
Feroot Security is a global leader in AI-powered website and web application compliance and security. Feroot AI protects digital experiences from hidden threats while continuously enforcing compliance with PCI DSS 4.0.1, HIPAA rules on online tracking technologies, CCPA/CPRA, GDPR, CIPA, and over 50 global laws and standards.
The Feroot AI Platform replaces manual compliance work and operational overhead with continuous automation. What once required months of effort across security, engineering, and legal teams can now be deployed in minutes, delivering real-time protection and audit-ready evidence.
Feroot unifies critical capabilities into a single platform, including JavaScript behavior analysis, web compliance scanning, third-party script monitoring, consent enforcement, and data privacy posture management. It is purpose-built to detect and stop web-based threats such as Magecart, formjacking, e-skimming, and unauthorized tracking on high-risk assets like payment pages, login flows, iframes, and healthcare portals.
Trusted by Fortune 500 enterprises, healthcare providers, retailers, SaaS platforms, utilities, payment service providers, universities, and public sector organizations, Feroot safeguards hundreds of millions of users worldwide.
Feroot AI solutions include PaymentGuard AI, HealthData Shield AI, AlphaPrivacy AI, CodeGuard AI, and MobileGuard AI.
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Aikido is the all-in-one security platform for development teams to secure their complete stack, from code to cloud. Aikido centralizes all code and cloud security scanners in one place.
Aikido offers a range of powerful scanners including static code analysis (SAST), dynamic application security testing (DAST), container image scanning, and infrastructure-as-code (IaC) scanning.
Aikido integrates AI-powered auto-fixing features, reducing manual work by automatically generating pull requests to resolve vulnerabilities and security issues. It also provides customizable alerts, real-time vulnerability monitoring, and runtime protection, enabling teams to secure their applications and infrastructure seamlessly.
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DryRun Security
DryRun Security is an AI Native SAST and Agentic Code Security engine built to improve application security without burying teams in alerts. Traditional SAST flags patterns. DryRun Security adds context. Our proprietary Contextual Security Analysis engine reasons about code intent, exploitability, and impact, so AppSec focuses on what matters.
In pull requests, the Code Review Agent posts PR comments and checks within moments of a push, with guidance developers can act on immediately. It uses specialized analyzers for common vulnerability classes like XSS, SQL injection, SSRF, IDOR, mass assignment, and secrets. For guardrails that match your environment, teams write Natural Language Code Policies in plain English and the Custom Policy Agent enforces them on every PR. When you need a deeper read, DeepScan Agent produces a prioritized full-repo report in about an hour, surfacing complex logic, authentication and authorization flaws, secrets exposure, and business-risk vulnerabilities. Code Insights Agent helps teams see trends across repos and produce audit-ready reporting faster.
DryRun Security is designed for GitHub and GitLab permissioned workflows. It protects security with private LLM capabilities, avoids sending code to public AI systems, processes with ephemeral services, and retains only findings and minimal metadata for reporting.
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Plexicus
Modern engineering teams have a math problem: AI coding assistants now produce the majority of new code, but the security stack underneath was built for an era when humans typed every line. Plexicus rewires that equation.
We're an AI-native ASPM platform with Vibe Coding Security at its core — the first end-to-end solution that meets developers where they actually work, whether they're writing code by hand or pair-programming with Cursor, Claude Code, Copilot, Windsurf, Devin, Replit, Zed, or VS Code (JetBrains coming).
What sets Plexicus apart isn't another dashboard of findings. It's the autonomous remediation loop: every detected risk arrives with a GenAI-generated pull request that fixes the root cause, lands in the developer's normal Git workflow, and clears triage queues before they form.
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