AI observability stories
Production AI is straining as 5% of model requests fail and almost 60% of those errors stem from capacity limits.
Capacity limits are now behind nearly 60 per cent of AI production failures, risking outages and higher costs as usage scales.
Financial regulators are alarmed after Anthropic said Claude Mythos can uncover software flaws at machine speed, raising bank security risks.
The new tools aim to help firms spot faulty AI outputs and data risks sooner as production deployments outpace monitoring methods.
Many firms are failing to turn AI trials into production systems, with poor controls and weak data forcing almost half of projects to stall.
AI assistants can now query live workflow status and diagnostics, reducing reliance on dashboards for regulated firms using Adeptia's software.
The software aims to curb AI job failures and GPU waste as enterprises push agentic workloads into production on Nutanix systems.
The rollout pushes Oracle deeper into AI-driven automation, as the new tools aim to cut manual hand-offs across finance, HR, supply chain and CX.
Customers will no longer need separate AI purchases as every ServiceNow product now bundles automation, governance and data tools by default.
The funding backs a push into AI data centres, where better network control could lift model utilisation and cut token costs.
Enterprises scaling AI are finding that reliable, real-time data pipelines and governance now matter more than model choice for ROI and control.
Rising automation and data growth are exposing cloud users to identity drift, hidden telemetry gaps and fragmented defences.
Security teams face a wider gap as enterprise AI moves into production, with data governance and runtime controls often managed separately.
Customers can now get tailored content and AI search in Sitefinity, as Progress adds governed personalisation and conversational tools.
Rising AI and hybrid cloud traffic is fuelling demand for tools that spot security blind spots, with the market growing 18 per cent in 2025.
Enterprises deploying agentic AI are getting a new tool to spot data leaks, policy breaches and runaway costs before they spread.
Greater scrutiny of generative AI is set to push observability spending up as companies seek to prove outputs are accurate and traceable.
Outages and opaque AI decisions are pushing APAC firms to use observability to keep automated systems reliable, accountable and compliant.
European mid-sized firms face tighter AI compliance demands as the EU AI Act pushes buyers towards auditable systems in sovereign infrastructure environments.
The funding will help Qodo expand globally as enterprises look for ways to verify AI-written code before it reaches production systems.