Strategies for preparing for advanced AI

Adding AI and automation capabilities to legacy systems

These possibilities are not futuristic; they can be added to existing security systems, which is a key value Soloinsighta leader in security automation and access control solutions. Ambient AI and Cameo these are two companies whose clients already have AI capabilities like those described in this article.

James Connor, Head of Corporate Engagement at Ambient, noted: “The job of a security officer is to ‘observe and report’. LLM and LMM make this work faster and more efficient by linking sensor data, including video, in real-time, allowing officers to act quickly rather than retrospectively.”

Carter Maslan, CEO of Camio, emphasized: “For the first time, we can manage risks with the equivalent of 1,000 experts who are fully trained in our policies from day one. Moving from simple classifier analytics to LMMs capable of understanding video, images and data, as well as security policies and procedures, allows us to tackle risks that previously required human prioritization and resolution. These AI capabilities emerged only six months ago thanks to billions of investments outside the physical security industry. With them comes a mandate to leverage these rapid AI advances to secure and empower business operations.”

As one Camio customer put it, “Every camera has its own orders!”

Connor often points out, “Today’s innovation must not only create new capabilities, but also harmonize with existing legacy systems, prioritizing scalability and meeting security and privacy standards.” Soloinsight President Farhan Masood adds: “The essence of modern security is its adaptability. Legacy systems reach their potential when integrated with advanced automation and identity management solutions.”

Development of security capabilities for AI-enabled operations

Facility security professionals can now reassess their needs by assessing past and potential risks from an AI perspective. For example, consider, “If I could put a security officer 24/7 at every key vantage point, what would they monitor and what data would help inform their actions?” This approach involves evaluating camera coverage and identifying systems that contain relevant information.

In serious incidents, such as potential workplace violence, AI can help by identifying individuals with restraining orders who should be denied entry, strengthening the protection of at-risk workers. Everyday nuisances, such as unauthorized parking in reserved spaces, can also be identified by risk and frequency. With the help of artificial intelligence, such scenarios can be automatically evaluated for compliance with relevant policies and procedures, enabling faster, appropriate data-driven responses.

For example, a VIP who is late for a senior management meeting could be allowed to park in a reserved space for the duration of the meeting instead of broadcasting the parking violation over the public address system, which would interrupt the meeting and embarrass the VIPs and the meeting host . This is an example of security using artificial intelligence to intelligently apply policies and procedures that are harmoniously suited to the business, requiring a more comprehensive assessment of security operations and response to situations that was necessary in the previous era of security technology.

Security based on data and business operations

As businesses become more data reliant, AI-enhanced security systems provide not only security but also data analytics, improving the efficiency of functions such as recruitment, retail response, marketing campaign evaluation and security compliance monitoring in production.

By matching current physical security capabilities with emerging AI capabilities, security can create a cost-effective, risk-prioritized strategy that maximizes available human resources and adds value to business operations.

What was once impossible is now possible thanks to AI.