Software Supply Chain: The Complete Guide

The software supply chain has become one of the largest surfaces in many companies. This is because, as businesses accelerate their digital transformations, they now rely on large networks of third-party applications (including open-source software), automated development environments, cloud-based infrastructure, and more. This introduces new levels of dependency and potential areas for exploitation. 

Attackers have taken notice. There has been a significant uptick in the number of software supply chain attacks and their impact is far-reaching. In some cases, attackers have compromised thousands of downstream systems through a single point of entry upstream. 

Attacks such as SolarWinds and Log4Shell demonstrate that traditional application security controls simply aren’t sufficient to protect against these threats, and new research shows software supply chain risk is one of the biggest blind spots for security teams.

Key highlights: 

• The modern software supply chain spans source code, open-source dependencies, CI/CD pipelines, build systems, cloud infrastructure, and third-party services—creating a fast-moving and highly interconnected attack surface across the entire SDLC. 
• The most significant software supply chain risks today come from open-source dependencies, CI/CD pipeline exposure, build and artifact integrity failures, secrets and credential leakage, and third-party and vendor relationships. 
• Leading software supply chain security frameworks such as SLSA, SBOM, NIST SSDF, NIST C-SCRM, and OpenSSF define the baseline controls needed to reduce systemic supply chain risk and improve consistency across development and security practices. 
• Securing the software supply chain requires tools like Cycode that combine end-to-end asset visibility, continuous dependency and SBOM management, contextual risk prioritization, CI/CD pipeline protection, and automated detection and monitoring.

What Is Software Supply Chain?

To identify potential threats to your software, you need to understand the software development process, specifically the components of the software supply chain. It can be broken down into two categories: the people who create the software (including vendors) and the automated systems used to develop the software. 

Image rec: Include a clean, end-to-end diagram showing the modern software supply chain all connected in a single flow: source code, open-source dependencies, developers, CI/CD pipelines, build systems, artifact registry, cloud/runtime, and third-party services. 

The software supply chain also includes all the different parts of the system that contribute to creating the software application. These include proprietary code written by the vendor, the vendor’s use of open-source libraries, tools for continuous integration and continuous delivery (CI/CD), build systems, cloud services, APIs, and third-party vendors.  

Unlike traditional supply chains, the software supply chain is dynamic and changes every day. In addition to new dependencies being added daily, pipelines are constantly updated through automation, and software applications are released multiple times a day. Understanding how each of these elements interacts with the others to secure today’s applications is crucial.

Key Risks in Software Supply Chain Development

New risks within a developing software supply chain exist because of security vulnerabilities that exist outside of an application’s source code. As organizations accelerate their development and rely more on automation and third-party providers, these risks will compound.  

Below are the most prevalent software supply chain risks, and the areas where most organizations struggle in terms of both visibility and control. 

1. Open-Source Dependencies 

Open-source components provide the foundation for today’s applications. They enhance development efficiency by reducing cost through the reuse of proven functionality rather than building from scratch.   

Despite their benefits, open-source components also introduce underlying risks, especially when used at scale. Most organizations rely on thousands of open-source dependencies that they did not author, formally review, or actively maintain. They may not even be aware they’re in use at all. The result? Blind spots across their software supply chains.  

Common risk factors include: 

• Known and unknown vulnerabilities that may be disclosed after a component has been deeply embedded in production systems and is no longer receiving security patches or updates.  

• Abandoned or unmaintained packages that will no longer receive security patches or updates. 

• Malicious dependency injections, such as typo squatting or compromised maintainers publishing poisoned updates to package managers. 

• License compliance violations introduce legal, operational, and security risks. 

Without continuous monitoring and contextual prioritization, vulnerable components can remain deployed well after fixes are available. Over time, these unmanaged dependencies accumulate, increasing both the likelihood and potential impact of a software supply chain attack. 

2. CI/CD Pipeline Exposure 

CI/CD pipelines are high-value targets because they are central to the software development supply chain. By controlling how code is built, tested, and released into production, a compromised pipeline can inject malicious artifacts into every downstream release, turning trusted automation tools into multipliers for bad actors. 

There are several key exposure points that include: 

• Pipeline configurations that lack proper validation, isolation, or execution controls which leave them vulnerable to attacks. 

• Service accounts that have overprivileged access to repositories, infrastructure, secrets, etc., with inadequate controls to prevent unauthorized use. 

