Dozens of discovery techniques: subdomain enumeration, BGP and DNS smart lookups, RIPE records analysis, etc.
1000+ known CVEs
Actionable tickets with exploit examples
Be faster than hackers
Actively verify malicious payloads from the attacks
Pinpoint high-risk incidents
Find app-specific vulnerabilities hackers could exploit
Automated Vulnerability Detection and Task Generation
Adaptive Security Platform
Being a part of Wallarm Security Platform, NG-WAF and DAST leverage each other’s capabilities. DAST gets unique insights into the application or API logic reconstructed from the traffic. In turn, WAF is able to supplement data about detected attacks with data about the incidents, detected by the scanner checks.
Wallarm FAST incorporates its built-in knowledge and automation of security into CI/CD processes. The product generates and runs security tests based on the regular functional tests, Wallarm proprietary fuzzing technology, and a database of known threat payloads.
Wallarm DAST uses attack data captured with Wallarm NG-WAF module. For every malicious request, Wallarm extracts its payload, attack type, and application endpoint and then generates scanner checks. If the attack was targeting an existing application flaw, Wallarm DAST identifies this vulnerability and creates a ready-to-use ticket.
Perimeter control and active vulnerability scanner helped us to find some issues which would be very hard to find manually.
Web management interface provides a near real-time view of the traffic along with information about attacks and incidents.
In our DevOps process we conduct testing to detect vulnerable areas and weak-spots. Our engineers can then remove all discovered vulnerabilities, each of which is described in detail.
Wallarm security platform automates application protection and security testing. Hundreds of customers already rely on Wallarm to secure websites, microservices and APIs running on private and public clouds. Wallarm AI enables application-specific dynamic WAF rules, proactively tests for vulnerabilities, and creates feedback loop to improve detection accuracy.