Application Security

Adaptive application security for the AI era

AI is changing application development by relying on AI-generated code and open-source source code and thanks to our global partners at Veracode we’re able to implement security measures that will ensure your customer’s trust is maintained and improved around their application development.

Veracode’s cloud-based Application Security Test (AST) platform is designed to help organisations identify and address security vulnerabilities throughout the software development lifecycle. The AST integrates into different stages of development, enabling both development and security teams to manage software security without significantly affecting agility or performance.

The benefits:

Comprehensive Application Security Platform: Integrates Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), Software Composition Analysis (SCA), Interactive Application Security Testing (IAST), and Manual Penetration Testing within a unified cloud-native solution, thereby eliminating the requirement for multiple tools.
Developer-Centric Integration – The platform seamlessly integrates into Integrated Development Environments (IDEs) and Continuous Integration/Continuous Deployment (CI/CD) pipelines, and provides advanced, AI-powered remediation suggestions (Veracode Fix) to enable developers to address security issues with greater efficiency and precision.
Shift-Left Security Enablement – Integrates security testing into the earlier phases of the development lifecycle, facilitating the identification of vulnerabilities prior to production deployment.
Highly Scalable & Cloud-Native – Designed for scalability and cloud-native operation; does not necessitate dedicated hardware.
Low False Positives & High Accuracy – Veracode analyses compiled binaries for accurate results and few false positives, saving developers time.
Secure Open-Source Usage (SCA) – Conducts scans of open-source libraries to identify vulnerabilities and license risks and generates Software Bill of Materials (SBOMs) to support regulatory compliance.
Continuous Compliance & Governance – Solution includes comprehensive policy administration and formalised reporting procedures and helps meet regulations like PCI-DSS, HIPAA, NIST, ISO 27001, GDPR, and POPIA.
AI & Automation for Remediation – Using artificial intelligence to automatically produce recommended remediation code and providing automates vulnerability triage, prioritization, and remediation guidance.
Secure Coding Training - Hands-on developer training with real-world security scenarios to build internal expertise.
Strong Integrations - Supports native integration with solutions like GitHub, GitLab, Jenkins, Azure DevOps, Jira, VS Code, IntelliJ, Eclipse, AWS, Docker, Kubernetes, and more.

Communication Genetics facilitates the expedited development of secure applications by software teams, minimises friction between development and security functions, ensures regulatory compliance, and streamlines comprehensive application security at scale.

Change your software development and improve your trust

Save Time

Veracode helps to leverage AI. Saving you time by automatically recommending and applying appropriate fixes for vulnerabilities in software applications. This accelerates remediation, reduces the need for post-release patching, and helps teams deliver secure software faster. By tailoring solutions to specific codebases, Veracode effectively cuts fix times for common vulnerabilities from months to minutes.

Enable Scalability

AI-powered automation handles repetitive, time-consuming tasks across the organisation, allowing teams to scale without a proportional increase in resources. Veracode helps dramatically reduces developers’ workload by quickly remediating vulnerabilities. Example: Cut the fix time for issues from 35 minutes to just 3. This efficiency boosts both productivity and developer satisfaction.

Reduce Security Debt

By integrating Veracode Fix early in the development process, teams can address security flaws before they accumulate. This results in cleaner code entering the CI/CD pipeline, faster delivery cycles, and a smaller security backlog—ultimately reducing long-term security debt.