Artificial Intelligence Advanced Analytics Brings Value to Access Control Systems

As advanced technology options expand, the industry understands there are issues that need to be addressed.

The access control industry is about to undergo a major transformation with the increasing adoption of artificial intelligence (AI) and advanced analytics to improve security, efficiency and effectiveness. Access control systems are critical to ensuring the security and integrity of people, physical spaces, data and resources. As technology evolves, integrating artificial intelligence (AI) and advanced analytics into access control systems will be a game changer.

But for the past few decades, access control systems have been based on static rules and permissions, which determines that attackers can easily bypass them and are limited in flexibility, adaptability, and scalability. As a result, the industry has been adapting its thinking and adding features and capabilities to respond to the changing environment and world. But even with the addition of features such as video surveillance, visitor management and workplace solutions, many still believe future deployments will require a more proactive approach to combat real-world threats. Now, the emergence of artificial intelligence (AI) and advanced analytics has brought tremendous value and efficiency to access control systems, as well as improved security.

AI-powered access control systems can learn and adapt to changing threats, making them more difficult to breach while providing a higher level of protection that even some industry veterans could not imagine. Moreover, this is the first time we have seen such proactive solutions with predictive capabilities that can bridge the consumption gap and inspire new thinking from new and existing players to challenge the status quo. If a realistic and prudent approach is taken now, electronic security will be redefined.

This article explores how artificial intelligence and advanced analytics can bring value to access control systems by enhancing security, efficiency, and adaptability. Issues of safety and convenience, the value of contextualization, and how privacy, demographics, and incentives play a role in the changing access control system and industry will also be discussed.

What is artificial intelligence and advanced analytics?

Artificial intelligence is the branch of computer science that studies and develops intelligent machines that can perform tasks that typically require human intelligence, such as learning, problem solving, and decision-making . Advanced analytics, on the other hand, involves using statistical algorithms and machine learning techniques to extract insights from large data sets. What does this have to do with an access control system? What can it do, and how can it be used?

Rodney Thayer, a convergence engineer at Smithee Solutions LLC, discusses these and other questions, with answers that allow one to break down artificial intelligence and Suitability for advanced analytics.

Thayer said: "I completely agree that advanced analytics technology is worth considering for access control system deployment. I prefer to think of it as event correlation, like artificial intelligence or machine learning." His answer stated, Correlation of events and data generated in an access control system, without cost or time constraints, can have a positive and beneficial impact on the end-user's business outcomes and their security posture. Or, at least provide benefits and value that can be used elsewhere in the organization.

Benefits of Artificial Intelligence and Advanced Analytics

By integrating artificial intelligence and advanced analytics into access control systems, organizations can increase efficiency, improve decision-making, gain new insights and opportunities, reduce costs and Enhance user experience. More specifically, the benefits will include:

Enhanced security through artificial intelligence and advanced analytics

Detect and prevent unauthorized access: AI-powered facial recognition and biometric authentication Users can be identified and authenticated, while real-time anomaly detection using machine learning algorithms can detect suspicious activity.

• Threat Detection and Proactive Response: Intelligent monitoring and behavioral analysis can be used to identify potential threats. In contrast, predictive analytics can be used to identify potential security risks before they occur.
• Adaptive Access Control: Situational access decisions can be made based on user behavior patterns, while dynamic risk assessment using artificial intelligence algorithms can be used to dynamically adjust access control policies based on the risk level of a given situation.

The most important improvement is the addition of surveillance video with artificial intelligence and access control.

Increase efficiency through automation

• Simplify the access request and approval process: Automated access provisioning and deprovisioning can streamline the access and approval process. Instead, intelligent access request routing based on predefined rules can route requests to the appropriate approvers.
• Intelligent Access Management: AI-driven policy optimization and enforcement can be used to ensure access policies are enforced consistently and efficiently. Instead, automated access recertification and compliance checks can be used to ensure user access is always up to date and compliant with regulations.
• Data-driven resource optimization insights: Advanced analytics can be used to identify access usage patterns to optimize resource allocation and reduce costs.

Enable adaptive and scalable access control

• Dynamic access control based on contextual factors: AI-driven contextual decisions can be based on the user’s location, time of day Access control decisions are made based on various factors such as time of day and device used.
• Integrate with other security systems and data sources: Artificial intelligence and advanced analytics can be used to integrate with other security systems and data sources to provide a more comprehensive view of the security environment and make more informed access control decisions.

These are just a few of the ways artificial intelligence and advanced analytics can enhance security and improve efficiency. As these technologies evolve, expect to see more innovative and impactful applications.

Challenges of Artificial Intelligence and Advanced Analytics

Data Privacy and Security

Data privacy and security are two of the biggest challenges facing artificial intelligence and advanced analytics. As these technologies mature, more personal data can be collected and analyzed. How this data is used and protected will be a matter of concern.

It also raises questions about who will be the authority governing this area. Will we govern ourselves? Will industry step up to the plate? Or will we allow governments to enact GDPR-like regulations across the country?

