Enterprise organizations have complex identity ecosystems stemming from the need to establish and maintain accurate user identities, access privileges, and permissions across multiple systems and platforms.

Managing this complexity and ensuring the integrity and security of the IAM system can be a significant challenge, with the sheer volume alone making it difficult to identify suspicious or abnormal behavior that could indicate a threat.

Organizations use identity and access management solutions like OKTA to address operational needs. However, from a security perspective, 75% of organizations who forward identity log sources to their SIEM do not use them for any detection use cases.* This leaves an organization vulnerable to identity-based threats. Why is this valuable data being collected but not used? The simple answer is legacy SIEM platforms are ill-equipped to provide actionable detections on this data. Rules and thresholds won’t work. MixMode Identity Threat Detection for Okta continuously monitors your Okta environment and correlates behavioral, access, and log data to detect attacks and lateral movement in real-time proactively.