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Artificial intelligence at the service of cyber security?

Artificial intelligence at the service of cybersecurity?

The meteoric rise of artificial intelligence (AI) is poised to bring about a radical change in the approach to cybersecurity for organizations. A sad fact established not only by the web development company Maltem, but also for all stakeholders.

With Deep Learning, Big Data, and new tools like GPT Chatattacks and their responses are more precise and convincing than ever. Each year, the level of customization of attacks goes to a new level and increases their chances of success. Hackers have even begun to use AI to accelerate polymorphic malware that, through constant mutation, becomes undetectable. Hackers are using advanced tactics to:

  • Outsmart security and better bypass facial security and spam filters.
  • Promote fake voice commands.
  • Override the anomaly detection engines.

But artificial intelligence can also be used in a variety of ways to improve the security of online businesses. It can be used to detect and block computer attacks in real time, analyzing behavior and identifying anomalies that could indicate malicious activity. It can also be used to manage passwords and other security information more efficiently, using advanced encryption and hashing algorithms. Finally, AI can be used to predict and prevent future security issues by analyzing historical data and identifying trends and patterns that could be exploited by attackers.

Cybersecurity risks in 2023

Ransomware and cyber extortion will remain among the top cyber threats in 2023. As cybercriminals' tactics continue to evolve, they will increasingly focus on data exfiltration rather than encryption for cyber extortion.

In addition, we can count social engineering threats. They represent a risk to cybersecurity that relies mainly on human vulnerabilities. Through social manipulation and trickery, social engineering consists in convincing users to perform an action that will allow the attacker to access sensitive data or a system. These actions may include clicking on a malicious link or downloading a malicious file. As remote work and hybrid enterprise environments become more prevalent, the number of phishing threats is expected to increase in 2023. In addition, attackers are becoming more convincing with the advancement of deepfake technology and the increasing exploitation of international volatility in phishing schemes. Using lures related to international conflicts, such as Russia and Ukraine, or international health crises, such as the COVID-19 pandemic, attackers are using international instability to make their phishing threats more credible and convincing.

The benefits of using artificial intelligence for cybersecurity

1. Management of large volumes of data

For almost all companies that use it, one of the main benefits of AI cybersecurity is its ability to process huge volumes of data efficiently. In addition AI automates the creation of algorithms to detect security threats across a wide range of computer network elements such as:
Emails.
Visited websites.
Third-party software.
Shared files...

2. Recognize new security threats

AI has a faculty known as machine learning, in which it learns and improves through experience. It perceives the normal operation of your computer network and deduces that normal activity is not harmful. In doing so, the AI gains the ability to detect potential threats by discerning abnormal activity.

 

3. 24 hours a day, 7 days a week protection

Artificial intelligence and cybersecurity are an ideal combination for monitoring network security 24/7/365. Hackers don't have normal working hours and their attacks are launched from different time zones. If you want to be aware of malicious elements and network breach attempts in real time, constant monitoring of your computer system is a must.

4. A more sustainable solution

AI-based cybersecurity is programmed to automatically interpret new network activity scenarios, but it does not currently have the capacity to automate indefinitely. Despite this, its current capability suggests that it may not need to be updated as frequently as "fixed" cybersecurity applications, which cannot evolve without receiving updates. If you want a solution that requires updates as infrequently as possible, using an AI-orchestrated solution will likely be your best option.

 

Examples of uses of artificial intelligence for cybersecurity

Web development company Maltem brings you some examples of specific ways AI can be used to improve online security for businesses. One of the most common examples of using artificial intelligence for defense against cyber attacks is the use of machine learning-based threat detection systems. These systems are capable of analyzing enterprise activity in real time and detecting suspicious behavior that could indicate an attack in progress. By using machine learning algorithms, these systems can also adapt and improve over time, making them particularly effective in combating ever-changing threats. In addition, the use of AI can help automate certain incident response tasks, which can help reduce response times and minimize the damage caused by attacks. For example, we can see these mechanisms used during:

  1. Real-time threat detection: Real-time threat detection models use machine learning to continuously analyze network traffic data and identify anomalous behavior that could indicate malicious activity.
  2. Password management: Password managers use AI to generate complex and unique passwords for each account, making dictionary attacks more difficult for hackers.
  3. Security prediction and prevention: Security prediction models use machine learning to analyze historical security data and identify trends and patterns that could be exploited by attackers. This allows companies to better prepare and take steps to prevent future security issues.
  4. Advanced encryption and hashing: Advanced encryption and hashing algorithms can be used to protect sensitive corporate data by making it unreadable to anyone without the appropriate decryption key.

Thus, AI can be used in a variety of ways to improve online security for businesses by:

  • Detecting and blocking attacks in real time.
  • Manage passwords more efficiently.
  • Predicting and preventing future safety problems.
  • Using advanced encryption and hashing algorithms.

The teams Cybersecurity teams of the web development company Maltem can set up defense and protection systems that put artificial intelligence at the service of cybersecurity.