Strengthen your defenses with the combined capability of Vulnerability Vines AI and RCCE (Rocheston Certified Cybersecurity Engineers). Vines AI continuously discovers assets, scans web applications and APIs, cloud and container platforms, networks, and endpoints, and correlates results with exploit intelligence to highlight the most urgent risks.
RCCE engineers validate findings, reproduce exploit paths when necessary, prioritize remediation by business impact and likelihood, and drive closure against SLAs so mean time to remediate improves. Services include penetration testing, red team exercises, attack surface management, threat modeling, and incident‑led hardening, all presented through executive and engineering dashboards that translate technical risk into clear actions and measurable outcomes.
Advisory
RCCE professionals partner with leadership and engineering teams to build a practical, measurable security program powered by insights from Vulnerability Vines AI. Rocheston designs governance aligned with NIST CSF, ISO/IEC 27001, and CIS Controls; architects cloud‑native security on AWS, Azure, and Google Cloud with strong identity, network segmentation, and automated guardrails; develops incident response playbooks and business continuity and disaster recovery procedures; and enables secure SDLC and DevSecOps with code review, CI/CD gates, SBOM management, and container security.
Training and exercises from red, blue, and purple teams help embed a strong security culture, while KPIs and risk metrics ensure investment tracks to business outcomes.
NIST 800‑53 Compliance Assessment
Rocheston conducts formal assessments exclusively against NIST SP 800‑53 using Vulnerability Vines AI. The platform uses artificial intelligence to check compliance by mapping technical evidence to control families such as AC, AU, CM, IA, SC, and SI; ingesting configurations, logs, IAM policies, network rules, container and orchestrator manifests, and CSPM outputs; and determining pass or fail status with confidence scoring and precise remediation guidance.
Automated evidence collection and normalization reduce manual effort and eliminate stale or conflicting proof, while real‑time dashboards provide control coverage, residual risk, ownership, and due dates. Vulnerability Vines AI generates audit‑ready POA\&M entries, evidence packs, and executive summaries that meet assessor expectations, and RCCE engineers add expert review and sign‑off. Continuous monitoring and scheduled re‑checks detect drift after releases or cloud changes, keeping compliance current and defensible.