The attack surface of enterprises will inevitably continue to expand in 2025. The data-driven acceleration, including the increasing integration of AI-driven applications and IoT devices, will expose new vulnerabilities, allowing malicious actors to expand their actions and strategies.
Executives will grapple with increasing regulatory pressure and try to balance innovation and compliance. While established directives such as the EU General Data Protection Regulation (GDPR) already set strict standards for data protection and security, newer regulations such as NIS2 or DORA raise the bar even higher. For global companies, the challenge is even greater as they must navigate a tangle of different and often conflicting regulations, says Suzanne Button, Field CTO EMEA and security expert at Elastic.
Traditional solutions cannot keep up
Reactive defenses are no longer viable. Cybersecurity teams must move away from traditional solutions like SIEM and SOAR that cannot keep up with the demands for speed, accuracy and scalability. Instead, they must embrace security analytics and automation - the new standard for threat hunting and management. These tools will be indispensable in achieving real-time and end-to-end visibility, helping CISOs prioritize risk and building cyber resilience.
Advanced analytics, automation and artificial intelligence will be essential for scalability and resilience. However, human expertise along with contextual analytics will continue to be critical to interpret nuanced threats and make informed decisions, as well as tailoring automation to an organization's attack surface and risk profile.
2025: Capabilities of teams at the border
The growing demand for diverse skills and out-of-the-box solutions will likely continue to exceed the capabilities of many teams, especially those with less experienced staff. At the same time, shrinking budgets are forcing security leaders to do more with less. This limits the ability to hire and train talent - AI tools are a lifeline here: Because routine tasks can be automated, teams can focus on complex threats, spend time on upskilling, and ultimately prepare the workforce for the future and the challenges ahead.
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