security

Identity Dark Matter Scanner

Idea Quality
50
Promising
Market Size
80
Mass Market
Revenue Potential
60
Medium

TL;DR

Agentless identity gap scanner for SOC analysts and IAM admins at mid-market hybrid cloud teams using Azure Entra ID/Okta that continuously scans for undocumented local admin accounts, shadow IT apps, and stale credentials—then compares intended access policies with actual enforceable access—so they can reduce breach risks and audit failures by 50% while cutting manual cleanup time by 30%.

Target Audience

Security Operations Center (SOC) analysts and IAM admins at mid-market enterprises using hybrid cloud environments with Azure Entra ID, Okta, or similar SSO tools but lacking full visibility into identity activity outside their main IAM system.

The Problem

Problem Context

Security teams use IAM tools like Azure Entra ID for enterprise SSO, but they lack visibility into identity activity outside their main identity provider. This creates blind spots where compromised accounts, shadow IT apps, and stale credentials go undetected until a breach occurs.

Pain Points

Teams waste days mapping blast radii after incidents because they can’t see all authentication activity. Manual spreadsheets and IGA platforms fail to discover undocumented local admin accounts, contractor service accounts, and shared credentials scattered across tools like 1Password. SIEMs only cover SSO logs, leaving gaps in disconnected systems.

Impact

Security incidents cause direct financial loss, compliance violations, and wasted work hours. Undetected shadow IT increases attack surfaces, while stale credentials create persistent backdoors. Teams lose trust in their IAM setup and struggle to prove compliance during audits.

Urgency

This problem can’t be ignored because security incidents expose it repeatedly. Compliance audits and breach investigations force teams to scramble for visibility they don’t have. Without a solution, teams remain blind to critical risks that could lead to costly data leaks or regulatory fines.

Target Audience

Security Operations Center (SOC) analysts, Identity and Access Management (IAM) admins, and IT security managers in mid-market enterprises with hybrid cloud environments. Any organization using Azure Entra ID, Okta, or similar SSO tools but lacking full IAM visibility will face this problem.

Proposed AI Solution

Solution Approach

ShadowID Scanner is a lightweight, agentless tool that continuously discovers and maps all identity activity outside your main IAM system. It scans for undocumented local admin accounts, shadow IT apps, stale service accounts, and shared credentials—then provides a centralized dashboard for visibility and remediation.

Key Features

  1. IAM Gap Analysis: Compares your intended access policies with what’s actually enforceable, highlighting discrepancies.
  2. Continuous Monitoring: Runs scans on a schedule (daily/weekly) to track changes in identity activity over time.
  3. Remediation Workflows: Generates actionable reports with steps to clean up stale accounts, onboard shadow IT, and enforce MFA.

User Experience

Users log in to a web dashboard where they see a real-time map of all identity activity outside their IAM system. Alerts highlight new risks, and reports show progress over time. The tool integrates with existing SIEMs and IAM platforms, so teams don’t have to switch tools—just gain visibility where they were blind before.

Differentiation

Unlike traditional IGA platforms (which assume everything has APIs) or CASB tools (which only cover SaaS), ShadowID Scanner focuses on the gaps: disconnected systems, legacy apps, and undocumented accounts. It’s simpler than enterprise IGA but more powerful than manual spreadsheets, with a clear ROI for security teams.

Scalability

Starts with basic discovery and monitoring, then expands to deeper analytics, compliance reporting, and integrations with more IAM tools as the user’s needs grow. Pricing scales with the number of users or systems monitored, making it affordable for small teams and flexible for larger organizations.

Expected Impact

Teams gain immediate visibility into identity dark matter, reducing breach risks and audit failures. They save time on incident response and compliance reporting, while stakeholders gain confidence in the security posture. The tool pays for itself by preventing costly incidents and manual cleanup efforts.