Two Key Ways Development Teams Can Increase Their Security Maturity
Now more than ever, organizations need to enable their development teams to build and grow their security skills. Today organizations face a threat landscape where individuals, well-financed syndicates, and state actors are actively trying to exploit errors in software. Yet, according to recent global research, 67% of developers that were interviewed said they were still shipping code they knew contained vulnerabilities.
Govern AI-driven development before it ships
Measure AI-assisted risk, enforce secure coding policy at commit, and accelerate secure delivery across your SDLC.
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ITWire: Agentic AI Era Demands Overhaul of Governance Frameworks
The emergence of agentic AI marks a structural shift in software development, introducing systems that not only accelerate production cycles but also perform autonomous reasoning and action beyond direct human control.
SD Times: Platform Engineering & Developer Experience: Making Engineers Faster Without Making Them Reckless: SD Times 100
This category has taken on new urgency in 2026 for a reason that’s specific to this moment: AI coding tools and agents are dramatically increasing how much code gets written and how often it needs to be deployed, tested, and provisioned for. Platform engineering is the layer that determines whether that increased velocity translates into shipped value or into chaos.
SecurityWeek: How to Conduct a Successful Audit of AI-Driven Software Development
As AI-generated code becomes commonplace, CISOs need new audit strategies to measure developer practices, govern AI tool usage, and identify software risks before they reach production.
Secure AI-driven development before it ships
See developer risk, enforce policy, and prevent vulnerabilities across your software development lifecycle.
