Unite.AI 02月13日
Considering the Convergence of Cybersecurity and AI
index_new5.html
../../../zaker_core/zaker_tpl_static/wap/tpl_guoji1.html

 

随着AI技术的快速发展,网络安全领域正面临着前所未有的机遇与挑战。一方面,AI驱动的网络安全威胁日益增长,另一方面,网络安全专业人员也渴望利用AI工具来防御恶意攻击。企业在追求AI带来的生产力提升的同时,必须高度关注数据隐私、安全以及伦理模型开发等风险因素。通过采用“安全设计”原则,构建强大的安全文化,并借助AI赋能的安全工具,企业可以有效应对不断演变的威胁,实现更高级别的安全防护。

🛡️AI技术在网络安全领域的作用日益凸显,既带来了新的安全威胁,也为防御提供了新的手段。企业需要认真权衡AI带来的机遇与风险,制定全面的安全策略。

💻AI PC的出现为企业带来了更高的生产力,但也带来了新的安全风险。攻击者可能会将AI PC作为访问敏感数据和AI模型的入口点。因此,企业需要采取设备级加密、安全启动机制以及定期更新等措施来保护AI PC的安全。

🤖AI在增强网络安全方面发挥着重要作用。AI可以实现自动化数字防御,例如,通过创建个性化的行为分析配置文件来降低员工风险。此外,AI还可以用于审查安全日志,从而增强威胁检测能力,并生成全面的安全态势报告和自动化网络威胁响应。

🤝企业应积极采用“安全设计”原则,在技术解决方案和系统中构建合理的保护措施,以防止恶意行为者访问设备、数据和连接的基础设施。联想等公司已承诺将客户的安全放在首位,并在产品和解决方案中嵌入安全性。

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

The AI Imperative and Risk

With the promise of significant productivity and efficiency gains, the power 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 new use cases as businesses chart paths forward.

While the future of computing is intelligent, adaptive and secure, the pursuit of increasing numbers of AI applications is driving new 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 will best mitigate vulnerabilities and manage risk.

AI, Meet Cybersecurity (and vice versa)

The adoption of AI introduces or heightens a range of risk considerations for security organizations, including but not limited to data privacy and security, ethical model development, and corporate governance. The stewardship of AI is critical to the reliable and responsible safeguarding of both 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 people, not technology, are the most critical piece of any security system, organizations need to build better security cultures as the biggest element to improving security postures. Employees must be equipped with the training, support and protocols to maintain constant awareness of the nature of threats and defense against attacks.

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

However, on-device AI also presents new potential risks – for example, with so much data stored on a single device, attackers may find them an especially appealing target as an access point to sensitive data and even the AI models themselves. Baseline recommendations about AI PCs for IT and security organizations include:

AI as Ally

As AI adoption presents new challenges and potential risks, it is also playing a vital role in enhancing cybersecurity. AI PCs can enable greater security, for example, reducing exposure by running models and processing data on the device rather than transferring it to a data center or cloud. At the enterprise level, AI is helping advance security protocols through enhanced security via automated AI-enabled digital defenses. For example, AI is being used to create personalized profiles for behavioral analytics to help mitigate employee risk exposure. Its efficacy in reviewing security logs helps bolster advanced threat detections and can generate comprehensive security situation reports and automated responses to cyber threats. Additionally, GenAI-powered support delivery platforms can help manage critical tasks pre-emptively and keep environments secure.

Secure by Design

The AI imperative means now more than ever, it is 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 built in a way that reasonably protects against malicious actors gaining access to devices, data, and connected infrastructure. Last year, the Cybersecurity and Infrastructure Security Agency (CISA) announced the  Secure by Design Pledge which has since been adopted by hundreds of businesses, including Lenovo. The pledge establishes a framework for enterprise software products and services developers to prioritize the security of customers as a pinnacle business requirement.

At Lenovo, we are fully committed to security both internally, and in the solutions and products we provide 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 solution 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 such as SentinelOne which uses patented behavioral AI to deliver fortified real-time prevention, ActiveEDR, IoT security and cloud workload protection. As part of the collaboration, Lenovo will also build a 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 should be to build a clear security and resiliency advantage by using intelligent devices that help defend themselves in real time. Ultimately, AI-enabled tools that support security-minded cultures will achieve better defenses.

The post Considering the Convergence of Cybersecurity and AI appeared first on Unite.AI.

Fish AI Reader

Fish AI Reader

AI辅助创作,多种专业模板,深度分析,高质量内容生成。从观点提取到深度思考,FishAI为您提供全方位的创作支持。新版本引入自定义参数,让您的创作更加个性化和精准。

FishAI

FishAI

鱼阅,AI 时代的下一个智能信息助手,助你摆脱信息焦虑

联系邮箱 441953276@qq.com

相关标签

AI 网络安全 安全设计 AI PC
相关文章