AI Video Analytics: How To Increase Security Without Spending More On Training?

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Security is one of the most important aspects of every modern business. Regardless of what you are doing, if your information isn’t secure it can be dangerous for everyone involved. But how do you increase security without spending more money on training? With an AI analytics tool!

In today’s digitally driven world, security is a major concern for many organizations. The stakes are high and the consequences of being hacked can be devastating. In this article, we will show you how to increase your security without spending more on training with AI analytics tools!

Let’s take a look at how companies are using artificial intelligence (AI) and machine learning to train their employees for better performance.

Companies that have already adopted these technologies have reported increased productivity, reduced turnover rates, and increased customer satisfaction. It’s time to get ahead of the curve! The research conducted concluded the following. Let’s talk about how to educate employees with security training.

Challenges Cybersecurity Faces Today

According to the “2017 Annual Cybersecurity Survey” by Deloitte, cybersecurity threats are becoming more sophisticated every day. The increased sophistication of cyber-attacks is forcing businesses to rethink their security strategies. Although many organizations feel they have made significant investments in their security infrastructure, it is reported that most firms fail at protecting their data and sensitive information.

For instance, the Verizon Data Breach Investigations Report (DBIR) 2016 stated that companies that detected a security incident spend an average of $462 per capita on training employees. The report also found that as much as 97 percent of all incidents involved weak, default or stolen passwords. This means that this problem prevents attackers from gaining access to critical assets.

Extreme Growth of Data

One of the biggest challenges that companies face today is a huge volume of data, which constantly grows as new information is created and collected by systems. This growth is driven by the increased use of cloud computing services which store an ever-growing number of records on various subjects.

In addition to these corporate websites, there are a large number of social media platforms, such as Facebook and Instagram. This data can then be used to create user profiles that can be accessed by hackers.

Consequently, the increased sophistication of cyber-attacks has led to heightened concerns about cybersecurity and the protection of sensitive information.

Artificial intelligence and machine learning: The Solution?

Machine learning and artificial intelligence (AI) technologies can be used to detect and suggest actions in response to advanced cyber-threats. At present, most organizations are placing their trust in rule-based systems that are not capable of adapting to the changing patterns of online attacks.

However, with an AI that learns from experience, they can develop complex models that are able to evolve in line with the changing online threats.

Tutorials in using AI for malware detection are readily available on YouTube, which demonstrates how machine learning can be used to detect these suspicious files.

Machine learning algorithms are capable of performing multiple tasks at once and they do not require any supervision.

As a result, they are more efficient than systems that rely on rule-based approaches. As such, AI can be used to monitor and manage large datasets quickly and accurately without human intervention. This means that the growing volume of information won’t affect its performance.

AI technology ensures confidentiality

The use of AI technology in cybersecurity also ensures confidentiality as it uses data insights and applies them to create personalized experiences. This means that the use of AI won’t lead to any data breach as long as employees are trained on how to keep their information secure.

On top of this, machine learning algorithms speed up the process of information analysis by making intelligent predictions without waiting for input from users. In addition to faster insights, they can be used to suggest appropriate actions to users.

AI-powered cybersecurity solutions are expected to create a market worth $35 billion by 2025, indicating the immense potential of this technology in safeguarding data and sensitive information. Security habits are embedded within the security behaviors and the company’s policies to reduce risk.

Recommendations to improve security without spending additional on training

The human factor can affect security culture. It is human beings who can either take or avoid security risks. It’s simple: The more educated employees are about the kind of data they handle and how to share it, the better it will be for your organization from a risk management point of view.

Artificial intelligence (AI) is the new talk in the industry. It is finding its application across multiple domains to gain deeper insights into data and stay ahead of the competition. Security too has become an important aspect for enterprises, with security breaches growing at an alarming rate.  IT security experts today need to not only get trained on the latest technologies but also apply the knowledge to detect and prevent such attacks.

