DevSecOps solutions

Deploy secure code faster with policy-driven automation, shift left security and real time observability, with AI at its core.

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Security that accelerates app deployment and delivery

Embed security, compliance, vulnerability, and exposure management into every step of your DevOps pipeline – from infrastructure provisioning to runtime - with automated, real-time checks, insights, and validation.

Make security a default

With code level risk detection along with validated infrastructure definitions, automated policy enforcement, continuous observability, and governed remediation, security becomes a default - not an after thought

Prioritize risks with AI-driven intelligence

Use AI powered prioritization to empower teams to focus on most critical vulnerabilities and problems that can break production or block releases instead of chasing low value alerts

Build guardrails into code and infrastructure

Security and policy checks are embedded directly into code, infrastructure as code, and developer workflows so teams catch issues while they build instead of after pipelines break

Accelerate secure code delivery

Empower teams to ship secure applications faster by reducing rework and delays with automated testing, real-time insights, and streamlined security processes.

Security challenges in the DevOps pipeline

Vulnerability discovered too late

Vulnerabilities often surface after builds complete, triggering rework and delaying delivery. Early, automated checks detect vulnerabilities early, prioritize the most critical issues, and streamline remediation. This reduces friction and prevents risky code from progressing.

Digital rendering of a block from the Automation Tool Kit displaying different wires that connect monetary values to outputs, showcasing financial accountability and visibility of resources
Digital rendering of a block from the Automation Tool Kit displaying an input for natural language that generates code and a screen with 3D objects that represent cloud infrastructure showcasing the development of code to manage assets

Slow and manual CI/CD setup

Traditional monitoring tools are difficult and time-consuming to set up, requiring extensive experience with coding and scripting. These tools are also prone to causing false alerts due to issues such as minor UI changes. 

Alert noise and inefficient triage

IT teams can struggle to prioritize alerts due to lack of context, creating noise and slowing incident triage. Intelligent correlation of application signals and impact-based alert ranking can reduce noise and accelerate root cause identification.

Digital rendering of a block from the Automation Tool Kit displaying a wheel, a transparent box, and carousel-like structure that contains different apps showcasing application management and AI-driven insights
Digital rendering of a block from the Automation Tool Kit displaying a block with a map with emerging objects representing operation status and sliders, showcasing physical asset performance management

Inconsistent, ungoverned infrastructure changes

Manual cloud edits, environment drift, and inconsistent templates increase operational, security, compliance and cost risks. Establish policy driven IaC as the system of record, enforcing policy-as-code guardrails.  Standardize and ensure that every change is versioned, validated, and compliant across hybrid environments. 

Patch overload and error prone workflows

Companies juggle thousands of assets and constant updates, making manual patching slow and error prone. High risk, heavy documentation, and compliance pressure make timely patching difficult.

Digital rendering of a block from the Automation Tool Kit displaying a transparent compartment filled with organized squares and a scanner, on top, that identifies problematic issues across the application stacks  

AI-powered DevSecOps without the tool sprawl

Photography by Landon Nordeman of a client interacting with a digital screen displaying a network graph with interconnected nodes and clusters at IBM Think 2024 in Boston, Massachusetts
IBM Instana
Detect issues early and accelerate CI/CD with real-time insights
Person in modern office setting using a television screen to present code for teamworkers
IBM Concert
Continuous risk visibility and automated remediation
Two individuals are seated at a shared desk featuring dual monitors, office chairs, and a whiteboard with colorful diagrams and notes in a modern office environment
IBM Terraform
Build policy-driven infrastructure for secure scaling-as-code
Take the next step

IBM’s DevSecOps solutions weave security into every layer of your IT stack

  1. Get the shift-left security guide
  2. Get the DevOps Observability Guide