Teceze builds security, policy and cost control into the delivery pipeline itself rather than bolting them on at the end. Vulnerabilities are caught before code merges. Cloud accounts are created inside guardrails. Audit evidence collects itself. Your teams release more often, and your risk register gets shorter at the same time.
Book a Cloud Governance Assessment Most security programmes fail in the pipeline, not in the policy document. We engineer controls that engineers do not route around, because they run automatically and return an answer in seconds rather than in a review meeting three days later.
Secret detection, dependency analysis, container image scanning and infrastructure as code review run on every commit, build and deployment. Findings appear in the tools your engineers already use, with an owner and a fix, not a spreadsheet of alerts.
Landing zones, account baselines, tagging standards and network boundaries defined in code and enforced automatically across AWS, Azure and Google Cloud. Configuration that breaks policy is blocked at deployment or corrected within minutes.
Controls mapped once to ISO 27001, SOC 2, PCI DSS, HIPAA and GDPR, then evidenced continuously from live cloud state. Auditors get a current control view instead of a screenshot pack assembled the week before.
Least privilege by default, standing admin access removed, and time bound elevation with full session logging. Secrets move out of repositories and pipeline variables into a managed vault with automatic rotation.
Cloud posture management, container runtime detection and Kubernetes admission control, wired into your monitoring and incident process. Exposure is detected, contained and evidenced without waiting for a quarterly scan.
Budget guardrails, showback by team and product, commitment planning and continuous rightsizing. Every engineering team sees what it spends and owns its own number, so waste is removed at source rather than escalated.
These are the ranges our enterprise clients typically see within the first 12 months. We baseline your current pipeline, cloud posture and spend during the assessment, then commit to targets in the contract.
Vulnerabilities and misconfigurations resolved inside the pipeline before they reach production.
Achieved by automating approvals and evidence, not by loosening controls or adding freeze windows.
From rightsizing, commitment planning and waste removal, tracked and attributed to each team.
Control evidence collected continuously instead of assembled manually ahead of every audit cycle.
Guardrails go live in six weeks: current state and risk baseline, landing zone and policy design, pipeline integration, then handover with continuous governance reporting and agreed exit criteria at each gate.
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Scanners produce findings. Governance produces closure. Most teams already have tools that generate thousands of alerts nobody owns, which is why the same issues appear quarter after quarter. We do three things differently: we tune and consolidate the tooling so noise falls, we route every finding to a named owner with a defined remediation window, and we enforce policy at the deployment gate so a known critical issue cannot ship. The measure of success is findings closed and repeat rate, not findings raised.
The opposite, in most cases. What slows releases today is manual approval: a change advisory board, a security sign off, an evidence request. When policy runs as code, the approval happens in the pipeline in seconds and only genuine exceptions need a human. We hold pipeline duration as a contractual metric alongside the security metrics, so a control that adds unacceptable build time gets redesigned rather than tolerated.
No. We work with what you already own, whether that is GitHub, GitLab, Azure DevOps, Jenkins, Terraform, Kubernetes, or a native cloud toolchain, and with your existing scanning and posture platforms. Where a genuine capability gap exists we will say so, show the cost of closing it with your current licences first, and only then recommend something new. Tool consolidation usually funds a meaningful part of the programme.
Through a central policy library with distributed execution. Standards for identity, network exposure, encryption, logging, tagging and residency are defined once and translated into native controls for AWS, Azure and Google Cloud. Platform teams then consume approved modules and landing zones on demand. Nobody waits for a central team to provision an account, and nothing is provisioned outside policy.
A live control register mapped to your frameworks, where each control shows its current state, the systems in scope, the last evaluation timestamp and any accepted exception with an expiry date and approver. Clients typically cut audit preparation from weeks of manual collection to a working session, because the evidence is generated from real cloud state rather than reconstructed after the fact.
A dashboard reports spend. Governance changes it. We enforce tagging at provisioning so every resource has an owner, publish showback by team and product, and set budget guardrails that alert and, where you want it, block. On top of that runs a monthly optimisation cycle covering rightsizing, idle resource removal, storage tiering and commitment planning, with savings signed off by both finance and engineering so they are real rather than theoretical.
We start with a risk based inventory rather than a rewrite. Workloads are grouped by exposure and business criticality, then protected at the boundary through network controls, identity, patch discipline and runtime monitoring while the application itself stays unchanged. Pipeline level controls are introduced only where an active development team can act on them. Anything genuinely unsupportable is flagged with a modernisation or retirement recommendation and an indicative cost.
A fixed price assessment and design phase, followed by a monthly managed governance service sized by cloud footprint and number of pipelines. Remediation projects are quoted separately so you keep control of scope and sequence. Delivery runs from our centres in India, the United States and the United Kingdom with a named lead architect and a governance manager for your account. Coverage windows and residency constraints are defined in the contract.
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Book a 45 minute assessment with our cloud and DevSecOps architects. You will leave with a clear view of where your pipeline and cloud posture are exposed, and what it costs you today.