Find Out Which Pillar Deserves Your Attention First
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The global average cost of a data breach reached $4.88M in 2024 — a 10% jump in a single year. For healthcare and financial services, average breach costs exceed $9M and $6M respectively. But the financial cost is only part of the story: 70% of breached organisations report significant operational disruption, and customer PII was compromised in nearly half of all breaches. Our Security & DevSecOps pillar moves security from a final-stage gate to a continuous engineering discipline — embedding vulnerability detection, compliance validation, and threat modelling into every layer of your delivery pipeline.
Static and Dynamic Application Security Testing integrated directly into your build pipeline. Vulnerabilities are caught at commit, not after deployment — eliminating the cost escalation of late-stage security fixes.
Comprehensive VAPT across your application layer, APIs, infrastructure, and cloud configuration. We think like attackers — identifying exploitable vulnerabilities before they are exploited in production.
Cloud configuration review, network segmentation audit, IAM policy analysis, and Kubernetes/container security assessment. Misconfigured infrastructure is a leading breach vector — we eliminate it systematically.
Expert-led security code review targeting OWASP Top 10 vulnerabilities, authentication logic, cryptographic implementation, and injection risks. We review what automated scanners miss.
SAST/DAST in CI/CD pipelines catches critical and high vulnerabilities at code commit — eliminating the exponential cost of post-release remediation.
Evidenced compliance testing and documented security posture satisfies regulatory audit requirements across GDPR, PCI-DSS, FCA, and PRA frameworks.
Organisations using security AI and automation in prevention workflows save an average of $2.2M per breach compared to those who don't (IBM 2024).
Our shift-left security model catches issues when the cost to fix is a fraction of what it becomes when discovered in a production breach or pen test.
Unplanned outages during claims processing peaks were creating regulatory scrutiny and damaging customer trust. Our resilience team introduced structured chaos engineering — running GameDays that revealed 12 previously unknown single points of failure across the claims platform. DR runbooks were rewritten and automated, cutting recovery time from 4 hours to 22 minutes.
| Maturity Level | Performance | Reliability | Security | Observability | Business Risk |
|---|---|---|---|---|---|
| Level 1 — Reactive | Ad-hoc testing before release | No DR testing | Annual pen test only | Siloed server monitoring | High — incidents discovered by customers |
| Level 2 — Defined | Load tests in staging | DR plan exists, untested | SAST in pipeline | APM on key apps | Moderate — issues caught late, costly to fix |
| Level 3 — Proactive | Perf gates in CI/CD | Chaos experiments quarterly | SAST + DAST in pipeline | Full-stack observability | Low — issues caught early, rapidly resolved |
| Level 4 — Continuous | Real-time CX + capacity AI | Continuous chaos + SLO error budgets | Security as code, always-on VAPT | AI-powered anomaly prediction | Minimal — revenue-protective, regulation-ready |
Answers to the questions we hear most often from engineering, security, and compliance leaders.
Find Out Which Pillar Deserves Your Attention First
Our free NFE Maturity Assessment takes less than 2 weeks and gives you a clear, prioritised view of your non-functional risk exposure — and a roadmap to address it.
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