The update aims to cut review bottlenecks by auto-fixing vulnerable dependencies and surfacing code flaws scanners often miss.
Enterprise AI projects are stalling because legacy networks and siloed data cannot support the scale, speed and security modern workloads demand.
Governance gaps are emerging as hospitals, contact centres and enterprises push AI into frontline operations, raising risk and accountability concerns.
Most government and education IT leaders say unvetted AI is a security risk, as 73% of public sector infrastructure cannot run complex workloads.
Online shoppers in New Zealand face a sharper risk of fraud as fake stores and remote access attacks exploit trusted digital services.
With NZD $13 billion set to be spent on public technology, the firm says procurement reform could keep more taxpayer money and control at home.
Most IT and security teams cannot track AI use across their businesses, and Drata says the blind spot is already fuelling audit failures.
Security teams can now trace how one SAP flaw could spread across finance, payroll and supply chains, with access tightly restricted.
Developers face earlier checks on risky open-source dependencies as AI coding tools speed up software assembly and raise supply chain concerns.
AI is speeding up attacks as well as defence, with high-risk prompts and unsupervised agents exposing firms to new security gaps.
Adoption is stalling where firms lack clean data, strong workflows and guardrails, raising risks in retail, healthcare and IT.
Boards face rising pressure to control shadow AI as attackers automate faster and security teams shift to continuous verification.
Security checks will now cover more Arm processors, as the chip designer broadens use of Arteris' Radix tool to spot flaws earlier.
The new safety model slashes prompt-injection risks in GPT-5.6, as OpenAI says it found flaws faster than human testers and then fed fixes back into production.
Businesses are being warned that rushed AI rollouts can waste spend and add risk unless teams define clear goals and checks first.
Pressure is mounting on companies to prove AI is governed in real time, as agentic systems take decisions and access sensitive data.
Governance concerns are rising as companies embed AI deeper into critical workflows, from factory floors to defence operations and customer service.
Businesses face mounting pressure to curb unsafe AI rollouts as executives warn that general-purpose tools are outpacing governance and controls.
The shift has helped the network operator block massive attacks in seconds while reducing reliance on custom kernel patches and specialist hardware.
Businesses are weighing AI's impact on staffing, governance and cyber risk as leaders push beyond pilot projects and into production systems.
