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Cybersecurity · head to head

Microsoft Sentinel vs Spot AI

Microsoft Sentinel logo

Microsoft Sentinel

Cybersecurity

Cloud-native SIEM and SOAR solution

From
Free
Rated
-
Spot AI logo

Spot AI

Cybersecurity

Cloud video intelligence that runs on your existing cameras through an on-site recorder

From
$99/month
Rated
-

The short version

  • Only Microsoft Sentinel has a free tier, so it costs nothing to try first.
  • Each has a real cost: Microsoft Sentinel billing is driven by the volume of log data ingested per day, so cost scales with log noise rather than with users or protected assets; Spot AI at roughly $99 per camera per month the all-in rate is high against a perpetual VMS licence: 200 cameras is around $240,000 a year, recurring, where an on-premise system would be largely a one-time cost.
  • They diverge on capability: Microsoft Sentinel covers AI-powered analytics, Spot AI covers Camera agnostic.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Microsoft Sentinel and Spot AI actually diverge.

Attributes where Microsoft Sentinel and Spot AI differ
AttributeMicrosoft SentinelSpot AI
Starting priceFree$99/month
Pricing modelusage-basedPer camera per month, all inclusive
Free tierYesNo
PlatformsWeb, ApiWeb, iOS, Android
Founded1975Unknown

Identical on both: user rating (Not yet rated), category (Cybersecurity).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Microsoft Sentinel

  • AI-powered analytics
  • Fusion detection
  • UEBA
  • Automated response playbooks
  • Threat intelligence
  • Hunting queries
  • Workbooks
  • Incident management

Only in Spot AI

  • Camera agnostic
  • Intelligent Video Recorder
  • AI video search
  • Operational analytics
  • Cloud management
  • Alerting and clip sharing
  • All-in per-camera pricing

What people use each for

The jobs each tool is most often brought in to do.

Microsoft Sentinel

  • Cloud-based security information and event management (SIEM)not Spot AI
  • Extended detection and response (XDR) across enterprise infrastructurenot Spot AI
  • Data ingestion and long-term security analyticsnot Spot AI

Spot AI

  • A manufacturer with hundreds of existing cameras that wants cloud search without replacing any of themnot Microsoft Sentinel
  • A logistics operator investigating dock door delays and trailer dwell time from footagenot Microsoft Sentinel
  • A retail chain reviewing incidents across dozens of stores without a VPN into each sitenot Microsoft Sentinel
  • A safety team detecting forklift near-misses and missing personal protective equipment automaticallynot Microsoft Sentinel

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Microsoft Sentinel

  • Billing is driven by the volume of log data ingested per day, so cost scales with log noise rather than with users or protected assets
  • Commitment tier discounts require reserving daily ingestion capacity in advance, and a tier cannot be downgraded until 31 days have passed
  • Commitment tiers start at 100 GB per day, above what smaller estates ingest
  • Charges for Log Analytics, Logic Apps and Machine Learning are billed separately on top of Sentinel itself
  • The free allowance is only up to 5 MB per user per day for selected Microsoft 365 security logs
  • Promotional commitment pricing is time limited and locks in only until a stated end date

Spot AI

  • At roughly $99 per camera per month the all-in rate is high against a perpetual VMS licence: 200 cameras is around $240,000 a year, recurring, where an on-premise system would be largely a one-time cost.
  • Reusing existing cameras saves capital but caps quality; AI analytics on a fifteen-year-old analogue camera produces correspondingly poor results and no software fixes the optics.
  • Per-camera monthly billing scales linearly with camera count, so adding coverage is always expensive and there is no volume point where marginal cameras become cheap.
  • The on-site IVR is a single point of failure per location, so an appliance fault takes that site's recording and cloud access with it until it is replaced.
  • It is a subscription with no perpetual option, so an organisation that stops paying loses the platform entirely and is left with cameras and no management system.

Pricing, plan by plan

Microsoft Sentinel

Free
  • Pay-As-You-Go$2.46/day
    • Per GB ingested
    • 90-day retention
    • First 31 days free for new workspaces
  • Commitment TiersFree
    • 100GB to 50TB tiers
    • Up to 65% discount
    • Predictable billing
  • Microsoft 365 E5Free
    • Free data ingestion for M365 logs
    • Bundled with E5 license

Spot AI

$99/month
  • Spot AI$99/month
    • Reference rate of roughly $99 per camera per month
    • Includes the on-site IVR appliance, cloud software, AI and support
    • Monthly, annual and multi-year terms available

Which should you pick?

Choose Microsoft Sentinel if

  • You need ai-powered analytics.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want fusion detection.

Choose Spot AI if

  • You need camera agnostic.
  • You work on Web, iOS, Android.
  • You also want intelligent video recorder.

Questions people ask

Is Microsoft Sentinel or Spot AI better?
Neither clearly leads. Microsoft Sentinel starts at Free and Spot AI at $99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Microsoft Sentinel or Spot AI?
Microsoft Sentinel has a free tier; the other does not. Paid plans start at Free for Microsoft Sentinel and $99/month for Spot AI.
Does Microsoft Sentinel or Spot AI run on more platforms?
Microsoft Sentinel runs on Web, Api. Spot AI runs on Web, iOS, Android.
Can I use Microsoft Sentinel for free?
Yes. Microsoft Sentinel has a free tier, so you can try it without paying. Spot AI starts at $99/month.
What is Microsoft Sentinel best used for?
Microsoft Sentinel is most often used for cloud-based security information and event management (siem), extended detection and response (xdr) across enterprise infrastructure, data ingestion and long-term security analytics. Of those, cloud-based security information and event management (siem) and extended detection and response (xdr) across enterprise infrastructure are not what Spot AI is typically brought in for.
What can Microsoft Sentinel do that Spot AI cannot?
Microsoft Sentinel covers AI-powered analytics, Fusion detection, UEBA, Automated response playbooks. Spot AI covers Camera agnostic, Intelligent Video Recorder, AI video search, Operational analytics.

Answered from the vendors’ own pages

Microsoft Sentinel: How is Microsoft Sentinel pricing calculated?

Microsoft Sentinel uses a pay-as-you-go usage-based model where you pay only for data ingested, stored, and consumed. Flexible commitment tiers are available to reduce total cost of ownership, with specific rates not published on the public pricing page. Source: https://www.microsoft.com/security/business/siem-and-xdr/microsoft-sentinel/

Source
Spot AI: Do I have to buy new cameras?

No. That is the main point of the product: the IVR appliance connects to existing IP and analogue cameras.

Microsoft Sentinel: Does Microsoft Sentinel require an Azure subscription?

Yes, Microsoft Sentinel requires a Microsoft Azure subscription to operate. Pricing is handled through Azure and varies based on data consumption and the commitment tier you select. Source: https://www.microsoft.com/security/business/siem-and-xdr/microsoft-sentinel/

Source
Spot AI: What does it cost?

The reference rate that recurs across pricing breakdowns and Spot AI materials is roughly $99 per camera per month, bundling the appliance, cloud software, AI and support.

Spot AI: Is there a perpetual licence option?

No. It is subscription only, and the platform stops working when the subscription does.

Spot AI: Will AI analytics work on my old analogue cameras?

They will run, but detection quality follows image quality. Old low resolution cameras produce poor analytics results.

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