AI Monitoring (AIM) stories
Most firms are now running AI in production, with hybrid clouds and security controls becoming crucial as inference overtakes training.
Security teams gain visibility into blocked requests, token use and failures in AWS Bedrock deployments as AI oversight gaps widen.
Businesses face rising compliance and security risks as SAS adds a single governance layer for AI models and agents across their life cycle.
The expanded tie-up aims to automate telecoms, retail and IT workflows while giving enterprises tighter oversight of AI agents across both platforms.
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.
Shadow AI is prompting new controls for smaller businesses, as Acronis’s tool lets MSPs monitor unsanctioned AI use and block data leaks.
Production AI is straining as 5% of model requests fail and almost 60% of those errors stem from capacity limits.
The new tools aim to help firms spot faulty AI outputs and data risks sooner as production deployments outpace monitoring methods.
Most IT staff say AI is adding scrutiny, trust checks and governance duties, offsetting time saved by automating routine work.
Businesses must now manage how AI systems interpret their brands, as Adobe sees discovery traffic from chat tools and browsers rising fast.
Many firms are failing to turn AI trials into production systems, with poor controls and weak data forcing almost half of projects to stall.
Funding will help Lua expand its developer community and partner network as demand for its AI agent software rises sharply.
Users can now monitor microservices and AI agents in a preconfigured stack, as OpenSearch 3.6 adds APM and tracing tools.
More than half of organisations have shipped AI tools, but quality problems and weak testing are leaving many projects stranded before production.
It aims to curb staff data leaks into public AI tools by giving Australian employers visibility and controls over what workers share.
AI tools now favour recent, credible coverage over paid media, leaving B2B tech firms with a growing visibility gap in search results.
The bank is formalising its AI push with specialist in-house skills to build and test systems safely for customer use.