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Cymphony

Cymphony provides a workforce security platform that maps every identity, data asset, activity, and permission into a unified graph, giving security teams full context to manage AI-related risk. The platform offers four integrated modules—AI governance, data security, identity posture, and threat detection—that help lean security teams reduce AI-driven data exposure and internal blast radius. It deploys agentlessly in hours and is SOC 2 certified, with customers reporting a 74% reduction in AI-driven data exposure within the first 30 days.

New York, New York, United States · HQ
Founded 2024311K+ followers
  • Artificial Intelligence
  • AI Agents
  • Cybersecurity
  • Enterprise Software
  • Software Only
Updated 1 month ago

Funding

Raised to date

$30MRaised 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.

across 2 rounds

SF

$25M · Series A

Announced Sep 2026 · from article date

Disclosed cumulative: $30M

2/2

Founders

Founder details are not available yet.

Product

Problem

As organizations rapidly adopt AI tools and agents, these systems inherit broad access to sensitive corporate data, often exposing years of confidential information in seconds. Security teams lack a unified view of which AI applications are in use, what data they can reach, and which identities—human or machine—hold excessive permissions, leaving critical blind spots that attackers and insider threats can exploit.

Solution

Cymphony provides a Workforce Security Graph that maps every identity, data file, activity, and permission across an organization, linking them into a single contextual model. The platform offers four integrated modules—AI governance, data access governance, identity posture management, and threat detection—that work from the same graph to surface exposure risks in real time. It uses agentless ingestion from drives and identity systems, classifies data sensitivity from metadata without opening files, and provides actionable remediation such as revoking access or notifying owners directly. This unified approach enables lean security teams to prioritize the riskiest exposures and secure AI rollouts before deployment, reducing noise and focusing on what matters most.

Target Audience

Primary customers are lean security teams at mid-to-large enterprises (e.g., 50,000-person organizations) that need to manage AI-related data exposure, insider threats, and identity risk without expanding headcount.

Features

  • Workforce Security Graph that links every file, action, and identity—human or machine—into one unified model for cross-module risk analysis
  • AI governance module that discovers sanctioned and shadow AI apps, maps what data each tool and agent can access, and supports pre-deployment impact assessment
  • Agentic DSPM that identifies overshared or exposed sensitive data, resolves each file to the people and agents who can open it, and enables automated remediation at scale
  • Identity posture management that inventories all accounts—including dormant admins, missing MFA, and over-privileged users—along with usage records for clear actionability
  • Threat Center that detects risky activities in motion, such as mass file downloads, and allows immediate intervention
  • Agentless, SOC 2 certified deployment that goes live in hours without requiring endpoint agents or file content inspection
This profile is AI-generated and may contain inaccuracies.