CI/CD Security for the modern software factory.
Secure every change from developer and AI-generated code through build, test, deployment, and production. Continuously find security weaknesses, govern access, prioritize exploitable risk, and verify remediation across the software delivery lifecycle.
Protect the software delivery pipeline from source code to production.
CI/CD security combines application security testing, software supply chain security, secrets detection, infrastructure security, access controls, and security policy enforcement to identify and prevent unacceptable risk as software moves through build, test, and deployment workflows.
The modern software factory includes source control, CI/CD pipelines, build systems, dependencies, developer identities, AI coding tools, infrastructure automation, and deployment environments.
Software isn't built by developers alone anymore.
Source control and CI/CD connect the people, machines, and AI systems that create and deliver software. Every one of them can change your application risk.
Developers create and approve change.
Developers, DevOps teams, platform engineers, and contractors work across repositories and pipelines.
Pipelines build and deploy change.
Build systems, CI/CD workflows, service accounts, and deployment infrastructure move software toward production.
Agents can now create change.
Coding assistants, AI agents, and MCP-connected tools can generate code and participate directly in development workflows.
Secure every change before it becomes risk.
Apply the right application-security checks as software moves from source control toward production.
Secure the change.
Find weaknesses before code is merged.
Software supply chain security.
Secure what you depend on across packages, containers, and build artifacts.
Validate behavior.
Test whether application weaknesses can become real risk.
Explore Autonomous Penetration Testing →
Secure the environment.
Identify risky infrastructure and deployment changes.
Security tools find issues. Context tells you what matters.
Security tools can generate hundreds of separate findings across code, dependencies, infrastructure, identities, and runtime. Aptori shows how those findings relate to the application so teams can identify which risks are exploitable, what they affect, and where to fix them.
Explore the Application Context Graph →Context Graphfindings • identities • repositories
pipelines • infrastructure • application behavior
Every path to production begins with an identity.
Source control security is also about who—or what—can create, approve, modify, and deploy software.
Human access
Understand repository, branch, and development access.
Automation access
Control which pipelines, services, and automation can modify or deploy software.
Agent permissions
Control which AI agents can create code, use development tools, or change infrastructure.
Secrets + privileges
Identify sensitive credentials and the access they enable.
Secure AI-generated code in CI/CD.
AI is changing who writes software—and how fast. Discover AI coding assistants and agents, control what they can access and change, test generated code, and apply the same security standards to every software change.
Humans + AI
Developers, coding assistants, autonomous agents, and MCP-connected tools create change.
Every change enters the same workflow.
Code, dependencies, configuration, and infrastructure changes move toward production.
Human-written or AI-generated. Same security standard. Every change.
Continuously test, prioritize, govern, and verify before release.
Security belongs in the workflow—not in the way.
Give developers the evidence, root cause, and remediation guidance they need where software changes are reviewed.
Authorization bypass
Automate the security decisions that slow teams down.
Define acceptable risk and apply it consistently as software moves through source control and CI/CD.
Ready to progress
Needs attention
Stop unacceptable risk
Understand application security posture—not just vulnerability counts.
Bring code, dependencies, secrets, infrastructure, containers, identities, CI/CD, and application behavior into one continuously updated view of application security posture.
Explore Application Security Posture Management →Explore Continuous Vulnerability Management →
Security where software is built and shipped.
Integrate application security into GitHub, GitHub Actions, GitLab CI/CD, Jenkins, and Azure DevOps so security testing and policy enforcement happen inside existing developer workflows.
Secure the entire software factory.
Developers. AI agents. Source code. Dependencies. Pipelines. Infrastructure. Applications. Continuously understand and reduce the risk moving from source control to production.
Find risk earlier.
Continuously test software as it is created and changed.
Know what matters.
Use application context and exploitability to prioritize meaningful risk.
Prove risk is closed.
Retest the affected path and verify the outcome.
Source Control & CI/CD Security.
What is CI/CD security?
CI/CD security protects the software delivery process by continuously testing code, dependencies, secrets, infrastructure, containers, APIs, and deployment changes while preventing unacceptable risk from progressing toward production.
What is source control security?
Source control security protects repositories, code changes, credentials, access, and development workflows so that authorized and sufficiently secure changes progress toward production.
How do you secure a CI/CD pipeline?
Secure a CI/CD pipeline by controlling access, protecting secrets, testing code and dependencies, validating infrastructure and containers, enforcing security policy, and preventing high-risk changes from progressing toward production.
How does AI-generated code change CI/CD security?
AI coding assistants and agents can create software changes at greater speed. Organizations increasingly need visibility into AI development tools, agent permissions, generated-code security, and the controls applied to automated changes.
What security tests should run in CI/CD?
Depending on the application and stage, CI/CD security can include SAST, software composition analysis, secrets detection, IaC security, container security, API security, security policy checks, and application behavior testing.
Secure every path from source code to production.
Continuously understand, prioritize, and verify application risk as software moves through your delivery pipeline.
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