
Anaconda is an AI-native development platform designed to help organizations build, govern, and scale AI using trusted open-source tools. The platform supports teams from the first experiment through production deployment with package management, governed environments, and orchestration capabilities. Anaconda helps solve common AI development challenges such as broken environments, dependency conflicts, security vulnerabilities, data science workflow friction, and stalled model deployments. Anaconda Core provides trusted Python package management with thousands of validated packages, automated security scanning, and intelligent conflict resolution. This gives developers and data science teams a more reliable foundation for building Python, machine learning, and AI applications. The Anaconda Platform is designed for organizations that need governance, control, and repeatability across AI initiatives. Its trusted distribution supports secure access to open-source packages while helping teams reduce risk in enterprise development environments. Anaconda also supports AI orchestration, helping teams move models and workflows closer to production-ready operation. The company offers resources such as learning courses, certifications, reports, guides, documentation, support, and professional services to help teams advance their AI and data science maturity. Anaconda is used by millions of global users, developers, contributors, organizations, and Fortune 500 companies. By combining trusted open source, Python package management, AI governance, secure environments, and production-focused orchestration, Anaconda gives enterprises a foundation for building AI systems with greater speed and confidence.
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Aikido serves as an all-encompassing security solution for development teams, safeguarding their entire stack from the code stage to the cloud. By consolidating various code and cloud security scanners in a single interface, Aikido enhances efficiency and ease of use.
This platform boasts a robust suite of scanners, including static code analysis (SAST), dynamic application security testing (DAST), container image scanning, and infrastructure-as-code (IaC) scanning, ensuring comprehensive coverage for security needs.
Additionally, Aikido incorporates AI-driven auto-fixing capabilities that minimize manual intervention by automatically generating pull requests to address vulnerabilities and security concerns. Teams benefit from customizable alerts, real-time monitoring for vulnerabilities, and runtime protection features, making it easier to secure applications and infrastructure seamlessly while promoting a proactive security posture. Moreover, the platform's user-friendly design allows teams to implement security measures without disrupting their development workflows.
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Apiiro
Achieve total visibility of risks at every development phase, ranging from design to coding and cloud deployment. Presenting the revolutionary Code Risk Platform™, which provides an all-encompassing 360° perspective on security and compliance challenges across multiple sectors, such as applications, infrastructure, developer skills, and business impacts. Making informed, data-driven decisions can significantly improve the quality of your decision-making process. Access vital insights into your vulnerabilities related to security and compliance through a dynamic inventory that monitors the behavior of application and infrastructure code, assesses developer knowledge, and considers third-party security notifications along with their potential business implications. Although security experts are frequently overwhelmed and cannot thoroughly examine every change or investigate every alert, efficiently leveraging their expertise allows for an examination of the context involving developers, code, and cloud environments to identify critical risky modifications while automatically generating a prioritized action plan. Conducting manual risk assessments and compliance checks can be tedious, often lacking precision and failing to align with the current codebase. Given that design is inherently part of the code, it’s crucial to enhance processes by implementing intelligent and automated workflows that acknowledge this reality. This strategy not only simplifies operations but also significantly fortifies the overall security framework, leading to more resilient systems. By adopting this comprehensive approach, organizations can ensure a proactive stance against emerging threats and maintain a robust security posture throughout their development lifecycle.
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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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