Identifies vulnerability

One of the essential things for security is to maintain consistency across computers. There should be no difference between your home computer, work computer, and mobile devices regarding web browsers used, plugins enabled, or how certain functions are handled (such as saving passwords).

AI analytics tools can help IT, security teams, with this by identifying vulnerabilities and enforcing risk analysis based on common sense reasoning. It uses statistical learning techniques to identify leading indicators of anomalous behavior. The system is trained using a large collection of historical network traffic data. With AI, it is possible to monitor and detect advanced malware very effectively. By predicting the next step of malicious traffic, an AI-based tool can prevent security breaches within an organization.

Provides real-time visibility

AI analytics tools are designed to provide nearly real-time visibility into user and entity behavior so that risks can be detected and mitigated before they lead to larger breaches or outages. Additionally, it adds context to security events, so that they can be prioritized and correlated with other types of data to enable faster response times.

Ability to drill down into alerts

An email has become one of the top vectors for malware, spam, and phishing attacks in public and private sectors. The AI-based tools also provide the ability to drill down into alerts to find the root cause, determine which users are impacted, and identify potentially compromised devices. The technology uses machine learning techniques like clustering to automatically normalize large volumes of disparate data, which can quickly provide insight into any suspicious activities.

Benefits of using AI analytics tools

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Detection and Prevention

Tools are more efficient at detecting anomalous behavior in user activity, potential attacks on your network infrastructure, zero-day malware, or ransomware. They also help you to determine the root cause of an attack, which is often complex due to the sheer volume of data involved.

Contextual Visibility

With context added to security events, prioritization and correlation with other types of data become possible. This helps in faster incident response times.

Rapid Time To Value

AI analytics tools require less tuning compared to conventional security analytics tools. They can be immediately put to use in critical areas like user access, web filtering, and endpoint protection.

Tried & Tested

AI-based security solutions are already being used by leading enterprises globally to stay ahead of the competition. The technology has been tested rigorously by companies across various industries including financial services, healthcare, retail, energy, transportation & logistics, etc.

Low Barrier To Adoption

Implementing AI analytics tools is easier compared to conventional security solutions as there is no need for additional hardware or bandwidth investment. The technology integrates seamlessly with existing infrastructure and SIEMs so that you don’t have to make significant changes to your environment.

Scalability & Flexibility

AI-based tools are designed to be highly scalable and flexible. They can handle large volumes of data without slowing down, ensuring that you don’t miss out on the latest threat information.

Get serious about passwords

All the security awareness training in the world won’t matter if agency employees continue to use weak passwords. The first step is for an organization to put a policy that dictates how users create, store and retrieve their passwords under any circumstance as people use personal devices. That’s their weakest link and more than half of the problem behind cyber attacks.

Monitor cloud storage

One of the last steps in increasing security without training is monitoring cloud storage use. Numerous

+file-sharing services can be used for collaboration, but they also allow users to access sensitive data inadvertently. Many agencies fail to enforce policies restricting cloud usage or continuously monitor their systems for unauthorized use despite this fact.

The best way to increase security without spending more on training is to enable cloud usage monitoring software and any related tools that allow the system administrator to track every operation performed on a given file or folder. If this technology is in place, it will be possible for an organization to know whether employees upload sensitive data such as PII to external cloud storage services.

The best way to increase security without training is to enable cloud usage monitoring software and any related tools that allow the system administrator to track every operation performed on a given file or folder. If this technology is in place, it will be possible for an organization to know whether employees upload sensitive data such as PII to external cloud storage services.

Conclusion

In the digital age, businesses face a huge risk of data breaches. This is why it’s so important to increase security and protect your business from potential hackers. One way that businesses can do this without spending more on training is by using AI analytics tools. These tools help companies monitor their networks and identify any potential vulnerabilities in security measures before they become problems.

By using a combination of authentication factors, password management policies, admin access control limitations, and cloud monitoring tools, agencies can significantly improve their overall security posture. Kick employee training while teaching employees to enhance physical security without spending much.

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