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.

Kamer van Koophandel shares how it embedded secure coding into everyday development through role-based certifications, Trust Score benchmarking, and a culture of shared security ownership.

See how Paysafe's partnership with Secure Code Warrior led to a 45% boost in developer productivity and a major reduction in code vulnerabilities.

DigitalOcean's use of Secure Code Warrior training has significantly reduced security debt, allowing teams to focus more on innovation and productivity. The improved security has strengthened their product quality and competitive edge. Looking ahead, the SCW Trust Score will help them further enhance security practices and continue driving innovation.

The concern is straightforward: development teams may place undue confidence in AI tools that are not equipped to interpret the nuanced context in which many security vulnerabilities arise. Large language models, for instance, can struggle to understand an application’s authentication or authorisation architecture, increasing the likelihood of missing critical safeguards.

Industry guidance on managing the risks of AI-generated code increasingly points to the same conclusion: effective safeguards rely on close collaboration between humans and machines, with developers remaining firmly in the loop.

Agentic artificial intelligence (AI) is set to reshape the enterprise landscape in the Asia-Pacific and Japan (APJ) region in 2026, according to industry executives. Organisations are expected to embrace increasingly autonomous software agents, raising both productivity and new categories of risk across business domains.

This one-pager introduces SCW Trust Agent: AI, a new set of capabilities that provide deep observability and governance over AI coding tools. Learn how our solution uniquely correlates AI tool usage with developer skills to help you manage risk, optimize your SDLC, and ensure every line of AI-generated code is secure.

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.

Security training might feel like just another hurdle in a developer's workflow, but this one pager highlights what's in it for them.