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We saw in our previous article that artificial intelligences can be used to facilitate cyberattacks in a variety of ways, and that this type of attack is constantly on the increase. But AIs can also help companies to defend themselves, and thus ensure the security of their networks.

What are the advantages of AI in cybersecurity?

AI offers numerous advantages due to their data processing capabilities, machine learning and potential for analyzing and anticipating threats.

  • Advanced threat detection: AIs can analyze vast quantities of data from a variety of sources in real time to identify patterns and anomalies that could indicate potential attacks or malicious behavior. Thus they can help spot advanced threats that are difficult to detect using traditional methods.
  • Machine learning for adaptation: AIs can continuously learn and adapt to new threats and evolutions in attacks. This means they can constantly update their detection models without requiring constant human intervention.
  • Behavior analysis: AIs can monitor the behavior of users, applications and systems to spot suspicious activity. They can identify actions that deviate from usual behavior, even if they don’t match specific malware signatures.
  • Automatic incident response: AIs can automate certain steps in the response to security incidents. For example, they can isolate parts of the network, block suspicious IP addresses or disable compromised accounts to limit the impact of an ongoing attack.
  • Reducing false positives: AIs can improve detection accuracy by reducing the number of false positives, i.e. incorrect alerts, which can overwhelm security teams.
  • Vulnerability analysis: AIs can help identify potential vulnerabilities in systems by analyzing configurations, source code and data patterns. This enables security teams to correct vulnerabilities before they are exploited.
    Protection against large-scale attacks: AIs can quickly detect large-scale distributed attacks, such as DDoS attacks, and take action to mitigate their impact.
  • Log and data management: AIs can analyze and sort through vast volumes of security logs and incident-related data to identify trends and hidden patterns, making it easier to understand attacks and risks.
  • Training for security professionals: AIs can be used to simulate attack scenarios and training exercises for cybersecurity professionals, helping them gain experience in incident management.
  • Saving time and effort: By automating a number of detection, response and analysis tasks, AI enables security teams to focus on more strategic and complex activities, improving overall cybersecurity efficiency.

How can AI contribute to improved cybersecurity?

AI-assisted systems enable security teams to detect threats faster, and react more quickly to incidents.

So when malicious activity on a particular IP or endpoint is detected, it can automatically and instantly block user access to files.

Here are the main methods used by AI to reinforce network security in companies:

  • Threat and anomaly detection.
  • Identity analysis and fraud detection.
  • Compliance and privacy risk management.
  • Data analysis and categorization.
  • Breach and attack simulation research.
  • Policy automation
    behavioral analysis

While AI can be a powerful tool for strengthening cybersecurity initiatives, it does not replace traditional security approaches. In fact, it works best when used alongside traditional methods: combining AI with authentication, or biometric technology for example, can improve an organization’s defenses. An example might be the implementation of password managers: they automate the creation, updating and advice on the strength of chosen passwords. It is only by combining the two methods that corporate security can, in the age of AI, be truly maintained.

AI helps defenders to detect and identify the real threats in this data through pattern recognition in network traffic, malware indicators and user behavioral trends.

However, it’s important to note that AI is not free from limitations and risks. Adversaries can also use AI techniques to develop sophisticated attacks. Careful and considered use of AI in cybersecurity is therefore essential.

Join us at the beginning of October for our next article, in which we’ll discuss the relationships between the cloud and piracy.

In the meantime, if you have any content to protect – film, series, book, music album or software – please don’t hesitate to contact us. One of our account managers will be happy to help you find the formula best suited to your needs. We’ve been pioneers in cybersecurity and intellectual property protection for more than a decade, and our experts are here to help you protect your intellectual property.

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