What is Pixeebot?
Pixeebot is an agentic application security platform that autonomously triages and fixes vulnerabilities, dramatically reducing noise and accelerating remediation. It integrates directly into development workflows, reading your codebase, security policies, and architecture to understand execution paths, reachability, and exposure. Unlike traditional scanners that flood teams with false positives, Pixeebot traces real execution paths to prove exploitability, removing up to 98% of false positives before any fix is generated. This ensures that only genuine, exploitable risks remain, saving developers countless hours of manual triage.
Pixeebot’s fixes are production-ready: they match your coding conventions, respect your security rules, and pass CI checks before opening a pull request. With a 76% merge rate, developers trust and merge these fixes, clearing backlogs efficiently. The platform covers critical vulnerabilities such as SQL injection (by parameterizing queries), stored XSS (by adding HTML sanitization), and directory traversal (by validating file paths). Each fix is tailored to your specific context, ensuring minimal disruption and maximum security.
Beyond automated fixes, Pixeebot offers proactive design review through its Foresight feature, catching risks in designs before code is generated. This creates a continuous learning loop: reactive work sharpens design reviews, and design decisions improve future fixes. All activities share a single context graph, compounding your bespoke security knowledge over time.
Pixeebot is ideal for enterprises struggling with growing security debt, especially those with CI/CD pipelines and large codebases. It reduces noise, accelerates developer velocity, and provides a proactive defense against evolving threats. Technical details include support for multiple languages and frameworks, integration with GitHub and GitLab, and a focus on execution-path analysis rather than file-level scanning. By automating the tedious parts of AppSec, Pixeebot empowers teams to ship secure code faster.
Use Cases
Key Features
autonomous vulnerability triage false positive reduction production ready fixes CI integration context aware remediation SQL injection fixing XSS sanitization directory traversal preventionWho is it for?
security engineers, software developers, DevOps teams, application security teams, engineering managers, CTOs
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