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Obsidian Security

Obsidian Security provides a unified platform for SaaS Security Posture Management and Identity Threat Detection and Response, enabling organizations to monitor and mitigate risks associated with unauthorized applications and excessive privileges. By leveraging machine learning and real-time threat insights, the platform reduces the attack surface and enhances protection against identity-targeted breaches.

Newport Beach, United StatesFounded 201719420K+ followers
Updated 20 months ago

Funding

$119.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

NV
Funding rounds are not available yet.

Founders

Product

Problem

Organizations face challenges in managing the security of their SaaS applications due to the increasing number of connected apps, excessive user privileges, and the rising sophistication of identity-targeted attacks. Traditional security solutions often lack visibility into SaaS environments, leaving gaps that attackers can exploit.

Solution

Obsidian Security offers a unified platform that combines SaaS Security Posture Management (SSPM) and Identity Threat Detection and Response (ITDR) to provide comprehensive SaaS security. The platform delivers end-to-end security, from posture management to threat protection, by monitoring and mitigating risks associated with unauthorized applications and excessive privileges. By leveraging machine learning models trained on real-world SaaS threat data, Obsidian provides actionable insights and automated defenses to reduce the attack surface and enhance protection against identity-targeted breaches.

Target Audience

The primary target audience includes Fortune 1000 companies and other organizations that rely heavily on SaaS applications and need to protect their users, apps, and data from security threats.

Features

  • Continuous monitoring of SaaS applications to identify security misconfigurations and compliance violations
  • Real-time threat detection and response for human and non-human identities within SaaS environments
  • Machine learning-driven analysis of SaaS threat data to identify and stop attacks
  • Automated remediation steps to address security vulnerabilities and reduce the attack surface
  • Consolidated and normalized view of threat and posture alerts with prioritized remediation steps
  • Integration with leading incident response firms and strategic partnerships to strengthen the platform
  • Full visibility into SaaS integrations, usage, and permissions
This profile is AI-generated and may contain inaccuracies.