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Detect Threats Pre-Exfiltration

93% of SaaS Compromises Start at the App

And attackers move laterally in minutes.

Get accelerated SaaS threat detection and prevention.

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The Challenge
More SaaS Breaches in the Past 6 Months Than the Past 2 Years Combined
The Average Breakout Time for Attackers is 62 Minutes
SaaS Data Breaches Are More Expensive, Costing $4.75M on Average
The Obsidian Approach
Software activity flow screenshot
Detect Threats in Minutes

- Stop attack vectors like SSPR, SIM swapping, and helpdesk social engineering before data loss
- Identify anomalous user behaviors using ML-based algorithms
- Leverage out-of-the-box detection rules, informed by incident response engagements and mapped to the MITRE ATT&CK framework
- Customize rules to adapt to your specific environment

Accelerate Incident Response

- Receive actionable alerts with details like role, privilege level, locations, and behavior to respond quickly to SaaS threats
- Baseline user behavior trends to expedite alert triage
- Start with tailored remediation steps to accelerate response efficiency
- Drive investigation and hunt for additional insights with searchable SaaS logs
- Integrate with SIEM and SOAR platforms to automate incident response workflows

Software activity screenshot
Prevent Future Threats

- Improve your threat detection with growing insights from hundreds of IR engagements and deployments
- Gain insights into high-risk users and applications across your SaaS environment

Other SaaS Identity Security Use Cases
Stop SaaS Token Compromise

Detect and respond to Adversary-in-The-Middle (AiTM) attacks in minutes to minimize the breach impact.

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Prevent SaaS Spear Phishing

Prevent advanced SaaS phishing attacks from stealing sensitive business data.

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What customers are saying
Headshot of Mario Duarte from Snowflake
We found a compromise through Obsidian first. I sent it over to the analyst side and it was kinda cool how it broke off. It really told a story of what happened. There were three different alerts that got triggered from that one attack. Obsidian did a really good job piecing it together!

Director of Security Operations, Leading Financial Institution

Frequently Asked Questions

SaaS pre-exfiltration threat detection focuses on identifying and stopping cyberattacks before sensitive data is stolen from SaaS applications. With SaaS breaches rising sharply and attackers acting within minutes, early detection is critical to prevent costly data loss and minimize business impact.
Obsidian detects SaaS security threats within minutes using ML-based anomaly detection and out-of-the-box rules mapped to the MITRE ATT&CK framework. This rapid detection is essential, as the average breakout time for attackers is just 62 minutes.
Obsidian is designed to stop attack vectors such as Self-Service Password Reset (SSPR), SIM swapping, and helpdesk social engineering before attackers can access and exfiltrate data. This proactive protection helps reduce the risk of high-cost breaches.
Obsidian utilizes machine learning algorithms to baseline user behavior and identify anomalies that may indicate a threat. These ML-based detections are further enhanced by insights from hundreds of incident response engagements to provide highly accurate threat alerts.
Yes, Obsidian allows you to customize detection rules to fit your specific SaaS environment. You can adapt existing rules or create new ones based on the unique business context and risk profile of your organization.
Obsidian accelerates incident response by providing detailed, actionable alerts that include contextual data such as user roles, privilege levels, and locations. It also integrates with SIEM and SOAR platforms to automate workflows, and offers searchable SaaS logs for efficient investigation and hunting.
SaaS data breaches are significantly more expensive than traditional breaches, costing organizations an average of $4.75 million. Rapid threat detection and response are essential to minimizing these costs and protecting critical business data.
Obsidian continuously improves threat detection by leveraging insights from hundreds of incident response engagements and deployments. It provides ongoing monitoring that highlights high-risk users and applications, helping you proactively defend against new and evolving threats.