Organizations with cloud-based physical security systems are adopting AI at a significantly higher rate than those with on-premise systems, according to a recent Verkada report. The report surveyed over 2,700 IT and physical security leaders across 10 global markets, finding that cloud-based systems are using AI at 2.6 times the rate of on-premise systems.
AI adoption in physical security is widespread, but being rolled out in a phased approach. Most organizations use video security to improve broader safety and operations within their organization. This trend is part of a larger shift towards modernizing infrastructure, with gaps expected to grow between organizations that modernize and those that don't.
In related developments, researchers are working on improving physical intelligence in robotics, with the goal of enabling any robot to perform any task in the real world. This involves addressing critical factors needed to move beyond impressive demonstrations to practical, real-world applications.
Several companies are also advancing AI technologies, including Biostar, which introduced the EdgeComp MT-N150, an edge computing system designed for intelligent security, surveillance, and smart city applications. The system supports AI acceleration and provides real-time processing and analysis.
Meanwhile, lawmakers are considering regulations to mitigate the risks of unrestrained AI development. A Senate bill aims to define custodial user agents and require them to keep real-time records of actions taken for users. Additionally, students are developing AI policies for K-12 schools, and researchers are studying the effectiveness of large language models.
Trajectory, a company focused on improving AI experience, aims to provide AI agents with the experience they need to learn and improve over time. Other developments include Illinois' new laws regulating AI use in certain fields, requiring transparency reports and prohibiting AI use in independent clinical decisions.
Key Takeaways
• Verkada report: Cloud-based physical security systems adopt AI at 2.6 times the rate of on-premise systems. • AI adoption in physical security is widespread but being rolled out in a phased approach. • Biostar launches EdgeComp MT-N150 for AI security and surveillance. • Trajectory focuses on improving AI experience through interaction and learning. • Illinois regulates AI use in certain fields with new laws. • Aberdeen Central students develop AI policies for K-12 schools. • Researchers study the effectiveness of large language models. • Senate bill aims to regulate AI development and use. • Physical intelligence in robotics is advancing to enable practical applications. • Verifiable track records are crucial for transparent and immutable data in prediction markets.Cloud Physical Security Lags in AI Adoption
A recent Verkada report reveals that organizations with cloud-based physical security systems are using AI at 2.6 times the rate of those with on-premise systems. The report surveyed over 2,700 IT and physical security leaders across 10 global markets. AI adoption in physical security is widespread but being rolled out in a phased approach. Most organizations use video security to improve broader safety and operations within their organization.
Verkada Report Reveals AI Adoption Gap
Verkada's 2026 State of Cloud Physical Security Report reveals a gap in AI adoption between organizations with cloud-based physical security systems and those with on-premise systems. The report is based on a survey of over 2,700 IT and physical security leaders. AI adoption is increasing, but gaps are expected to grow between organizations that modernize their infrastructure and those that don't.
The State of Physical Intelligence in Robotics
Chelsea Finn, Assistant Professor at Stanford and co-founder of Physical Intelligence, discussed the current state and future trajectory of physical intelligence in robotics. She highlighted the critical factors needed to move beyond impressive demonstrations to practical, real-world applications of robots. The goal is to enable any robot to perform any task in the real world.
Biostar Launches EdgeComp MT-N150 for AI Security
Biostar introduced the EdgeComp MT-N150, an edge computing system designed for intelligent security, surveillance, and smart city applications. The system supports AI acceleration and provides real-time processing and analysis. It is built for industrial environments and offers a reliable and secure solution for data processing and storage.
The Dangers of Unrestrained AI Development
A Senate bill points to the risks of unrestrained AI development. The bill defines a custodial user agent and requires such agents to keep real-time records of actions taken for users. The goal is to prevent AI agents from causing harm.
Aberdeen Central Students Develop AI Policies
Two Aberdeen Central students helped develop artificial intelligence policies for K-12 schools. The students participated in a leadership residency and worked on developing policies for AI. The policies will be used as a model for other schools in the state.
The Paradox of LLM Long Windows
A study challenges the assumption that longer context windows always improve performance in large language models. The study found that increasing context window size does not yield linear performance gains. The findings suggest that more context does not always help.
Trajectory's Arjun Karanam on Closing the AI Experience Gap
Arjun Karanam, co-founder of Trajectory, discussed the importance of experience in AI models. He argued that AI models need to learn from interactions and improve over time. Trajectory aims to provide this experience for AI agents.
Verifying Prediction Market Track Records
A verifiable track record in prediction markets requires transparent and immutable data. The data should include timestamps, entry prices, fees, and all positions. The record must be uneditable and publicly accessible.
Illinois Regulates AI Use
Illinois has laws regulating AI use in certain fields. The laws require transparency reports and prohibit AI use in independent clinical decisions. The state also prohibits employers from using AI to discriminate against employees.
Sources
- Verkada Cloud Physical Security Report Reveals AI Adoption Gap
- Verkada's 2026 State of Cloud Physical Security Report Reveals a Gap in AI Adoption
- Chelsea Finn: The State of Physical Intelligence in Robotics
- Biostar Introduces EdgeComp MT-N150 for Intelligent Edge AI Security
- Context Overload: The Paradox of LLM Long Windows
- Trajectory's Arjun Karanam on Closing the AI "Experience Gap"
- Your artificial intelligence agent could go rogue and spend your money
- Aberdeen Central Students Help Develop Artificial Intelligence Policies For K-12 Schools
- Verifying Prediction Market Track Records: What's Real?
- Transparency, Safety Are Focuses for Illinois AI Laws
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