Cloud-Native Platform

Video Surveillance Software Cloud Security Surveillance Software for Multi-Site Teams

Your surveillance infrastructure deserves better than legacy software designed in the last decade. Surveillant is AI video surveillance software that delivers cloud-based video management with AI intelligence, natural language search, and real-time threat detection built right in. Finally, AI surveillance software that works as hard as your security team.

What Is AI Video Surveillance Software?

AI video surveillance software is a platform that applies artificial intelligence and computer vision to live and recorded camera feeds, automatically detecting people, vehicles, and behaviors that matter. Unlike traditional recording software, AI surveillance software understands what is happening on camera, alerts your team in real time, and lets you search footage in plain English.

Traditional video surveillance software was built to record and replay. It captures footage and stores it, but finding a specific event means scrubbing through hours of timeline by hand. AI video surveillance software adds an intelligence layer on top: every frame is analyzed as it arrives, objects and actions are indexed, and threats trigger alerts the moment they occur. That shift moves a security operation from reactive evidence review to proactive prevention.

Surveillant runs entirely in the cloud and works with the IP cameras and NVRs you already own, so you get modern AI surveillance software without ripping out existing hardware. Connect a camera over RTSP or ONVIF, define what you care about in natural language, and the system handles detection, alerting, and search across every feed at once. It also records that footage to secure cloud storage, so the evidence survives a stolen recorder and you can hold months of retention without buying drives. That active-watching layer is what turns a recorder into a real video monitoring system: cameras stay the same, but something finally watches them around the clock.

It also doubles as your AI video management system. A traditional VMS organizes camera feeds, recording, and user access in one place; Surveillant does that and layers AI on top, so the same dashboard that manages your cameras also surfaces threats, tracks people and vehicles across feeds, and answers plain-English questions about what happened. For teams comparing AI video management software, that means one cloud platform instead of a separate VMS, analytics add-on, and search tool.

Last updated July 2026

What Is Cloud-Native Video Surveillance Software?

Cloud-native video surveillance software runs your cameras, recording, analytics, and search entirely from the cloud instead of on-premise NVRs or servers. Your IP cameras stream to a secure cloud platform that stores footage, runs AI on every frame, and gives your team access from any browser. There is no recording appliance to buy, patch, or replace.

The difference between cloud-native and cloud-based video surveillance software is real. A cloud-based product often bolts a web portal onto legacy on-premise architecture, so you still run local servers and simply view them remotely. Cloud-native software, like Surveillant, was built for the cloud from day one: it scales automatically across sites, updates itself, and never asks you to size or maintain a server. That is why multi-site teams searching for cloud video surveillance software end up on a cloud-native platform.

Because the intelligence lives in the cloud, you can add a new location by pointing its cameras at Surveillant, and every feed inherits the same AI analytics and plain-English search. See how the pieces fit together on our dedicated cloud video surveillance software page.

By the Numbers

Video Surveillance Software Market Statistics (2026)

The shift from on-premise recorders to cloud video surveillance software is now the defining trend in physical security. Independent researchers size the video surveillance as a service (VSaaS) market at roughly $7.6 to $7.8 billion in 2026, on track to reach $23 to $25 billion by the early 2030s at about 14% annual growth, and the majority of newly installed systems are already cloud-based. The figures below are third-party market-research estimates, cited to their source.

Metric Figure Source
VSaaS (cloud video surveillance) market size, 2026 ~$7.6 to $7.8 billion, projected to reach $22.9 billion by 2034 (about 14.4% CAGR) Fortune Business Insights
VSaaS market alternate estimate ~$11.5 billion (2026) growing to $25.2 billion by 2032 (about 13.9% CAGR) SkyQuest / market press estimates
New surveillance systems installed on cloud infrastructure More than 65% of systems installed in 2025 run on cloud-based infrastructure 2025 industry adoption research
Enterprises using AI-assisted video analytics About 59% of enterprises globally had adopted AI-assisted surveillance analytics by 2025 2025 industry adoption research
Largest regional market North America held roughly 40% of the VSaaS market in 2025 Fortune Business Insights

Market-size figures vary by how each analyst defines the category (pure cloud VSaaS vs. all video surveillance software and hardware). Ranges above are drawn from published 2026 market-research reports and adoption surveys and are provided for context, not as a Surveillant guarantee.

