Considering the Convergence of Cybersecurity and AI

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While business leaders and consumers have growing concerns over latest security threats empowered by AI, cybersecurity professionals are wanting to get their hands on AI-enabled tools to defend against bad actors. This evolving dynamic around AI is requiring each business leaders and IT organizations to think critically about latest considerations regarding security and risk.

The AI Imperative and Risk

With the promise of great productivity and efficiency gains, the ability of automated data-informed decision making, and the implication of AI transforming many (if not most) areas of business, enterprise investment in AI continues to grow. This includes spend on devices, infrastructure, solutions and services, and resource allocation in designing, implementing and managing proofs of concept and latest use cases as businesses chart paths forward.

While the long run of computing is intelligent, adaptive and secure, the pursuit of accelerating numbers of AI applications is driving latest considerations and heightened sensitivities around data privacy and cybersecurity. With rapid adoption of AI impacting growth and competitiveness, many IT leaders are evaluating solutions that can best mitigate vulnerabilities and manage risk.

AI, Meet Cybersecurity (and vice versa)

The adoption of AI introduces or heightens a spread of risk considerations for security organizations, including but not limited to data privacy and security, ethical model development, and company governance. The stewardship of AI is critical to the reliable and responsible safeguarding of each data security and privacy. As AI-enabled functions proliferate, enterprises must adopt a comprehensive approach to security while business leads ensure their organization’s cybersecurity infrastructure is keeping pace. This includes addressing risk across all modes: on-device, on-premise, and on-cloud, and accounting for evolving regulatory environments.

With the understanding that folks, not technology, are essentially the most critical piece of any security system, organizations need to construct higher security cultures as the most important element to improving security postures. Employees should be equipped with the training, support and protocols to keep up constant awareness of the character of threats and defense against attacks.

As AI PCs are being introduced to the market, they provide increased productivity, predictive experiences and intelligent decision-making. These latest smart devices present an exciting evolution within the Information Age, with enormous potential for assisting humans from the whole lot like mundane tasks, say ordering plane tickets, to the mind-boggling complex, cancer research and pharmaceutical development.

Nevertheless, on-device AI also presents latest potential risks – for instance, with a lot data stored on a single device, attackers may find them an especially appealing goal as an access point to sensitive data and even the AI models themselves. Baseline recommendations about AI PCs for IT and security organizations include:

  • Implement device-level encryption and secure boot mechanisms to assist prevent physical access to proprietary data or AI models,
  • Use differential privacy techniques to guard individual data points and ensure user data isn’t reconstructed,
  • Frequently update and patch on-device models to remain on top of increasingly sophisticated attacks.

AI as Ally

As AI adoption presents latest challenges and potential risks, additionally it is playing an important role in enhancing cybersecurity. AI PCs can enable greater security, for instance, reducing exposure by running models and processing data on the device slightly than transferring it to a knowledge center or cloud. On the enterprise level, AI helps advance security protocols through enhanced security via automated AI-enabled digital defenses. For instance, AI is getting used to create personalized profiles for behavioral analytics to assist mitigate worker risk exposure. Its efficacy in reviewing security logs helps bolster advanced threat detections and may generate comprehensive security situation reports and automatic responses to cyber threats. Moreover, GenAI-powered support delivery platforms may help manage critical tasks pre-emptively and keep environments secure.

Secure by Design

The AI imperative means now greater than ever, it’s critical that business leaders and IT teams know of, and practice where possible, the principle of “Secure by Design” meaning that technology solutions, and the systems they serve, are inbuilt a way that reasonably protects against malicious actors getting access to devices, data, and connected infrastructure. Last yr, the Cybersecurity and Infrastructure Security Agency (CISA) announced the  Secure by Design Pledge which has since been adopted by a whole lot of companies, including Lenovo. The pledge establishes a framework for enterprise software services and products developers to prioritize the safety of shoppers as a pinnacle business requirement.

At Lenovo, we’re fully committed to security each internally, and within the solutions and products we offer customers. A longtime proponent of Secure by Design, Lenovo builds with embedded security, make purchasing decisions with consideration to security outcomes, design protection throughout the answer lifecycle, including a transparent/secure supply chain that helps defend above and below OS – e.g. BIOS attacks).

Through the Lenovo ThinkShield portfolio of cybersecurity solutions, we selectively partner with best-in-class, like-minded security vendors comparable to SentinelOne which uses patented behavioral AI to deliver fortified real-time prevention, ActiveEDR, IoT security and cloud workload protection. As a part of the collaboration, Lenovo can even construct a brand new Managed Detection and Response (MDR) service using AI and EDR capabilities from SentinelOne’s Singularity Platform as its foundation.

Business leaders and cybersecurity teams must make strategic decisions regarding a proactive and comprehensive approach to AI and cybersecurity. The goal of the enterprise must be to construct a transparent security and resiliency advantage through the use of intelligent devices that help defend themselves in real time. Ultimately, AI-enabled tools that support security-minded cultures will achieve higher defenses.

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