AI observability stories
Security teams gain visibility into blocked requests, token use and failures in AWS Bedrock deployments as AI oversight gaps widen.
Security teams can now feed AI agents internet-scale intelligence through a new protocol as Team Cymru opens access to Pure Signal customers.
Banks must move beyond isolated pilots if they want agentic AI to deliver enterprise-wide gains, Google Cloud says.
Businesses deploying autonomous AI can now cap runaway token spending in real time as Portal26 adds controls to throttle or stop agents.
The expanded tie-up aims to automate telecoms, retail and IT workflows while giving enterprises tighter oversight of AI agents across both platforms.
Businesses racing to scale AI could slash cloud bills after the tool exposed idle GPUs, bottlenecks and waste across workloads.
Users can now get help without leaving the app, as Amplitude's new assistant uses in-product data to guide and complete tasks.
Security teams gain deeper visibility into AI agent behaviour as Exabeam extends monitoring across Google Cloud tools and workflows.
Businesses are turning to observability software to govern AI traffic and secure hybrid systems, as IDC sees the market rising to USD $4.39 billion by 2029.
Businesses deploying multi-agent AI can now monitor costs, traffic and audit trails in one place as Kong broadens its governance tools.
Businesses can now let Gemini agents run for hours or days, while new controls aim to keep AI workflows traceable and secure.
The launch aims to let firms and software agents use Salesforce data and workflows inside coding tools and collaboration apps, cutting build times by up to 40%.
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.
