- TransNumerik
- 18/02/2025
CYBERSECURITY AND AI: A WINNING DUO AGAINST THREATS
The origin of cybersecurity dates back to the early days of computing and networks in the 1970s, marked by the appearance of the first harmless virus in 1974. Half a century later, IT threats have evolved significantly.. Cyberattacks, increasingly sophisticated, make the protection of data and systems ever more complex. Faced with this growing threat, Artificial Intelligence (AI) is emerging today as a promising solution to strengthen cybersecurity.
Moreover, according to an IBM survey in 2024, surveyed companies that have deployed large-scale prevention workflows integrating AI have, on average, reduced the costs of breaches by 2.2 million USD compared to those whose workflows do not use AI.
In the face of increasing cyberthreats, data, and attack surfaces, AI enhances the effectiveness of security teams by:
- Detecting critical threats faster
- Simplifying reporting
- Identifying vulnerabilities
- Helping analysts develop their skills
- Providing threat analysis and insights.
Here are some common use cases of AI in security:
Identity and Access Management
AI is used for Identity and Access Management (IAM) to understand user login behavior patterns and detect abnormal behaviors. It can prevent a user from logging in if there is reason to believe that an account has been compromised.
Endpoint Security and Management
AI helps identify all endpoints used within the organization and keep them up to date. It can also help discover malware and other evidence of a cyberattack.
Cloud Security
AI helps teams gain visibility into risks and vulnerabilities in their multi-cloud environment.
Threat Detection
XDR (Extended Detection and Response) and SIEM (Security Information and Event Management) solutions rely on AI to detect cyber threats.
- XDR monitors endpoints, emails, identities, and cloud applications, reports anomalies, and automatically responds according to defined rules.
- SIEM gathers enterprise signals using AI, providing better visibility into activities.
Information Protection
Security teams use AI to identify and label sensitive data. AI can also help detect when someone attempts to move data outside the company and either block the action or report the issue to the security team.
Incident Investigation and Response
AI helps identify and correlate the most useful events across multiple data sources, saving professionals valuable time. Generative AI further simplifies investigations by translating analysis into natural language and answering questions, also in natural language.
Integrating AI into security operations requires rigorous planning, but with the right approach, it can significantly improve operational efficiency and team well-being. Here are some recommendations:
- Develop a strategy
- Integrate your security tools
- Manage data privacy and quality
- Continuously test your AI systems
- Use AI ethically
- Define policies for the use of generative AI
AI benefits both defenders and cyber attackers. The latter use it to crack passwords, create ultra-realistic phishing campaigns, or develop nearly undetectable malware. Faced with these growing threats, it is crucial that the security community invests in AI to stay ahead.
To prepare for future AI-based cyberattacks, it is essential to integrate this technology into security operations now, starting with a strategy and investing in tools adapted to current challenges.
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