DEVSECOPS SERVICES
Security controls your developers use, not the ones they route around
DevSecOps runs security checks continuously inside the software delivery pipeline instead of reviewing code before release. Modus Create implements it in the order that earns developer trust: inventory first, then dependency scanning, then static analysis, then enforcement once the findings hold up. We benchmark your program against OWASP DSOMM, build the controls into the CI/CD you already run, and either hand the operating model back to your team or run it with you.
✓ AWS Security Competency ✓ AWS Life Sciences Competency ✓ GitHub Partner ✓ Snyk Partner
Where DevSecOps programs break down
Three failure modes show up repeatedly in the DevSecOps programs we are asked to assess or repair. They show up independently, and often together in organizations that bought tooling before agreeing on a rollout order.
Controls arrived in the wrong order
A team adds blocking static analysis on day one. The scanner is untuned, so most of what it flags is noise, and within a week someone has an exception to bypass it. That exception becomes the standard route to production. Reversing the impression costs more than the original rollout did, because you are now asking engineers to trust a system that already wasted their time once.
Four scanners, no severity model
Coverage looks complete on the security dashboard. On the engineering side it reads as duplicate findings with conflicting labels and no rule for deciding what gets fixed this sprint. Vulnerability backlogs in this state grow faster than anyone clears them, because new dependencies arrive continuously and nothing distinguishes an exploitable path from a theoretical one.
Compliance evidence assembled by hand
The proof an auditor wants already exists inside the pipeline. Scan results, approval records, deployment logs. Nobody wired it to come out the other end, so every audit turns into a collection exercise built on screenshots and email threads.
What our DevSecOps services cover
Four ways to engage, depending on whether you need a baseline, a strategy, hands-on implementation, or a team to run the program with you.
Assessment
DevSecOps assessment services
We assess your DevSecOps maturity across all six OWASP DSOMM dimensions: agentic AI, build and deployment, culture and organization, implementation, information gathering, and test and verification, alongside a technical review of what is actually running in your pipelines. Timeline: 2–4 weeks
INCLUDES
- OWASP DSOMM scoring across the six dimensions
- CI/CD pipeline and repository configuration review
- Dependency inventory and secrets exposure scan
- Tool estate overlap analysis across existing scanners
- Structured interviews with engineering, platform, and security leads
OUTCOMES
- A scored baseline you can take to a board or an auditor
- A ranked view of what to fix now and what can wait
- Visibility into where multiple tools are paying for overlapping coverage
- Sequenced 90-day and 12-month roadmap with effort estimates
Consulting
DevSecOps consulting
Consulting covers the decisions that precede tooling: who owns which control, what fails a build versus what raises an alert, how security work enters the engineering backlog, and which regulatory obligations the pipeline has to satisfy. We work with your platform, security, and compliance leads to settle those questions before implementation starts, because unresolved ownership is what stalls programs six months in. Timeline: 4–8 weeks, depending on size and scope
INCLUDES
- Target operating model and control ownership across teams
- Reference pipeline architecture for your stack and cloud
- Blocking versus alerting policy defined by severity
- Control mapping to SOC 2, HIPAA, GxP, ISO 27k, PCI-DSS, or other security and compliance obligations
- Tooling selection and consolidation strategy
- Business case and phased investment plan
OUTCOMES
- Ownership agreed before controls create disputes
- A target state your engineering leads have signed off on
- Tool decisions justified against coverage rather than vendor claims
Implementation
DevSecOps implementation
Implementation puts the controls into your existing pipelines in adoption order. New scanning controls typically begin in reporting mode so findings can be baselined and tuned against the codebase before risk-based enforcement is introduced. Timeline: 8–16 weeks for a first implementation wave, depending on pipeline count and regulatory scope
INCLUDES
- Software composition analysis for third-party dependencies
- Static application security testing with calibrated rule sets
- Dynamic application security testing on a workable cadence
- Infrastructure as code scanning ahead of deployment
- Container and build artifact scanning
- Secrets vault integration and rotation workflow
- Least-privileged access across repositories and build agents
- Policy as code with version-controlled enforcement rules
- Triage and suppression rules mapped to real severity rather than vendor defaults
- GitHub Advanced Security and Snyk configuration where those are in use
OUTCOMES
- Findings your developers act on
- Fast checks on every commit, slow checks on a schedule
- Fewer vulnerabilities reaching production, where remediation costs most
- Centralized secrets management and automated rotation workflows where supported
Managed services
DevSecOps managed services
We run the program with you on an ongoing basis: scanner tuning as your codebase changes, triage of findings, backlog prioritization, policy updates as risk tolerance shifts, and the evidence trail your auditors ask for. New dependencies bring new vulnerabilities faster than most teams clear the old ones, and rule sets drift out of calibration as applications evolve. Managed services covers the maintenance that programs lose to competing priorities.
