Fri. Apr 19th, 2024

Content Assessment: Recommendations for Mitigating the Risk of Software Vulnerabilities: NIST Secure Software Development Framework

Information - 90%
Insight - 90%
Relevance - 90%
Objectivity - 85%
Authority - 95%

90%

Excellent

A short percentage-based assessment of the qualitative benefit of the newly published draft publication from NIST on mitigating the risk of software vulnerabilities.

Editor’s Note: The Information Technology Laboratory (ITL) at NIST promotes the U.S. economy and public welfare by providing technical leadership for the Nation’s measurement and standards infrastructure. ITL’s responsibilities include the development of management, administrative, technical, and physical standards and guidelines for the cost-effective security and privacy of other than national security-related information in federal information systems. ITL develops tests, test methods, reference data, proof of concept implementations, and technical analyses to advance the development and productive use of information technology. The Special Publication 800-series reports on ITL’s research, guidelines, and outreach efforts in information system security, and its collaborative activities with industry, government, and academic organizations.


Announcement and Draft Publication*

Secure Software Development Framework (SSDF) Version 1.1: Recommendations for Mitigating the Risk of Software Vulnerabilities

Background

This document will replace the NIST Cybersecurity White Paper released in April 2020 which defined the original Secure Software Development Framework (SSDF), and it includes a change log summarizing the major changes from the April 2020 version. NIST used inputs from the public and its June 2021 workshop to shape SSDF version 1.1 in support of NIST’s responsibilities under Executive Order (EO) 14028. The new SSDF draft also includes mappings from EO 14028 clauses to the SSDF practices and tasks that help address each clause.

Abstract

Few software development life cycle (SDLC) models explicitly address software security in detail, so secure software development practices usually need to be added to each SDLC model to ensure that the software being developed is well-secured. This document recommends the Secure Software Development Framework (SSDF) – a core set of high-level secure software development practices that can be integrated into each SDLC implementation. Following these practices should help software producers reduce the number of vulnerabilities in released software, mitigate the potential impact of the exploitation of undetected or unaddressed vulnerabilities, and address the root causes of vulnerabilities to prevent future recurrences. Because the framework provides a common vocabulary for secure software development, software purchasers and consumers can also use it to foster communications with suppliers in acquisition processes and other management activities.

Read the original announcement.


Complete Draft Publication: Secure Software Development Framework (SSDF) Version 1.1 (PDF) – Mouseover to Scroll

NIST.SP.800-218-draft

Read the original draft publication.

*Shared with permission.


Additional Reading

Source: ComplexDiscovery

 

Have a Request?

If you have information or offering requests that you would like to ask us about, please let us know, and we will make our response to you a priority.

ComplexDiscovery OÜ is a highly recognized digital publication focused on providing detailed insights into the fields of cybersecurity, information governance, and eDiscovery. Based in Estonia, a hub for digital innovation, ComplexDiscovery OÜ upholds rigorous standards in journalistic integrity, delivering nuanced analyses of global trends, technology advancements, and the eDiscovery sector. The publication expertly connects intricate legal technology issues with the broader narrative of international business and current events, offering its readership invaluable insights for informed decision-making.

For the latest in law, technology, and business, visit ComplexDiscovery.com.

 

Generative Artificial Intelligence and Large Language Model Use

ComplexDiscovery OÜ recognizes the value of GAI and LLM tools in streamlining content creation processes and enhancing the overall quality of its research, writing, and editing efforts. To this end, ComplexDiscovery OÜ regularly employs GAI tools, including ChatGPT, Claude, Midjourney, and DALL-E, to assist, augment, and accelerate the development and publication of both new and revised content in posts and pages published (initiated in late 2022).

ComplexDiscovery also provides a ChatGPT-powered AI article assistant for its users. This feature leverages LLM capabilities to generate relevant and valuable insights related to specific page and post content published on ComplexDiscovery.com. By offering this AI-driven service, ComplexDiscovery OÜ aims to create a more interactive and engaging experience for its users, while highlighting the importance of responsible and ethical use of GAI and LLM technologies.