Reveal Platform Uncovers Post-Login Identity Insights
▼ Summary
– 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.
The Reveal Platform delivers unprecedented visibility into identity behaviors after authentication, helping organizations combat evolving cyber threats across SaaS, cloud, and custom applications. This innovative solution addresses a critical gap in enterprise security by monitoring both human and non-human identities post-login, where traditional detection methods often fail.
Modern enterprises face escalating risks from compromised credentials, insider threats, 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. By analyzing patterns in platforms like Microsoft 365, Salesforce, AWS, and Okta, the platform identifies unauthorized access, privilege abuse, and suspicious insider actions without relying solely on predefined rules.
Kevin Hanes, CEO of Reveal Security, 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.” Gartner research supports this, warning that traditional detection methods struggle against AI-driven threats, making preemptive security essential.
Key capabilities of the Reveal Platform include:
- Cross-application behavioral analytics – Correlates actions across multiple enterprise apps to expose hidden threats.
- Credential abuse detection – Flags unauthorized post-login activity from stolen or misused credentials.
- Insider threat protection – Monitors high-risk users for negligent or malicious behavior.
- Automated response – Instantly suspends accounts or revokes sessions based on policy triggers.
- Seamless SOC integration – Works with SIEM, SOAR, and collaboration tools like Slack for rapid incident response.
The platform’s machine learning models prioritize high-confidence alerts, reducing false positives while uncovering threats that evade conventional defenses. Real-world detections include:
- A threat actor using stolen credentials to probe cloud file-sharing and identity systems before launching an attack.
- Privilege abuse in Microsoft 365, where an admin account performed unusual mailbox operations linked to potential data theft.
- Suspicious access to a critical custom application by a trusted insider under external coercion.
- CEO impersonation via stolen device credentials, detected through abnormal data access patterns.
By providing identity attribution and predictive intelligence, Reveal enables security teams to act before damage occurs. Unlike rule-dependent tools, its behavior-based approach adapts to emerging threats, making it a vital layer of defense in today’s hybrid environments.
(Source: HelpNet Security)
