Chief Information Officer (CIO) stories
Weaker oversight could turn AI-generated code into a costly drag, with security flaws and technical debt rising in enterprise projects.
Enterprise teams using AI coding tools may face higher technical debt, security gaps and costs, according to new SIG research.
Enterprise teams are getting a single control plane to track agent sprawl, tighten permissions and curb AI spending as autonomous systems spread.
Most firms still leave broad internal paths open, letting a single breach spread across servers and disrupt operations, a report says.
Growing AI use is making bills harder to predict, pushing firms to track costs across models, agents, data and compute.
Many firms are adopting AI quickly, but weak data architecture is leaving them unable to measure returns or manage governance risks.
The recognition strengthens Tanium's pitch to enterprises seeking faster patching and broader visibility across complex endpoint estates as cyber risks rise.
Most firms still judge tech buys on upfront price, even as security, efficiency and long-term value increasingly drive business risk.
The update aims to simplify security operations as enterprises grapple with unmanaged devices, partners and multi-cloud workloads across AI projects.
Yet live deployments are causing headaches for engineering teams, with most respondents reporting more incidents and heavier rework after AI code goes live.
Most financial institutions now see unsanctioned AI use as a business risk, with 86% of IT executives warning of weak oversight.
Most enterprises are still failing to turn agentic AI trials into usable gains, as weak governance and orchestration keep deployments in pilot mode.
Large enterprises under pressure to speed up patching and visibility now have a stronger shortlist option after Forrester ranked Tanium a leader.
Firms racing to deploy generative AI are exposing themselves to data incidents and compliance gaps, Wallarm says, as oversight lags.
The listing signals Newgen's push into governed AI development tools as buyers increasingly judge low-code platforms on orchestration, not speed alone.
More than half of UK technology leaders now rank cyber risk as their top concern, even as hiring shortages threaten security plans.
Many large UK firms are still struggling to embed AI into daily operations, despite strong demand and rising governance spend.
Fragmented data is slowing finance decisions and limiting the value of AI, as Australian CFOs push to make GRC the office's connective layer.
Enterprises could cut IT support costs by up to 45% as the platform spots and fixes faults before they disrupt operations.
Skills shortages are now holding back Ireland's tech chiefs as AI investment jumps, with most firms still unable to deploy it at speed.