TL/DR: DevSecOps transformation in DoD environments often falls victim to five common anti-patterns that undermine the goal of delivering secure software at speed. The first anti-pattern, treating security as a gatekeeping function, creates bottlenecks and forces difficult tradeoffs between schedule and security—instead, embed security expertise throughout development and implement automated security scanning. The second anti-pattern, maintaining manual compliance documentation, creates dangerous disconnects between documented controls and operational reality—implement compliance-as-code approaches that automate evidence collection and documentation generation. Environment inconsistency, the third anti-pattern, undermines reliable deployments and introduces security risks—use Infrastructure as Code and containerization to ensure consistency across environments. The fourth anti-pattern, siloed teams and knowledge, prevents the collaboration essential to DevSecOps—create cross-functional teams and communities of practice while establishing robust knowledge-sharing processes. Finally, treating CI/CD as just a tool implementation leads to expensive toolchains without improved outcomes—focus on clear objectives, incremental improvement of friction points, and cultural change alongside tooling. By addressing these anti-patterns through the practical steps outlined in this blog, DoD contractors can accelerate their DevSecOps transformation and deliver greater value to defense customers.
Introduction
As the Department of Defense continues its enterprise-wide adoption of DevSecOps practices, contractors face both unprecedented opportunities and significant challenges in transforming their software delivery capabilities. Our recent whitepaper, “White Paper on DevSecOps Implementation,” outlined the fundamental principles and implementation strategies for successful DevSecOps adoption in defense environments. However, even well-intentioned DevSecOps initiatives can fall victim to common anti-patterns—established practices that appear beneficial but ultimately undermine the goals of speed, security, and reliability.
These anti-patterns are particularly prevalent in DoD programs where traditional development approaches, complex compliance requirements, and organizational silos create fertile ground for implementation missteps. In this blog, we’ll examine five of the most common DevSecOps anti-patterns we’ve observed across the defense industrial base, providing concrete examples and actionable alternatives for each. By recognizing and addressing these counterproductive patterns, DoD contractors can accelerate their DevSecOps transformation and deliver greater value to their defense customers.
Anti-Pattern #1: Security as a Gatekeeping Function
In DoD programs, security teams traditionally function as final gatekeepers who approve or reject fully developed systems before deployment. This approach creates a devastating bottleneck where security issues are discovered only after significant development resources have been invested, leading to costly rework cycles and schedule delays. We’ve witnessed programs where deployment windows were missed by months because security findings required substantial architectural changes that could have been addressed in early design phases.
This pattern is particularly damaging in classified environments where access restrictions between development and security teams further complicate communication and resolution of issues. The end result isn’t just inefficiency—it’s a false choice between meeting schedules and maintaining security standards, forcing program managers into impossible decisions.
Contractors can overcome this anti-pattern by implementing the following three key practices:
First, integrate security team members directly into development teams, ensuring security expertise is available during requirements analysis and design sessions when architectural decisions are being made. This integration should include formal roles and responsibilities that establish security professionals as consultants rather than just auditors.
Second, implement automated security scanning in your continuous integration pipeline that flags common vulnerabilities immediately upon code commit, providing developers with immediate feedback without waiting for formal security reviews. Tools like SonarQube and Fortify can be configured to enforce DoD-specific security requirements and STIG compliance.
Third, establish security champions within development teams—engineers with additional security training who can serve as the first line of defense and liaison with dedicated security personnel. These champions promote security awareness in daily development activities and help translate security requirements into practical implementation guidance for their peers.
Anti-Pattern #2: Manual Compliance Documentation
The second major DevSecOps anti-pattern plaguing DoD programs is treating compliance documentation as a separate, manual process disconnected from actual development activities. We regularly observe programs where engineers build systems according to technical requirements while compliance teams simultaneously create RMF documentation packages with minimal interaction between the two efforts.
This disconnect leads to serious consequences: documentation that doesn’t accurately reflect implemented controls, evidence collection that becomes a mad scramble before audits, and security teams forced to reverse-engineer artifacts to satisfy Authorization to Operate (ATO) requirements. The situation worsens as systems evolve through continuous delivery while compliance documentation remains static, creating ever-widening gaps between documented controls and operational reality. Many contractors find themselves maintaining parallel “compliance environments” that match documentation but differ significantly from production, undermining the very security guarantees compliance frameworks aim to provide.
DoD contractors can address this anti-pattern by implementing a “compliance as code” approach with three practical steps.
First, define compliance requirements as automated tests within your CI/CD pipeline, converting control statements from frameworks like NIST 800-53 or CMMC into executable checks that verify implementation. For example, password complexity requirements can be tested automatically against actual configurations rather than documented in static spreadsheets.
Second, implement automated evidence collection by configuring your development tools and infrastructure to generate audit-ready artifacts during normal operation. Tools like OpenSCAP can continuously validate system configurations against compliance benchmarks, while version control systems can maintain immutable records of change approvals and testing.
Third, adopt documentation generation tools that pull real-time data from your systems to create living compliance packages. This ensures documentation accurately reflects the current state of controls and dramatically reduces the manual effort required for audit preparation, allowing teams to focus on addressing actual security gaps rather than paperwork discrepancies.
Anti-Pattern #3: Environment Inconsistency
Environment inconsistency ranks among the most persistent challenges for DoD programs attempting to implement DevSecOps, with development, testing, and production environments that diverge in critical ways despite appearing identical on paper. This inconsistency manifests uniquely in defense contexts where classified and unclassified development often occurs in physically and logically separated networks with different toolsets, configurations, and security controls. We’ve observed programs where code passes all tests in development environments only to fail spectacularly when deployed to production due to subtle differences in network configurations, security implementations, or available resources.
