DevSecOps: How to Seamlessly Integrate
Security Into DevOps
Published: 30 September 2016

ID: G00315283

Analyst(s): Neil MacDonald, Ian HeadInformation security architects must integrate security at multiple points into
DevOps workflows in a collaborative way that is largely transparent todevelopers, and preserves the teamwork, agility and speed of DevOps andagile development environments, delivering "DevSecOps."

Key Challenges■

DevOps compliance is a top concern of IT leaders, but information security is seen as an
inhibitor to DevOps agility.

■

Security infrastructure has lagged in its ability to become "software defined" andprogrammable, making it difficult to integrate security controls into DevOps-style workflows in
an automated, transparent way.

■

Modern applications are largely "assembled," not developed, and developers often download
and use known vulnerable open-source components and frameworks.

Recommendations
Information security architects should:■

Start with secure development and training, but don't make developers become security
experts or switch tools.

■

Embrace the concept of people-centric security and empower developers to take personal
responsibility for security compensated for with monitoring. Embrace a "trust and verify"
mindset.

■Require all information security platforms to expose full functionality via APIs for automatability.

■

Use proven version control practices and tools for all application software and, equally as
important, for all scripts, templates and blueprints used in DevOps environments.

■

Adopt an immutable infrastructure mindset where production systems are locked down andchanged via development.

Table of Contents
Strategic Planning Assumptions............................................................................................................. 2
Introduction............................................................................................................................................ 3
Analysis.................................................................................................................................................. 4
Security Controls Must Be Programmable and Automated Wherever Possible..................................4
Use IAM and Role-Based Access Control to Provide Separation of Duties........................................6
Implement a Simple Risk and Threat Model for All Applications........................................................ 6
Scan Custom Code, Applications and APIs...................................................................................... 7
Scan for OSS Issues in Development............................................................................................... 8
Scan for Vulnerabilities and Correct Configuration in Development....................................................8
Treat Scripts/Recipes/Templates/Layers as Sensitive Code.............................................................. 9
Measure System Integrity and Ensure Correct Configuration at Load................................................ 9
Use Whitelisting on Production Systems, Including Container-Based Implementations................... 10
Assume Compromise; Monitor Everything; Architect for Rapid Detection and Response................ 10
Lock Down Production Infrastructure and Services.........................................................................11
If Containers Are Used, Acknowledge and Address the Security Limitations................................... 12
Bottom Line....................................................................................................................................12
Gartner Recommended Reading.......................................................................................................... 12

List of Figures
Figure 1. Information Security Professionals: Do You Believe Your Information Security Policies/Teams
Are Slowing IT Down?............................................................................................................................ 3
Figure 2. IT Operations Professionals: Do You Believe Your Information Security Policies/Teams Are
Slowing IT Down?.................................................................................................................................. 4
Figure 3. DevSecOps............................................................................................................................. 5

Strategic Planning Assumptions
By 2019, more than 70% of enterprise DevOps initiatives will have incorporated automated security
vulnerability and configuration scanning for open source components and commercial packages, up
from less than 10% in 2016.
By 2019, more than 50% of enterprise DevOps initiatives will have incorporated application security
testing for custom code, up from less than 10% in 2016.

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By 2019, more than 60% of DevOps initiatives will have adopted version control and tight
management of infrastructure automation tools, up from less than 5% in 2016.

Introduction
In 2012, Gartner introduced the concept of DevSecOps (originally "DevOpsSec"; see Note 1) to themarket in "DevOpsSec: Creating the Agile Triangle." In this research note, we identified the need for
information security professionals to become actively involved in DevOps initiatives and to remaintrue to the spirit of DevOps, embracing its philosophy of teamwork, coordination, agility and shared
responsibility.
Based on hundreds of discussions with clients, we estimate that fewer than 20% of enterprisesecurity architects have engaged with their DevOps initiatives to actively and systematicallyincorporate information security into their DevOps initiatives; and fewer still have achieved the highdegrees of security automation required to qualify as DevSecOps. Using the best practices outlinedin this research, we believe security architects can optimize and improve their overall security
posture by designing a set of integrated controls to deliver DevSecOps without undermining theagility and collaborative underpinnings of the DevOps philosophy.
However, surveys at Gartner's data center and information security summits in 2015 indicate that
information security is viewed as an inhibitor to the agility and speed required by digital businessand DevOps initiatives. Both information security professionals (Figure 1) and IT operations
professionals (Figure 2) were surveyed.
Figure 1. Information Security Professionals: Do You Believe Your Information Security Policies/Teams Are
Slowing IT Down?

