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.

Security as culture: How Blue Prism cultivates world-class secure developers
Learn how Blue Prism, the global leader in intelligent automation for the enterprise, used Secure Code Warrior's agile learning platform to create a security-first culture with their developers, achieve their business goals, and ship secure code at speed
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Supercharged Security Awareness: How Tournaments are Inspiring Developers at Erste Group
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How a ‘Game of Codes’ is leading IAG Group to a more secure coding future
IAG Group is the name behind many of the leading insurancecompanies in the Asia-Pacific region, underwriting policies formillions of customers to the tune of approximately AUD $11.4 Billionin premiums per annum.

Security Week: How Software Development Teams Can Securely and Ethically Deploy AI Tools
To deploy AI tools securely and ethically, teams must balance innovation with accountability—establishing strong governance, upskilling developers, and enforcing rigorous code reviews.

Dark Reading: AI Developed Code: 5 Critical Security Checkpoints for Human Oversight
To write secure code with LLMs developers must have the skills to use AI as a collaborative assistant rather than an autonomous tool, Madou argues.

Techstrong.tv: Secure Code Warrior in the Age of AI with Pieter Danhieux
Secure Code Warrior’s Chief Executive Officer, Chairman, and Co-Founder Pieter Danhieux explains his transition from offensive cybersecurity to promoting secure software development. Founded in 2015, Secure Code Warrior aims to help developers build secure code from the start, a practice Danhieux and host Alan Shimel agree is more effective than fixing vulnerabilities later. The two also discuss the impact of AI on software development, noting that while AI increases coding speed and accessibility for more people, the security of AI-generated code still lags. They emphasize the growing need for developers to master secure coding practices amidst these technological advancements.
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.