The consequences extend beyond technical failures to serious security implications—vulnerabilities that don’t appear in testing environments suddenly emerge in production, while performance characteristics change dramatically across environments. This inconsistency fundamentally undermines the DevSecOps promise of reliable, repeatable deployments and forces teams to maintain extensive environment-specific workarounds that further exacerbate the divergence.
DoD contractors can combat environment inconsistency through three proven approaches that work even within the constraints of classified environments.
First, implement Infrastructure as Code (IaC) practices using tools like Terraform or AWS CloudFormation that define your entire infrastructure in version-controlled configuration files. These definitions should include not just server specifications but security groups, network settings, and service configurations—ensuring environment creation is repeatable and consistent.
Second, adopt containerization technologies like Docker and Kubernetes to package applications with their dependencies, ensuring consistent behavior regardless of underlying infrastructure. Even in air-gapped environments, container registries can be established to maintain consistent image distribution.
Third, create environment parity verification tests that explicitly check for differences between environments as part of your pipeline. These tests should verify network configurations, available services, security implementations, and resource allocations to catch divergence before it impacts deployments. Each environment should be treated as a product with rigorous testing and validation, not as infrastructure to be managed separately from applications.
Anti-Pattern #4: Siloed Teams and Knowledge
Siloed teams represent one of the most entrenched anti-patterns within DoD programs, where traditional organizational structures and security requirements often reinforce separation between development, security, and operations personnel. These divisions manifest as development teams with limited understanding of security requirements, security teams lacking contextual knowledge of application functionality, and operations teams excluded from architectural decisions that directly impact system maintainability.
The problem becomes particularly acute in classified environments where physical separation, network segregation, and need-to-know restrictions create additional barriers to collaboration. We’ve observed programs where critical institutional knowledge remains locked in the minds of a few specialized individuals, creating single points of failure and significant project risks when these team members transfer or leave. This siloing doesn’t just impact efficiency—it fundamentally undermines the shared responsibility model that forms the foundation of successful DevSecOps implementation.
Contractors can break down these silos while respecting necessary security boundaries through three proven approaches.
First, implement cross-functional teams organized around capabilities rather than technical specialties, ensuring each team includes development, security, and operations expertise appropriate to the classification level of the work. This restructuring should be formalized through updated roles and responsibilities that emphasize collective ownership of outcomes rather than narrow technical contributions.
Second, establish communities of practice that bring together specialists from across teams to share knowledge, establish standards, and solve common challenges. These communities can operate even in classified environments through regular, properly secured meetings and knowledge repositories that respect clearance requirements while facilitating authorized information sharing.
Third, create comprehensive documentation and knowledge-sharing processes that capture decision rationales, architectural insights, and operational considerations in accessible repositories. Tools like Confluence, secured GitHub wikis, or classified documentation systems can transform tribal knowledge into organizational assets that survive personnel changes and enable broader participation in critical decisions.
Anti-Pattern #5: Treating CI/CD as Just a Tool Implementation
The fifth DevSecOps anti-pattern pervasive in DoD programs is approaching Continuous Integration and Continuous Delivery as merely a tooling problem rather than a fundamental shift in development philosophy and culture. We frequently encounter programs that have invested millions in sophisticated automation tools—Jenkins pipelines, automated testing frameworks, and deployment orchestration—yet continue to deliver software at the same glacial pace. These organizations often point proudly to their tooling implementations while their teams continue working in essentially the same manner as before, with infrequent integration, manual approvals, and batched releases.
The root cause typically lies in leadership viewing DevSecOps as a technical checkbox rather than an organizational transformation. This tooling-first approach creates a veneer of modernization while failing to address the underlying processes and cultural elements that truly determine delivery performance. The result is predictable: expensive toolchains that generate impressive dashboards but fail to deliver the promised benefits of faster, more secure software deployment.
Contractors can avoid this anti-pattern by taking three outcome-focused approaches to CI/CD implementation.
First, begin your DevSecOps transformation by establishing clear, measurable objectives tied directly to program outcomes—such as reducing security defect escape rates, decreasing time from requirement to deployment, or improving system reliability. These metrics should be tracked from the beginning and should drive tool selection rather than vice versa.
Second, implement change incrementally with a focus on removing specific friction points in your delivery process. Rather than deploying a comprehensive CI/CD platform at once, identify your most painful bottlenecks—whether in testing, security reviews, or deployment procedures—and address them individually with appropriate automation.
Third, invest as much in training and cultural change as in tooling. This means dedicating resources to helping teams understand and embrace new ways of working, restructuring incentives to reward collaborative behaviors, and ensuring leadership actively demonstrates commitment to DevSecOps principles. The most successful DoD contractors recognize that while tools enable the transformation, it’s the people and processes that ultimately determine whether a DevSecOps implementation succeeds or fails.
Final Thoughts and Next Steps
Recognizing and addressing these five anti-patterns represents a critical step toward realizing the full potential of DevSecOps in DoD environments, but transformation doesn’t happen overnight. Begin by conducting an honest assessment of your organization’s current practices, identifying which anti-patterns most severely impact your delivery capabilities and prioritizing improvements accordingly.
Remember that successful DevSecOps adoption requires commitment at all levels—from executive leadership providing clear direction to individual team members embracing new ways of working. The rewards of this transformation extend far beyond technical improvements, enabling your organization to deliver better capabilities to warfighters, respond more rapidly to emerging threats, and maintain competitive advantage in an increasingly digital battlespace.
Satine Technologies can help guide your transformation journey with tailored assessments, implementation roadmaps, and training programs specifically designed for DoD contractors operating in classified and unclassified environments.
Contact us today to schedule a DevSecOps readiness assessment and take the first step toward breaking free of these common anti-patterns that may be holding your programs back.