n = 41
Source: Gartner (September 2016)

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Figure 2. IT Operations Professionals: Do You Believe Your Information Security Policies/Teams Are Slowing IT
Down?

n = 93
Source: Gartner (September 2016)

As shown in Figures 1 and 2, both information security and IT operations professionals, in nearly
identical ratios (approximately 4 to 1), believe information security is slowing down IT's ability torespond to the needs of the business.
At the time of the original DevOpsSec research in 2012, DevOps was relatively new. However,1

recent Gartner research indicates that 38% of enterprises are now using DevOps, and 50% will be
actively using it by the end of 2016. In the same survey, security and audit tools represented thesingle highest-rated category of tools in terms of importance to an effective and efficient DevOps
implementation, and 82% of respondents indicated that they had to deal with one or more
1

regulations in their DevOps initiatives. The good news is that DevOps teams understand that
security and compliance are necessary. Now is the time for security architects to engage theseteams and apply the best practices identified in this research.

Analysis
Security Controls Must Be Programmable and Automated Wherever Possible
DevSecOps can be depicted graphically as the rapid and agile iteration from development (the left
side of Figure 3) into operations (the right side of Figure 3), with continuous monitoring and analytics
at the core.

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Figure 3. DevSecOps

Source: Gartner (September 2016)

Our goal as information security architects must be to automatically incorporate security controls
without manual configuration throughout this cycle in a way that is as transparent as possible to
DevOps teams and doesn't impede DevOps agility, but fulfills our legal and regulatory compliancerequirements as well as manages risk. Security controls must be capable of automation within
DevOps toolchains in order to enable this objective. This is important for two reasons. First,
automation reduces the chance of misadministration and mistakes, which are leading causes ofoperations incidents, unexpected downtime and successful security attacks. Second, high levels of
automation eliminate the need for involvement from a security professional to manually configure asecurity setting using a security console (and thus impacting the agility of DevOps environments).
When security platform capabilities — such as identity and access management (IAM), firewalling,
vulnerability scanning, application security testing and so on — are exposed programmatically, theintegration and automation of these security controls are enabled throughout the DevOps life cyclein automated toolchains. Information security sets the policies, which can then be applied
programmatically based on the type of workload. However, many security vendors are behind intheir ability to be driven programmatically, and require a trained person to go to their console, oronly a portion of their security functionality is exposed via APIs.
Specific best practices:■

Require security and management vendors to:■

Fully API-enable their platform services and expose 100% of functionality via APIs■

Provide explicit support for common DevOps toolchain environments, such as Chef, Puppet
and similar automation tools■

Provide explicit support for containers and container orchestration and management
systems (which are not necessary for DevSecOps, but help streamline service delivery fromdevelopment into production).

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Use IAM and Role-Based Access Control to Provide Separation of Duties
As new and updated services cycle through the iterative DevSecOps process shown in Figure 3,
auditors and security architects will want to have clear separation of who can do what, as well as
where and when, in terms of service development and deployment. Even though a single team may
be responsible, different people in the team will assume different roles. The scope of theircapabilities can be managed by linking with existing IAM systems, and defining different roles fordevelopment versus preproduction versus production. The goal is not to tightly lock down what
individuals can do. Indeed, these identities and roles will be highly empowered within the phase of
DevSecOps for which they are responsible.
Specific best practices:■

Link to existing IAM systems for identities and permissions such as Active Directory orLightweight Directory Access Protocol (LDAP). Require tooling vendors to integrate with thesesystems for access control. Security policies are enforced in the tools, and all tooling accessand activities are monitored.

■

Define and assign different required roles for development versus production. Ideally, no person
directly touches the live environment, except via scripts and APIs.

■

Mandate that the product team is responsible and auditable for its product changes on a "trustand verify" basis. Verification can be achieved by use of audit logs and configuration
repositories, such as Git.

Implement a Simple Risk and Threat Model for All Applications
Basic risk-based threat modeling should be a standard best practice for DevSecOps. Start with asimple questionnaire for developers that can assess the risk of the service at a high level (see Note2). For example, is sensitive data being handled? What type of sensitive data? Are communications
being encrypted? Is data at rest being encrypted? Basic security best practices in coding should becommunicated and reinforced with developer training. Examples of best practices include
whitelisting and sanitization of all input from users and APIs to ensure correct syntax, encrypting all
network communications when communicating externally, and encrypting all data at rest if stored inpublic clouds.
Specific best practices:■

Train developers in secure coding best practices and how to write resilient code that sanitizes
input and blocks common attack patterns, such as buffer overflows, SQL injection and crosssite scripting.

