2026 WINNER · CYBERSECURITY STARS AWARDS

Xint Code + Web · Autonomous Pentesting Platform

Best Automated Pentesting Platform
2026 Winner medal
Xint.io logo
Company
Xint.io
Location
United States
Website
Team Size
100 - 499 employees
01

Overview

Xint.io tackles the most difficult cybersecurity challenges from an attacker's perspective and conquers them as the best strategic security experts. They offer AI-powered application security testing and SAST products. Their research arm (Theori) provides offensive security consulting and auditing.

02

Key Capabilities

The problem: Application Security typically faces a choice between human penetration testing, which produces high-quality results but is too slow and expensive to scale up, and automated code scanning (either via a SAST tool or an AI coding tool), which scales but produces hundreds of false positives that defenders must assess manually.

The Xint platform offers AI-powered vulnerability discovery for static source code and live applications at scale. It combines a powerful proprietary orchestration engine that uses multiple AI agents (and models) in parallel to scan and analyze each line of code from a context and business logic perspective. The outcome: results in hours not weeks, with low false positives, and actionable, prioritized human-level insights that help teams validate and remediate vulnerabilities quickly. AI speed at scale.

Xint includes the broadest coverage of bugs, including complex business logic vulnerabilities that traditional tools miss. It uses context-aware analysis on every line of code to evaluate which bugs are serious and which are not. In fact, the team at Xint (and Theori; the research side of the organization) recently discovered and disclosed Copy Fail (CVE-2026-31431), one of the most critical Linux vulnerabilities of the last decade. And just this week, in conjunction with Google's Wiz, found and disclosed a high-severity Remote Code Execution vulnerabilities in Redis (CVE-2026-23479).

The platform delivers a <25% false positive rate compared to ~80% for traditional AppSec testing tools.. Also, it analyzes Code + Runtime; not just one or the other. That means black box + white box autonomous pentesting in one platform. Organizations get human-readable reports that provide full reproduction steps (trigger conditions for an exploit) and impact (the payoff to a hacker from an exploit) so product security teams can validate and POC bugs in 15 minutes or less.

Xint offers predictable pricing. Teams don't have to worry about exponential token burn as lines of code or app endpoints increase in quantity. The platform was built by highly-experienced offensive security researchers, designed for how researchers and production security teams work.

03

How we are different

Xint was built by highly decorated hackers (the winningest team in DefCon history, winners at Google Wiz's Zeroday.cloud competition, 4x consecutive Pwn2Own winners, top-3 at DARPA AIxCC). They used AI to scale their expertise in order to scan millions of lines of code or applications based on context, the way a human pentester would. Their decades of practical real world experience meant they understood what it takes for a platform like this to be useful to real product security teams (for example, how to avoid drowning security engineers in false positives or else requiring substantially more human resources to triage results like immature AI tools).

The team behind Xint is responsible for notable vulnerability disclosures. Some examples include:

  • Copy Fail: Which some called the most severe Linux threat in years (read more in SC Magazine, Dark Reading, The Verge, etc.),
  • High-severity bugs in critical open source projects used by governments and Fortune 100 companies (such as PostgreSQL, Redis, MariaDB) and kernel-level vulnerabilities impacting all Apple operating systems (iOS, MacOS, iPadOS)

Current referenceable customers include Samsung, LG Electronics, and Hyundai. Here are some customer quotes:

"In only three days, Xint caught a critical logic bug that none of our existing tools could detect. Thinking about the damage it could've caused, using Xint just felt like the obvious move."

  • CISO, Financial Services

"For a company managing large-scale infrastructure, the greatest challenge is maintaining real-time visibility into the security posture of constantly evolving assets. By implementing Xint, we have gained a comprehensive view of our web assets and established an AI-driven, continuous monitoring system that significantly enhances both the speed and accuracy of our security operations."

  • Samsung
04

Gallery