ZeroPath
ZeroPath is the AI-native SAST that finds vulnerabilities traditional tools miss. We built it because security shouldn't overwhelm developers with noise.
Unlike pattern-matching tools that flood you with false positives, ZeroPath understands your code's intent and business logic. We find authentication bypasses, IDORs, broken auth, race conditions, and business logic flaws that actually get exploited and missed by traditional SAST tools. We auto-generate patches and pull requests that match your project's style.
75% fewer false positives, 200k+ scans run per month, and ~120 hours saved per team per week. Over 750 organizations use ZeroPath as their new AI-native SAST.
Our research has uncovered critical vulnerabilities in widely-used projects like curl, sudo, OpenSSL, and Better Auth (CVE-2025-61928). These are the kinds of issues off-the-shelf scanners and manual reviews miss, especially in third-party dependencies.
ZeroPath is an all-in-solution for your AppSec teams:
1. AI-powered SAST
2. Software Composition Analysis with reachability analysis
3. Secrets detection and validation
4. Infrastructure as Code scanning
5. Automated PR reviews
6. Automated patch generation
and more...
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JetBrains Junie
Junie, the AI coding agent by JetBrains, revolutionizes the way developers interact with their code by embedding intelligent assistance directly into JetBrains IDEs like WebStorm, RubyMine, and GoLand. Designed to fit naturally into developers’ existing workflows, Junie helps tackle both small and ambitious coding tasks by providing tailored execution plans and automated code generation. It combines the power of AI with IDE capabilities to perform code inspections, syntax checks, and run tests automatically, maintaining code quality without manual intervention. Junie offers two distinct modes: one for executing code tasks and another for interactive querying and planning, allowing developers to seamlessly collaborate with the agent. Its ability to comprehend code relationships and project logic enables it to propose efficient solutions and reduce time spent on debugging. Developers from various fields, including game development and web design, have showcased impressive projects built entirely or partly with Junie’s assistance. The tool supports multi-file edits and integrates version control system (VCS) assistance, making complex refactoring easier and safer. JetBrains offers multiple pricing plans tailored to individuals and organizations, ranging from free tiers to premium AI Ultimate for intensive daily use. By handling repetitive coding chores, Junie frees developers to focus on the creative and strategic aspects of software development. Overall, Junie stands as a powerful AI companion transforming traditional coding into a smarter, more collaborative experience.
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Panto
Panto is an innovative AI-enhanced code review solution designed to elevate both the security and quality of software by integrating fluidly into pre-existing development frameworks. Its distinctive AI operating system aligns code with pertinent business contexts derived from tools like Jira and Confluence, thus enabling effective, context-aware code evaluations. Capable of supporting over 30 programming languages, Panto conducts more than 30,000 security assessments to guarantee a comprehensive review of the codebase. The "Wall of Defense" feature operates consistently to detect vulnerabilities and propose solutions, preventing flawed code from reaching production stages. Furthermore, Panto's dedication to zero code retention, adherence to CERT-IN regulations, and on-premises deployment options underline its emphasis on data security and compliance with industry standards. Developers benefit from reviews characterized by a high signal-to-noise ratio, which helps reduce cognitive strain and allows them to focus on critical logic and design elements. This commitment to clarity and efficiency not only streamlines the code review process but also empowers teams to achieve substantial improvements in their overall development workflows. Ultimately, Panto serves as a vital tool for developers seeking to optimize their coding practices while maintaining robust security measures.
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Cody
Cody is a sophisticated AI coding assistant created by Sourcegraph to improve software development's efficiency and quality. It works effortlessly within popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains tools, offering features like AI-enhanced chat, code autocompletion, and inline editing, all while preserving existing workflows. Tailored forenterprise teams, Cody focuses on maintaining consistency and quality throughout entire codebases by leveraging extensive context and shared prompts. Moreover, it broadens its contextual insights beyond mere code by integrating with platforms like Notion, Linear, and Prometheus, thus creating a comprehensive picture of the development landscape. By utilizing advanced Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody provides customized assistance that can be fine-tuned for various applications, striking a balance between speed and performance. Users have reported notable increases in productivity, with some indicating time savings of around 5-6 hours weekly and a doubling of their coding efficiency when utilizing Cody. As developers continue to explore its features, the potential for Cody to transform coding practices becomes increasingly evident.
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