Despite growing concerns among business leaders and consumers about the new security threats posed by AI, cybersecurity professionals are eager to gain AI-enabled tools to defend against bad actors. This evolving dynamic around AI requires both business leaders and IT organizations to think critically about new considerations about security and risk.
Commands and risks of AI
With the promise of enormous improvements in productivity and efficiency, the power of decision-making in automated data knowledge and the implications of AI have changed many, if not most, business areas, and business investments in AI are still growing. This includes spending on equipment, infrastructure, solutions and services as well as resource allocation in designing, implementing and managing proof of concept and new use cases as a path for enterprises to draw paths.
While the future of computing is intelligent, adaptive and secure, the pursuit of more and more AI applications is driving new considerations and increasing sensitivity around data privacy and network security. With AI’s rapid impact, impacting growth and competitiveness, many IT leaders are evaluating solutions that best mitigate vulnerability and manage risk.
AI, satisfying network security (and vice versa)
The adoption of AI introduces or adds a range of risk considerations for security organizations, including but not limited to data privacy and security, ethical model development, and corporate governance. Management of AI is essential for reliable and responsible data security and privacy. As AI-enabled capabilities proliferate, businesses must adopt a comprehensive security approach, while business leaders ensure their organizations’ cybersecurity infrastructure stays pace. This includes addressing the risks of all models: on-device, local and cloud-based, and considering an evolving regulatory environment.
With understanding people rather than technology being the most critical part of any security system, organizations need to build a better safety culture, the biggest element in improving safety posture. Employees must be equipped with training, support and protocols to maintain constant awareness of the nature of threats and the nature of defense attacks.
When AI PCs are introduced to the market, they provide increased productivity, predictive experience and intelligent decision-making. These new smart devices are showing exciting evolution in the information age, with great potential in everything from mundane tasks like ordering air tickets to incredible complexes, cancer research and drug development.
However, enabling AI also presents new potential risks – for example, with a lot of data stored on a single device, and attackers may find them a particularly attractive target, an access point for sensitive data and even the AI model itself. Baseline recommendations and security organizations about IT PCs include:
- Implement device-level encryption and secure boot mechanisms to help prevent physical access to proprietary data or AI models,
- Use differential privacy technologies to protect individual data points and ensure that user data is not reconstructed,
- Regularly update and patch on-machine models to keep the attacks increasingly complex.
AI is an ally
As AI adoption presents new challenges and potential risks, it also plays a crucial role in enhancing cybersecurity. AI PCs can achieve greater security, for example by running models and processing data on devices instead of transferring them to a data center or cloud. At the enterprise level, AI helps improve security protocols by enabling enhanced security through automated AI. For example, AI is used to create personalized profiles for behavioral analytics to help mitigate employee risk exposure. Its efficacy in reviewing security logs helps enhance advanced threat detection and can generate comprehensive security status reporting and automatic response to cyber threats. Additionally, a Genai-powered support delivery platform can help you with vacancies and ensure your environment is safe.
Safety by design
The command rate of AI is now more important than ever, and it is important that business leaders and teams understand and practice the principle of “security by design” where possible, which means that the technology solutions and their systems for service are Somehow building this can reasonably protect malicious actors from access to the infrastructure of devices, data and connections. Last year, the Cybersecurity and Infrastructure Security Agency (CISA) announced design-assured security, which has since been adopted by hundreds of companies, including Lenovo. This commitment creates a framework for enterprise software product and service developers to prioritize customer security as a peak business requirement.
At Lenovo, we are fully committed to internal security, as well as the solutions and products we provide to our customers. Long-time Lenovo supporters are built with embedded security to consider security outcomes, design protections throughout the solution lifecycle, including transparent/security supply chains to help defend above and below the OS – BIOS, for example attack).
Through Lenovo Thinkshield portfolio of Lenovo’s cybersecurity solutions, we selectively work with top-notch, like-minded security vendors such as Sentinelone, which uses patented behavioral AI to provide real-time prevention, ActiveEdr, IoT Secivetr and Iot Security and Cloud Workload Protection. As part of the collaboration, Lenovo will also use Sentinelone’s Singularity platform as its basis, using AI and EDR capabilities to build new managed detection and response (MDR) services.
Business leaders and cybersecurity teams must make strategic decisions about a positive and comprehensive approach to AI and cybersecurity. The goal of an enterprise should be to establish clear security and resilience advantages by using smart devices that help defend themselves in real time. Ultimately, supporting AI support tools with a culture of security awareness will gain better defense capabilities.
