Rival Security autonomously manages vulnerabilities across the entire lifecycle - from scanning and root cause analysis to ownership and remediation.
The platform eliminates manual triage and prioritizes findings based on business context and the actual likelihood of exploitation.
The result: 10x more effective vuln management program and dramatically faster remediation



Our Representatives

Omer Horev

Co-Founder & CEO, Rival Security

Co-Founder & CEO

Rival Security

Sivan Oberman Rubens

Head of Business Devel..., Rival Security

Head of Business Development

Rival Security

Rival Security uses AI agents to autonomously triage and manage vulnerabilities, covering the full lifecycle from scanning and root cause analysis to ownership assignment and remediation....

Company's Solutions

Rival provides autonomous AI agents that manage the vulnerability lifecycle at enterprise-grade scale by integrating with your scanners, CI/CD, and cloud environments.
Using hundreds of security playbooks and a vast knowledge base, our agents perform cross-stack correlation to verify exploitability based on code, configuration, and deployment data.
This process filters out 90% of noise, allowing teams to ignore non-threatening vulnerabilities.

The agents maintain persistent memory and technical context to improve triage accuracy across large environments. To ensure high fidelity, the Rival team works alongside the agents to validate results and refine logic. By clustering thousands of alerts into a few core fixes, agents autonomously route high-fidelity tickets and PRs to Engineering, DevOps, or IT with precise fix instructions and risk context.

Prominent Case Study

Problem: Siloed scanners (Snyk, Wiz, Qualys, Burp, pentest) generated 10,000+ vulnerabilities across code and cloud.
Single library vulnerabilities triggered duplicate Jira tickets for every microservice instance, creating massive manual overhead.

Solution: AI agents performed cross-stack correlation between code (SCA/SAST) and cloud (CSPM) to rule out unexploitable vulnerabilities while understanding deployment, configuration, and code. Agents clustered findings into 54 root-cause remediations and autonomously generated Jira tickets containing precise fix instructions, technical "why it matters" context, and ownership.

Technical Result: Cut 90% of the noise by ignoring bugs that can’t be exploited. Fixed vulnerabilities 10x faster by solving the source of the problem instead of chasing every single alert.