LambdaTest, a unified agentic AI and cloud engineering platform, has announced its partnership with MacStadium(link is external), the industry-leading private Mac cloud provider enabling enterprise macOS workloads, to accelerate its AI-native software testing by leveraging Apple Silicon.
The incorporation of generative AI and machine learning into DevSecOps has unlocked significant potential to improve organizational efficiency in software development. Yet, despite these developments, mitigating friction between development and security teams remains a persistent challenge.
DevSecOps practices aim to align these two areas, but security and development practitioners often differ in their priorities, approaches, tools and processes. Poorly executed DevSecOps practices can create conflict instead of driving the positive collaboration they were designed to achieve. Additionally, inherent differences across practitioners, tools and leadership may lead to uneven support between teams, resulting in potential vulnerabilities and organizational inefficiencies.
To bridge this gap, it's crucial to foster collaboration and mutual understanding between development and security teams. By creating a balance where both groups can be successful and efficient while staying aligned, DevSecOps practices can help organizations achieve true collaboration while minimizing risk.
Here are a few practices to help reduce friction between developer and security teams, building a streamlined and secure development lifecycle:
1. Utilize Tools that Balance Security and Development
Selecting the right DevSecOps tools is critical. Each tool has associated strengths and weaknesses depending on a team's needs. Tools designed for security practitioners may not always align with developers' needs, which often aim to increase efficiency and ease of use. For example, a security tool's focus on finding the most possible issues may in turn generate excessive false positives as a byproduct, causing frustration and possible resistance from development teams adhering to security practices in the future.
On the other hand, developer tools optimized for ease of use can lack the needed depth for thorough security analyses, potentially leading to avoidable vulnerabilities and a false sense of security.
As a result, it's crucial to look for solutions that balance security and developer needs, offering comprehensive security features along with easy integration into existing development systems and processes. This approach maximizes both security and efficiency while minimizing friction between practitioners.
2. Harness AI to Boost Efficiency Across Developer and Security Teams
The rapid advancement of AI has provided new tools and methods to improve organizations' security posture and developer efficiency. Automation in security testing can significantly streamline the development process while maintaining high security standards.
For example, generative AI can automate and scale complex, time consuming tasks such as auditing and explaining code security issues, ensuring that developers are able to prioritize and efficiently reduce a backlog of vulnerabilities. Combined with automated testing into the CI/CD pipeline for early detection of vulnerabilities, the promise of DevSecOps becomes more achievable at scale.
3. Provide Accessible and Actionable Code Security Policies
Clear documentation and governance policies are vital for maintaining security standards across development teams. This includes documenting security requirements, incident response plans and procedures for evaluating third-party software components. With the SEC's new disclosure rules(link is external) requiring public companies to disclose a security incident within 4 business days after detection, this is especially vital.
Maintaining accessible and comprehensive documentation ensures that all team members are aware of security practices and can follow them easily. Providing developers with seamless access to relevant requirements and guidelines natively in their DevSecOps tooling helps them integrate security practices efficiently and build software without interruption.
4. Continuously Monitor and Adapt
Security is an ongoing process, not a one-time setup. As a result, it's vital to regularly monitor security measures and adapt to new threats and vulnerabilities. This involves updating security policies, refining tools and processes, and staying informed on the latest security developments. As these changes occur, effective communication is needed to keep developers informed and teams aligned.
Continuous improvement ensures that DevSecOps practices remain balanced and effective in the face of evolving threats. Regular communication and cross-functional meetings can also help align perspectives and create solutions that satisfy both security requirements and development needs.
To achieve the desired collaboration from DevSecOps, friction between security and development teams must be minimized. By implementing these practices, organizations can help development and security teams better work together to deliver high-quality and secure software.
Industry News
Tricentis announced a new capability that injects Tricentis’ AI-driven testing intelligence into SAP’s integrated toolchain, part of RISE with SAP methodology.
Zencoder announced the launch of Zen Agents, delivering two innovations that transform AI-assisted development: a platform enabling teams to create and share custom agents organization-wide, and an open-source marketplace for community-contributed agents.
AWS announced the preview of the Amazon Q Developer integration in GitHub.
The OpenSearch Software Foundation, the vendor-neutral home for the OpenSearch Project, announced the general availability of OpenSearch 3.0.
Wix.com announced the launch of the Wix Model Context Protocol (MCP) Server.
Pulumi announced Pulumi IDP, a new internal developer platform that accelerates cloud infrastructure delivery for organizations at any scale.
Qt Group announced plans for significant expansion of the Qt platform and ecosystem.
Testsigma introduced autonomous testing capabilities to its automation suite — powered by AI coworkers that collaborate with QA teams to simplify testing, speed up releases, and elevate software quality.
Google is rolling out an updated Gemini 2.5 Pro model with significantly enhanced coding capabilities.
BrowserStack announced the acquisition of Requestly, the open-source HTTP interception and API mocking tool that eliminates critical bottlenecks in modern web development.
Jitterbit announced the evolution of its unified AI-infused low-code Harmony platform to deliver accountable, layered AI technology — including enterprise-ready AI agents — across its entire product portfolio.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, and Synadia announced that the NATS project will continue to thrive in the cloud native open source ecosystem of the CNCF with Synadia’s continued support and involvement.
RapDev announced the launch of Arlo, an AI Agent for ServiceNow designed to transform how enterprises manage operational workflows, risk, and service delivery.