There are many ways in which artificial intelligence and advanced analytics can violate privacy. For example, AI-driven facial recognition systems can track individuals without their knowledge or consent. Additionally, AI algorithms can be used to identify sensitive personal information from data sets.

It is important to ensure that artificial intelligence and advanced analytics are used in a way that respects privacy and security. Strong data protection policies, encryption and other security measures are required to protect data.

Security, Privacy and Convenience

But in the meantime, another conversation is changing the landscape. How do we address traditional security thinking about security vs. privacy, or security vs. convenience? Which comes first?

The Access Control Executive Brief CEO Lee Odess has an answer to the above question, saying: “Before, From an industry perspective, it was only about security, unless one emphasized the word 'privacy.' Then the discussion shifted and privacy became a rallying cry.

"There are two facts, the new facts and The old truth, while we might want to have a binary conversation, is actually both. In discussions of security versus convenience, security versus privacy, security is always more important. ”

He added: “We need to show self-awareness and not feel threatened by change. ”

In other words, we must find a way to balance security, privacy and convenience. Balancing these issues is a complex challenge, but if we want to ensure responsible use of artificial intelligence and advanced analytics , this problem must be solved.

bias and discrimination

Another challenge for artificial intelligence and advanced analytics is bias and discrimination. Artificial intelligence systems are trained based on data sets. If these data If the set is biased, the AI ​​system will have the same tendencies, which can lead to the AI ​​system making unfair or discriminatory decisions.

Thayer advises: “Trust, but verify. Be sure to validate AI solutions. Can it really tell the difference between a person coming out of the gym and a person in the building with a potential weapon?"

It added: "Don't let artificial intelligence or analytics distract from the basics of infrastructure security. . Don’t assume that the engineers building artificial intelligence understand information security. ”

It is important to address bias in AI systems. This can be achieved by using less biased data sets, using more complex algorithms, and monitoring AI systems for signs of bias.

## James Connor, head of enterprise partnerships at Ambient.ai, pointed to the ability to significantly reduce costs, saying: "What matters most to C-suite is that the entire industry is working on technology, hardware and software. Make the investment, hire a security team and build a SOC. But it ended up paying people to weed out tens of thousands of false positives every day. But it’s only when we go back and investigate that the industry may stumble upon a crime, breach, or other noteworthy incident. ”

Regulation

The regulation of artificial intelligence and advanced analytics is another challenge. AI systems need to have a clear regulatory framework. This means that enterprises need to understand the requirements for developing and deploying artificial intelligence systems. Rules. Regulatory needs are a barrier to the adoption of AI and advanced analytics. Some businesses may be hesitant to adopt and implement these technologies if they are unsure of the rules.

It is very important to develop a regulatory framework for artificial intelligence systems. This framework should balance the need to protect consumers and businesses with the need to encourage innovation. While there may be uncertainty about how the AI ​​and advanced analytics industry will be regulated, at the same time, AI can help organizations improve compliance with regulations such as HIPAA, GDPR, and PCI DSS, thereby protecting organizations from fines and penalties.

The future of artificial intelligence and advanced analytics

How will artificial intelligence and advanced analytics change the world?

• Personalized experiences: AI can control access to products through recommendations or services to personalize the experience, which may enhance security and save time and money, and it may also help us find what we are looking for more easily.
• Live More Efficiently: Artificial Intelligence can make life more efficient, helping improve decision-making by automating tasks or providing us with insights we can’t obtain independently.

What are the ethical implications of artificial intelligence and advanced analytics?

• Bias and discrimination: AI systems are trained on data sets and if those data sets are biased , artificial intelligence systems can also be biased. This could lead to AI systems making decisions that are unfair, discriminatory, or simply wrong.
• Jobs Displaced: Artificial Intelligence and advanced analytics have the potential to replace jobs as machines become able to perform tasks previously performed by humans. This can have very serious consequences for organisations, communities and the economy.

How to prepare for the future of Artificial Intelligence and Advanced Analytics?

• Educate yourself on Artificial Intelligence and Advanced Analytics: It’s essential to understand how these technologies work and their potential impact . This will help in making informed decisions using these technologies.
• Develop ethical guidelines for the use of artificial intelligence and advanced analytics: Develop ethical guidelines for the use of artificial intelligence and advanced analytics. This will help ensure responsible use of these technologies.
• Invest in R&D: Invest in R&D to ensure artificial intelligence and advanced analytics are put to good use. This will help ensure these technologies are used to solve problems and improve lives.

Connor believes that video will be the biggest catalyst and factor influencing the acceptance and adoption of artificial intelligence and advanced analytics in the access control and security industry

"The best technology approach to solving problems What? Video is probably the best. How does nature solve the problem of contextualizing the world and understanding the world? Want to give up on video? It will provide the best way to understand the world. Technically, you will want to replicate this. How else to tell the difference between a door opening and a door holding an alarm? "

The reality is that artificial intelligence and advanced analytics can use video to understand the world around us, which will significantly reduce costs and improve facility security. Improve control systems by orders of magnitude and reveal previously unimaginable problem-solving and decision-making capabilities. It is a game changer and will enhance access control capabilities.

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