Insights
Practical playbooks for MSPs and IT teams covering triage, vuln ops, compliance friction, and automation.
Learn how to combine ScoutSuite and Pacu to detect AWS misconfigurations, validate exploit paths, and prioritize remediation using real business risk.
Learn how to prioritize support tickets in Jira using AI and sentiment analysis to detect urgency earlier, improve SLA outcomes, and reduce escalation risk.
Learn how to prioritize support tickets in Zendesk using AI and SLA-based scoring to improve queue order, reduce breaches, and route urgent work faster.
Learn how to detect critical vulnerabilities in container images before deployment using SBOM analysis to improve dependency visibility and prioritize high-impact remediation.
Learn how to scan container images for vulnerabilities in CI/CD pipelines using Trivy and GitHub Actions to block risky builds before deployment.
Learn how to build an AI model that classifies support tickets by category and priority to improve triage consistency, queue performance, and SLA outcomes.
Learn how to classify support tickets in Zendesk using AI and NLP models to improve queue accuracy, reduce reroutes, and speed up support operations.
Learn how to detect security vulnerabilities in Linux servers using Nmap and Nikto to find exposed services, weak web configurations, and exploitable attack paths early.
Learn how to scan Linux servers for vulnerabilities using Lynis and OpenSCAP, prioritize high-risk findings, and improve hardening and compliance posture at scale.
Learn how to automatically route Jira support tickets based on issue type and priority using AI to improve assignment accuracy and reduce support queue rework.
Learn how to route support tickets in Zendesk using AI and workflow automation to improve assignment speed, reduce rework, and increase service desk throughput.
Learn how to detect Kubernetes misconfigurations and security risks using Kube-hunter to identify exposed services, weak controls, and exploitable cluster attack paths.
Learn how to scan Kubernetes clusters for vulnerabilities using Kube-bench and Trivy to identify insecure configurations, vulnerable workloads, and high-risk remediation priorities.
Learn how to automatically route and triage support tickets using AI and NLP to improve assignment speed, reduce rework, and protect SLA performance.
Learn how to build an AI ticket triage system using embeddings and classification models to improve queue quality, routing accuracy, and support team throughput.
Learn how to detect vulnerabilities in running Docker containers using Docker Bench and runtime scanning to catch drift, misconfigurations, and active risk in production environments.
Learn how to scan Docker images for vulnerabilities using Grype and Trivy, prioritize exploitable risk, and harden image pipelines before deployment.
Learn how to automatically group similar Zendesk tickets using AI to reduce duplicate handling, improve queue clarity, and speed up support resolution.
Learn how to detect duplicate support tickets using OpenAI embeddings and cosine similarity to reduce queue noise, improve triage quality, and resolve incidents faster.
Learn how to identify vulnerable open-source libraries using SBOM analysis to improve dependency visibility, prioritize remediation, and reduce software supply chain risk.