The Challenge

Legacy Video Surveillance Falls Short

Most video surveillance software was designed when cameras recorded to tape and the primary function was simple playback. These systems have been updated incrementally over the years, but their fundamental architecture remains rooted in outdated assumptions about how security teams work and what technology can accomplish.

Security professionals today face challenges their predecessors could not have imagined. Camera counts have exploded from dozens to thousands. Video resolution has increased dramatically, creating massive storage requirements. And the threat landscape has evolved to require faster detection and response than any human team can provide through manual monitoring.

Meanwhile, legacy surveillance software requires expensive on-premise servers, complex maintenance, and constant updates. Each new feature seems to require another hardware purchase or another specialized technician. The total cost of ownership spirals while the capabilities lag behind what modern AI makes possible.

The Answer

Cloud-Native Intelligence

Surveillant represents a fundamental rethinking of what video surveillance software should be. Built from the ground up for the cloud era, our platform eliminates the complexity and cost of on-premise infrastructure while delivering capabilities that legacy systems simply cannot match.

With Surveillant, your cameras stream to our secure cloud where AI models analyze every frame in real-time. The system detects threats, tracks objects, and indexes everything for instant retrieval. When you need to find something specific, simply describe it in plain English. Our natural language search understands your query and retrieves matching footage from across your entire camera network in seconds.

Because we handle all the heavy lifting in the cloud, you never worry about server capacity, software updates, or hardware maintenance. Your surveillance capabilities automatically improve as we enhance our AI models and add new features. What once required a major capital investment now works through a simple monthly subscription with predictable costs.

Platform Features

Video Surveillance Software Features That Matter

Every capability designed to solve real problems that security teams face daily, not features created for marketing checklists.

True Cloud Architecture

No on-premise servers to maintain, no hardware to purchase, no software to update. Everything runs in our secure cloud with automatic scaling, redundancy, and disaster recovery built in.

Unified Camera Management

Manage cameras from any manufacturer through a single interface. Support for ONVIF, RTSP, and direct integrations means you are never locked into proprietary hardware ecosystems.

Natural Language Search

Find exactly what you need by describing it in plain English. Search across all cameras and time ranges instantly. What took hours of manual review now happens in seconds.

Intelligent Alert System

Configure smart alerts based on detected objects, behaviors, and custom rules. Reduce false alarms with AI that understands context and learns your environment over time.

Security Analytics

Visualize patterns with heat maps, traffic flow analysis, and trend reports. Understand how your spaces are used and identify security gaps before they become incidents.

Enterprise Security

SOC 2 Type II certified with end-to-end encryption, SSO integration, role-based access control, and comprehensive audit logging. Your video data protected by bank-level security.

Why Surveillant

Benefits of Cloud Video Surveillance Software

Security leaders choose Surveillant for the operational advantages our cloud-native platform delivers over traditional surveillance systems.

0
Servers Required

Eliminate on-premise infrastructure entirely. No hardware purchases, no maintenance contracts, no capacity planning.

5min
To Deploy

Connect your cameras and start analyzing footage within minutes. No installation projects or IT involvement required.

99.9%
Uptime SLA

Enterprise-grade reliability with built-in redundancy and automatic failover across multiple data centers.

Lower cost
Cost Reduction

Organizations typically cut spend compared to legacy VMS total cost of ownership by dropping server hardware, maintenance contracts, and per-camera licensing.

Getting Started

How Cloud Video Surveillance Works

Moving to cloud video surveillance software is straightforward. Your existing cameras continue working while gaining powerful new capabilities. Still building a shortlist? Our roundup of the best video analytics software compares the eight platforms US teams evaluate most, and the guide to the AI video analytics companies explains which kind of vendor fits which camera plan, including NDAA Section 889 restrictions.

01

Sign Up

Create your account and access the Surveillant dashboard. No credit card required for the free trial period.

02

Connect Cameras

Add your IP cameras via RTSP stream or through our VMS integrations. Works with cameras from any manufacturer.

03

Configure Rules

Set up detection zones, alert triggers, and notification preferences based on your security requirements.

04

Monitor and Search

View live feeds, receive intelligent alerts, and search through footage using natural language queries.

Industry Solutions

Video Surveillance Software for Every Industry

Surveillant adapts to the unique security requirements of different environments, delivering tailored intelligence for every use case.

Multi-Site Retail

Manage surveillance across hundreds of store locations from a single dashboard. Track loss prevention metrics, monitor customer traffic patterns, and respond to incidents at any location instantly. Our cloud architecture scales seamlessly whether you have ten stores or ten thousand.