■

Develop a simple threat-and-risk model assessment tool and implement it as a part of theplanning and design process. Base the level of threat modeling on the risk of the application.
Applications handling sensitive data or directly accessing the internet should require deeper
threat modeling and collaboratively involve information security.

■

Plan to mask, de-identify or synthesize data used in development for testing. Do not use
sensitive production data.

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Scan Custom Code, Applications and APIs
Custom code should be scanned for security vulnerabilities in development. However, traditional
static application security testing (SAST) and dynamic application security testing (DAST) are too
heavyweight, complex and need to be run by a security professional (see "Magic Quadrant for
Application Security Testing"). This approach won't work and won't scale for DevSecOps.
One best practice is to train developers to adopt a lightweight "spell checker" type scanning tool for
quick checks of security within the developer's integrated development environment (IDE) as they
develop code. Automated scanning and security test software should be part of the continuous
integration test toolchain. Use interactive application security testing (IAST; see "Critical Capabilities
for Application Security Testing") if the application development is being performed on a platformthat supports instrumentation such as Java, .NET and PHP. IAST is well-suited for the highly
automated testing needed for DevSecOps. If IAST isn't possible, use application security testing(AST) tools and services that can be fully automated without requiring a security professional to be
involved. For example, DAST tools can be driven automatically using Selenium scripts, or SAST
scans can be triggered automatically from scripting tools. AST-testing-as-a-service providers are apossibility, but only if the SLA of the AST services provider meets enterprise SLA requirements (forexample, a guaranteed 24-hour turnaround).
Specific best practices:■

Evaluate and adopt IAST for applications that support it, and favor solutions using self-inducers
for automated testing.

■Plan to fully automate any traditional static or dynamic tools or services that are used. For
example, DevOps toolchain scripting tools can invoke automated testing. Do not makedevelopers leave their native environment and toolchains.

■If SAST and DAST solutions are used, require vendors to support differential scans that test only
the modified code and downstream-impacted modules.

■

Acknowledge and accept that having zero vulnerabilities isn't possible. Reduce false positives(albeit with a risk of higher false negatives) and trim the output of AST tools and services tofocus developers first on the highest severity, highest confidence vulnerabilities. Favor AST
scanning tools and services that use machine learning and collective intelligence to trim results
to only the highest confidence results.

■

By policy, don't allow custom code with known critical vulnerabilities to enter production.
Accept that vulnerabilities that represent lower levels of risk may or may not be addressed infuture iterations. Approaches that identify and accept manageable risk are necessary.

■

Work with DevOps managers to measure and motivate development teams to produce codewith fewer vulnerabilities. Make security metrics a part of code quality metrics and holddevelopment teams accountable.

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Scan for OSS Issues in Development
Modern applications are more accurately described as "assembled" versus "developed fromscratch." Many developers download code from open-source software (OSS) repositories such as
Maven and GitHub. The issue is that often developers (knowingly or unknowingly) download known
vulnerable OSS components and frameworks for use in their applications. Sonatype estimates 6%of downloads from Maven are of known vulnerable components and, in an earlier study, found that
71% of production applications contained at least one OSS component with known security flaws
2classified as "severe" or "critical." Gartner refers to this category of source code scanning tools
and services as "software composition analysis" (SCA; see "Hype Cycle for Application Security,
2016" and Note 3).
Specific best practices:■

Prioritize OSS software module identification and vulnerability scanning in development in 20163

and 2017.
■

Scan all applications, system images, virtual machines and containers in development forunknown, embedded or vulnerable OSS components in the operating system, application
platform and in the application itself.

■

Implement an "OSS firewall" to proactively prevent developers from downloading known
vulnerable code from Maven, GitHub and other OSS code repositories by policy.

