How Seznam Strengthened Application Security with Autonomous Testing

Overview

Seznam needed a way to expand application security testing without relying exclusively on periodic manual penetration tests. As development cycles accelerated and applications evolved more frequently, the security team sought greater visibility into risk, broader coverage across its attack surface, and faster feedback on vulnerabilities.

By adopting XBOW’s autonomous offensive security platform, Seznam increased testing frequency, uncovered actionable vulnerabilities, and gained a more scalable approach to application security. Continuous testing enabled the team to identify weaknesses earlier and receive validated findings without waiting for scheduled assessments.

Challenge

Like many organizations, Seznam relied on traditional penetration testing to assess application security. While effective, periodic testing created inevitable gaps between assessments, leaving portions of the attack surface untested as applications changed over time.

The team needed a way to continuously evaluate security posture while reducing the manual effort associated with repetitive testing activities. The goal was not simply to generate more findings, but to surface meaningful, validated vulnerabilities that could be prioritized and remediated efficiently.

Solution

Seznam implemented XBOW to introduce continuous autonomous testing into its security program. Rather than waiting for periodic engagements, the team could continuously assess applications and receive findings based on realistic attacker behavior.

The platform helped automate vulnerability discovery across a broader set of applications while reducing the time spent on manual testing and triage. This allowed security engineers to focus more on understanding risk and addressing vulnerabilities instead of repeatedly performing discovery activities.

Results

XBOW enabled Seznam to increase testing frequency and improve visibility into application risk without a corresponding increase in security resources. The platform surfaced real, actionable findings that could be investigated and remediated quickly, helping the team identify issues earlier in the development lifecycle.

The engagement also demonstrated where AI delivers the most value in offensive security. Autonomous testing significantly accelerated vulnerability discovery and expanded coverage, while human expertise remained critical for interpreting results, prioritizing risk, and driving remediation efforts. Together, automation and human insight created a more effective security workflow than either approach alone.

Impact

Seznam now operates with a more scalable and efficient application security program. Continuous AI-driven testing has improved confidence in security assessments, expanded coverage across the attack surface, and enabled the team to keep pace with modern development cycles without proportionally increasing operational overhead.

Looking Ahead

As application environments continue to grow in complexity, Seznam plans to build on this foundation of continuous security validation. By combining autonomous testing with expert security analysis, the organization is better positioned to identify emerging risks, strengthen application security, and maintain visibility into its evolving attack surface.