Compare OpenText Dynamic Application Security Testing vs. Safeguard

OpenText Dynamic Application Security Testing (DAST) offers enterprises a powerful, automated way to detect real-world security vulnerabilities by simulating live attacks against running applications, APIs, and services without requiring access to source code or staging environments. Tailored for DevSecOps teams, it efficiently prioritizes security issues to enable root cause analysis and faster remediation. The platform integrates effortlessly via REST APIs and features a user-friendly dashboard, supporting fully automated workflows within CI/CD pipelines for continuous security testing. OpenText DAST accelerates vulnerability discovery by tuning scans to the application environment, reducing false positives and surfacing critical risks earlier in the software development lifecycle. It supports modern web technologies including HTML5, JSON, AJAX, JavaScript, and HTTP2 to provide broad coverage across today’s digital applications. Automated features like macro generation and redundant page detection boost testing efficiency and reduce manual work. The solution offers flexible deployment choices, allowing organizations to operate on public or private clouds or on-premises systems. Backed by expert professional services, OpenText DAST helps businesses secure their software supply chains and maintain application integrity at scale.

Safeguard is a software supply chain security and compliance platform built around autonomous detection, validation, and remediation of security risks. Rather than stopping at vulnerability alerts, the platform uses Griffin AI to trace call graphs and determine whether vulnerable code can actually be reached and exploited. An adversarial verification process can challenge findings before they reach security teams, helping reduce false positives and unnecessary triage work. When a vulnerability requires action, Safeguard can create a compatible patch, open a pull request, run the organization's CI and tests, and merge the fix according to configured policies. The platform generates and maintains SBOMs, tracks SLSA provenance, monitors containers and dependencies, and records evidence for regulatory and compliance requirements. Its Eagle model is designed to discover previously unknown vulnerabilities and coordinate mitigations before public CVEs or upstream patches become available. Safeguard also provides runtime guardrails for LLM applications, a zero-CVE component registry, public Trust Centers, vendor risk capabilities, and security-focused coding tools. A tenant-scoped MCP server allows platforms such as Claude, Cursor, and custom AI agents to query vulnerabilities, run scans, create remediation plans, and trigger approved security actions. Organizations can deploy Safeguard in cloud, private, on-premises, or fully air-gapped environments while using one centralized policy and audit system across software security and compliance workflows.