AI is great at both. hto fold my arms and protect In the context of cybersecurity. As with any new technology development, the benefits of properly and successfully using AI come with the need to protect information and prevent misuse.
Using AI for good – key themes of the European Union Cybersecurity Agency (ENISA) guidance
ENISA has been issued series of reports Early last year, we focused on AI and cybersecurity risk mitigation.1 Here we explore the main themes raised and offer some thoughts on how AI can be used to your advantage*.
Strengthen cybersecurity with AI
Womble Bond Dickinson’s 2023 Global Data Privacy Law Survey found that half of respondents already use AI in daily business activities, from data analysis to customer service assistance, product recommendations, and more. I answered. But alongside day-to-day operations, AI’s “ability to detect and respond to cyber threats and the need to protect AI-based applications” will also be important. When used correctly, it can be a powerful tool to defend against cyberattacks. In one report, ENISA recommended a multi-layered framework that guides the operational process for readers to follow by combining existing knowledge and best practices to identify missing elements. A step-by-step approach to good practices aims to ensure the reliability of cybersecurity systems.
AI leverages machine learning algorithms to detect both known and unknown threats in real-time, continuously learning and scanning for potential threats. Cybersecurity software without AI can only detect known malicious code, making it inadequate against more advanced threats. By analyzing malware behavior, AI can pinpoint specific anomalies that standard cybersecurity programs may miss.deep learning based programs Noifuzz is considered to be a highly advantageous platform for vulnerability search compared to standard machine learning AI, demonstrating the rapidly evolving nature of AI itself and the products offered.
A key recommendation is that AI systems should be used as an addition to existing ICT, security systems, and practices. Businesses need to recognize their ongoing responsibility to implement effective risk management while assisting with AI for further mitigation. This report does not set new standards or legal boundaries, but rather highlights the need for targeted guidelines, best practices, and foundations to support cybersecurity and, by extension, the credibility of AI as a tool. Masu.
Cybersecurity management must consider accountability, accuracy, privacy, resilience, safety, and transparency, among other things. Relying on traditional cybersecurity software is no longer enough, especially when AI can be easily implemented to prevent, detect, and mitigate threats such as spam, intrusions, and malware detection. Although traditional models exist, ENISA Highlights Usually they are targets or “It becomes increasingly difficult for users to determine which one is most appropriate to adopt/implement” to “address specific types of attacks.” The report highlights that companies need to have an existing foundation of cybersecurity processes that can work with AI to uncover additional vulnerabilities. A collaborative network of traditional methods and new AI-based recommendations allows businesses to best prepare for the ever-evolving nature of malware and technology-based threats.
In the United States, in October 2023, the Biden administration issued an executive order that had a significant impact on data security. Among other things, the executive order requires developers of the most powerful AI systems to share safety testing results with the U.S. government and creates guidance on content authentication and watermarking to help the government clearly label AI-generated content. , and requires the government to establish guidelines. Advanced cybersecurity programs to develop AI tools and remediate vulnerabilities in critical AI models. The order is the latest in a series of AI regulations aimed at increasing the reliability and safety of models developed in the United States.
Implementing security by design
A security-by-design approach focuses on security protocols from the basic building blocks of the IT infrastructure. Privacy-enhancing technologyWhile we support security through design structures, including AI, to enable businesses to effectively integrate the safeguards needed to protect their data and processing activities, there is no “silver bullet” for meeting all requirements under data protection compliance. ” should not be considered as such.
This is especially true for start-ups in the early stages of developing or implementing cybersecurity procedures, as envisioning a project built around security by design requires less effort than adding security to an existing project. most effective for businesses and companies. However, the number of businesses leveraging AI is rapidly increasing. For example, more than one in five survey respondents (22%) started using AI in the past year alone.
However, existing structures should not be ignored, and adding AI to current cybersecurity systems should improve functionality, processing, and performance. This is evidenced by AI’s ability to analyze large amounts of data at high speed and provide clear and detailed assessments of key performance indicators. This high-level, fast analysis allows businesses to offer customized products and improve accessibility, resulting in a smoother retail experience for consumers.
risk
Although AI has many benefits, it is by no means a perfect solution. Because machine learning AI operates based on what it is instructed to do based on its programming, its results can reflect unconscious biases in its interpretation of data. It is also important that companies comply with regulations (if it applies) EU GDPR, Data Protection Act 2018, anticipated artificial intelligence legislation, general consumer duty principles and more.
cost advantage
In addition to reducing the cost of reputational damage caused by cybersecurity incidents, it is estimated UK companies using some form of AI in their cybersecurity management are reported to have reduced costs associated with data breaches by an average of £1.6m. It has also been found that using AI or automated responses within a cybersecurity system reduces average time.Life cycle violation” That’s down to 108 days, saving you time, money, and critical business resources. Further development of penetration testing tools with a specific focus on AI is needed to investigate vulnerabilities and assess behavior. This is especially important when personal data is involved, as the integrity and confidentiality of the company is at risk.
Advance
While AI can be used to our advantage, it should not be seen as a complete replacement for existing or traditional models for managing cybersecurity. While AI is a great long-term assistant that saves users time and money, you can’t rely on it alone to make decisions directly. Ensuring a secure IT infrastructure is critical during the transition from legacy systems. As WBD suggests in his 2023 report, establishing governance frameworks and controls around the use of AI tools is critical to data protection compliance and an effective cybersecurity framework.
Despite suggestions that AI’s reputation is in decline, it is a powerful and evolving tool that not only improves business approaches to cybersecurity and privacy, but also analyzes data to help examine behavior and trends. may be useful for prediction. Although AI needs to be used with caution, it can have immense benefits if used correctly.
If your company is considering implementing AI tools or has already begun this integration, WBD has a dedicated digital team that will work with your current workforce to ensure AI is integrated into your business practices. We help implement policies and procedures to ensure they are implemented.
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* Although some of the ENISA commentary focuses on the health and energy sectors, the principles apply to all sectors.