Unite.AI 02月05日
From Agentic AI to Ransomware: Six Cybersecurity Trends to Watch in 2025
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2024年网络安全领域经历了诸多挑战与变革,人工智能的飞速发展、云环境的持续扩张以及全球范围内网络安全法规的陆续出台,都对企业的信息安全防护提出了更高要求。展望2025年,数据安全将成为生成式AI应用的核心,DORA法规的影响力将超越金融行业,云端数据安全防护亟待加强,数据安全态势管理的重要性日益凸显,AI代理在提升网络弹性的同时也将带来新的风险,勒索软件的演变将持续造成破坏。企业需要密切关注这些趋势,积极调整安全策略,以应对日益复杂的网络安全威胁。

🔑数据安全将成为生成式AI应用的核心驱动力。随着生成式AI模型对海量数据的需求,数据隐私、机密性和完整性变得至关重要。企业若能提供强大的数据安全措施,将在竞争中占据优势,赢得用户和合作伙伴的信任,并符合欧盟AI法案、GDPR或CCPA等法规的要求。

🛡️DORA法规将扩展至金融服务以外的行业,促进跨行业的网络弹性。DORA最初旨在加强欧洲金融服务机构的IT安全,但其风险管理、事件报告、第三方风险管理和业务连续性管理流程将帮助各行各业应对网络威胁、地缘政治紧张局势和自然灾害。

☁️IT和安全领导者必须加强其在云中的数据安全。随着越来越多的数据迁移到云端,企业必须防范日益复杂的网络威胁。组织需要专注于保护云中的数据,监控风险,并建立在发生攻击时能够恢复数据和应用程序的信心。

🤖AI代理的浪潮将提高网络弹性,并带来新的风险。Agentic AI在自动化威胁检测、提高响应速度和增强弹性方面具有潜力。然而,如果不谨慎实施,agentic AI也会使云中的敏感数据面临风险。需要建立防护措施、设置严格的数据访问策略,并明确传达组织最佳实践。

As 2024 comes to a close, we reflect on a year with hacks, outages, legislation, and rapidly emerging trends that shifted the cybersecurity landscape.

Artificial intelligence (AI) continues to evolve at breakneck speed, with generative and agentic AI pushing organizations to consider its role across every aspect of the business. Meanwhile, new categories emerge to help organizations better manage their data amidst the cloud’s continued expansion and increasingly sophisticated cyber threats. Finally, we’re seeing legislation enacted worldwide to help organizations mitigate risk and maintain cyber resilience.

So what will this lead to in 2025? Read on for six cybersecurity trends Rubrik expects to unfold next year.

1. Data Security will be at the heart of Generative AI adoption

As we look towards 2025, one critical element stands out in the discourse around the adoption and evolution of generative AI: data security. As generative AI models require vast amounts of data to learn and generate content, ensuring this data's privacy, confidentiality, and integrity becomes paramount. Companies that can offer robust data security measures will gain a competitive edge, fostering greater trust among users and partners. This trust translates into market share, as businesses and consumers are more likely to engage with AI solutions that prioritize data protection, aligning with stringent regulations like the EU AI Act, GDPR, or CCPA.

Data security, therefore, isn't just a hurdle for generative AI; it's becoming its driving force. As businesses and consumers alike demand more from AI in terms of capability and security, generative AI's future looks increasingly intertwined with advancements in data protection. By 2025, we predict that data security will not only be a benchmark for success in the AI industry but a deciding factor for trust and broad-scale AI adoption by industry and consumers.

2. DORA will extend beyond financial services, promoting cyber resilience across industries.

The Digital Operational Resilience Act (DORA) was initially enacted to bolster IT security for European financial service institutions. But in 2025, DORA will become more of an operational resilience tool due to its array of processes for risk management, incident reporting, third-party risk management and business continuity management. These processes will help organizations respond to cyber threats, geopolitical tensions, and natural disasters. Indeed, DORA's broader adoption will redefine how all businesses approach operational resilience and continuity in an increasingly unpredictable world, underscoring the urgency of preparation.

AI will become a vital ally in meeting DORA's requirements, revealing new use cases as companies innovate ways to incorporate AI-driven resilience measures in areas like threat detection, response automation, and compliance monitoring. In a landscape that now requires real-time responses, AI will empower organizations to respond to incidents and adapt as situations evolve dynamically.

3. IT and security leaders must fortify their data in the cloud.

Data is the crown jewel of the business—and the cloud is increasingly becoming its castle. But what good is a castle if you leave the drawbridge down? Organizations must prepare for cloud intrusions from increasingly sophisticated cyber threats: the 2024 CrowdStrike Global Threat Report found cloud intrusions have surged by 75% since 2023.

With the cloud’s continued expansion comes an even greater responsibility for organizations to combat vulnerabilities—otherwise, this surge is only the beginning. In 2025, organizations must focus on protecting data in the cloud, monitoring risk, and building confidence that they can recover data and applications in the event of an attack.

This means going above and beyond app-native security tools and finding tailor-made solutions that not only prevent threats from reaching data in the cloud but also recover swiftly against any threats that sneak across the moat.

4. Data Security Posture Management becomes an essential element of cyber resilience.

Data security posture management—DSPM—aims to solve one of the most complex issues in modern cloud environments: knowing where all your data is and how it is secured.

According to Research and Markets, the DSPM market is undergoing significant growth, driven mainly by AI adoption. As more (and larger) data sets become available for AI models to consume, the likelihood of sensitive data being exposed to unauthorized users increases significantly.

Cloud, AI, and DSPM will go hand in hand because traditional security methods like DLP (Data Loss Prevention) and CNAPP (Cloud-Native Application Protection Platforms) alone don't adequately address an organization's overall data-related cyber resilience.

5. A wave of AI agents will increase cyber resilience—and introduce new risks.

The emerging agentic AI market shows endless potential, especially for organizations that use the cloud to scale computing power and storage capacity to train and deploy complex AI models. CISOs focusing on cloud-first architectures will reap the benefits of increased productivity, better customer experiences, and more. Agentic AI also has the potential to help businesses keep their data and cloud apps more secure; imagine a future where AI agents automate threat detection while enhancing the speed of response and resilience.

However, if not implemented cautiously, agentic AI will also risk sensitive data in the cloud. As AI agents become more sophisticated and interconnected, they will likely lead to more security vulnerabilities and accidental data leaks. Savvy business and IT leaders will not let this hold them back from adopting agentic AI but rather drive them to establish guardrails, set up stringent data access policies, and clearly communicate organizational best practices.

6. Ransomware will continue to evolve and create havoc.

If 2024 taught us anything, ransomware isn’t going anywhere—and will continue to be a favorite of bad actors. With the evolution of AI and more data moving to cloud and SaaS-based platforms, attackers can automate and refine their attack strategies, making ransomware even more effective in 2025.

But it gets worse. We expect Ransomware-as-a-Service (RaaS) to expand beyond malware, offering initial access brokering, data exfiltration, and negotiation services. RaaS platforms will also continue to lower the technical threshold for launching ransomware attacks, which means more individuals or less technically skilled groups can engage in ransomware activities, increasing the volume of attacks. Organizations will need to develop new strategies to contend with this reality.

These six predictions highlight why 2025 promises to be a dynamic year in cybersecurity. Now is the time for IT and security leaders to prepare.

The post From Agentic AI to Ransomware: Six Cybersecurity Trends to Watch in 2025 appeared first on Unite.AI.

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网络安全 人工智能 数据安全 DORA 勒索软件
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