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Can AI in cybersecurity really make a difference?

Businesses must prioritize AI and cybersecurity if they want to remain ahead of the rising cyber threat. Stronger cybersecurity measures are essential when dealing with digital technology and sensitive data since assaults on these systems often result in financial losses.

As per Cybersecurity Ventures, the cost of cybercrime will climb from USD 8 trillion in 2023 to USD 10.5 trillion in 2025. Cybercriminals target vital infrastructure in 51% of their assaults in Southeast Asia, while governments are the target of 49% of them. Just two hours are needed for cybercriminals to access data and roam about, and even nine months later, 78% of devices still lack security updates.

Cybersecurity’s “four Rs and one S”

Four Rs

1. Ransomware: It continues to be the top danger for businesses in Southeast Asia. Businesses continue to face difficulties from ransomware attacks, including issues with identification, device security, and monitoring.

2. Russia: In Russia, the number of hackers has started to increase. There are still certain companies that these hacker groups are targeting, even if Southeast Asia is not one of their primary targets. Hackers from national governments do not desire ransom money. A greater issue is that they are erasing data instead.

3. Remote jobs: Remote jobs are a problem in the area. While some businesses have ordered staff to resume office work, many continue to use remote and hybrid work schedules. Security teams are finding it difficult to maintain device security as a result, especially for those linked to insecure networks. Now, businesses want to integrate cybersecurity into the actual equipment.

4. Regulators: Company compliance with regulatory rules might be difficult. Businesses that operate in several countries must manage their compliance with each country’s regulations. Every country has its own set of regulatory guidelines. Even though most are identical, compliance officer inspections are still needed.

One S

1. Supply chain: While not a major threat, the supply chain is a key area of worry for businesses. Organizations must minimize their footprint to manage supply chain security. This involves evaluating suppliers and providers from a safety standpoint. Companies must verify the accuracy of the data, and third-party vendors and operators must verify their security, notably if they will be handling sensitive data.

Is ChatGPT a cybersecurity concern?

For certain businesses, ChatGPT raises security concerns as well. Several companies have already placed restrictions on how employees can use ChatGPT on company-owned devices. But, according to security leaders, this will not significantly change anything as employees may continue to use ChatGPT on their phones and other devices.

Using AI in Cybersecurity

Artificial intelligence and machine learning are revolutionizing cybersecurity by improving the research, observation, and understanding of cybercrime among security experts. Even so, AI has the potential to be a source that isn’t always useful and to provide hackers with a new tool to use as they improve their abilities and intensify their cyberattacks. Organizations may learn about cyber security issues and threat landscapes with the aid of CEH v12 training.

AI in Cyber Security: Practical Use Cases

Customs agents can identify those who are deceiving by doing security screening. The US Department of Homeland Security has launched a program called AVATAR that tracks users’ facial expressions and body movements. It employs artificial intelligence, machine learning, and big data technologies to identify even the tiniest changes in appearance and movement that can be suspicious. The framework consists of a screen with a virtual face that asks questions about complicated issues. Their responses and speech modulations are observed. The data is compared to features that could suggest that a person is lying. Those that appear suspicious are highlighted for further examination.

The Future of AI Technology in CyberSecurity

Companies must manage vulnerabilities to defend their networks from everyday attacks. To avoid damage, businesses must recognize, analyze, and take the appropriate actions. AI research can aid in the analysis and evaluation of security measures. Artificial neural networks can increase security by learning patterns over time, scanning for similar threats, and detecting and preventing them as soon as they are found. This technology makes it tough for hackers to hack since AI is always improving in different scenarios, making it impossible for them to beat its intelligence.


Mid-sized companies have a high volume of traffic and frequent data transfers, making it critical to protect them from hackers. AI is developing as a critical innovation for IT security, assisting in the detection of threats, the response to incidents, and the differentiation of malware assaults. Besides its shortcomings, AI will propel cyber security forward and assist companies in adopting a more robust security strategy.