Enterprise-grade AI-powered application security testing and automated remediation.
OpenText Fortify remains a cornerstone of the application security (AppSec) market moving into 2026, primarily through its evolution from a legacy scanner into a cloud-native, AI-orchestrated platform. The suite provides a comprehensive '360-degree' view of software risk by integrating Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), Software Composition Analysis (SCA), and Interactive Application Security Testing (IAST). Its 2026 market position is defined by 'Fortify Aviator,' an LLM-powered module that leverages generative AI to not only identify vulnerabilities but to provide context-aware code fixes directly within the developer workflow. Technically, Fortify distinguishes itself with its ScanCentral orchestration layer, which allows for massive parallelization of scanning tasks across distributed environments, reducing the traditional 'bottleneck' reputation of SAST. Its Audit Assistant uses machine learning to reduce false positives by up to 90%, significantly lowering the manual triage burden for security teams. As enterprises move toward platform engineering, Fortify's deep API-first architecture and native integrations with GitHub, GitLab, and Azure DevOps ensure it remains the preferred choice for high-compliance industries such as finance, healthcare, and government defense.
OpenText Fortify remains a cornerstone of the application security (AppSec) market moving into 2026, primarily through its evolution from a legacy scanner into a cloud-native, AI-orchestrated platform.
Explore all tools that specialize in static code analysis. This domain focus ensures OpenText Fortify delivers optimized results for this specific requirement.
Uses Generative AI to suggest specific code patches for identified SAST vulnerabilities, contextualized to the specific coding style of the repo.
A machine learning engine trained on millions of audited vulnerabilities to automatically classify findings as true positives or false positives.
A centralized scaling layer that dynamically allocates scan jobs to a farm of sensors based on priority and load.
High-fidelity open-source component analysis including vulnerability mapping and license compliance checking.
Simulates real-world attacks against running web applications and APIs to find vulnerabilities that only manifest at runtime.
A centralized management console that aggregates security data from SAST, DAST, and SCA for a unified risk view.
Real-time IDE plugin that highlights security issues as the developer types, similar to a security-focused 'linter'.
Deployment selection (Fortify on Demand SaaS vs. Fortify Software Security Center On-Premise).
Provisioning of ScanCentral Build Agents within the target build infrastructure.
Integration of the Fortify extension or plugin into the CI/CD pipeline (e.g., Jenkins, GitHub Actions).
Configuration of the 'Fortify Rulepack' to align with industry-specific compliance standards (OWASP Top 10, PCI-DSS).
Initial Baseline Scan of the application codebase to establish a risk profile.
Activation of Audit Assistant to filter historical false positives using ML models.
Configuration of 'Debricked' for SCA to map open-source dependencies.
Setting up WebInspect for dynamic runtime analysis of staging environments.
Integration of Fortify Aviator for AI-assisted remediation within developer IDEs (VS Code/IntelliJ).
Establishing reporting dashboards for executive visibility and compliance auditing.
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"Highly rated for depth of analysis and enterprise scalability, though users frequently cite a steep learning curve and high cost as barriers."
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