One third of British companies suffer from an alarming vulnerability to risks related to artificial intelligence. CyXcel’s study reveals a worrying landscape: many organizations ignore the potential dangers posed by these technologies. The trend toward adopting *AI-based* solutions fosters data leaks, leading to devastating consequences. Companies must now question their governance practices in the face of these omnipresent threats.
Risks of Artificial Intelligence
A study conducted by cybersecurity firm CyXcel highlighted that 29% of British companies surveyed have recently begun to implement a risk management strategy related to artificial intelligence (AI). Meanwhile, 31% have not established any governance policy regarding AI. This situation reveals a considerable gap in the preparation of companies facing the potential risks that AI may pose.
Cybersecurity Concerns
Despite this recent implementation, one third of companies recognize AI as a potential threat to cybersecurity. The combination of the lack of robust policies and the late recognition of dangers exposes these organizations to data leaks, operational disruptions, as well as regulatory sanctions. An obvious incongruity emerges between the desire to adopt AI solutions and the anxiety generated by their associated risks.
Vulnerabilities to AI
Research indicates that 18% of organizations based in the UK and the US are poorly prepared to handle AI data poisoning, a type of attack targeting the training data of AI and machine learning models. Furthermore, 16% of companies have no appropriate measures to address cloning and deepfake incidents. These statistics highlight the deficiencies in preparation and defense.
Responses to Threats
Megha Kumar, Chief Product Officer at CyXcel, highlights a dilemma faced by companies. Although they wish to adopt AI, their concerns about the risks are palpable. He states that CyXcel’s digital risk management (DRM) platform helps counter these growing threats. This platform provides a robust tool for clients to proactively manage their digital risks and leverage AI with confidence.
Features of the DRM Platform
CyXcel’s DRM platform is designed to provide companies with an overview of the evolving risks associated with AI. It relies on combined expertise in cybersecurity, legal, technical, and strategic aspects, enabling effective threat management. Companies can establish governance policies and procedures that mitigate potential risks. The legal and technical advice integrated into the system helps users identify trends and assess the potential impact of risks.
Regulatory Compliance
CyXcel also offers a dispute resolution service covering all legal issues surrounding cybersecurity, specifically targeting 26 sectors subject to strict regulations, such as the EU NIS2 and DORA. These sectors are classified as critical national infrastructures, underscoring the importance of adequate compliance in an increasingly complex world.
Evolution of Regulations
Edward Lewis, CEO of CyXcel, addresses this evolution of cybersecurity regulations. According to him, governments worldwide are enhancing the protection of critical infrastructures through legislation such as the EU Cyber Resilience Act. This legislation imposes security measures such as automatic updates and incident reporting, a necessity in the face of rising digital threats.
CyXcel itself faces the same digital risks as its clients, demonstrating the need for heightened vigilance in the sector. The DRM platform is an essential tool for all companies navigating this uncertain landscape from both a business and legal perspective.
To learn more about the challenges and opportunities of emerging technologies, a range of events like the AI & Big Data Expo is on the horizon, drawing attention to the link between technological innovation and cybersecurity.
Frequently Asked Questions About Artificial Intelligence Risks According to a CyXcel Study
What are the main risks associated with artificial intelligence for British companies?
The risks include data leaks, security breaches, operational interruptions, and regulatory fines. These threats often result from insufficient preparation in the face of the adoption of AI technologies.
What percentage of British companies has implemented a risk management strategy related to AI?
According to the study, only 29% of British companies have recently implemented their first AI-related risk management strategy, leaving a certain percentage unprepared to face these challenges.
What forms of AI-related attacks should companies be wary of?
Companies should be wary of AI data poisoning, which targets the training data of machine learning models, as well as incidents related to cloning and deepfakes.
What percentage of organizations are currently unprepared to face AI data poisoning attacks?
18% of organizations, both British and American, are considered unprepared to handle incidents of AI data poisoning.
How does the absence of governance policies on AI affect the security of companies?
Without governance policies in place, companies are particularly vulnerable to digital risks, increasing their exposure to AI-related threats and making it difficult to manage malicious incidents.
How can CyXcel’s digital risk management (DRM) platform help companies?
CyXcel’s DRM platform provides robust tools for proactive digital risk management, combining cyber, legal, and strategic expertise to better assess and counter AI-related threats.
What types of advice can companies obtain through the DRM platform?
Advice includes strategies for managing AI-related risks, cybersecurity, supply chain, geopolitics, regulations, technology, and corporate responsibility, accessible via an easy-to-use dashboard.
What regulations should companies related to AI be aware of?
Companies must comply with various laws, including the EU NIS2 and DORA (Digital Operational Resilience Act), which impose security requirements for critical infrastructures.
How do legislative changes in cybersecurity affect companies using AI?
Legislative changes, such as the EU Cyber Resilience Act, impose stricter security measures, including automatic updates and incident reporting, increasing the pressure on companies to adopt robust risk management strategies.
What is the importance of risk management in artificial intelligence for a company’s reputation?
Effective risk management related to AI is crucial to avoid substantial fines and reputational damage, as companies that do not comply with regulations may face significant legal and commercial consequences.
