Is AI-Generated Code Secure?
Key Findings from the 2026 GenAI Code Security Report
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Key Findings from the 2026 GenAI Code Security Report
PRIORITIZE, PROTECT, PROVE
Most security tools tell you what happened. Ent helps security teams understand why risky actions occur and intervene before they become incidents.
Understand intent, not just activity
The Pentagon’s GenAI.mil platform’s arsenal has gained OpenAI’s ChatGPT Mil and xAI’s Grok for Government, expanding personnel’s access to multiple AI models across the US Department of Defense.
The goal isn't simply to understand data governance as a set of policies and processes. It's to understand how those foundations need to evolve when data starts powering AI systems that can operate at unprecedented scale and speed.
From investment prioritisation to benefits realisation, explore the top value management platforms that help enterprises turn strategic investments into measurable business value.
In this article, we'll break down why most LLM projects actually fail, and what the successful 5% are doing differently.
China is rapidly scaling humanoid robotics, but impressive demonstrations don't necessarily translate into enterprise adoption.
Pricing the risk is its own problem. There's little historical claims data to work from, and AI developers themselves are still mapping out what their systems can actually do.
Automated RCA is moving closer to operational action. We look at what infrastructure teams need to see before they can trust its conclusions.
“A real-time layer of continuous authorisation which revalidates an agent's access as it acts and catches behaviour. When this drifts mid-session, the protect capability enforces policy based on the intent of the user or the intent of the agent at that moment.”
Explore why so many enterprise LLM rollouts turn into risk issues, the pillars a strategy needs, and a practical framework you can use to build one without slowing adoption.
AI is advancing faster than enterprise security controls can keep pace. Alan Hamilton of GAM Investments joins Trisha Pillay to explore AI risks, data exposure, phishing and autonomous systems.
We look at what happens when an enterprise can no longer trust the systems, identities, data and relationships its operations depend on.
We report on Nvidia’s proposed $12.9 billion Hugging Face acquisition and what’s known about the deal so far.
What happens when voice AI stops simply answering questions and starts getting things done? Pranay Jain of Enterprise Bot explains why the next generation of customer experience will depend on AI capable of understanding context.
We look at how organisations can build consistent security across cloud and on-premises environments without forcing them to work the same way.
They Didn’t Hack In. They Logged In.
INDUSTRY INSIGHTS REPORT
We look at how AI vulnerability discovery is changing security workloads, verification pressure and the way teams decide what deserves action.
"We can have incredibly sophisticated AI, but if the data underneath it isn’t Consistent, Organised, Accurate and Trustworthy, we’re building something very clever on very shaky foundations."
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