4

Scan for Vulnerabilities and Correct Configuration in Development
The need to scan for known vulnerabilities goes beyond custom code and OSS as discussed in theprevious sections. As packages are created and integrated, the entire content of all images (virtual
machines [VMs], Amazon Machine Images, containers and similar constructs) should be scanned indevelopment for vulnerabilities at the OS, application platform and commercial off-the-shelf
software layers. The scan should also include correct configuration of the settings of the OS andapplication platform according to industry standard best practices for secure configuration andhardening guidelines. Gartner estimates that through 2020, 99% of vulnerabilities exploited willcontinue to be ones known by security and IT professionals for at least one year (see "Predicts
2016: Threat and Vulnerability Management"). Most "advanced" attacks come from attacks on
known vulnerabilities. Preventing vulnerable systems from being released into production addresses
the issue at the source.
Specific best practices:■

Architect DevOps processes to automatically scan the contents of all system images, including
the base OS, application platform and all containers for known vulnerabilities and configuration
issues as part of the continuous integration process. By policy, don't allow systems to leave
development with known critical vulnerabilities.

■

Require developers to remove unnecessary modules and harden all systems to industry
standard best practices.

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■

Integrate with anti-malware scanners (such as VirusTotal), network sandboxing and algorithmic
malware detection (such as Cylance) to scan systems to ensure malicious code hasn't been
introduced to the image during the development process.

Treat Scripts/Recipes/Templates/Layers as Sensitive CodeIn highly agile, DevOps-style deployments and in software-defined data centers, "infrastructure iscode" — meaning, infrastructure is programmable and capable of being deployed and configured
using automation. Security infrastructure is also becoming programmable (see the very first bestpractice of this research note). If infrastructure is becoming code, then secure coding principles
must also apply to the templates, scripts, recipes and blueprints that drive the automaticconfiguration, and the repositories that hold the code that controls the infrastructure must be
secured. Earlier we discussed how high levels of automation can reduce the chance of a mistake.
However, a poorly written or mismanaged script can magnify a mistake if released into production.
Configuration files and scripts, like source code, should be scanned for mistakes, vulnerabilities andexcessive risk. Any item of infrastructure that is configurable using text files can potentially have its
configuration files centrally held in a repository such as Git. This then allows all changes to thoseconfigurations to be recorded, including what change was made, when and by whom. Eventually, all
the infrastructure configuration files may be treated like application source code, with full version
control and rollback, as well as full auditing, logging and alerting on their usage. It takes time to rollout such practices to encompass the entire infrastructure. However, when implemented, thispractice means that no changes to the infrastructure can be made that are not fully recorded andauditable. This is key to ensuring that internal and external auditors acquiesce in the expansion of
DevOps across the application and infrastructure estate.
Specific best practices:■

Ensure that DevOps teams have implemented good version control practices and tools tomaintain clear accountability and traceability for all the application software that is deployed
into the live environment.

■

Extend the scope of the version control and automated deployment tools to the configuration,
infrastructure setup and monitoring configuration.

■

Use automation scripts to deploy to the staging environment for final tests (may be an
automated test in advanced DevOps environments).

■

Scan scripts for errors and embedded risk, such as embedded credentials, encryption keys, API
keys and so on, that represent significant and avoidable risk.

Measure System Integrity and Ensure Correct Configuration at LoadAs we shift our discussion of DevSecOps best practices into production (the right side of Figure 3),
the first priority must be to ensure that the system and services we are loading and running areindeed what we expect them to be, and that they are configured at runtime correctly. A smart
attacker might attempt to tamper with images or layers in development. Anticipating this, set a goal
to measure all system elements possible, including the hardware and virtualization layer (on systems

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you own), VMs, OS images, and containers. This should include validation of container assembly
layers used in container management systems.
Specific best practices:■

Implement system integrity measurement on systems as they are booted, including hardwarebased root of trust measurements of the basic input/output system, bootloader, hypervisor andOS on systems you own.

■

Store VMs at rest encrypted and hashed, if VMs are used in the DevSecOps workflow. Verify
against tampering at boot.

■Use a container management system (if containers are used) that supports hashing or othertechniques to measure and verify system integrity when loaded.

Use Whitelisting on Production Systems, Including Container-Based
Implementations
To prevent breaches, one of the most powerful information security controls for a running workload
is whitelisting and enforcement of all of its system interactions (see "Market Guide for Cloud
Workload Protection Platforms"). The use of whitelisting to control what executables are run on aserver provides a powerful security protection strategy. All malware that manifests itself as a file to
be executed is blocked by default. However, whitelisting can extend well beyond just what
executables are allowed to launch on a system. Examples include whitelisting of network
connectivity, user access, administrative access, file system access, middleware/PaaS access, andprocesses. Historically, full whitelisting has been difficult to implement. However, the automatedruntime whitelisting of workloads and services is straightforward, due to the declarative nature of
DevOps templates, recipes, scripts and container manifests, and several vendors are taking
advantage of this to lock down DevSecOps workloads.
Specific best practices:■

Disable runtime-signature-based anti-malware scanning and implement a whitelisting model onserver workloads. Antivirus scanning provides little or no value on well-managed servers, and is
a waste of resources in a DevSecOps environment.

