Anzenna provides an agentless, AI-powered security platform designed to predict and prevent insider threats before data breaches occur. The platform integrates identity, behavioral analytics, SaaS security, and data loss prevention to offer a unified view of security events across the ecosystem. It delivers automated remediation and real-time threat detection for data exfiltration, rogue applications, and compliance violations.
Funding
$8.5M 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.
Founders
Product
Problem
Organizations face significant challenges in detecting and mitigating insider threats, including data exfiltration, credential misuse, and risky user behavior, which often bypass traditional security measures. Existing security solutions may suffer from alert fatigue, lack comprehensive visibility across diverse IT systems, and require complex agent-based deployments.
Solution
Anzenna provides an agentless insider risk management (IRM) platform that delivers unified visibility and continuous multi-factor risk scoring to detect, predict, and remediate insider threats. By integrating with various IT systems such as SaaS applications, security tools, and SIEMs, Anzenna consolidates insider risk, UEBA (User and Entity Behavior Analytics), and SaaS security into a single solution. The platform uses AI-driven analytics to prioritize employee access, behavior, and insights, eliminating alert fatigue and enabling security teams to focus on the most critical risks. Anzenna automates remediation workflows and empowers employees to participate in security measures, expanding the security team's reach across the entire organization.
Target Audience
Anzenna is designed for security teams, CISOs, and IT professionals seeking to proactively manage insider risks, prevent data leaks, and enhance their organization's overall security posture.
Features
- Agentless deployment for rapid setup and minimal operational overhead
- Unified visibility across SaaS, data, devices, identity, and custom applications
- AI-driven risk scoring for employees and teams to prioritize high-risk users
- Automated remediation workflows for contextual training and self-remediation
- Integration with "Have I Been Pwned" (HIBP) to detect compromised credentials
- Optional browser extension to track data exfiltration, shadow IT, and unsafe password usage
- Snowflake integration for monitoring data sharing and usage within Snowflake environments using OAuth and SQL HTTP endpoint
- Continuous monitoring of user accounts and insider risk with proactive threat detection
- Customizable data collection scope to balance employee privacy with risk visibility