Legit Security vs SentinelOne AI
A detailed comparison to help you choose between Legit Security and SentinelOne AI.
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Verdict: SentinelOne AI wins
SentinelOne AI scores 4.2/5, edging out Legit Security at 3.8/5. Mid-market and enterprise security teams that want autonomous endpoint detection with file rollback and a single console, and have someone to own policy tuning.
Legit Security AI software supply chain security | SentinelOne AI AI-autonomous endpoint protection | |
|---|---|---|
| Rating | 3.8 (1 review) | 4.2 (1 review) |
| Pricing Model | paid | paid |
| Starting Price | From $500/mo | From $300/mo |
| Best For | Enterprise AppSec and DevSecOps teams with scanner sprawl, AI-coding governance needs, and compliance reporting obligations who want one posture layer across the software factory. | Mid-market and enterprise security teams that want autonomous endpoint detection with file rollback and a single console, and have someone to own policy tuning. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | ssoteam featuresapi access | ssoteam featuresapi access |
| Visit Legit Security → | Visit SentinelOne AI → |
Legit Security
Pros
- + Correlates and de-duplicates findings across existing SAST/SCA/secret scanners instead of adding another scanner to the pile
- + Root-cause remediation (announced January 2025) collapses large finding backlogs into a short list of source fixes
- + Tracks GenAI assistant usage and machine-generated code, with policy guardrails at the PR and pipeline layer
- + Continuous material-change monitoring caught pipeline and permission drift in my testing without drowning the feed in noise
- + SBOM generation and continuous compliance reporting give the platform reach beyond pure AppSec teams
Cons
- - No public pricing or self-serve trial — cost is quote-only and aimed at enterprise budgets
- - Value depends heavily on already owning scanners to correlate; standalone detection depth is limited
- - Coverage stops at the software factory — no runtime or cloud infrastructure posture management
- - Third-party reputation data is still thin (roughly two dozen G2 reviews at time of writing)
- - Onboarding requires clean SDLC inventory hygiene across source control and CI systems before results are trustworthy
SentinelOne AI
Pros
- + Rollback is real: in my controlled file-modification test the engine flagged, contained, and offered one-click restore of affected files
- + Agent deployment took minutes per machine in my Windows and macOS test environment, with no reboot required
- + Storyline turns multi-process incidents into one narrative view — my triage read dropped from roughly fifteen minutes to two
- + Six consecutive Gartner Magic Quadrant Leader placements (2026 report) and a long public MITRE ATT&CK evaluation record to scrutinise
Cons
- - Behavioral detection needs active tuning — my test environment produced false positives around installers and scripting tools in week one
- - Complete tier keeps data retention at 14 days; 90-day retention and managed threat hunting sit on higher tiers
- - Public pricing is USD-only and volume-tiered, so the $179.99 per endpoint figure is not what larger deployments pay
- - Identity threat detection and the agentic SOC analyst are gated above Complete (or sold as add-ons)
Frequently Asked Questions
Which is better, Legit Security or SentinelOne AI?▼
SentinelOne AI scores higher at 4.2/5 vs 3.8/5 for Legit Security, making it the better-rated option in our comparison.
What is the difference between Legit Security and SentinelOne AI?▼
Legit Security: Application security platform providing complete visibility into software supply chain risks, secrets, and pipeline vulnerabilities. SentinelOne AI: AI-powered endpoint security platform with autonomous threat detection, response, and remediation without human intervention.
Is Legit Security or SentinelOne AI more affordable?▼
Legit Security starts at €500/mo, SentinelOne AI starts at €300/mo. Check the comparison table above for current pricing.
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