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      Reveal Security Unveils the Reveal Platform: Preemptive Identity Security Across Human and Non-Human Behaviors

      Reveal Security logo

      News provided by

      Reveal Security

      Aug 05, 2025, 06:00 ET

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      NEW YORK, Aug. 5, 2025 /PRNewswire/ -- Reveal Security today announced the release of the Reveal Platform, the first solution to deliver preemptive identity security across SaaS, cloud, and custom applications. Designed for modern hybrid enterprises, the platform provides end-to-end visibility into both human and non-human identity behaviors, empowering security teams to stop threats before damage is done.

      Continue Reading
      Reveal Platform Dashboard
      Reveal Platform Dashboard

      "Credentials are compromised all the time; it's a reality in how we have to defend, and now we're seeing insider and non-human identity threats increasing," said Kevin Hanes, CEO, Reveal Security. "The problem is once the identity is authenticated and now inside the applications, conventional detection methods which rely on signature and rule-based methods leveraging known Indicators of Compromise become far less effective, as they often struggle to differentiate between legitimate and malicious activity executed by a seemingly 'trusted' identity."

      "We built the Reveal Platform to shift the balance of power back to defenders by monitoring all identity behavior after authentication, uncovering activity that indicates compromise or insider threat, layering in predictive intelligence and enabling instant, automated response," Hanes said.

      Go Beyond Login: From Detection to Anticipation

      According to Gartner® Research, "Without preemptive cybersecurity, no organization is safe. The increasing speed, sophistication and scope of AI-enabled threats is destroying the reliability of existing stand-alone detection and response (DR) cybersecurity methods."1

      But most security tools monitor identity at the point of login. Reveal goes further – tracking identity behavior across applications and clouds, correlating signals, and detecting anomalies both at and after authentication. With identity attribution, stories of identity behavior, and one-shot response automations, security teams can act quickly and preempt threats.

      With its innovative core technology, including rich data, application threat modeling, ML, and AI, Reveal simultaneously protects against account takeover attacks and insider threats in a single platform without overwhelming the SOC with alerts or the need to write detection rules.

      Key capabilities include:

      • Post-Authentication Visibility: Uncovers what identities do after login across applications like Box, Salesforce, Okta, Microsoft 365, Google Workspace, AWS, Azure, and more.
      • Cross-App Behavioral Analytics: Provides the full picture of what identities are doing across the many enterprise applications they use daily.
      • Credential Abuse Detection: Identifies unauthorized access and post-login activity resulting from stolen or exploited credentials.
      • Insider Threat Protection: Monitors risky users and detects malicious or negligent insider activity.
      • Human and Non-Human Behavior Monitoring: Profiles bots, APIs, and GenAI agents just like human users.
      • Preemptive Identity Security: Through identity attribution and predictive intelligence, Reveal determines who is acting and why, so security teams can take action before damage occurs.
      • One-Shot Response Automations: Instantly suspends accounts, revokes sessions, or updates risk scores based on policy.
      • Seamless SOC Integration: Works with SIEM, SOAR, and Slack for contextual alerting and streamlined response. No endpoint agents required.

      Built for the Front Lines of Cyber Defense

      Reveal's high-fidelity behavioral intelligence prioritizes alerts by severity and confidence, reducing noise while increasing precision. The platform supports hybrid identity environments, flags risky behavior across user and service accounts, and arms security teams with actionable context.

      Real-world examples of Reveal's behavior-based detections, without rule creation, include:

      • Detect Recon of Threat Actor Using Stolen Credentials
        Reveal detected a coordinated series of suspicious actions across multiple applications affecting cloud file-sharing (BOX) and identity access (OKTA) systems, indicating reconnaissance. Showing deviation from normal identity behavior, these anomalies included account deletions, unauthorized collaboration removals, and unexpected identity verification attempts from the Southern Asia subcontinent. The threat was contained.
      • Privilege Abuse in Microsoft 365
        The Reveal Platform detected a coordinated series of mailbox-related administrative operations within Microsoft 365. This activity was immediately flagged due to the identity's atypical behavior and the security-sensitive nature of the actions, consistent with potential data exfiltration. While each operation was individually valid, their combination exhibited a high-risk pattern, indicative of either an insider threat or the malicious exploitation of elevated privileges, potentially stemming from a compromised administrator account. The account was immediately suspended, and the security team launched a full investigation.
      • Suspicious Insider Activity in a Custom Application
        Legacy and custom applications are often not well protected by organizations and usually have minimal controls in place.  Reveal detected a highly trusted identity logging into a "crown jewel" critical business application and accessing confidential data abnormally. The SOC investigated and determined that a company leader was being specifically targeted by a financially motivated cybercrime group.
      • CEO Impersonation Using Legitimate Credentials
        Reveal detected that a company's top executive was accessing Confluence and browsing content on critical information and business systems. Reveal detected the identity performing anomalous behaviors involving this proprietary information and notified the security team.  The information security analysts revoked sessions for that identity to protect the data and to stop the attacker. The executive's laptop had been stolen while he was already logged into multiple applications.

      Availability

      The Reveal Platform is available immediately. Existing customers will receive upgrade support. New customers can request a demo at www.reveal.security.

      1 Gartner, "Tech FutureSight: Preemptive Cybersecurity Is the Only Way to Secure Emerging AI Attack Surfaces," Carl Manion, Luis Castillo, Matt Milone, Charanpal Bhogal, Mark Wah, Travis Lee, Esha Bhatia, Walker Black, Elizabeth Kim, David Senf, Tom Powledge, Isy Bangurah, 9 May 2025 - ID G00833236.

      GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

      About Reveal Security

      Reveal Security is the preemptive identity security company helping enterprises stop identity-based threats before they cause harm. By applying ML- and AI-powered identity behavior analytics across enterprise applications, Reveal brings visibility, precision, and automation to identity security.  Learn more at www.reveal.security.

      Media Contact
      Danielle Ostrovsky
      Hi-Touch PR
      410-302-9459
      [email protected]

      SOURCE Reveal Security

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