Commercial Properties

Building owners and property managers use Surveillant to protect tenants, monitor common areas, and maintain security compliance. Integrate with access control systems to verify who enters your buildings and when. Generate reports for insurance and liability protection.

Manufacturing Facilities

Monitor production floors for safety compliance, track inventory movement, and secure perimeters around the clock. Detect PPE violations, unauthorized access to hazardous areas, and potential workplace incidents before they escalate into injuries or costly shutdowns.

Educational Institutions

Protect students and staff across campus buildings, athletic facilities, and parking areas. Coordinate emergency response with real-time situational awareness. Meet compliance requirements for campus safety regulations while respecting student privacy.

Healthcare Organizations

Secure hospitals, clinics, and care facilities with surveillance that understands healthcare environments. Monitor patient safety, protect pharmaceutical storage, and maintain HIPAA compliance with built-in access controls and audit logging.

Transportation Hubs

Airports, transit stations, and logistics centers require surveillance that can handle massive scale and complex environments. Surveillant processes thousands of camera feeds simultaneously while providing the search capability to find specific individuals or incidents instantly.

Buyer Guide

How to Choose the Best AI Surveillance Software

The best AI surveillance software is the platform that turns the cameras you already own into an active security system, not just a recorder. In 2026 the deciding factors are AI detection accuracy, how fast you can search across every site, real-time alerting, camera-agnostic compatibility, and an honest total cost of ownership. The checklist below is how security teams separate genuine AI surveillance software from legacy VMS tools with a thin analytics add-on.

What to evaluate Why it matters for buyers What to look for
AI detection quality Weak models flood your team with false alerts and miss real events, so the software stops getting used. People, vehicle, and behavior detection with low false-positive rates and tunable alert rules.
Natural language search Finding one clip across hours of footage by hand is the single biggest time sink in any investigation. Plain-English search like "person in a red jacket near the loading dock at 6pm" across every camera at once.
Camera compatibility Software that only works with one brand forces a costly hardware rip-and-replace. Camera-agnostic support over RTSP and ONVIF so existing IP cameras and NVRs keep working.
Deployment model On-premise servers add maintenance, IT overhead, and a single point of failure across sites. Cloud-native or hybrid edge-cloud so multi-site teams manage everything from one dashboard.
Security and compliance Video is sensitive data; a breach or failed audit can cost far more than the software itself. SOC 2 Type II certification, encryption in transit and at rest, SSO, and role-based access.
Total cost of ownership Upfront hardware plus annual maintenance often dwarfs the license fee buyers focus on. Transparent per-camera subscription that bundles storage, analytics, updates, and support.

Surveillant was built to score well on every line of that checklist. It adds an AI layer to virtually any IP camera over RTSP or ONVIF, runs in the cloud so there are no servers to maintain, indexes every feed for plain-English search, and is SOC 2 Type II certified. Because pricing is a simple per-camera subscription that includes storage, analytics, and support, the total cost of ownership is usually lower than a legacy VMS once hardware and IT overhead are counted. The most reliable way to find the best AI surveillance software for your team is to connect a few real cameras and test detection and search on your own footage, which you can do during a free trial.

FAQ

Frequently Asked Questions About Video Surveillance Software

What is the difference between video surveillance software and a DVR or NVR?

DVRs and NVRs are hardware devices that record and store video locally on hard drives. Video surveillance software, particularly cloud-based platforms like Surveillant, provides a complete video management solution without requiring dedicated recording hardware. The software handles video processing, storage, search, and analytics in the cloud. This eliminates the need to purchase, maintain, and eventually replace physical recording equipment while providing capabilities that local hardware simply cannot match, such as AI-powered search and real-time threat detection across unlimited cameras.

What is the difference between cloud-native and cloud-based video surveillance software?

Cloud-based video surveillance software often adds a web portal to legacy on-premise architecture, so you still run and maintain local servers and just view them remotely. Cloud-native video surveillance software, like Surveillant, was built for the cloud from the start: it stores footage, runs AI, and scales across sites without any recording server to size, patch, or replace. For multi-site teams the cloud-native approach means lower maintenance, automatic updates, and one dashboard for every location.

Can video surveillance software work with my existing cameras?

