Lack of AI governance could force 40% of enterprises to roll back autonomous AI agents by 2027

Date:
Thu, 28 May 2026 17:00:00 +0000

Description:
Gartner warns enterprises may have to scale back agentic AI if they fail to get governance right from the get go.

FULL STORY ======================================================================Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Two in five companies could
have to scale back AI agents by 2027 Companies urged to reconsider basic governance policies Thorough, four-stage framework introduced Gartner has warned that as many as two in five enterprises will have to decommission
their AI agents by 2027 due to gaps in their governance frameworks that might only be discovered after incidents occur.

This is because organizations are either treating AI agents as completely locked down or fully trusted it's these uniform controls that could end up causing the biggest headaches for companies in the next few years. The report reveals that this could actually present two risks as well as the obvious miscalculated trust that affords agents access to systems they shouldn't have access to, overly strict policies could lead human workers to other, unapproved tools, adding to the potential data exposure risks. Latest Videos From You may like How enterprises can safely scale agentic AI Many firms are already having to roll back AI customer service tools AI agents can only be trusted as Junior Engineers Governance is a crucial consideration for agentic AI To move forward, Gartner is advising companies to adopt a four-stage framework for more granular access controls, starting with 'Level 1:
Observe'. This would grant AI agents read-only access to defined data
sources, with outputs only available to the requesting user.

'Level 2: Advise' would add to this by generating recommendations or proposed actions that must be reviewed manually by humans under this policy, agents would still have no write access to systems.

For full read-write access, 'Level 3: Act with Approval' would let agents carry out actions, write data and send communications, but only after
explicit human approval every single time.

The final policy, 'Stage 4: Act Autonomously', is where AI agents can truly come into their own by executing actions by themselves. Humans would still be involved at the exceptions, audit logs and aggregated outcome levels. Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed! Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting
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"Because accountability for outcomes remains with the organisation, this
level requires the most rigorous governance, including continuous monitoring, enforced guardrails, rapid rollback mechanisms, circuit breakers that halt agent operation on threshold violations and clear ownership for agent behaviour," Senior Director Analyst Shiva Varma explained.

Gartner's report essentially serves to remind enterprises that rushing into autonomy without careful consideration into what agents can read and write could harm security later on. With a calculated approach to governance, enterprises can avoid reactive rollbacks entirely. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.



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Link to news story: https://www.techradar.com/pro/lack-of-ai-governance-could-force-40-percent-of- enterprises-to-roll-back-autonomous-ai-agents-by-2027


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