■

Automatically configure whitelists from the declarative sources of DevOps tool chains andcontainers.

■

Require vendors to support whitelisting approaches for containers, if containers are used.

5

Assume Compromise; Monitor Everything; Architect for Rapid Detection andResponse
In a world of advanced and targeted attacks, perfect prevention isn't possible (see "Prevention Is
Futile in 2020: Protect Information Via Pervasive Monitoring and Collective Intelligence"). Workloads
and services must be continuously monitored for indications of unusual behavior that would be

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indicative of an active breach. Increasingly, these approaches use advanced analytics and machinelearning to identify patterns of interest.
Specific best practices:■

Design for pervasive monitoring of critical applications — user logins/logouts, transactions,interactions, network activity and system activity.

■

Use the monitoring data to establish baselines of "normal" for the application in order to detect
meaningful deviations. Share monitoring data across DevOps or product teams, platform teams
and security operations center teams, as unusual activity may be caused by a hardware failure,
software failure, bug, insider threat or attack.

■

Deploy deception and decoy services automatically to more easily identify attackers as thesetechnologies mature over the next several years.

Lock Down Production Infrastructure and Services
Security architects should work with IT operations to lock down servers and infrastructure so that
automated tools are the only way to make changes to workloads in production, if and when a
response is needed. This should be your target standard mode of operations, as rapid iteration andaddressing vulnerabilities in development will improve your overall security posture (see "How to
Make Cloud IaaS Workloads More Secure Than Your Own Data Center"). While it will take time formost organizations to implement across the entire infrastructure, this approach offers a higher levelof protection of workloads in production than "separation of duties" alone (see Note 4). Where
DevSecOps practices are employed, the role of the change advisory board in product releases
evolves to that of a scheduling function, rather than a body that grants permission to deploy.
Specific best practices:■

Information security architects should collaborate with DevOps teams to:■

Restrict changes to only being made via automated tools and scripts. Disable remoteadministration via Secure Shell (SSH) and Remote Desktop Protocol (RDP) to force access
via APIs and scripts.

■

Adopt an immutable infrastructure mindset (where possible) and automate all changes tothe environment using DevSecOps-style workflows. Out-of-date workloads should simply
be replaced with newer images in an automated, systematic way (see "How to Make IaaS
Workloads More Secure Than Your Own Data Center").

■

Require privileged access management systems to manage credentialed access (see"Market Guide for Privileged Access Management") in the rare cases when direct
administrative access is needed.

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If Containers Are Used, Acknowledge and Address the Security Limitations
Containers are not required for DevOps, but they are extremely popular in DevOps environments
because of the consistency and streamlining they provide from development into production for thedeveloper. However, containers introduce several security issues that must at least be
acknowledged. Containers share a common OS, so it is the OS that is providing isolation, not thehypervisor. Without the use of additional tools, network traffic is visible to all hosted containers
sharing the same OS. A successful attack on the OS kernel layer exposes all containers. This is why
we recommend, as a best practice, using containers on only workloads of similar trust levels;
further, we recommend using hypervisors or physical separation when stronger isolation is needed.
A full discussion of container security is outside scope of this research, and is discussed in "Virtual
Machines and Containers Solve Different Problems" and "How to Secure Docker Containers in
Operation."

Bottom Line
DevSecOps is an objective where security checks and controls are applied automatically andtransparently throughout the development and delivery of IT-enabled services in rapid-development
DevOps environments. Simply layering on standard security tools and processes won't work.
Secure service delivery starts in development, and the most effective DevSecOps programs start at
the earliest points in the development process and follow the workload throughout its life cycle, as
shown in Figure 3. Even if you aren't actively using DevOps, the best practices identified in thisresearch note will apply to any security architect looking to accelerate the development and deliveryof IT-enabled services using agile development, test-driven development or other methodologies.
If you haven't already, get involved in DevOps initiatives and start pressuring all security vendors forfull programmability of their services for automatability. For 2016, begin the immediate scanning ofservices in development for vulnerabilities, and make OSS software module identification,
configuration and vulnerability scanning a priority in 2016. Make custom code scanning a priority in2017. Longer term, automate security controls wherever possible to reduce the chance for
misconfiguration, mistakes and mismanagement.
Above all, successful DevSecOps initiatives must remain true to the original DevOps philosophy:
teamwork and transparency, and continual improvement through continual learning.