• Build runners that are unprotected and may be hijacked by an attacker to modify build behavior or create malicious artifacts. 

• Lack of proper access controls that allow unauthorized users or systems to modify the logic of a pipeline.

At scale, security failures in CI/CD pipelines often go undetected until malicious code has spread across environments. That means a compromised CI/CD pipeline can silently undermine trust in every application release. 

3. Build and Artifact Integrity 

To avoid detection by developers, malicious actors are turning their attention to build processes and artifact repositories. This is accomplished through manipulation of trusted binaries, meaning a customer will receive a build they believe is legitimate and validated, but in fact has been manipulated. This creates an opportunity for the attacker to exploit their system without them being aware of it.  

Common issues include: 

• The use of unsigned or unverifiable artifacts that have no ability to track the artifacts back to a trusted build process. 

• Artifact storage methods that are insecure and allow for unauthorized modifications or replacements to be made.  

• Missing provenance tracking, so there is no way to verify where or how the artifact was produced. 

The bottom line: artifacts need to be validated, along with the provenance of the build process, to build trust across the entire software supply chain. Businesses will lose confidence in what they deploy if there are no strong validations of provenance and build and, worse, malicious actors will gain a significant advantage.  

4. Secrets and Credential Leakage  

Secrets are usually revealed as an incidental result of the desire for speed and convenience in development. Exposed credentials are then used to gain additional access into various environments (i.e., lateral movement) within the software supply chain.

Common sources of secret leaks include: 

• Accidental commits of API keys/access tokens via hardcoded entries into repositories. 

• Exposure of insecure environment variables through poorly configured pipelines or containers. 

• Build log exposures revealing sensitive data during execution. 

• Poorly monitored/maintained third-party integrations requiring credentials for access.  

This is one of the quickest ways to exploit a supply chain. There’s no need to break a window if you have front door keys in hand. More alarmingly, credential breaches provide bad actors with persistent access to key systems for an extended period of time post-initial breach. 

5. Third-Party and Vendor Risk 

Modern SaaS, API, cloud provider, and other third-party vendors are necessary for most organizations to serve their users at scale. These third parties accelerate the pace of innovation; however, they also expand the company’s attack surface and increase the likelihood of exposure to risk beyond the organization’s control.  

Common issues related to vendor risks include:

• A lack of transparency into how a vendor protects its own network from unauthorized access, or what processes it uses to develop new products or services. 

• Shared infrastructure dependency between multiple third parties that will create correlated failure points with all the other dependent third parties’ customer bases. 

• Risk that is transitive (or indirect) through third parties’ use of other third parties, thus creating a multiplier effect on potential exposures beyond just the relationship with the original third party.

• The time delay before a third party notifies an organization of a breach or potential vulnerability, which limits the organization’s time to respond.  

Continuous assessment and monitoring of third-party risk is essential for successful supply chain risk management in software-based industries. 

6. AI-Assisted Development and AI Supply Chain Risk

We can’t talk about software supply chain risks without talking about AI. 

According to Cycode’s 2026 State of Product Security research, 100% of surveyed organizations already have AI-generated code in their codebase, and 97% are actively using or piloting AI coding assistants. At the same time, only 19% report having full visibility into where and how AI is used across development, and 65% say their overall security risk has increased since adopting AI

This gap between rapid adoption and limited visibility creates a new class of software supply chain blind spots.

Common risk factors include:

• Untracked and ungoverned AI-generated code entering repositories and pipelines, making it difficult to establish provenance, review practices, and accountability for changes introduced by AI tools. 
• Shadow AI tools and integrations introduced outside formal procurement and security review processes. More than half of security leaders cite both AI tool usage and software supply chain risk as top blind spots, as unapproved assistants, plugins, and agents quietly become new dependencies in the delivery pipeline.
• Opaque models and workflows that prevent teams from validating how code, configurations, and logic were produced. Unlike human developers, AI systems are not vetted employees and introduce changes that are difficult to trace, audit, or assess for secure development practices.
• Expanded attack paths created by AI tools with broad access to source code, tickets, pipelines, and cloud environments. Compromised AI credentials, integrations, or agents can provide attackers with privileged entry points into multiple stages of the software supply chain.

Of course, AI is not only introducing new risk. It’s also becoming a critical part of the solution. 

AI-native product security platforms like Cycode use AI to help organizations regain visibility, enforce governance, and prioritize and remediate risk across AI-driven development workflows. We talk more about tools later in the article.

