{"id":33585,"date":"2025-08-06T18:45:42","date_gmt":"2025-08-06T15:45:42","guid":{"rendered":"https:\/\/digitrendz.blog\/?p=33585"},"modified":"2025-08-06T18:46:25","modified_gmt":"2025-08-06T15:46:25","slug":"reveal-platform-uncovers-post-login-identity-insights","status":"publish","type":"post","link":"https:\/\/digitrendz.blog\/z\/newswire\/artificial-intelligence\/33585\/reveal-platform-uncovers-post-login-identity-insights\/","title":{"rendered":"Reveal Platform Uncovers Post-Login Identity Insights"},"content":{"rendered":"
\u25bc Summary<\/summary>\n

– Reveal Security launched the Reveal Platform, offering preemptive identity security for SaaS, cloud, and custom applications with end-to-end visibility into human and non-human identity behaviors.
– The platform addresses the limitations of conventional detection methods by tracking identity behavior post-authentication, differentiating legitimate from malicious activity.
– Gartner Research highlights the necessity of preemptive cybersecurity due to the rising threat of AI-enabled attacks, which undermine traditional detection and response methods.
– Reveal uses AI, ML, and behavioral analytics to detect anomalies, insider threats, and credential abuse across applications like Microsoft 365, AWS, and Salesforce without overwhelming SOC teams.
– The platform provides automated responses, such as suspending accounts or revoking sessions, and integrates with SIEM and SOAR tools for streamlined threat mitigation.
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T<\/mark>he Reveal Platform<\/a> delivers unprecedented visibility into identity behaviors after authentication, helping organizations combat evolving cyber threats across SaaS, cloud, and custom applications.<\/strong> This innovative solution addresses a critical gap in enterprise security<\/a> by monitoring both human and non-human identities post-login, where traditional detection methods often fail.<\/p>\n\n

Modern enterprises face escalating risks from compromised credentials, insider threats<\/a>, and automated attacks. While most security tools focus on login attempts, Reveal tracks activities across applications, correlating behavioral signals to detect anomalies that indicate malicious intent.<\/strong> By analyzing patterns in platforms like Microsoft 365<\/a>, Salesforce<\/a>, AWS<\/a>, and Okta<\/a>, the platform identifies unauthorized access, privilege abuse, and suspicious insider actions without relying solely on predefined rules.<\/p>\n\n

Kevin Hanes<\/a>, CEO of Reveal Security<\/a>, emphasizes the urgency of this approach: “Once an attacker gains access, signature-based detection becomes ineffective. Organizations need continuous behavioral monitoring to distinguish between legitimate and malicious activity.”<\/strong> Gartner research<\/a> supports this, warning that traditional detection methods struggle against AI<\/a>-driven threats, making preemptive security essential.<\/p>\n\n

Key capabilities of the Reveal Platform include:<\/strong><\/p>\n\n