Cybersecurity has become a major issue in an increasingly connected world. With the rise of digital technologies, protecting data and critical infrastructures is crucial for businesses and governments. Explore how artificial intelligence is transforming this sector, the challenges it poses, and the opportunities it offers.
In 2025, cybersecurity in the artificial intelligence (AI) ecosystem emerges as a hot topic, driven by rapid technological developments. Recent revelations from Meta AI, a data-hungry conversational assistant, raise serious questions about the protection of personal data. According to a Surfshark study, Meta AI collects 32 types of data, far beyond the average, highlighting risks related to the confidentiality and security of sensitive information. Meta's massive data collection, often without explicit user consent, raises concerns about compliance with regulations such as GDPR, especially as Meta plans to expand this practice in Europe. These concerns are amplified by cybersecurity experts like Adrianus Warmenhoven from NordVPN, who criticizes the opacity of Meta AI's integration into Meta's digital platforms.
Simultaneously, the cybersecurity landscape sees initiatives emerging to strengthen the security of AI systems against increasingly sophisticated threats. The "Securing AI" challenge, orchestrated by the Cyber Defense Command and the Defense Innovation Agency, illustrates the urgency to secure AI models, particularly in the military domain. Start-ups like PRISM Eval, with its BET Eval tool, stand out by testing the behavioral flaws of LLMs (large language models). Meanwhile, CEA-List is developing tools to secure visual models against subtle attacks, demonstrating a proactive approach to anticipate and counter vulnerabilities. These efforts highlight the need to develop robust solutions against the new attack surfaces offered by AI.
The convergence between AI and cybersecurity is also highlighted at events like Cyber-IA Expo 2025, which aims to turn current challenges into innovation opportunities. This event brings together experts from various backgrounds to address the integration of AI into organizational defense strategies. Discussions focus on the need for effective governance and increased transparency to ensure responsible AI deployment. Emphasis is placed on the importance of collaboration between different actors to develop effective defense strategies against growing geopolitical pressures and economic challenges.
Finally, cybersecurity experts, such as those from Kaspersky, foresee an intensification of AI-based threats, with a rise in sophisticated attacks. Predictions highlight the increasing use of AI by malicious actors to amplify their attacks, notably through the hijacking of open-source models. Threats targeting supply chains and IoT devices are also on the rise, underscoring the urgent need for enhanced cybersecurity. In the face of these challenges, a Capgemini study reveals that while AI is seen as essential to strengthening security, it also exposes new vulnerabilities, requiring increased vigilance and continuous adaptation of security strategies.
Artificial intelligence is revolutionizing cybersecurity by enhancing the ability to detect and respond to threats. AI-based systems analyze vast datasets to identify anomalies and suspicious behaviors in real-time. For example, BlackBerry Cylance solutions use AI to predict and prevent cyberattacks, improving endpoint security. Additionally, AI enables the automation of security processes, reducing incident response times and freeing teams for more strategic tasks.
Despite its advantages, AI introduces new challenges in cybersecurity. Cybercriminals also exploit AI to create more sophisticated attacks. AI models, often perceived as black boxes, pose issues of explainability. It is crucial to understand how these systems make decisions to ensure their reliability. Moreover, protecting the data used to train these models is essential to prevent privacy breaches.
AI offers enormous opportunities to strengthen cyber defenses. It enables the development of innovative solutions, like those proposed by SentinelOne and Google Cloud, which integrate AI to provide advanced cyber defense. Companies can thus benefit from proactive and adaptive protection against emerging threats. AI also facilitates the creation of integrated security platforms, simplifying risk management and improving the efficiency of security infrastructures.
Regulation is crucial to frame the use of AI in cybersecurity. International initiatives, such as the global guidelines for AI security published by the UK and the US, aim to ensure the secure development of AI systems. In Europe, the AI Act establishes strict rules for high-risk AI systems, ensuring transparency and data protection.
Companies like BlackBerry, Thales, and Google Cloud are at the forefront of innovation in cybersecurity. BlackBerry, with its Cylance AI solution, offers advanced predictive protection. Thales strengthens its position in the global market with the acquisition of Imperva, expanding its capabilities in data and application security. These leaders are paving the way by integrating AI to enhance resilience against cyber threats.
AI is changing the cybersecurity job landscape, creating new roles and requiring new skills. Professionals must train in AI and machine learning technologies to stay relevant. Although some traditional positions may disappear, AI also generates new opportunities in data analysis and risk management.
