✅ Policy-Driven Build Process Blocking – Enforce security and compliance standards at the build stage to prevent vulnerable code from reaching production.
✅ AI vs. Human Code Verification – Differentiate AI-generated code from human-written code to ensure quality, accountability, and security compliance.
✅ Developer Workstation Validation – Lock down developer machines to ensure that only authorized personnel are writing and committing code.
✅ Dynamic Risk-Based Access Controls – Monitor user permissions and potential threats dynamically based on behavior, risk factors, and project sensitivity.
✅ Automated Governance & Policy Enforcement – Define, monitor, and enforce development policies to maintain high engineering and security standards.

✅ KPI Tracking – Define and measure customDevSecOps and cost-efficiency metrics.
✅ Policy-Based Controls – Customize risk thresholds and align with  priorities.
✅ Predictive & Prescriptive Analytics – Use machine learning to anticipate risks and improve decision-making.
✅ Risk Scenarios & Risk Combinations – Leverage Start Left®’s Cognition Engine to detect unknown risks and threats by correlating incidents, real-time issues, and risks across timelines and tools in every CI/CD pipeline.

✅ Security Controls – Track policy adherence, risk reduction, and security maturity.
✅ Engineering KPIs – Measure deployment frequency, MTTR, DORA metrics, and software quality.
✅ Availability & Resilience Metrics – Ensure system uptime, SLO adherence, and performance consistency.
✅ Cost & Efficiency Analysis – Identify inefficiencies, optimize resource allocation, and reduce waste.
✅ Threat Detection & Anomaly Monitoring – Identify high-risk behaviors, insider threats, and emerging vulnerabilities.
✅ Predictive Analytics & Trend Analysis – Use AI-driven insights to forecast risk and optimize decision-making.