Insights from experts shaping secure development

Post-quantum cryptography (PQC) is critical for protecting data from quantum computing threats. Learn how “harvest now, decrypt later” exposes risk and how developers can prepare for quantum-safe security.

Explore Enabler 2: Senior Leadership Sponsorship. Learn why active buy-in from the CIO, CTO, and CISO is vital to drive developer adoption and program credibility.

While development teams look to make the most of GenAI’s undeniable benefits, we’d like to propose a four-point foundational framework that will allow security leaders to deploy AI coding tools and agents with a higher, more relevant standard of security best practices. It details exactly what enterprises can do to ensure safe, secure code development right now, and as agentic AI becomes an even bigger factor in the future.

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.

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.

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.

Enterprises need to assert AI governance and ensure that developers are equipped to maintain oversight, with the security skills to safely prompt and review AI-assisted code and commits.

While change can be challenging to navigate, the current security climate feels like the perfect time to embrace measures that will improve software quality and reduce risk for years to come.

A recent finding by InvariantLabs uncovered a critical vulnerability in the Model Context Protocol (MCP), an API-like framework allowing powerful AI tools to autonomously interact with other software and databases, that allows for what has been dubbed "Tool Poisoning Attacks," a new vulnerability category that could prove especially damaging in the enterprise.

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.

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 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.