Why the Software Development Supply Chain Is Vulnerable

Software supply chain security is a challenge even for experienced companies. There are a few key factors that make this attack surface especially vulnerable:

• The number and variety of components involved in building modern applications make it difficult to gain broad visibility into the thousands of dependencies and tools/services used by most applications in rapidly changing environments. 

• While using open-source components can accelerate application development, it also shifts the responsibility for ensuring those components are secure to the upstream component maintainer.  

• Unfortunately, there is little standardization around how maintainers ensure security and how quickly they respond to security vulnerabilities once identified. 

• Automating (CI/CD) increases velocity, but unless there are sufficient guardrails in place, it often speeds up the deployment of insecure configurations before the security team can identify or correct the issue. 

• Due to fragmentation and the lack of coordination among teams using different tools within an organization, there is limited visibility into how risks propagate across repositories, pipelines, and production environments. 

• There is growing evidence that attackers are targeting their upstream vendors and tooling providers to damage numerous organizations through a single failure point.

What Are Software Supply Chain Attacks?

Software supply chain attacks happen when a malicious actor uses a trusted component of the software development or delivery process to obtain access to systems, users, or other environments downstream. Instead of finding one vulnerable application and using it to obtain access, an attacker finds a way to become part of the processes organizations use to develop, deliver, and execute their own software. 

Attacks on the software supply chain have two primary goals: the first is to find ways to insert themselves into the mechanisms organizations use to create and deploy their software (such as CI/CD pipelines). The second goal is to find ways to create and deliver malicious software.

Understanding Software Supply Chain Security Frameworks

The need to mitigate systemic risk is one of the reasons why many Software Supply Chain Security Frameworks have been established to define minimum controls and common standards for the industry as a whole.   

These frameworks enable entities to establish consistency in how their internal processes implement security controls, effectively demonstrating that they’re taking due diligence to secure their systems. 

Note: While establishing frameworks provides structure to an organization’s processes, successfully implementing a security program requires tooling support to operationalize controls. We cover this later in the article.

How to Secure the Software Supply Chain in 5 Steps

To mitigate risks, it is necessary to adopt a lifecycle-wide approach to securing the software supply chain. Below are five fundamental steps organizations should consider to reduce their exposure to potential threats while maintaining solution delivery velocity. 

1. Establish End-to-End Asset Visibility  

Modern development environments are now comprised of many different clouds, repositories, CI/CD systems, and third-party services. To “see” all (or even most) of a project’s environment and truly understand the risk, organizations have to continually scan, identify, and track all repositories, pipelines, dependencies, and runtime environments throughout the SDLC.

Without end-to-end asset visibility, security teams are forced to respond reactively to an incident once exposure occurs. That’s why end-to-end asset visibility is the basis for a proactive risk management approach.

Critical steps include: 

• Implementation of a centralized asset inventory system to provide a single view of all your code, pipelines, cloud environments, and third-party integrations. 

• Ongoing continuous discovery to identify newly introduced assets or changes in existing ones.

• Asset ownership designation to clearly define the accountabilities for both remediation and governance. 

• Environment mapping to identify how your various development, staging, and production environments interconnect.

TLDR: Visibility provides the foundation for effectively managing your supply chain software and will enable each downstream security control to operate correctly. 

2. Identify and Inventory Dependencies 

Modern software is built using tens of thousands of open source and third-party dependencies; many of these dependencies are subject to frequent updates and changes to which an organization may have no control. That’s why identifying potential dependency risks begins by understanding the components of your application, how they relate to one another, and their deployment locations.  

Documenting a company’s dependency landscape through a Software Bill of Materials (SBOM) is vital for understanding an organization’s dependencies. However, SBOM documentation must be continually updated, or it will lose its utility. 

Real-time automated tracking of changes to dependencies across build processes, repository activities, and environment deployments is necessary to effectively manage them. 

Practices to follow: 

• Automate dependency identification across source code, containers, and artifacts. 

• Generate SBOMs and validate them to ensure they are accurate and compliant with industry standards. 

• Use Dependency Health Scores to determine the likelihood of vulnerabilities within a dependency based on past vulnerability history, current maintenance, and usage popularity. 

• Track License Risk to prevent compliance issues from entering production. 

3. Prioritize Risk Based on Impact and Exposure

There are many diverse types of risk across the software supply chain, and when viewed in isolation or treated equally, they can quickly overwhelm a team’s ability to identify and remediate what truly matters. 