Investing in AI for cybersecurity is strategic for companies wishing to enhance their resilience. Organizations must define clear priorities, allocate adequate budgets, and choose reliable technology partners. Events like Cyber Week Israel highlight the importance of international cooperation to develop innovative and secure solutions.
In the future, cybersecurity will continue to evolve with AI playing a central role. Technological advances will allow better anticipation of threats and strengthening of defense systems. However, it will be crucial to maintain a balance between innovation and privacy protection, while developing appropriate regulatory frameworks to ensure the responsible development of AI technologies.
Artificial intelligence is transforming cybersecurity by improving threat detection and response. Thanks to AI, systems can analyze vast datasets in real-time to identify anomalies and suspicious behaviors. For example, solutions like BlackBerry's Cylance AI use AI to predict and prevent attacks, offering proactive protection. The automation of security processes also reduces incident response times, freeing teams for more strategic tasks. However, AI also introduces new challenges, such as model explainability and data protection, which must be addressed to ensure system reliability.
The regulatory issues of AI in cybersecurity include the need to regulate the use of AI technologies to ensure security and data protection. Initiatives like the AI Act in Europe establish strict rules for high-risk AI systems, ensuring transparency and compliance with privacy standards. Internationally, global guidelines, developed by agencies like the UK's NCSC and the US's CISA, aim to guide the secure development of AI systems. These regulations are essential to protect critical infrastructures and ensure the responsible development of AI in cybersecurity.
AI offers numerous opportunities in cybersecurity, notably by strengthening cyber defenses and developing innovative solutions. It enables proactive threat detection through the analysis of large amounts of data, thus improving responsiveness to attacks. Companies like SentinelOne and Google Cloud integrate AI to offer advanced cyber defense, allowing organizations to benefit from adaptive and proactive protection. AI also facilitates the creation of integrated security platforms, simplifying risk management and increasing the efficiency of security infrastructures. These innovations offer a competitive advantage and optimize security processes.
The adoption of AI in cybersecurity presents several challenges, including technical, organizational, and cultural ones. One of the main obstacles is the explainability of AI models, often perceived as black boxes, complicating the understanding of decisions made by these systems. Cybercriminals also exploit AI to develop more sophisticated attacks, requiring constant evolution of security models. Moreover, protecting the data used to train AI models is crucial to avoid privacy breaches. Finally, companies must overcome resistance to change and develop the necessary skills to effectively integrate AI into their cybersecurity strategies.
Among the leaders of AI in cybersecurity are companies like BlackBerry, Thales, and Google Cloud. BlackBerry, with its Cylance AI solution, offers advanced predictive protection against cyberattacks. Thales strengthens its position in the global market with the acquisition of Imperva, expanding its capabilities in data and application security. These companies innovate by integrating AI to enhance resilience against cyber threats. Their proactive approach and technological expertise make them key players in the evolution of cybersecurity, influencing the sector with their advancements and strategic vision.
AI is changing the landscape of jobs in cybersecurity, creating new roles and requiring new skills. Professionals must train in AI and machine learning technologies to remain relevant in this rapidly evolving sector. Although some traditional positions may disappear, AI generates new opportunities, notably in data analysis and risk management. Companies are increasingly seeking experts capable of integrating AI into their security strategies, leading to a growing demand for specialized skills. Professionals must adapt to these changes to take advantage of the opportunities offered by AI.
The perspectives for the evolution of cybersecurity with AI are promising, with technological advances allowing better anticipation and countering of threats. AI will continue to play a central role in improving defense systems, offering smarter and more adaptive solutions. In the future, it will be crucial to maintain a balance between innovation and privacy protection, while developing appropriate regulatory frameworks to ensure the responsible development of AI technologies. Companies will need to stay at the forefront of technological advancements to enhance their resilience against cyber threats and fully exploit the potential of AI in cybersecurity.
3 articles on AI in this sector
Meta AI is the most intrusive in collecting personal data, surpassing Google Gemini, according to a study by Surfshark. Meta AI collects 32 types of d...
To counter AI attack risks in the military domain, the Cyber Defense Command (COMCYBER) and the Defense Innovation Agency (AID) launched a challenge t...
The deployment of the Meta AI assistant across Meta platforms is gradual but consistent, raising serious transparency and privacy concerns according t...
