BCD discusses the evolution of video storage – from NVRs to AI-driven infrastructure.
The video surveillance industry has come a long way from the days of basic network video recorders (NVRs).
As resolution, retention requirements and AI-driven analytics continue to expand, storage has become the backbone of every modern security system.
Today’s organisations aren’t just recording video, they’re managing petabytes of data across multiple sites, analysing it in real-time and ensuring compliance with increasingly complex data governance standards.
This evolution has redefined what “storage” really means.
From recording to intelligence – the modern surveillance network isn’t just capturing footage, it’s generating insights. With AI tools analysing streams for behaviour recognition, threat detection or operational analytics, storage must now support high-throughput data ingestion and near-instant retrieval. This has shifted the emphasis from simple capacity to performance consistency. BCD’s purpose-built video storage platforms are engineered specifically for these demanding workloads. Every system is optimised to handle sustained write operations, large-scale retention and predictable playback, ensuring reliability under pressure.
The rise of hybrid architectures – we’re now entering an era where on-premises and cloud storage co-exist. For critical video retention, local infrastructure still delivers the best reliability and latency control. Yet the cloud brings scalability and disaster recovery advantages. The winning strategy lies in hybrid models that intelligently balance both. By partnering with technology leaders like Intel, NVIDIA and Milestone Systems, BCD helps integrators design hybrid infrastructures that align performance, cost and security, giving customers flexibility without compromise.
Security starts with storage – data breaches and cyber-threats are rising sharply in the physical security industry. That’s why cyber-hardening must begin at the storage layer. From encrypted drives to secure OS builds and network segmentation, BCD’s systems embed cybersecurity directly into the architecture, protecting both the data and the devices that depend on it.
“Video storage isn’t just about capacity anymore,” said Craig Marton, CEO of BCD. “It’s about trust. Our customers depend on knowing that their critical footage is not only available but protected and performance-ready when it matters most.”
Designing storage for AI – performance without compromise
AI is transforming the role of video storage from a passive component into an active enabler of real-time insight. But this transformation introduces new performance challenges that traditional storage wasn’t built to handle.
The AI data challenge – AI-driven analytics require rapid access to large video datasets, often hundreds of simultaneous read/write requests at high bitrates. When video is processed for object detection, facial recognition or traffic analysis, the storage architecture must sustain consistent throughput without dropping frames or introducing latency. BCD’s purpose-built systems are designed to meet these requirements head-on. With optimised bandwidth management, redundant data paths and scalable architecture, BCD ensures smooth AI workflows whether running at the edge or in centralised command centres.
Compute and storage (better together) – storage can no longer operate in isolation. The future of surveillance infrastructure lies in integrated compute-storage systems that process data closer to where it’s generated. Edge-optimised servers reduce latency, bandwidth consumption and costs while delivering faster actionable insights. Through OEM collaborations with chipset manufacturers, BCD designs systems that pair compute acceleration (GPUs, VPUs and AI modules) with high-speed NVMe and SSD caching layers, giving integrators the performance foundation AI requires.
Reliability in motion – as AI adoption scales, so does risk. System downtime or data corruption can derail analytic accuracy. That’s why BCD validates every system for continuous uptime, multi-stream recording, and self-healing architecture. This reliability also provides operational peace of mind.
“Artificial intelligence has redefined what video storage must be,” added Kevin Connor, Sr. Engineering Manager at BCD. “It is no longer a passive archive, but an active engine for real-time insight. At BCD, we design systems where compute and storage work in harmony to keep AI performance consistent, scalable and reliable, from the edge to the core.”
“AI only performs as well as the infrastructure behind it,” commented Dan O’Mahoney, COO at BCD. “That’s why we build solutions that prioritise both performance and predictability.”
Optimising storage for multi-site surveillance deployments
As organisations expand, so do their surveillance networks. Managing data across multiple sites introduces new challenges in scalability, redundancy and accessibility.
The multi-site equation – a retail chain might need centralised control; a university might need departmental autonomy; a global enterprise might need both. The key is flexibility in the ability to scale capacity without reinventing the architecture every time a new site comes online. BCD addresses this through modular, stackable storage systems that integrate seamlessly with leading VMS platforms. Whether a project requires 20 TB or 2 PB, integrators can build incrementally without disrupting existing infrastructure.
Reducing total cost of ownership (TCO) – performance is vital, but cost efficiency determines sustainability. BCD’s storage solutions are engineered for longevity, with proactive system health monitoring and intelligent cooling to minimise component fatigue. Combined with 24/7 technical support and global replacement logistics, customers get predictable uptime and lifecycle value.
Centralised visibility, local control – modern surveillance demands both the ability to manage all video assets centrally while maintaining site-level control and compliance. BCD’s hybrid deployment frameworks give organisations the flexibility to monitor health, performance and retention policies across distributed sites through intuitive dashboards. “The goal is simple,” noted Jessica Kirchner, Director of Supply Chain Operations. “Give customers confidence that no matter how complex their deployment, storage won’t be the weak link.”
What’s next for the industry?
As resolutions climb to 8K and AI models demand continuous learning, storage technology will play an even greater role in shaping what’s possible in physical security.
Edge intelligence will dominate – the next frontier is edge-based AI, enabling cameras and gateways to process insights locally before sending metadata upstream. This requires smaller, smarter and faster storage systems with AI-ready hardware. BCD is already developing edge platforms that balance compute power and data endurance, allowing analytics, recording and archiving to coexist seamlessly in compact form factors.
Cybersecurity by design – the convergence of IT and physical security continues, bringing new cybersecurity risks. Future storage systems must include integrated threat detection, secure firmware updates and immutable video logs. BCD’s cyber-hardened builds set the standard for this approach, helping end-users comply with stricter data privacy and retention mandates.
Sustainability and efficiency – the industry is also moving toward greener infrastructure. Energy-efficient components, thermal management and intelligent workload balancing will reduce environmental impact while maintaining performance.
Collaboration will drive innovation – no single manufacturer can solve these challenges alone. That’s why collaboration remains at the heart of BCD’s roadmap. Through partnerships with Dell, NVIDIA, Intel, ASUS IoT and leading VMS providers, BCD continues to shape how storage, compute and AI come together, enabling integrators to deliver smarter, more resilient security ecosystems.
“Futureproofing isn’t about predicting what’s next, it’s about designing for adaptability,” added Ivonne Yeste, OEM Program Manager at BCD. “Our customers don’t need to rebuild their infrastructure every few years. They need systems that evolve with them.”
