Insights from experts shaping secure development
Access expert content on secure coding, AI governance, and software risk management.
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Embracing agile learning for mean time to remediation (MTTR) improvement
Agile learning accelerates issue resolution and boost developer efficiency with continuous learning.
With the right support, developers can lead your organization to superior PCI DSS 4.0 compliance
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LLMs: An (im)perfectly human approach to secure coding?
While it is looking inevitable that LLM-style AI technology will change the way we approach many aspects of work - not just software development - we must take a step back and consider the risks beyond the headlines. And as a coding companion, its flaws are perhaps its most “human” attribute.
How Thales implemented developer-driven security
In this case study, learn how Thales has developed people, process, and technology approaches for an agile secure code learning program in order to engage developers to become active security champions.
How Envestnet adopted an agile secure code learning platform and tripled developer effectiveness in vulnerability reduction
Learn how Derek Fisher, Head of Product Security at Envestnet and the author of “The Application Security Handbook”, worked with Secure Code Warrior to develop a holistic approach to reduce vulnerabilities through agile secure code enablement for his developer teams.
How Colgate-Palmolive boosted developer security skills and created a secure coding culture
Discover how retail giant Colgate-Palmolive reshaped its application security during its digital transformation journey. Facing challenges in secure coding, they innovated their approach by integrating bite-sized, in-context learning into the developer workflow.
SD Times: AI-Assisted Development Multiplies Human Error: What’s Your AI Governance and Risk Management Strategy?
According to a recent report from Gartner, the rampant use of shadow AI and rogue automation is further fueling the proliferation of AI vulnerabilities. Gartner notes that 32% of IT workers using generative AI tools at work say they keep them hidden from cybersecurity teams. Combined with low-code/no-code platforms and vibe coding practices, the AI copilots are greatly expanding the enterprise attack surface.
Cybersecurity Tribe: What Separates Real AI Governance From Policy Theater
For this article, we asked a central question for security and risk leaders: "What differentiates a policy that genuinely mitigates enterprise risk from one that exists primarily to demonstrate that the organization has acknowledged AI risk?"
Trust Agent:AI - Secure and scale AI-Drive development
AI is writing code. Who’s governing it? With up to 50% of AI-generated code containing security weaknesses, managing AI risk is critical. Discover how SCW's Trust Agent: AI provides the real-time visibility, proactive governance, and targeted upskilling needed to scale AI-driven development securely.
The Power of OpenText Application Security + Secure Code Warrior
OpenText Application Security and Secure Code Warrior combine vulnerability detection with AI Software Governance and developer capability. Together, they help organizations reduce risk, strengthen secure coding practices, and confidently adopt AI-driven development.
Secure Code Warrior corporate overview
Secure Code Warrior is an AI Software Governance platform designed to enable organizations to safely adopt AI-driven development by bridging the gap between development velocity and enterprise security. The platform addresses the "Visibility Gap," where security teams often lack insights into shadow AI coding tools and the origins of production code.