Web application security for modern and traditional web frameworks and applications
Modern organisations deploy a plethora of web applications, ranging from external-facing corporate websites, customer portals, shopping carts, and login pages to internal-facing HR portals. Web applications are an appealing target for hackers because they can exploit vulnerabilities in these business-critical applications to gain access to backend corporate databases.
WhiteHat DAST is a software-as-a-service (SaaS) dynamic application security testing (DAST) solution that allows your business to quickly deploy a scalable web security program. No matter how many websites you have or how often they change, WhiteHat DAST can scale to meet any demand. It provides security and development teams with fast, accurate, and continuous vulnerability assessments of applications in QA and production, applying the same techniques hackers use to find weaknesses, so you can remediate them before the bad guys exploit them.
WhiteHat DAST is a cloud-based solution that requires no hardware or scanning software to be installed. It provides
• Unlimited, continuous, and concurrent assessments
• Automatic detection and analysis of code changes in web applications
• Open API integration to security information and event management solutions, bug tracking systems, and web application firewalls
WhiteHat DAST fits into any environment and is highly scalable, with the ability to assess thousands of websites simultaneously. Furthermore, all vulnerabilities are verified by Synopsys security experts, virtually eliminating all false positives.
Powered by artificial intelligence and machine learning
WhiteHat DAST brings together machine learning (ML), artificial intelligence (AI), and expert vulnerability analysis to deliver the most accurate dynamic application security testing results, so you can verify the security of your web applications without slowing down developers with false positives.
Years of valuable data gathered by our highly trained security experts is used to develop our proprietary AI/ML models. This approach provides fast, automated results augmented by expert validation, enabling earlier detection and faster response to cyberattacks.