01 · Scope by discipline
Each engagement is scoped to the target surface, web, mobile, API, network, or cloud with tailored methodology and tooling.
Risk & Exposure
Manual-led penetration testing across web, mobile, API, network, and cloud environments.
Scanner flagged 96 issues across five disciplines. Manual exploitation is what tells you which of those are real.
The challenge
Approach
01 · Scope by discipline
Each engagement is scoped to the target surface, web, mobile, API, network, or cloud with tailored methodology and tooling.
02 · Hybrid Testing
Automated scanning is paired with manual exploitation to eliminate false positives. Testing follows OWASP, NIST SP800-115, and OSSTMM methodologies.
03 · Report and retest
Every engagement delivers a detailed, risk-rated findings report, including clear reproduction steps, supporting evidence such as screenshots or logs, and CVSS scores for each vulnerability identified.
How it works
What’s included
Outcomes
Why Gruve
Web, mobile, API, network, and cloud each fail in different ways, and each requires a different testing discipline to find those failures. Every engagement pairs automated scanning with manual exploitation specific to that surface, so findings are proven exploitable, not just theoretical scanner output.
Organizations that want proven, exploitable findings across every surface
Organizations that want a fast, low-cost vulnerability scan
Manual exploitation included for every discipline, not just scanning
Automated scan output only, with no manual validation
False positives eliminated through manual validation
Scanner noise reported as-is, with no exploitability confirmation
Discipline-specific methodology for each of five attack surfaces
One generic methodology applied across every surface
Non-destructive proof-of-concept evidence for every finding
Findings reported without exploitation evidence
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Learn moreTestimonials
The partnership with Gruve brings significant value to customers by combining thought leadership, delivery, and execution of services. Leveraging AI/ML and Cloud tools in delivering software integrations and services can significantly ease transitions for large enterprise organizations.
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