Enhancing Cybersecurity for an AI-Based SAST Company
Case Studies
Enhancing Cybersecurity for an AI-Based SAST Company
Enhancing Cybersecurity for an AI-Based SAST Company
AI based Technology
USA
AI-Based SAST Company
Overview
The client is a leading AI-based Static Application Security Testing (SAST) company based in the United States. Specializing in cybersecurity technology, their innovative solutions revolutionize the way software vulnerabilities are detected and addressed, providing comprehensive security solutions to their clients. Given the sensitive nature of their work and the growing cybersecurity threats, ensuring robust security measures is crucial for maintaining trust and integrity in their solutions.
CHALLENGE
The SAST Company faced significant cybersecurity challenges, including
- OWASP Benchmarking: Lacked standardized benchmarking against OWASP standards.
- SBOM Management: Struggled with tracking third-party software components.
- SAST Coverage: Faced gaps in identifying all security vulnerabilities.
- SCA Management: Had difficulties managing open-source components.
- QA Processes: Limited security-focused testing in QA processes.
- DevSecOps Integration: Encountered challenges in integrating security into the SDLC.
Actions
100%
Completed
Integrated security enabled seamless, secure network-wide communication.
100%
Completed
Cybersecurity measures led to 100% threat mitigation, enhancing security.
Trusted Client
0
Years and Ongoing
Projects
0
Completed and Ongoing
Conclusion
By partnering with digiALERT, the AI-based SAST company successfully addressed their cybersecurity challenges and strengthened their security posture. The tailored suite of solutions provided by digiALERT enabled the company to benchmark their security practices, manage software supply chain risks, improve vulnerability detection, enhance QA processes, and seamlessly integrate security into their DevSecOps pipeline. These proactive measures significantly enhanced the company's resilience to cyber threats and bolstered trust and confidence in their AI-based SAST solutions.
How We Achieved It?
digiALERT executed the following steps to achieve the desired outcomes
OWASP Benchmarking
Software Bill of Materials (SBOM)
Improved supply chain security with comprehensive inventories.
Static Application Security Testing (SAST)
Increased detection accuracy with advanced tools.
Software Composition Analysis (SCA)
Managed open-source components effectively.
Quality Assurance (QA)
Strengthened QA with security-focused methodologies.
DevSecOps Implementation
Integrated continuous security testing into the SDLC.
Our Solution
To address these challenges, the SAST Company partnered with digiALERT,
- OWASP Benchmarking: Conducted assessments to evaluate and improve security posture.
- SBOM Implementation: Created an inventory of software components to mitigate supply chain risks.
- Enhanced SAST Tools: Improved accuracy and coverage of vulnerability detection.
- SCA Solutions: Managed open-source components to reduce vulnerabilities.
- Strengthened QA: Implemented security-focused testing in QA processes.
- DevSecOps Integration: Seamlessly integrated security into the SDLC.
Outcomes
Through the partnership with digiALERT, the AI based SAST company achieved several key outcomes
- Enhanced Security Posture: Improved practices through OWASP benchmarking.
- Improved Supply Chain Security: Reduced risks with better SBOM management.
- Enhanced Vulnerability Detection: Increased accuracy with advanced SAST and SCA solutions.
- Early Flaw Remediation: Detected and fixed security flaws early in development.
- Seamless Integration: Integrated security into the SDLC, fostering a security culture.
