Rocket z/Assure Vulnerability Analysis Program (VAP) is a specialized mainframe security solution that scans and analyzes vulnerabilities in IBM z/OS operating system code to help organizations identify, assess, track, and mitigate security risks that could expose critical data. Unlike traditional vulnerability tools that focus on application layers, z/Assure VAP conducts thorough and precise binary code scanning at the OS level to detect zero-day and integrity-based vulnerabilities without relying on signature files, using an Interactive Application Security Testing (IAST)-style approach to pinpoint real weaknesses and guide developers to the exact code requiring remediation. It generates detailed vulnerability disclosure reports that provide actionable insights and clear paths to fix issues, enabling teams to prioritize risk, strengthen defenses, and make mainframe vulnerability management a repeatable part of IT security and compliance programs.
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Secure your code, cloud, and runtime in one central system.
Aikido’s all-in-one security platform is loved by developers and security teams alike with full security visibility, insight in what matters most, and fast/automatic vulnerability fixes.
Teams get security done with Aikido thanks to:
- False-positive reduction
- AI Autotriage & AI Autofix
- Deep integration into the dev workflow (from IDEs and task managers to CI/CD gating)
- AI Pentests
- Automated Compliance
Aikido covers the entire Software Development Lifecycle (SDLC), including: static application security testing (SAST), dynamic application security testing (DAST), infrastructure-as-code (IaC), container scanning, secrets detection, open source license scanning (SCA), cloud posture management (CSPM), runtime protection, AI pentests, and more.
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Rafter
Rafter is a developer-friendly security scanning platform that lets you detect and address vulnerabilities in your GitHub repositories with a single click or command. It integrates seamlessly via a browser-based dashboard, CLI, or REST API to scan JavaScript, TypeScript, and Python code for a range of issues, including exposed API keys, SQL injection, XSS flaws, insecure dependencies, hardcoded credentials, and authentication weaknesses. Results are clearly categorized into “Errors,” “Warnings,” and “Improvements,” each offering detailed explanations, code locations, remediation steps, and formatted prompts ready to paste into AI coding assistants. You can view findings in JSON or Markdown, automate scans within CI/CD pipelines, and pull scan results directly into your workflows. Whether you prefer no-code, low-code, or full-code environments, Rafter adapts flexibly to your setup, making proactive security early in development effortless and scalable.
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