Help Net Security: Cybersecurity industry analysis: Another recurring vulnerability we must correct
There is no question that staying ahead of the trends in application security technology is beneficial and can even help prioritize upgrades or consolidations in a bloated tech stack. But to forgo targeting the root cause of vulnerable software – we mere humans – is going to keep us on the losing side of the cybersecurity battlefront. If we want to get serious about decreasing the number of code-level security vulnerabilities, then developers need to be given the foundations to succeed in sharing responsibility for security.
They need relevant, hands-on education and on-the-job upskilling, and functional tooling that doesn’t disrupt their workflow, or make security a chore to develop. Ideally, some tools would be developer-centric, built with their user experience front-of-mind...
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Forbes: A New Frontier: NSA Proposes “Security By Design” Considerations For AI Enablement
The cybersecurity industry, which has been advocating for “security by design” principles for more than a decade, stands in wide-eyed amazement at the risks posed by artificial intelligence (AI). As organizations rush to embrace AI enablement, a CISO’s most pressing priority is to avoid becoming a roadblock. However, without effective AI usage and governance, observability and traceability, organizations may be blindsided by their AI risk.
Techpartner.news: Secure Code Warrior introduces framework to govern AI use in software development
Secure Code Warrior has introduced the SCW AI Adoption Model, a framework designed to help organisations govern AI use in software development as the industry shifts from the traditional software development lifecycle (SDLC) toward what the company calls the Agentic Development Lifecycle (ADLC).
DevOps.com: Are LLMs Equally Good (or Bad) at Building Secure Software?
With many software engineering teams moving from AI coding assistants into full agentic AI code generation and increasing the amount of code they produce exponentially, ensuring the security of that code must be a top priority. The study produces practical guidance for organizations that are getting on board the AI-assisted or agentic code development train.
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