How AI Should Not Be Used in The Security Industry

The early 2000s saw the introduction of Artificial Intelligence (AI). Over time, we have witnessed the potential of this technology. AI has given individuals in the tech industry a world of opportunity, from chess-playing machines to self-driving cars to medical solutions. Basic tasks can be automated, resulting in higher productivity, lower costs, and more time that can be used for other corporate operations.

Soon, we'll witness operational autonomous vehicles, robot servers, and AI recruiters for employment. Developers of AI in the security industry sector also hope the technology can improve defense systems and lower the risk of human error. In addition, many organizations consider AI as the ideal way to fight cybercriminals, as sophisticated and massive cyberattacks have become a global problem. Adopting AI in business operations has significant advantages, but more about these technologies' drawbacks need to be published. Let’s dig deeper into this topic.

What exactly is AI?

AI is a term used in data science to describe a fully developed artificial brain. It is a self-aware intelligence housed in a machine that can learn, reason, and understand. Without assistance from a human operator, it can also expand its knowledge.

AI research aims to develop an intelligence that can comprehend its environment, gather inputs, and learn new skills due to its experiences. While we're still some years away from this kind of genuine AI, data scientists have made significant advancements in many fields of study, including machine learning.

Role of AI in the security industry

Artificial intelligence's (AI) main purpose is to mimic human intelligence, which has great potential in the security sector. If used properly, AI systems can be taught to recognize dangers, recognize novel malware types, and protect sensitive data, which could be very helpful.

According to TechRepublic, a team of human experts can only reasonably handle some of the approximately 300,000 notifications for cyber events that mid-sized businesses receive each day.

As a result, some threats are likely to go undetected, causing serious network damage. Companies that want to flourish in the digital age must rely on AI and other cutting-edge technology to strengthen their cybersecurity defenses to overcome these obstacles. Below are the major reasons why AI should not be considered in the security industry.

However, before diving deep into it, let's explore a few benefits of AI in the security sector.

Benefits of AI in the security industry

Increased precision and efficiency

AI-based cyber security systems are more accurate and effective than conventional solutions, allowing for more precise detection of harmful activities.

Scalability and cost savings improvements

AI-driven technologies can automate security chores, spot risks faster, and reduce the cost of protecting against online attacks, making them scalable and cost-effective.Furthermore, AI security cameras like Protex AI are network IP cameras that offer more advanced analytical functions, including vehicle detection and face detection. This is why many businesses choose AI-powered IP CCTV cameras when it comes to choosing between IP camera vs analog models.

Securing authentication

AI provides a security layer to detect fraudulent login attempts and prevent credential stuffing and brute-force attacks.

Risks of using AI in the security industry

Artificial intelligence (AI) systems are frequently praised for their quick processing of massive data volumes and their ability to spot patterns that people would overlook. However, there are several crucial reasons why AI cannot replace the human mind in cyber security operations and should not be considered.

Racism and biases

The potential for bias and discrimination in AI systems can result in unfair or even harmful outcomes for people. Ensuring AI systems are trained on various data and constantly reviewed to avoid bias is crucial. Protecting personal information and the right to privacy are typically seen as separate problems. Public records, social media posts, and internet activity are just a few examples of the data sources that AI systems use. These sources have a lot of life-related information to provide.

Lack of innovation and creativity

Cyber security analysts must think outside the box to spot emerging cyber threats and devise novel ways to counteract them. Yet, at the same time, AI systems cannot create original notions.

Difficulty in formulating moral judgments

Cyber security is difficult, given the enormous stakes and lack of obvious right or wrong answers. Moreover, machines cannot make moral judgments because they lack an understanding of human values.

Inadequate emotional intelligence

AI lacks emotional intelligence and empathy, which are necessary for cyber security professionals to comprehend human behavior and make the right choices. Security analysts can defuse situations and stop them from escalating with the aid of emotional intelligence.

High price

It can be expensive to implement AI-based security systems, especially for small and medium-sized enterprises that need more financial resources.

Automatic weapons

AI systems have the potential to create autonomous weapons, make choices, and operate without human supervision. This may lead to questions concerning such weapons' moral and legal ramifications.

High rate of data misuse techniques

Artificial intelligence (AI) can be abused by unscrupulous actors, who might produce phony photos and films that propagate false information or sway public opinion. Moreover, Artificial Intelligence can also be used to design complex phishing scams that deceive users into disclosing personal information or clicking on harmful links. Therefore, it's critical to keep vigilance in dealing with these issues to guarantee that AI is utilized morally and responsibly.

To Sum It Up

Due to the constantly changing threat landscape and the need for threat intelligence, security teams typically require more people, which necessitates the use of human resources to make up for it. We can replace humans by leveraging AI and machine learning to automate repetitive tasks. This enables us to expand our cybersecurity operations more quickly and frees up those resources to work on more important tasks.

To ensure optimum performance and outpace attackers, security staff must constantly maintain and monitor AI systems. AI will unquestionably play a big role in the security industry when firms undergo digital transformation. But it can't entirely take the place of people. We require human brains and ingenuity to counter the constantly evolving risks posed by cybercriminals.