Artificial intelligence has taken the world by storm with promises of helping mankind through intelligent machine-driven rationalization of risks and predictive analytics. Researchers consider the impact of the internet of things (IoT) and artificial intelligence (AI) as the main drivers of the fourth industrial revolution, or Industry 4.0, enabling informed decision-making through real-time communication.
The physical security industry has also been experiencing the need to keep up with Industry 4.0. Its focus has shifted from systems with simplistic security features to solutions that can analyze, categorize and measure risks, and then implement the learning to predict future risks. Organizations have invested substantial time and resources in developing and implementing machine learning (ML) algorithms for more intelligent systems in recent years.
Let’s have a look at how far we have come in leveraging AI in the physical security industry.
The video surveillance industry has already successfully implemented AI-ML analytics-based object identification and classification, which sets it apart from its traditional counterpart. The ML-based system provides high accuracy and reduces cases of false alarms. We are also expecting a future for video analytics, when ML algorithm will run in low-cost hardware instead of a server, making it more available.
Similarly, the present-day access control systems are more capable than their traditional versions. Now they can protect sensitive information, automate monitoring of the premise, identify failure points and alert the security personnel in case of an event. In the coming years, we expect to use AI in proactively predicting anomalous behavior, security risk factors, and optimizing processes, aiding in quick decision-making and swift response by organizations.
Why AI and ML are needed to protect the infrastructure
Every day, a vast amount of data related to alarms and access control logs is being pushed into the ACS database, which is recorded and presented in reports. Organizations check the reports either at specific intervals or only when needed. At present, they lack a mechanism, in real-time, to analyze these data and improve on the outcome. Organizations can only monitor the data, decipher it and rely on their judgment for better future developments. More often than not, they are unable to reach the maximum potential of their security efforts.
To fill this gap, IDCUBE has recently launched a new initiative, AInsights (AI-Insights). Through AIngishts, our goal is to take the large volumes of data, consolidate and contextualize it, and present it to the users to guide them in taking proactive actions. We analyze a facility’s security fortification by measuring its Facility Security Score, generated by combining four parameters: Alarm Score, Response Score, Infrastructure Score, and Administrative Score. The organization’s performance in each parameter is measured by comparing a system-generated predictive score with an actual score. The Facility Score depicts the overall performance of the organization as compared to the peer organizations.
How is AInsights helping businesses
AInsights has provided organizations with a path to improve their facility ratings; thus, a vision to improve the overall security of people and property. They can now save a lot of their crucial time taking responsive actions while leveraging reliable and usable data. The consolidated information provided to the security teams helps them in taking quick decisions and executing them faster.
How aligned is IDCUBE with the access control regulations
When dealing with critical customer-centric information, maintaining the privacy of the stakeholders is our top priority. We are also driven towards creating and securing smarter infrastructures having a solid defense mechanism against all types of physical and network invasions. Hence, IDCUBE’s system is designed to focus on the various international security regulations and standards, as required by the global market. Let’s have a look at the important ones:
Advanced Encryption Standard (AES): AES is an internationally accepted standard for securing communication channels using 128, 192, and 256-bit encryptions. Our system uses AES 256/128-bit encryption to protect the controller-software/server communications. For controller-reader communications, OSDP encryption is used.
UL294 Certification: The UL294 is an internationally accepted standard for access control systems, accredited by the American National Standard Institute (ANSI) and National Standards of Canada (NSC). The main components of UL294 certification covering access control systems are line security, level of destructive work, standby power, and endurance. To qualify for the certification, the level of performance under these components should be marked for each access control equipment.
VAPT certification: VAPT certification is focused on identifying the different types of vulnerabilities in an organization’s network, applications, and existing cyber security measures. VAPT certification ensures that the system is hack-proof and non-penetrable by intruders.
General Data Protection Regulation (GDPR): GDPR ensures the protection of the personal information of customers, employees, and other stakeholders of an organization, required to operate in the European market. Compliance with GDPR requirements ensures that the organization follows the new European Union’s Data Protection Regulation and has taken the necessary steps in securing sensitive data.
AInsights aims at running deeper into the system and helping the customers achieve the best results of predictive analytics through a highly secure platform, wherein they don’t have to worry about the protection and confidentiality of data.

This article is taken from IDCUBE’s website.