MAHWAH, N.J., July 21, 2026 (GLOBE NEWSWIRE) -- Radware^®(NASDAQ:RDWR), a global leader in AI and application security and delivery solutions for multi-cloud environments, today released its 2026 Cyber Survey: New Trends in AI, API and Application Security. Based on a global survey conducted by Osterman Research on behalf of Radware, the survey found that organizations are adopting AI faster than they are implementing the security controls needed to protect their environments.

Security professionals are accustomed to security models aligned with traditional layers of the technology environment, including the network, application and data layers. The emerging AI layer presents a new set of challenges. As enterprises expand their use of generative AI, large language models (LLMs), AI agents and autonomous workflows, the survey indicates that threat actors are using AI to discover vulnerabilities, evade defenses and accelerate attacks. The survey found many organizations lack the visibility and governance needed to effectively secure AI, applications and APIs.

"The emerging AI layer presents a new set of security challenges that may not be addressed with isolated point solutions," said Connie Stack, chief growth officer, Radware. "Organizations need visibility across AI, applications and APIs to identify and respond to emerging threats faster."

Among the survey's key findings:

Organizations are deploying AI faster than they can protect it. 83% of organizations are making widespread use of GenAI or LLM functionality, and 96% expect to implement AI agents or autonomous workflows within 12 months. Yet only 17% have full visibility into AI agents or AI-driven processes.
AI traffic is creating a new access-control challenge. Only 14% of organizations have full visibility into AI crawler traffic, while 76% have experienced a negative impact from AI crawler traffic or AI agents.
Application development continues to outpace API security. Nearly half (48%) of organizations update APIs for production use daily or more frequently. Yet only 19% have a fully automated and continuously updated API inventory, and just 24% conduct comprehensive API security testing across the full lifecycle.
The business impact of application attacks continues to grow. 71% of organizations experience application-layer or API-targeted DDoS attacks monthly or more often. The average cost of downtime from an application-layer DDoS attack increased 23% year over year to $7,530 per minute, or approximately $451,800 per hour.
Security operations are not moving fast enough. Only 21% of organizations report the highest level of readiness to manage application security incidents, while the average resolution time for significant API, bot or DDoS-related incidents is 2.8 hours.

The survey’s findings underscore the growing need for organizations to strengthen visibility, governance and coordinated security across AI, applications and APIs as they prepare for increasingly sophisticated AI-driven threats.

The 2026 Cyber Survey: New Trends in AI, API and Application Security is based on research conducted by Osterman Research among 377 organizations worldwide. Download the survey here.

Webinar

Radware will also host a webinar on July 30 at 11:00 AM EDT, highlighting the survey's key findings, emerging trends and recommendations for strengthening AI, application and API security.

About Radware

Radware^®(NASDAQ:RDWR) is a global leader in application security and delivery solutions for multi-cloud environments. The company’s cloud application, infrastructure, API, and AI security solutions use AI-driven algorithms for precise, behavior-based, real-time protection against sophisticated web, application, and DDoS attacks, API abuse, business logic threats, and malicious bots. Radware delivers end-to-end API security, including discovery, posture management, testing, and runtime protection, along with advanced protection for AI agents and models. Enterprises and carriers worldwide rely on Radware to address evolving cyberthreats, protect their brands and business operations, and reduce costs. For more information, please visit the Radware website.

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This press release contains "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995 and other U.S. securities laws. Any forward-looking statements made herein that are not statements of historical fact, including statements about Radware’s plans, objectives, expectations, beliefs, projections, future financial performance, business strategies, market opportunities, and developments in our industry, are forward-looking statements. In some cases, forward-looking statements can be identified by words such as "believe," "expect," "anticipate," "intend," "estimate," "plan," "project," "forecast," "target," and similar expressions, as well as future or conditional verbs such as "will," "should," "would," "may," and "could." For example, when we say in this press release that organizations are expected to implement AI agents or autonomous workflows within 12 months, or that the need for coordinated security across AI, applications and APIs is expected to grow, we are using forward-looking statements.

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Media Contact:

Gina Sorice

Radware

GinaSo@radware.com