SentinelOne Singularity Cloud
LeaderThe world’s most advanced, autonomous AI-powered cybersecurity platform
Est 2013|Valuation $8.4B|Raised $2B
Published Oct 24, 2026
| Starting Price | Public example list pricing exists for endpoint bundles; cloud workload SKUs typically vary and are often quote/contract-based | Cloud security pricing generally provided by quote; endpoint bundles have published per-device pricing in some cases | Pricing is typically quote-based and sold as a SaaS subscription |
| Best For | Organizations seeking consolidated telemetry across endpoints and cloud workloads and that require runtime protection and response | Organizations standardized on the CrowdStrike agent and platform requiring integrated endpoint and cloud posture capabilities | Organizations prioritizing agentless posture visibility and a cloud risk graph UX with rapid time-to-visibility |
| Key Strength | Emphasizes runtime detection and response integrated with endpoint telemetry and a broader XDR/data lake approach | Strong platform ecosystem and marketplace integrations; established Falcon agent footprint | Focus on agentless posture analysis and cloud risk graph visualization |
| Key Weakness | Reported setup and tuning requirements, console transitions, and support variability in some channels | Cloud security pricing and module costs can be opaque and add up; integration and consolidation considerations required | Commercial terms and pricing perceptions vary; buyers should validate runtime coverage if runtime response is required |
SentinelOne and CrowdStrike both position cloud security capabilities within larger endpoint and telemetry platforms; each vendor’s approach and ecosystem integration differ and should be validated in a proof of concept for a given estate.
Compared with specialist posture vendors, SentinelOne emphasizes runtime protection and response for workloads. Historical partnership and integration activity with posture-focused vendors indicates complementary strengths in posture vs runtime scenarios and supports validation in PoC testing.
Market adoption and "mindshare" metrics from third-party platforms can provide signals but are imperfect proxies for market share or operational suitability. Use such metrics as one input among product testing and reference checks.