5 ways attack surface management will evolve in 2026

Attack surface management plays an important role for businesses, as this surface has been expanding in both scope and complexity for several years and this expansion shows no signs of slowing down.

See also: Network Visibility: The Thread That Holds Cybersecurity Together

This trend can be attributed to several factors, such as:

• The rise of IoT, which has added significantly more devices to networks
• The increasing use of APIs and interconnected microservices
• The transition to remote work, which requires the integration of devices and connections from home
• The seemingly uncontrollable growth of shadow IT
• The shift to decentralized infrastructure and cloud service management, which has made the entire IT ecosystem more complex and opaque

According to the CSA, 82% of businesses now use hybrid environments. Nearly two-thirds work with two or more cloud providers, further complicating the attack surface. The widespread adoption of AI has exacerbated the situation. Assistants and AI agents add opportunities for cybercriminals, who also use their own AI tools to increase the volume of attacks. More than half of the organizations surveyed by the CSA use AI, and about a third of them have already suffered an AI-related breach.

This rapid growth in attack surfaces and the seemingly never-ending rise in cyber incidents – with 73% of businesses experiencing a cyber incident and 55% in the past year, according to Clutch research – requires a whole new approach to attack surface management (ASM). Making small adjustments is no longer enough.

In 2026, I predict a shift in attack surface management that will emphasize:

• Centralized cloud management, with secure service access edge (SASE) solutions dominating the sector
• Proactive risk management replacing reactive measures
• Zero-trust becomes a non-negotiable bet
• Smart, practical AI tools becoming critical to protecting the attack surface
• Focus on the third party and supply chain risk

1. Cloud management will be centralized

It requires adopting approaches such as SD-WAN networking, firewall-as-a-service, secure web gateways, cloud access security brokers for visibility and control of cloud data, and robust data loss prevention plans, alongside traditional protections such as identity and access management, zero-trust, and enterprise policy enforcement.

2. The preventive approach

The ASM proactive attack surface management measures we foresee for 2026 include:

• Continuous, adaptive, automated asset inventory. Organizations will develop solutions that continuously scan the ecosystem for new assets and map their extent and weaknesses, both internally and externally.
• Executives who understand the situation. There will be a preference for leaders who understand the need to monitor and evaluate all parts of the attack surface, including AI tools.
• Integrated, real-time threat intelligence. Real-time threat intelligence will be integrated into all attack surface management workflows, ensuring that decision-making stays one step ahead of malicious actors instead of one step behind.
• Automatic and immediate threat classification. Vulnerability management approaches will prioritize risks according to their exploitability, criticality, and impact on business operations, so that the most serious ones are addressed first and not overlooked.

See also: Side-Channel attacks on common IoT devices

3. Zero-trust will take on new meaning in attack surface management

There is no way to block all types of attacks. The only real defense is consistent and repeated employee training. We expect to see increases in the adoption of phishing simulations that are designed to induce real behavioral change and delivered to the line of work. Context becomes a vital cue for authenticity.

At the same time, businesses will install and enforce strict access controls, zero-trust for all people and devices, and multi-factor authentication by default. Internal passcodes and two-person verification for payments above a certain amount will become the norm.

4. AI will become a critical player

Multiple specialized AI agents could work together to identify a threat, analyze its risk level, and remediate related vulnerabilities in real time. In another scenario, multiple AI agents could monitor user behavior, share threat intelligence, and dynamically identify and respond to emerging threats, dealing with the unknown to stay one step ahead of malicious actors.

5. Risk management will look beyond business boundaries

In 2026, we will see an increase in attack surface mapping that looks beyond the enterprise itself to cover the entire supply chain. Risk assessment solutions that include third-, fourth-, and ninth-party risk will outperform their competitors, and organizations will favor dynamic third-party assessment solutions that are constantly updated to reflect the changing threat landscape.

See also: Agentic AI opens the door to new identity challenges

As attack surfaces grow and attacks themselves become faster and smarter, attack surface management will need to outsmart and outmaneuver attackers. 2026 will be the year attack surface management breaks free from its rigid shell to become agile, proactive, intelligent, and predictive, powered by new technologies.