Gartner Recommended Reading
Some documents may not be available as part of your current Gartner subscription.
"Embrace DevOps Product Teams to Turbocharge Your I&O Organization and Control Costs""Avoid Failure by Developing a Toolchain That Enables DevOps""Hype Cycle for Application Security, 2016""DevOpsSec: Creating the Agile Triangle"

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"Security in a DevOps World""Leveraging the DevOps Toolchain to Automate and Secure Virtualization, Private Cloud and Public
Cloud Environments"
Evidence
1 Gartner Enterprise DevOps Survey Study: This research was conducted via an online survey from9 May to 13 May 2016 among Gartner Research Circle Members — a Gartner-managed panel
composed of IT and business leaders.
Objectives: To learn how organizations are adopting DevOps as a means to accelerate enablement;
to go faster while improving quality; additionally, to inform on topics, including starting a DevOps
approach, pitfalls to avoid, scaling efforts, integrating information security, pursuing this in a
regulated environment and quantifying benefits.
In all, 252 IT and business leaders participated, with 95 members qualified by indicating they are
already using DevOps.
2 "2016 Report on the State of the Software Supply Chain," Sonatype; F. Rashid, "71 Percent ofApplications Use Components With Severe or Critical Security Flaws: Report," Security Week, 30
April 2013.
3 Vendors offering OSS scanning capabilities: Black Duck; HPE (partners with Sonatype); IBM(partners with Black Duck); OpenLogic; Palamida; Sonatype; Synopsys (acquired Protecode);
Veracode
4 Nexus Firewall: OSS firewall example from Sonatype
5 Whitelisting workloads in DevSecOps: Aqua Security; Apcera; Twistlock

Note 1 DevOpsSec Versus DevSecOps
When Gartner originally introduced the concept of "DevOpsSec" in 2012, it was quickly pointed out
by the security community that the acronym "DOS" was more commonly associated with "denial ofservice." The term was therefore adjusted to "DevSecOps" in subsequent research and Hype
Cycles. There are several terms used in the industry describing the need to integrated information
security into DevOps processes: see DevSecOps.org. and Rugged DevOps.
The practices described in this document are best evangelized across the product teams by having
a security community that encourages standards and common practices across all the DevOps
product teams. How this community aligns within the larger organization is described in "Embrace
DevOps Product Teams to Turbocharge Your I&O Organization and Control Costs."

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Note 2 Threat-Modeling Tools
One Gartner client developed their own simple "adaptive" risk assessment questionnaire in-house.
It was adaptive in the sense that if specific risky aspects of a service were identified, thequestionnaire would ask more detailed and specific questions (such as the how sensitive data wasbeing protected). With this assessment, in its simplest form for routine applications, the developer
would answer about 25 questions. In an extremely risky case, with an application handling sensitive
data and exposed to the public internet, there were nearly 200 questions.
The Open Web Application Security Project offers threat-risk-modeling guidance. In addition,
several third-party threat modeling tools are available. Vendors offering threat-modeling tools
include:■Microsoft: Threat Modeling Tool 2016■

Microsoft: interactive game■

Security Compass■

MyAppSecurity ThreatModeler

Note 3 Software Composition Analysis
Multiple vendors offer this capability, and some AST vendors are bundling this capability into theiroffering. There are additional benefits to using SCA. One is to understand if any of the OSS
components used fall under OSS licensing terms that are incompatible with the enterprise's legal
requirements. Another significant benefit is that when an OSS component is later discovered tohave a vulnerability, the enterprise security team can quickly identify which production applications
are affected and prioritize their remediation. This avoids chaotic scrambles to scan every system
when a critical vulnerability in a widely used component occurs (consider Heartbleed OpenSSL
vulnerability).
Note 4 Role of ITIL in DevSecOps
Traditional ITIL-inspired change control techniques are still applicable to the underlying
infrastructure and platform provided to the product team (for example, server hardware failure), andalso where changes may impact a wider audience of products and stakeholders.

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