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A study by Capgemini Research Institute shows that new cybersecurity risks are emerging; Due to the proliferation of AI and generative AI (Gen AI), a transformation of cyber defense strategies is necessary to predict, detect and respond to threats.
Two-thirds of organizations are currently prioritizing the use of AI in their cybersecurity operations.
According to the study, while organizations view AI as a technology with strategic importance in strengthening their cybersecurity strategies, the widespread adoption of Gen AI across a wide range of industries leads to increased vulnerability. Generative AI poses three major risk areas for organizations: more sophisticated attacks from a larger number of actors, a growing attack surface, and the increase in vulnerabilities throughout the lifecycle of individual gene AI solutions. Misuse of AI and generative AI by employees exacerbates the situation and can significantly increase the risk of data leaks.
“The use of AI and Gen AI is a double-edged sword: on the one hand, it creates previously unknown risks; on the other hand, organizations can detect cybersecurity incidents faster and more precisely through AI. Intelligent tools help IT security teams avert attacks, further develop their strategies and constantly monitor the security landscape in the constant threat situation. What is crucial is the right infrastructure for data management, suitable frameworks and ethical guidelines for integrating AI, as well as the human factor. Training and awareness programs for employees are part of everyday life,” says Mete Boz, cybersecurity expert at Capgemini in Germany.
Two thirds of organizations fear a greater risk
Nearly all organizations surveyed (97 percent) reported security breaches or issues related to the use of generative AI in the past year. Gen AI also poses new risks such as hallucinating and generating biased, harmful or inappropriate content, as well as prompt injection attacks. Two in three organizations (67 percent) fear data poisoning and the loss of sensitive data across datasets used to train Gen AI models.
The ability of generative AI to generate highly realistic synthetic content also poses new risks: More than two in five of the organizations surveyed (43 percent) say they have suffered financial losses as a result of a deepfake attack.
Almost 6 in 10 companies believe it is necessary to increase their cybersecurity budget in order to strengthen their defenses accordingly.
AI and Gen AI essential for attack detection and response
The survey of 1,000 organizations considering or already using AI for their cybersecurity shows that most are doing so to strengthen their data, application and cloud security. Thanks to this technology, they can analyze huge amounts of data in a very short time, recognize patterns and predict potential security breaches.
Since integrating AI into their security operations centers (SOCs), more than 60 percent of respondents have reduced the time to detect attacks by at least 5 percent; nearly 40 percent noted a reduction in security incident resolution times of at least 5 percent.
Three out of five organizations surveyed (61 percent) view AI as essential to effective threat response, enabling them to implement proactive security strategies against increasingly sophisticated attackers. In addition, the same proportion of respondents assume that Gen AI will enable them to implement proactive defense strategies in the long term and identify threats more quickly. More than half of them also believe that this technology will make it easier for cybersecurity analysts to focus more on strategies to combat complex threats.
(pd/Capgemini)
* **How can organizations effectively mitigate the risk of data poisoning attacks enabled by Generative AI, while still leveraging its benefits for security purposes?**
## World Today News – Cybersecurity in the Age of Generative AI
**Introduction**
Welcome to World Today News. Today, we’re diving deep into the evolving world of cybersecurity in the era of Generative AI.
Joining us are two distinguished experts:
* **Dr. Emily Carter**, Chief Security Officer at a leading technology firm, and
* **Dr. David Chen**, an AI Ethics researcher at a renowned university.
We’ll be discussing the findings of a recent Capgemini study which highlights both the opportunities and challenges posed by Gen AI for cybersecurity.
**(Transition music)**
**Section 1: The Double-Edged Sword of Generative AI**
**(Host)**
The Capgemini study paints a complex picture of Generative AI. Dr. Carter, based on your experience in the field, how do you see the current landscape? Do you agree with the study’s assessment that Gen AI is both a boon and a bane for cybersecurity?
**(Dr. Carter)**
**(Response from Dr. Carter, discussing the dual nature of Gen AI in cybersecurity, providing real-world examples)**
**(Host)**
Dr. Chen, from an ethical standpoint, are there particular concerns surrounding the use of Generative AI in security, especially considering its potential for misuse?
**(Dr. Chen)**
**(Response from Dr. Chen, highlighting ethical considerations associated with Gen AI in cybersecurity, discussing potential biases, data privacy concerns, and the need for responsible development and deployment)**
**(Host)**
Is there a way to harness the benefits of Gen AI while mitigating the risks?
**(Transition music)**
**Section 2: The Growing Threat Landscape**
**(Host)**
The study reveals a concerning statistic: nearly all organizations surveyed reported security breaches or issues related to Gen AI. Dr. Carter, what are some of the most worrying trends you’ve observed in this area?
**(Dr. Carter)**
**(Response from Dr. Carter, elaborating on specific Gen AI-related threat types like data poisoning, deepfake attacks, prompt injection attacks, providing real-world examples)**
**(Host)**
Dr. Chen, how can we ensure that the development and deployment of Gen AI solutions prioritize security from the outset?
**(Dr. Chen)**
**(Response from Dr. Chen, proposing solutions like robust testing frameworks, ethical guidelines for development, and the need for international collaboration in setting standards for secure Gen AI)**
**(Host)**
**(Transition music)**
**Section 3: The Future of AI-Powered Cybersecurity**
**(Host)**
Despite the challenges, there’s hope. The study suggests that two-thirds of organizations are prioritizing AI in their cybersecurity strategies. Dr. Carter, what are some promising advancements you see in AI-powered defenses?
**(Dr. Carter)**
**(Response from Dr. Carter, discussing advancements like behavioral analysis, anomaly detection, threat intelligence platforms powered by AI, and the role of automation in incident response)**
**(Host)**
Dr. Chen, looking towards the future, how can we ensure that AI remains a force for good in cybersecurity, empowering us to stay ahead of the evolving threat landscape?
**(Dr. Chen)**
**(Response from Dr. Chen, emphasizing the importance of continuous research, collaboration between academia and industry, fostering public awareness about Gen AI risks and opportunities, and advocating for responsible innovation)
**(Host)**
Thank you both for sharing your valuable insights.
**(Closing remarks by the host, summarizing key takeaways and emphasizing the need for a proactive approach to cybersecurity in the age of Generative AI)**