To do this, organizations need more than scanner output. They need context.

Specifically, teams must understand how vulnerabilities relate to the broader software supply chain, including the code, dependencies, pipelines, build systems, and runtime environments they are connected to. For example, does a vulnerable component actually run in production? Is it reachable by an attacker through exposed services or execution paths? Does it introduce a pathway into more sensitive systems or assets?

By applying a context-driven approach that correlates signals across the SDLC, organizations can move beyond disconnected findings and understand how risks propagate through their environments. This enables teams to cut through false positives and focus remediation efforts on the issues that create the greatest reduction in real business risk.

The four key elements that should drive the prioritization of identified vulnerabilities include:

• Availability of exploits, including whether there is evidence of active exploitation in the wild.
• Runtime exposure, such as whether the vulnerable component is reachable through internet-facing services, internal access paths, or privileged execution flows.
• Dependency criticality, which reflects how deeply and widely a component is embedded across applications, services, and build processes.
• Asset sensitivity, including whether the affected systems are connected to sensitive data, credentials, regulated workloads, or production-critical services.

4. Secure CI/CD Pipelines 

CI/CD systems must be treated like production-grade infrastructure, since they are where your software is built, tested, and deployed. If a pipeline is compromised, an attacker can inject malicious code into every deployment of your application without touching or altering your application’s source code.  

Hence why CI/CD pipeline security is a core component of software supply chain security. It directly affects the level of trust associated with each software release. 

Some examples of controls to secure a pipeline include: 

• Limiting access to your pipeline and to the users that run it, including the use of least privilege for pipeline users, service accounts, and integrations. 

• Protecting your pipeline secrets by not exposing them in your code and logs. 

• Harden your pipeline using configuration validation and change monitoring. 

• Validating integrity to ensure that the builds and artifacts being created have not been tampered with. 

5. Automate Detection and Monitoring 

Manual reviews and point-in-time audits cannot keep pace with the rapid, ever-increasing scope of today’s development environment.  

But when an organization embeds automated detection into its development and delivery processes, it can continuously detect misconfigured applications, vulnerable components, and policy violations in near real time, while still allowing developers to operate at maximum velocity. 

Automation provides: 

• Risk detection in real-time across code, pipeline, and dependency relationships. 

• Drift identification to catch unauthorized or unanticipated changes.

• Policy enforcement that adhere to the organization’s security standards. 

• Faster remediation through prioritized and actionable alerting. 

Ultimately, there needs to be a relationship between security and speed of development, and the only viable option to provide this relationship without introducing friction in the software supply chain is through automation.

What Are Software Supply Chain Tools?

Software supply chain tools are integrated platforms intended to identify, prioritize, and resolve risks across the whole software development lifecycle. These include: 

• Dependency analysis 
• Pipeline security  
• Secrets detection 
• Security governance

But using a collection of “point” products can create a lack of visibility across the SDLC, as well as inconsistent policy application and process friction for your engineering teams. 

This challenge is driving a broader shift away from fragmented security stacks. In Cycode’s 2026 State of Product Security report, 97% of organizations say they plan to consolidate their application security tools within the next 12 months, as security leaders look to reduce tool sprawl and regain unified visibility and control across their environments.

Importantly, though, consolidation alone does not solve software supply chain risk. Simply bundling multiple point tools under a single vendor still leaves teams with disconnected data, inconsistent context, and limited insight into how risks propagate across repositories, pipelines, dependencies, and runtime environments. Effective software supply chain security requires true platform-level convergence, where risks are correlated across the SDLC and prioritized using shared, code-to-runtime context.

How to Select the Best Software Supply Chain Tools

The key to selecting the right tools is understanding the balance between the technical capabilities and the operational fit. For example, a security platform should be able to support the organizational governance needs in addition to detecting the potential vulnerabilities. It also needs to be scalable with your company’s development velocity, and integrate into how your engineering teams currently operate. 

While every organization will have a different set of requirements to fulfil, the below list of features is a solid starting point to start evaluating solutions.

 Comprehensive SDLC Coverage 

Software supply chain tools require full coverage across all phases of the software development lifecycle, from the first line of code to application deployment in production. Lack of coverage creates blind spots for malicious actors to exploit. Solutions that only monitor at the repository level are a good example of this, as well as those that do not monitor beyond the runtime environment.   

