AI Safety stories
Enterprises could see faster, more accountable software delivery as human oversight stays in place for AI agents handling coding and support.
Only 1% of leaders think their AI governance is mature, as businesses rush to deploy systems without enough controls in place.
The platform aims to help AI developers move beyond benchmark tests, as models struggle to tackle real-world vulnerabilities safely and reliably.
Security teams can now track Claude use alongside other enterprise logs, helping firms meet compliance rules and investigate activity more easily.
It lets customers apply existing data loss and governance policies to AI-assisted work in Claude, after suspicious AI incidents hit 42% of firms.
Enterprises under pressure to prove AI returns may gain tighter controls as Kore.ai's Artemis moves from pilots to production on Microsoft Azure.
AI attacks are pushing firms to prioritise cyber resiliency, as Everpure warns downtime can exceed ransom demands by up to 75 times.
Threats from AI skills are escalating as the cybersecurity group expands research to counter a fast-growing software supply chain and attack surface.
Enterprise teams can now monitor chats, files and project logs in Claude, closing a security gap as AI tools take on more workplace tasks.
Broader Claude access should help MIND sharpen data discovery and loss prevention for customers, after it joined Anthropic's cyber scheme.
The update gives law and finance firms tighter AI controls over sensitive records as they seek to deploy tools without breaching confidentiality.
The new integration keeps passwords out of prompts and repos, reducing the risk of leaks as AI coding agents move into production workflows.
The trial could make everyday banking decisions clearer for millions of app users, while keeping human oversight and fraud controls in place.
The ranking highlights surging demand for AI-governance software, with the Dallas firm ahead of two Austin rivals on CNBC's list.
Confidence is lagging behind AI use in New Zealand, with most users still wary and many saying they would walk away over misuse.
New shared memory and multiplayer tools aim to cut context loss and make enterprise AI safer to use across teams and systems.
Enterprise users are being given a way to reuse context across sessions, as DevRev says its update aims to cut AI rework and burnout.
Poor AI oversight can magnify workflow errors, expose firms to regulation and erode trust if CIOs do not redesign controls and roles.
Refund teams face a growing fraud risk as AI-made receipts become harder to spot and more widely used in disputes.
It aims to curb losses from rogue bots by isolating automated trades from users' main crypto balances and limiting withdrawals.
