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Advancing DevSecOps with policy-as-code

Enterprise computing has recently seen a considerable transition as a result of DevOps adoption. With the use of features like serverless computing, dynamic provisioning, and pay-as-you-go cost models, DevOps methods help enterprises get a number of value-added benefits, including enhanced agility, speed, and cost reduction.

DevOps has been found deficient in situations requiring the secure delivery of code, despite the fact that it is extremely popular. As a result, a novel strategy known as "DevSecOps" was created, which makes it easier for information security and DevOps to coexist.

The Need for DevSecOps

By coordinating the efforts of the development and operations teams, DevOps has allowed for the much faster development of specialised software and business applications. Yet, security has typically not been given a high priority in DevOps deployment and is frequently seen as a barrier to quick development.

Empower secure coding

Machine Learning Operations

Enables quick, IDE-based testing so your developers can quickly find and fix weak points in their code before delivering software downstream. Without ever leaving the IDE, developers may correctly and rapidly identify security flaws and view comprehensive remedy instructions. Reduce time needed for correction and improve developer security standards without affecting workflows.

Accomplish efficient testing

Optimize the impact on your risk posture while minimising friction in your DevOps workflow. By employing established strategies to make sure the appropriate tests are run at the appropriate times, intelligent orchestration enables you to streamline AST integration and remove pipeline congestion.

Examine security at runtime

By observing background web app interactions, interactive application security testing (IAST) can convert functional tests into security tests. Your organisation may discover real dangers that materialise during runtime with the aid of the Seeker® auto-validation capability. Seeker spares you from having to run manual security scans that hinder production and stress developers by giving results in seconds with almost no false positives.

Advanced Security that really works for DevOps

Enables businesses to use AI-powered predictive analytics to transform how their processes are run. To make the process of creating scalable predictive models simpler and faster, TechnoSoft Group provides a collection of software tools.

Accelerated Remediation

Advice on contextual remediation that is prioritised and identifies the most important CVEs,Use enhanced CVE data for remediation that is user-friendly for developers

Protect Against Malicious Activity

By binary-based analysis, security concerns that appear after code generation can be avoided. Keep harmful packages out of your development workflow by detecting them.

Exerienced Agents

Integrate comprehensive SECURITY into your devops approach.

Drive cross-team cooperation and trust centered on deep security research that automatically delivers unparalleled visibility into issues, impact, and actionable advice for every stakeholder,Sharpen developer focus with prioritized, contextual remediation advice that identifies what matters most to ensure you’re protected.

  • See What No One Else Sees
  • Find, Fix and Fortify
  • Secure From One Place
  • Take Intelligent Action


  • Which security tests can I automate with Synopsys?

    For software composition analysis (SCA), interactive application security testing (IAST), static application security testing (SAST), and dynamic application security testing, Synopsys offers automated solutions (DAST). They can be set up using established policies and process triggers and integrated and automated in CI/CD pipelines. Additionally, enterprises may integrate security testing across technologies and suppliers with the help of Synopsys Intelligent Orchestration.

  • Where is the best place to integrate security in a CI/CD pipeline?

    By using a "shift everywhere" strategy, security is integrated into the CI/CD pipelines and the SDLC (Software Development Life Cycle). To do this, implement static and software composition analysis during build and within repositories and registries. Additionally, execute dynamic, preproduction analysis in staging and test environments to validate real risks that materialise in runtime.

  • How do I establish security gates without slowing down development or DevOps?

    Using policies as code, Code Dx and Intelligent Orchestration collaborate to set up security gates for DevOps processes and CI/CD pipelines. This makes sure that, given the context of the application, only the appropriate tests are run at the appropriate times, with real risk validation and issue prioritisation. As a result, testing is expedited, process effectiveness and efficiency are increased, and vulnerability backlogs are reduced.

  • How do I make policies that apply across many application security testing tools?

    Teams may express their application security policies as code with the help of intelligent orchestration, which then uses those policies to assess code modifications and other SDLC events and launch the required security tests. Teams can now carry out only the tests that are required, in the required depth, and at the required time.

  • What’s the best way to organize a DevSecOps program?

    Establishing intelligent security orchestration for each test type at various stages of the SDLC and CI/CD pipelines, adding security testing and remediation in the IDE so developers can find and fix issues as they write code, and collating, correlating, and managing risk data to enable effective risk prioritisation and remediation are key steps in organising a DevSecOps programme.

  • How do I make a DevSecOps program that includes tools from different testing tool providers?

    To support extensible DevOps integrations, including AppSec tools and services, as well as third-party commercial and open source solutions, Intelligent Orchestration leverages API calls. GitHub Actions, industry-recognized source code management systems, continuous integration build servers, bug trackers, and dashboarding systems are also supported in crucial ways. It may be hosted on cloud pipelines like AWS and Microsoft Azure in addition to supporting on-premises deployment.

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