To manage risk anywhere it exists in the SDLC, tools need to integrate insights about risk across all locations in the software development lifecycle.

Evaluation criteria:  

• Coverage from pre-commit to runtime so that all phases of the delivery process are protected  

• Support for multiple languages so that the tool supports a wide range of technology stacks 

• Native cloud support across containerized, serverless, and hybrid environments  

• Visibility into vendor risk to identify risks associated with third-party tools and services used within the SDLC 

Accurate Dependency and Asset Discovery 

Accuracy is a foundation for trust. When security professionals believe their tool has missed dependencies, incorrectly identified assets, or produced false positives, they lose confidence in the tool and stop using it.  

That’s why a robust discovery process must do more than just scan at the top level of the application. It must identify the full depth of the dependency tree, track and correlate all asset types across all environments they may exist in, and continue to adapt to changes as they happen within the environment. 

Some of the key characteristics of a strong discovery capability are: 

• Deep dependency resolution to identify all direct and transitive components 

• Transitive dependency tracking to identify inherited risk chains 

• Correlating asset identification across repository, build, and deployment levels 

• Continuously discovering and detecting all new or changed assets in real-time 

Context-Driven Prioritization Capabilities

Effective software supply chain security tools reduce noise by using context to determine which risks truly matter, rather than treating every finding as equal.

Context-driven prioritization combines technical signals with a deep understanding of how code, dependencies, pipelines, build systems, and runtime environments are connected. This allows teams to understand not only whether a vulnerability exists, but whether it is reachable, exploitable, and capable of impacting real business systems.

By correlating risk signals across the software development lifecycle, security teams gain the context required to accurately assess how issues propagate through the software supply chain and where remediation will deliver the greatest impact.

Teams can then make more confident decisions about where to focus limited engineering and security resources and resolve the issues that actually threaten production environments and business operations.

In practice, leading platforms use relationship-based context—such as Cycode’s Context Intelligence Graph—to continuously map how assets, components, pipelines, and environments are connected, and to enrich findings with real-world exposure and ownership context.

Look for capabilities such as:

• Context-enriched severity that incorporates exploitability, reachability, and exposure paths across the SDLC
• Business and asset context that identifies which applications, services, and workflows support critical business processes
• Threat intelligence that reflects which vulnerabilities and components are actively targeted by attackers
  Context-aware remediation guidance that reflects dependency relationships, ownership, and the operational impact of fixes

CI/CD and Developer Workflow Integration 

To be successful, security tools must integrate smoothly into CI/CD pipelines and developers’ workflows.  

Integration allows risks to be caught early and feedback to be provided in a way that developers can act on quickly. Integration can also enable the automation of security tasks, helping eliminate the need for manual review and approval of code changes. 

Key features include: 

• CI/CD native integrations with popular CI/CD tools and platforms 

• Feedback to developers via interfaces they are familiar with 

• Access to an API so that you can customize how the tool interacts with your own systems and use it to automate your own policies without impacting release timing 

Actionable Remediation Guidance 

A good software supply chain tool will enable the detection of vulnerabilities, reduce friction between Security and Engineering teams during an incident, and enable quick, efficient, and accurate resolution of identified issues. 

Detection of vulnerabilities is only part of the equation; actionable remediation (i.e., how to fix the vulnerability) provides the critical link between finding the vulnerability in your codebase and resolving it in production. 

The key characteristics of a strong platform include: 

• Offering clear and concise remediation instructions based on the specific vulnerability or weakness found  

• Providing ownership routing to ensure that the correct teams are notified when a vulnerability has been detected  

• Proving validation of the fix 

• Showing measurable results that demonstrate the effectiveness of the effort in reducing risk over time 

These features collectively deliver tangible security value.

Learn more about Cycode’s AI Teamates 

Best Practices for Reducing Software Supply Chain Risk

Protecting the software supply chain from cyber threats is an ongoing process that requires consistent focus. It can’t be a one-time thing; it has to become an integral part of everyday engineering and security practices.   

In addition to using tools with the features outlined above, the below principles will help you more effectively mitigate software supply chain security risks. 

1. Shift Security Earlier in the SDLC 

The sooner you integrate security into your product’s lifecycle, the less expensive and less painful your remediation will be. By fixing problems when they arise during the build process instead of during deployment, you reduce the damage from a possible (and very damaging) supply chain attack and get safe software to market faster.  

