We prevent sensitive-data leaks with DLP, embed security into the development lifecycle (SSDLC), and protect cloud environments against misconfiguration.
The critical topics this service addresses and the outcome we deliver in each.
We roll out data classification and DLP policies in stages (monitor → warn → block) and control the movement of sensitive data across endpoint, network and cloud.
We add SAST, DAST, SCA and secret scanning as quality gates in CI/CD and tighten the build-break threshold gradually with the team.
With CSPM we continuously audit cloud security posture against CIS Benchmarks and make misconfigurations visible with a remediation action plan.
Through secure-coding standards and developer training with hands-on labs we support the team in producing secure code independently.
How we phase the service across delivery, governance, and connected service pillars.
Data and DLP: we classify data, roll out DLP policies in monitor mode first and drive adoption with user training.
SSDLC integration: we add SAST, SCA and secret scanning as quality-gate steps into your existing CI/CD pipeline and plan the toolchain during discovery.
Cloud posture: we run cloud security baseline audits with CSPM and order findings by remediation priority.
Illustrative surfaces where this service is commonly activated.
Organisations wanting to protect customer, financial or special-category data with DLP and control its movement.
Software teams wanting to catch security gaps early in development, before they reach production.
Platform and security teams wanting to continuously audit configuration errors across multi-cloud environments.
This service's depth on sector-specific technical and compliance topics.
With platforms such as Microsoft Purview we build endpoint, network and cloud DLP policies on top of data classification.
We integrate tools such as SonarQube, Snyk, Trivy, Semgrep and GitLeaks into the pipeline, referencing OWASP Secure Coding and CWE Top 25.
With Azure Defender, AWS Security Hub or Prisma Cloud we provide continuous cloud security auditing based on CIS Benchmarks.
Data breaches increasingly originate from insecure application code and inadequate data loss prevention controls. Organisations developing software without security integrated into the development lifecycle produce vulnerabilities at speed, while unclassified and ungoverned data assets create exposure that DLP cannot address effectively. Our Data and Application Security practice integrates security into every phase of software delivery through SSDLC implementation and deploys data-centric security controls that protect sensitive information regardless of where it resides or travels.
Make risk and response indicators visible through measured controls, rehearsed playbooks, and evidence review
Shorten operational cycle time against agreed measurement targets and acceptance criteria
Make risk and response indicators visible through measured controls, rehearsed playbooks, and evidence review
The data and application security engagement covers current-state assessment, architecture design, tooling deployment, process integration, and developer training. We address the full application portfolio from web and mobile applications to APIs and backend services. The DLP scope includes endpoint, network, email, and cloud data channels. Cloud workload protection covers containers, serverless, and virtual machines across all major cloud platforms.
Shorten operational cycle time against agreed measurement targets and acceptance criteria
Improve quality indicators through baselines, acceptance criteria, and reviewed evidence
Make risk and response indicators visible through measured controls, rehearsed playbooks, and evidence review
Deliverables from the data and application security engagement range from strategic programme documents to technical integration artefacts and training materials. The SSDLC programme is delivered as a living framework with ongoing measurement and improvement mechanisms built in from day one.
Demonstrate application security maturity to enterprise customers requesting SSDLC evidence in RFPs
Shorten operational cycle time against agreed measurement targets and acceptance criteria
Provide development leadership with data-driven insights to allocate security remediation budget
We implement a tiered security testing strategy: fast SAST incremental scans run on every pull request commit (typically within the agreed response window), full SAST scans run nightly, and DAST scans run on staging environment deployments. Only critical and high severity findings block the pipeline; medium and low findings are tracked as technical debt tickets. This approach catches critical issues without impacting developer velocity.
The Secure Software Development Lifecycle embeds security activities into each phase of your existing development process: security requirements during planning, threat modelling during design, SAST and SCA during coding, DAST during testing, and penetration testing before release. A foundational SSDLC programme covering tooling, training, and process integration is planned through a scoped timeline agreed during discovery to implement and becomes self-sustaining within the agreed response window.
DLP tuning is a structured process. We deploy in audit mode first for 30 days, analyse the false positive rate per policy, and tune classification rules and user scope before switching to enforcement mode. We implement a streamlined exception workflow where users can request a business justification override that is reviewed within the agreed response window during business hours, ensuring DLP does not create unacceptable friction for legitimate workflows.
Yes. We support polyglot development environments and select SAST tools with coverage for your specific language mix. Threat modelling and secure coding training are tailored to the frameworks your teams use. We have experience implementing SSDLC across Java, .NET, Python, Go, JavaScript/TypeScript, and mobile (iOS/Android) simultaneously within a single programme.
We establish a quarterly OWASP SAMM assessment cadence to measure programme maturity against the benchmark. Metrics tracked include defect escape rate (vulnerabilities found post-release versus pre-release), remediation velocity by severity, SAST false positive rate, and developer training completion rate. Results are reviewed in quarterly programme reviews with actionable improvement targets for the next quarter.
CSPM deliverables include an initial cloud security posture report with all findings prioritised by severity, a remediation playbook for the top 20 findings, and automated remediation scripts for common misconfigurations such as public buckets and overly permissive security groups. Ongoing CSPM produces a weekly posture report and monthly trend analysis showing posture improvement over time.
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