Yes, Surveillant works with virtually any IP camera currently on the market. We support standard protocols including RTSP streaming and ONVIF, which means cameras from manufacturers like Axis, Hikvision, Dahua, Hanwha, Bosch, and dozens of others all integrate seamlessly. If your camera can stream video over IP, it can connect to Surveillant. We also integrate directly with popular VMS platforms and NVRs, so you can layer our AI capabilities on top of existing infrastructure without disrupting current operations.

How secure is cloud video surveillance?

Surveillant implements multiple layers of security to protect your video data. All video streams are encrypted in transit using TLS 1.3, and stored footage is encrypted at rest using AES-256 encryption. We maintain SOC 2 Type II certification, meaning our security practices are independently audited annually. Access is controlled through role-based permissions with support for enterprise SSO providers. Every action in the system is logged for audit purposes. For organizations with specific compliance requirements, we offer data residency options to keep footage in particular geographic regions.

What happens to my footage if my internet connection goes down?

Video surveillance software handles connectivity issues gracefully. If your internet connection is interrupted, cameras with local storage continue recording locally. When connectivity is restored, that footage automatically syncs to the cloud. For mission-critical deployments, we recommend cameras with SD card slots or pairing with an on-premise NVR as a local buffer. The Surveillant platform is designed to be resilient, and you will never lose footage due to temporary network issues.

How much bandwidth does cloud video surveillance require?

Bandwidth requirements depend on your camera count, resolution settings, and frame rates. A typical 1080p camera at fifteen frames per second uses approximately two to four megabits per second. Surveillant supports configurable quality settings so you can balance video quality against bandwidth constraints. For locations with limited connectivity, we offer edge compression options that reduce bandwidth while maintaining visual quality for AI analysis. Our team can help you assess requirements for your specific deployment during the trial period.

Can I access video surveillance software from my phone?

Absolutely. Surveillant provides native mobile apps for both iOS and Android devices. Security managers can view live feeds, receive alert notifications, search footage, and manage system settings from anywhere with an internet connection. The mobile experience includes the same natural language search capability available on desktop, so you can find specific footage by describing what you need even when away from your desk.

How does pricing work for video surveillance software?

Surveillant uses subscription pricing based on the number of cameras you connect. This replaces the traditional model of large upfront hardware purchases plus ongoing maintenance costs. Your subscription includes all software features, cloud storage for recorded footage, AI analytics, and technical support. There are no hidden fees for features, users, or API access. Most organizations find that cloud video surveillance costs significantly less than legacy VMS solutions when you factor in total cost of ownership including hardware, maintenance, and IT overhead.

What support is available if I need help?

All Surveillant plans include technical support via email and chat. Business and enterprise plans add phone support with faster response times and dedicated account managers. We also provide comprehensive documentation, video tutorials, and a knowledge base for self-service troubleshooting. For enterprise deployments, our professional services team can assist with system design, camera placement optimization, and custom integration development.

What is the best AI video surveillance software for business?

The best AI video surveillance software for a business is the one that adds intelligence to your existing cameras without forcing a hardware rip-and-replace. Look for cloud deployment, natural language search, real-time threat detection, broad camera and VMS compatibility, and SOC 2 certification. Surveillant delivers all of these and connects to virtually any IP camera over RTSP or ONVIF, so you can evaluate it on your real feeds during a free trial before committing.

How do I pick the best AI surveillance software?

Pick the best AI surveillance software by scoring each option on six things: AI detection accuracy, plain-English search speed across all sites, real-time alerting, camera-agnostic compatibility over RTSP and ONVIF, SOC 2 security, and total cost of ownership including hardware and maintenance. Shortlist two or three platforms, then connect a handful of your real cameras to each during a free trial and compare detection and search on your own footage before you buy.

How is AI surveillance software different from traditional CCTV?

Traditional CCTV records video for later review, so finding an event means manually scrubbing footage and incidents are usually caught after the fact. AI surveillance software analyzes every frame as it arrives, recognizes objects and behaviors, and sends alerts the moment a threat appears. It also lets you search recorded footage by describing what you are looking for in plain English instead of stepping through timelines, turning passive recordings into an active security tool.

How big is the video surveillance software market?

The cloud video surveillance software market, often called VSaaS, is valued at roughly 7.6 to 7.8 billion dollars in 2026 and is projected to reach about 23 to 25 billion dollars by the early 2030s at around 14% annual growth, according to firms like Fortune Business Insights and Mordor Intelligence. More than 65% of newly installed surveillance systems in 2025 run on cloud infrastructure, and North America holds roughly 40% of the market. These figures are third-party estimates that vary by how each analyst defines the category.

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