Leading to Zilliz cloud, leading surveillance providers overcome the challenges of data overload, enabling real-time threat detection and sub-second video search across enterprise installations.
Redwood Shores, California., June 15th, 2025 /PRNewswire/ – Zilliz, creator of the world's most widely adopted open source vector database, today announced the critical adoption of vector database solutions by video surveillance providers that address critical industry challenges. As a global video surveillance market, it is valuable $62 billion Grow rapidly and evolve from passive monitoring tools to intelligent and aggressive security solutions, using organizations using Zilliz Cloud Milvus reports groundbreaking capabilities to overcome data overload, eliminate the inefficiency of manual monitoring, and achieve real-time threat detection.
Traditional video surveillance systems struggle with data overload from underutilized video, time-consuming manual surveillance processes, and data silos that hinder the integration of cross-domain intelligence. The surveillance platform implementing the Zilliz Cloud Vector database solves these persistent challenges by transforming huge amounts of video data into actionable intelligence through vector embedding that represents visual context and meaning.
“The video surveillance industry is making a massive transformation from reactive monitoring to proactive intelligence,” he said. Charles XieCEO of Zilliz. “Traditional surveillance systems create bottlenecks with manual processes that are prone to human error and data overload that limit effectiveness. Our customers are building AI-Native security solutions that can process huge amounts of visual data in real time, detect anomalies instantly, and provide actionable insights that have previously been unable to achieve.”
Major surveillance platforms report groundbreaking performance
Leading cloud-based monitoring providers report the transformational results after moving from traditional databases to Zilliz Cloud's vector search technology. From retailers with thousands of locations to small businesses managing a small number of sites, they serve large multi-tenant surveillance platforms that have achieved significant improvements in video search performance. The platform provides a 1-second search function over months of footage using natural language queries such as “a person in a red jacket near the road dock” and “a vehicle parked for over 30 minutes.”
“The Vector database solved the fundamental challenge of extracting meaningful insights from large video datasets,” says the technology executive at Surveillance Provider. “We can now provide customers with instant, accurate search results that would require hours of manual reviews on traditional systems.”
Organizations implementing these AI-powered capabilities now allow security teams to detect threats and respond up to them up to 50% faster than traditional monitoring methods, but automated anomaly detection can significantly reduce false positives and operational costs by eliminating a wide range of manual monitoring requirements.
Business customers across retail, industrial safety, transportation infrastructure and smart city initiatives deploy these features to achieve sophisticated loss prevention, automated safety monitoring, passenger flow analysis and privacy-based public safety tracking.
Zilliz Cloud delivers enterprise-scale performance
Zilliz Cloud's distributed architecture meets enterprise-scale video processing demands through several key features. The platform processes billions of video vectors with 100ms sub-100ms latency, while auto-scaling to accommodate traffic spikes and various workloads. Built-in security, encryption, and compliance features protect sensitive video data, and multi-tenant support allows surveillance providers to efficiently serve a diverse customer base.
The Vector database approach transforms video footage into high-dimensional mathematical representations, enabling sophisticated AI analysis and semantic understanding that supports both real-time surveillance and forensic investigations. This technology eliminates traditional surveillance restrictions by disassemblying data silos and integrating video insights with other operational systems.
Industry adoption accelerates with a focus on responsible AI
As AI becomes embedded in surveillance systems, Zilliz emphasizes responsible development practices tailored to privacy regulations such as the GDPR. Rather than replacing security experts, this US-based company's solution maintains transparency and security standards, allowing teams to focus on complex decisions while automation handles regular monitoring tasks, while designing AI-enhanced to boost human capabilities.
The AI and Vector database integration positions surveillance systems for continuous evolution, including implementations of edge computing, video summaries with AI, and autonomous surveillance capabilities that further improve security operations while reducing operational costs.
Solutions available for implementation in enterprises
Implementation organization AI-powered video surveillance Learn more about Zilliz Cloud Zilliz.com/cloud or Please contact sales For discussion on development.
About Zilliz
Zilliz is a US-based global leader built next-generation vector database technology that helps organizations unlock the value of unstructured data and quickly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI out of reach for both businesses, teams and individual developers. Zilliz offers fully managed multi-cloud vector database services powered by open source Milvus, and supports major cloud platforms such as awsGCP, and Azure, and in more than 20 countries and territories.
Headquartered on the Redwood coast, California, USZilliz is backed by major investors including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners and more.
