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Large language models deliver irresistible advantages in speed and productivity, but they also introduce undeniable risks to the enterprise. Traditional security guardrails aren’t enough to control the deluge. Developers require precise, verified security skills to identify and prevent security flaws at the outset of the software development lifecycle.

Get developer teams excited about secure code upskilling.
‍Security training might feel like just another hurdle in a developer's workflow, but this one pager highlights what's in it for them.

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Quests is a learning platform that helps developers mitigate software security risks by enhancing their secure coding skills. With curated learning paths, hands-on challenges, and interactive activities, it empowers developers to identify and prevent vulnerabilities.

Artificial intelligence engines are starting to populate everywhere, with each new model and version seemingly bringing forth more powerful and impressive capabilities that can be applied in a variety of fields. One area that has been suggested as a good possible use case for AI is writing code, and some models have already proven their abilities using a multitude of programming languages.

However, the premise that AI could take over the jobs of human software engineers is overstated. All of the top AI models operating today have demonstrated critical limitations when it comes to their advanced programming prowess, not the least of which is their tendency to introduce errors and vulnerabilities into the code they compile at cracking speed. 

While it’s true that the use of AI can help save some time for overworked programmers, the future will likely be one where humans and AI work together, with talented personnel entirely in charge of applying critical thinking and precision skills that ensure all code is as secure as possible. As such, the ability to write secure code, spot vulnerabilities, and establish that applications are as protected as possible long before they ever enter a production environment is vital.

In this new white paper from Secure Code Warrior, you will learn:

• The pitfalls of blind trust in LLM code output.
• Why security-skilled developers are key to safely “pair programming” with AI coding tools.
• The best strategies to upskill the development cohort in the age of AI-assisted programming.
• An interactive challenge to showcase AI limitations (and how you can navigate them).

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An industry first benchmark that quantifies the impact of your secure coding program

Software teams across enterprises are under more pressure to deliver quality, secure code faster and without fail before production. This has given rise to the concept of developer-driven security, a powerful movement that results in faster developer productivity, expedited movement throughout the software development cycle, and increased innovation, which ultimately leads to business growth. In the world of secure learning programs, despite undergoing identical secure code programs, teams often yield a spectrum of expertise, encompassing top performers, average achievers, and those who need additional support. But how can you tell what good looks like - and relative to what? Organizations are in need of a benchmark that defines the bell curve of their developers' security standing. A score that can be used as a baseline measurement of the current state of their security learning program, assess its effectiveness, and enable teams to optimize performance.

Value and benefits

• Simple, effective, meaningful data
• Measure security program success
• Increased software quality
• Improved team relationships
• Insight to secure coding skills
• Engaged users & developer retention

Benchmark the current state of your security program

Benchmark your security program against industry peers to establish a standard that aligns with your business goals. Utilizing benchmarks provides a baseline for performance comparison, enabling data-driven decision-making and continuous improvement opportunities to optimize your security posture.

Measured in the context of peers, competition, and global organizations

SCW Trust Score measures your security program's effectiveness by aggregating individual learner skill levels, to calculate your organizational trust score. With benchmarks tailored to Banking & Financial Services, Technology, and Global industries, the report provides insights into your company trust score, industry benchmark distribution, and learner skill level distribution, with customizable drill-down and filter options.

Have confidence in the most comprehensive security skill benchmark in the industry

SCW Trust Score is an industry-first solution that leverages a dynamic algorithm, harnessing insights from over 20 million learning data points collected from 600+ companies and 250,000 learners. It considers an array of learning activities completed within our platform, such as the depth of knowledge acquired about the OWASP Top 10. These unmatched insights help organizations measure their performance against others with confidence.

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