App classification
Classifies unknown SaaS by analyzing DNS patterns, API calls, and traffic signatures automatically — no human tagging project needed, no endpoint agent required.
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Problem
Every day, employees install SaaS tools that IT never approved — shadow IT grows silently across your organization while security teams remain blind to what is actually running on their network, creating an expanding attack surface that competitors and adversaries can probe at will.
Solution
ShadowScan discovers, classifies, and scores every unmanaged application on your network automatically — reading vendor privacy policies, checking compliance certifications, and flagging risk in real time without any manual tagging project or agent installation required on endpoints.
Features
Risk assessment
LLM reads vendor privacy policies, security pages, and compliance certifications to auto-score risk per discovered application against industry benchmarks.
Anomaly detection
ML baselines normal SaaS usage across your network and flags new tools, unusual spikes, or data exfiltration patterns the moment they appear.
Vendor scoring
Scores every discovered app against security certifications, privacy policies, and compliance posture automatically — so you always know which tools are safe.
Real-time discovery
Continuous network scanning surfaces new shadow IT the moment it appears, replacing slow quarterly audits with always-on visibility.
Compliance mapping
Maps every discovered app to SOC2, ISO 27001, and GDPR requirements with risk-weighted scores your auditor can verify directly.
How it works
- 1ShadowScan scans your network traffic and DNS patterns to discover every SaaS application, including those that IT never approved or was even aware of.
- 2Each discovered application is classified and scored against vendor security policies, compliance certifications, and risk indicators automatically.
- 3Anomalies and new tools trigger real-time alerts with risk scores, so your team can act before data leaves the network or a compliance gap becomes a liability.
FAQ
- How does ShadowScan find unapproved SaaS?
- It analyzes DNS patterns, API calls, and traffic signatures across your entire network to discover every application — no agent installation required on endpoints.
- Does it require manual tagging of discovered apps?
- No — classification happens automatically via LLM analysis of vendor policies, security pages, and compliance certs retrieved in real time.
- What risk signals does ShadowScan flag?
- New tool appearances, usage spikes, data exfiltration patterns, and vendor compliance downgrades all trigger risk alerts immediately.
- Can it integrate with existing security tools?
- Yes — ShadowScan exports findings to SIEMs and maps every app to SOC2, ISO 27001, and GDPR requirements with verifiable evidence.