AIOps — Maturity Assessment
Benchmark your AIOps maturity across observability, event correlation, anomaly detection, incident prediction and automation. Get a prioritised roadmap for intelligent operations.
AIOps — Observability & Monitoring Assessment
Evaluate the depth and quality of your observability stack — metrics, logs, traces and their integration — and your ability to understand system behaviour from the outside.
AIOps — Event Correlation & Noise Reduction Assessment
Assess your ability to correlate events across systems, reduce alert noise, identify root alerts in cascades and focus operator attention on what actually matters.
AIOps — Anomaly Detection Effectiveness Assessment
Evaluate the quality and effectiveness of your anomaly detection — coverage, accuracy, false positive rates, seasonal awareness and actionability of anomaly alerts.
AIOps — Incident Prediction & Prevention Assessment
Assess your capability to predict and prevent incidents before they impact users — through predictive analytics, capacity forecasting, change risk analysis and proactive remediation.
AIOps — Root Cause Analysis (RCA) Assessment
Evaluate the speed, accuracy and scalability of your root cause analysis — from data collection and correlation through causal analysis to post-mortem quality.
AIOps — Automation & Self-Healing Assessment
Assess the maturity of your operational automation — runbook automation, self-healing systems, auto-remediation coverage and the human-automation collaboration model.
AIOps — Data Ingestion & Telemetry Assessment
Evaluate the quality, coverage and management of your operational telemetry — data sources, ingestion pipelines, retention strategy, data quality and the cost of telemetry at scale.
DevSecOps
Security-first DevOps assessments covering tooling, culture, compliance and the full secure delivery lifecycle. Identify gaps, benchmark maturity and get a prioritised security roadmap.
AIOps — Toolchain Integration Assessment
Assess the integration maturity of your AIOps and operations toolchain — data flows between tools, API coverage, workflow automation and the reduction of context-switching.
AIOps — Operational Efficiency & MTTR Reduction Assessment
Evaluate your operational efficiency metrics — MTTR, MTTD, MTBF, on-call health and the effectiveness of your continuous improvement process.
DevSecOps — Maturity Assessment
Benchmark your organisation's DevSecOps maturity across people, process and tooling. Discover where security fits in your delivery pipeline and get a prioritised roadmap.
DevSecOps — Secure CI/CD Pipeline Assessment
Evaluate how well security is embedded in your build, test and deploy pipeline. Identify gaps in SAST, DAST, secret scanning, container scanning and policy gates.
DevSecOps — Cloud Security Posture Assessment
Assess the security posture of your cloud environment — misconfigurations, access controls, logging and threat detection — across all industry leading cloud providers.
DevSecOps — Container & Kubernetes Security Assessment
Evaluate security practices across your container build, registry, orchestration and runtime layers. Identify risks in Kubernetes RBAC, pod security and network policies.
DevSecOps — Application Security (AppSec) Assessment
Measure the maturity of your application security programme — from secure coding practices and threat modelling to penetration testing and vulnerability triage.
DevSecOps — Identity & Access Management (IAM) Assessment
Assess your IAM posture — least-privilege enforcement, MFA adoption, privileged access management and identity governance across cloud and on-premises systems.
DevSecOps — Compliance & Governance Assessment
Evaluate your ability to meet regulatory and compliance requirements — from audit readiness and policy management to continuous compliance monitoring.
DevSecOps — Toolchain Effectiveness Assessment
Assess whether your security toolchain is delivering value — coverage, integration, alert quality and total cost of ownership across your entire security stack.
DevSecOps — Vulnerability Management Assessment
Measure the maturity of your vulnerability management programme — discovery, prioritisation, remediation SLAs and patch management across infrastructure and applications.
DevSecOps — Incident Response & Security Operations Assessment
Evaluate your incident response capability — detection speed, playbook maturity, SOC effectiveness and post-incident improvement processes.
DevSecOps — Culture & Skills Assessment
Assess the security culture and skills across your engineering organisation — developer security awareness, security champions, training effectiveness and psychological safety.
DevSecOps — API Security Assessment
Evaluate the security of your API ecosystem — authentication, authorisation, input validation, rate limiting, inventory management and API gateway controls.
DevSecOps — Supply Chain Security Assessment
Assess the security of your software supply chain — open source dependencies, third-party components, build system integrity and SBOM practices.
DevSecOps — Secrets Management Assessment
Evaluate how your organisation manages secrets — API keys, passwords, certificates and tokens — across development, CI/CD and production environments.
DevSecOps — Infrastructure as Code (IaC) Security Assessment
Assess security practices in your IaC workflows — Terraform, CloudFormation or Pulumi — including policy-as-code, drift detection and secure defaults.
MLOps — Maturity Assessment
Benchmark your MLOps maturity across the full model lifecycle — from experimentation and training to deployment, monitoring and governance. Get a personalised roadmap.
MLOps — Model Lifecycle Management Assessment
Evaluate how your organisation manages models from development through staging, production and deprecation — including versioning, registry management and rollback capability.
MLOps — Data Pipeline & Data Quality Assessment
Assess the reliability, quality and observability of the data pipelines feeding your ML models — from ingestion and transformation to feature computation and training data quality.
MLOps — Model Monitoring & Drift Detection Assessment
Evaluate your ability to detect and respond to model degradation — data drift, concept drift, prediction drift and business metric drift — in production ML systems.
MLOps — Feature Store & Data Engineering Assessment
Assess your feature engineering practices — feature store adoption, feature reuse, online/offline consistency and the engineering standards around feature development.
MLOps — Automation & CI/CD for ML Assessment
Evaluate the maturity of your ML automation — automated retraining triggers, CI/CD pipelines for model code, testing frameworks for ML and continuous delivery practices.
MLOps — Model Governance & Compliance Assessment
Assess your model governance framework — model documentation, fairness and bias testing, explainability, audit trails and regulatory compliance for AI/ML systems.
MLOps — Experiment Tracking & Reproducibility Assessment
Evaluate your experiment management practices — tracking tools, reproducibility of training runs, hyperparameter management and collaboration between data scientists.
MLOps — Scalability & Performance Assessment
Assess your ML infrastructure's ability to scale — training compute efficiency, serving latency, throughput under load, cost optimisation and infrastructure elasticity.
MLOps — Security & Model Protection Assessment
Evaluate the security of your ML systems — model theft, adversarial robustness, training data privacy, model access controls and AI-specific threat vectors.