Insights from experts shaping secure development
Access expert content on secure coding, AI governance, and software risk management.

Post-Quantum Cryptography: Quantum Computers Will Break Today’s Encryption – Are You Ready?
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.
Enabler 2: Senior Leadership Sponsorship
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.

Observe and Secure the ADLC: A Four-Point Framework for CISOs and Development Teams Using AI
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.

Devlympics 2023: In Review
Explore the Devlympics 2023 results in this report. Dive into developer engagement, tech stack and languages trends in each industry that participated, and key vulnerabilities and CWEs covered in the annual global event hosted by Secure Code Warrior.

One Culture of Security: How Sage built their security champions program with agile secure code learning
Discover how Sage enhanced security with a flexible, relationship-focused approach, creating 200+ security champions and achieving measurable risk reduction.

The path to security champions: How Workday utilized agile learning to upskill developers
Discover how Workday transformed developer training with agile learning through Secure Code Warrior. By empowering developer with hands-on, language-specific education, Workday reduced vulnerabilities early in the SDLC. See their impressive results and key takeaways to build a secure code culture.

Tanium: Vibe coding may be unstoppable—but here’s how to rein in the risks
Like the meteoric rise of ChatGPT, vibe coding is all anybody can talk about this year. In fact, it just became a word in the dictionary. But beware the boom: These new AI coding tools offer speed, savings—and astounding vulnerabilities.

[PODCAST] Stack Overflow: AI code means more critical thinking, not less
Ryan is joined by Secure Code Warrior’s co-founder and CTO Matias Madou to discuss the implications of LLMs’ variability on code security, the future of developer training as AI coding assistants become more popular, and the importance of critical thinking—especially for junior developers—in the age of AI.

Cybersecurity Insiders: Use It or Lose It: Overreliance on AI Diminishes Critical Cybersecurity Thinking Skills
Software developers reap a host of benefits from making use of artificial intelligence assistants, whether in the form of Large Language Model (LLM) code creators or agentic AI agents. But recent reports, highlighted by a new study at MIT, warn that heavy use of AI can result in a loss of critical thinking skills among users.
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.