INCLUDES
- Continuous scanner tuning and false positive suppression
- Vulnerability triage using severity, exploitability, reachability, exposure, and business context
- Backlog prioritization against your remediation capacity
- Policy and rule set updates as applications and regulations change
- Access and permission reviews on a defined cycle
- Monthly reporting on agreed performance indicators such as remediation time, exception volume, and policy pass rate
- Security champions support inside your engineering teams
OUTCOMES
- A program that stays calibrated instead of degrading after handover
- Vulnerability debt managed rather than accumulated
- Audit evidence current at any point in the year
- Predictable cost against an internal hire you may not be able to fill
Where we go further than a standard DevSecOps rollout
Governing AI-generated code as a supply chain risk
Coding assistants write a growing share of what enters enterprise pipelines. The output arrives fast and reads convincingly, which is what makes it easy to under-review. Generated code can echo insecure patterns from training data, reference packages that do not exist, or carry a subtle flaw a reviewer skims past because the code looks confident.
We treat it as untrusted input: the same scanning, the same blocking policy, no exemption for being machine-written. That includes dependency hallucination checks, a review workflow specific to generated code, and reviewer training on automation bias.
Compliance evidence as pipeline output
A well-designed DevSecOps program produces most of what an audit requires as a byproduct of how it already works. We design that capture deliberately rather than leaving it to be reconstructed later. Scan results, approval history, policy check records, and deployment logs are collected continuously and mapped to named controls under SOC 2, HIPAA, GxP, ISO 27k, PCI-DSS, or other compliance frameworks.
The effect on your compliance calendar is a change in the nature of the work. Instead of assembling evidence before an audit, your team validates a record that already exists.
DevSecOps in regulated environments
In life sciences, financial services, and automotive, the program carries a second obligation: proving the controls ran. For an organization operating under GxP, release approvals, validation records, and deployment history become pipeline output. In financial services and other highly regulated environments, applicable SOC 2 criteria, PCI DSS requirements, and internal control obligations can be mapped to automated checks with a timestamped enforcement trail.
Modus Create holds AWS Security, AWS Life Sciences, and AWS Generative AI competencies.
DevSecOps work in production
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Get started with DevSecOps
Introducing DevSecOps for the first time, or repairing a program your developers have learned to work around, the starting point is the same: an honest baseline. Our security and platform engineering teams can help you build an approach that fits how your teams deliver and what your regulators require.
Our experts
Alex Umeh
Security Engineer
Modus Create
Alex is a security leader with over 10 years of experience in cybersecurity strategy, governance, and security operations across payments, fintech, and technology environments. He has led security compliance and audit-readiness programs, strengthened cloud and product security, and built threat detection, SIEM/SOAR, and incident response capabilities. He holds CISSP, CCSP, AWS Certified Security – Specialty, and AWS Certified Solutions Architect certifications, with deep expertise in AWS security, DevSecOps, and risk management.
DevSecOps guides, insights, and resources
DevSecOps services questions answered
What is the difference between DevSecOps consulting and DevSecOps implementation?
Consulting settles the decisions: control ownership, target architecture, blocking policy, and which regulatory obligations the pipeline must satisfy. Implementation puts those decisions into your CI/CD, tuning each scanner against your codebase before it enforces anything. Organizations with a clear target state often skip straight to implementation. Those where security and engineering disagree on ownership should not.
What does a DevSecOps assessment include?
An OWASP DSOMM assessment across all six dimensions: agentic AI, build and deployment, culture and organization, implementation, information gathering, and test and verification, plus a technical review of pipeline configuration, dependency inventory, and secrets exposure. It runs two to four weeks and produces a maturity baseline, a tool overlap analysis, and a sequenced roadmap. The output is a rollout order, not a findings dump.
Do we need to replace our existing security tools?
Rarely. Most organizations already own more scanning capability than they use well. The recurring finding is overlapping coverage across three or four tools with no shared severity model, which generates noise rather than protection. We rationalize what you have, tune it against your codebase, and recommend additions only where a real gap exists.
Will security scanning slow our release cycle?
Every check adds time. The variable is where it runs and how well it is tuned. High-signal checks belong on every commit, dynamic testing belongs on a schedule, and irrelevant rules get suppressed rather than argued over. Teams that sequence this way usually recover the added pipeline time during the first tuning cycle.
How do you measure whether a DevSecOps program is working?
We typically measure a combination of remediation speed, finding quality, policy effectiveness, developer friction, and control coverage. Scanner coverage tells you what runs. These tell you whether anyone acts on it. Some examples of metrics are:
- MTTR by severity/risk tier
- vulnerability escape rate / production findings
- actionable-to-dismissed finding ratio
- exception count and exception age
- policy pass rate
- percentage of repositories/pipelines covered
- mean time from finding to triage
- recurrence/reopen rate
- critical vulnerabilities past SLA