Key actions include: 

• Pre-Commit Scanning: Scan all new code before it gets into your repository for security issues as early as possible 
• Security Coding Standards: Use coding standards that include best practices for security to minimize the number of ways a developer can introduce a flaw that an attacker can exploit. 
• Enable Developers: Provide your developers with the resources they need to implement security in their day-to-day work, including training, tools, and guides. 
• Real-Time Feedback Loops: Provide developers with immediate notification of potential issues identified by your scanning tools so they can be corrected quickly. 

2. Reduce Dependency Sprawl 

Given that today’s modern applications depend on many third-party libraries and packages, these libraries and packages may contain malicious code or vulnerabilities. By removing unused dependencies and reducing the number of libraries an application uses you also reduce your company’s overall risk management costs. 

Here are some best practices for dependency management: 

• Review your dependencies and eliminate unused or redundant libraries to reduce the size of your software supply chain. 
• Create a master approved list of libraries that have been reviewed and meet your organization’s security standards.  
• Develop a strategy to standardize versions across all projects, making it easier to manage patches and proactively identify and address potential vulnerabilities in your libraries. 
• Perform regular audits to identify new vulnerabilities in your dependencies and evaluate how they are used within each project. 

 3. Secure Build and Release Processes 

Build and release pipelines are key attack vectors, as compromised artifacts can be distributed through the supply chain. Therefore, building in controls at this point is critical to maintaining integrity and trust within the supply chain.  

Controls include: 

• Artifact signing: Builds will be cryptographically signed to provide assurance of authenticity. 

• Provenance Validation: All artifacts will have a provenance associated with them to identify unauthorized modifications or injections into them. 

• Secure Storage: Artifact repositories will be secured against unauthorized access, tampering or leakage. 

• Release Gating: A valid security check must occur before code is moved to production to avoid risky deployments. 

4. Continuously Monitor for Emerging Threats 

The threat landscape continuously evolves. New vulnerabilities, supply chain compromises, and attack techniques are emerging that make continuous monitoring essential. 

This includes:  

• Integrating threat intelligence into security platforms using real-time threat data to anticipate and defend against emerging attacks. 

• Tracking dependency health by assessing the security status of all components & dependencies used across projects on a regular basis. 

• Behavioral analysis to detect unusual activity in code, CI/CD pipelines, and deployed applications that could indicate compromise. 
• Continuous reassessments, by periodic reviewing the organization’s security posture and updating policies, tools, and practices to address newly identified risks. 

5. Align Security and Engineering Teams 

Aligning security and engineering teams is key to successful supply chain security because it reduces the likelihood of missing vulnerabilities in applications or components, shortens the time to remediate identified vulnerabilities, and reduces friction in the development process.  

Alignment strategies include:  

• Use the same measures to determine how well your organization is performing from both security and operational perspectives. 

• Shared ownership because both security and engineering teams should be responsible for identifying and mitigating risk. 

• Establish formal processes for security and engineering teams to escalate critical issues, ensuring timely responses. 

• Build communication channels between these teams to share insights, lessons learned, and updates on emerging threats. 

When you create an environment where all parties work together, share responsibility, and eliminate friction in the development process, you will develop a culture in which supply chain security is operationalized at scale. 

Looking for more tips like this? Check out our resource library for interviews, original research, and more.

Start Securing the Software Supply Chain with Cycode 

Cycode provides an integrated, end-to-end way to protect the software supply chain so enterprises can reduce risk while maintaining development velocity.

Key capabilities include:

• Complete, end-to-end software supply chain visibility: Take an accurate, complete inventory of repositories, pipelines, dependencies, and artifacts—while continuously mapping how they are connected across the SDLC.
• Context-driven prioritization across code, pipelines, and dependencies:Focus remediation efforts using relationship and exposure context—so teams can cut through noise, understand how risk propagates across the software supply chain, and fix what truly matters most.
• Governance and policy automation:Automate the enforcement of security and development policies across projects and environments to support consistent controls and reduce human error—including governance for modern, AI-assisted development workflows.
• AI-powered detection, prioritization, and remediation: Use AI to augment security teams with automated analysis, contextual prioritization, and actionable remediation guidance. This helps teams identify issues in both human-written and AI-generated code and accelerate time to fix.

With Cycode, enterprises can secure their software supply chain end-to-end, mitigate risk, and maintain velocity, all from a single, unified platform. Book a demo today and see how Cycode can help your enterprise secure its software supply chain.