Language Understanding assesses the tone and intent of messages while utilizing the sender’s previous interactions to uncover attacks that do not rely on payloads. The Link Analysis tool employs a headless browser to render web pages and utilizes Computer Vision to scrutinize content for counterfeit brand logos, login pages, captchas, and other potentially harmful elements. Moreover, the sender analysis employs organizational context to uncover impersonation attempts targeting high-value users, thereby adding an extra layer of protection. Furthermore, Optical-Character-Recognition (OCR) efficiently extracts important entities from attachments, such as callback phone numbers, which can be crucial in identifying phishing attempts.