Gartner warns of rising security risks as organisations move generative AI into daily operations

As organisations transition generative AI from pilot programs to everyday use, Gartner warns of mounting security hazards that threaten operational integrity and trust, highlighting the need for stronger governance and technical controls.

Organisations moving generative AI from pilot to everyday use are confronting a cluster of security hazards that, if left unchecked, could undermine both operations and trust, Gartner analysts warned this week. Dennis Xu, vice‑president and analyst at Gartner, told delegates at the Security and Risk Management Summit in Sydney that current large language models retain vast quantities of information while lacking judgement, likening them to a young child with exceptional recall but no sense of context. According to Gartner research, that mismatch between capability and comprehension helps explain why many GenAI initiatives falter when governance and technical controls lag adoption.

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Source: Noah Wire Services

Noah Fact Check Pro

The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.

Freshness check

Score:
7

Notes:
The article references Gartner’s Security and Risk Management Summit in Sydney, which took place on March 16–17, 2026. The content appears to be fresh, with no evidence of prior publication. However, the article’s URL suggests it was published on March 17, 2026, which is the same date as the summit’s conclusion, raising questions about the immediacy of reporting. Additionally, the article includes a source reference map, indicating it may be based on a press release. Press releases typically warrant a high freshness score, but the exact publication date of the press release is unclear. Without confirmation of the press release’s date, the freshness score is reduced. The article does not appear to be republished across low-quality sites or clickbait networks. No discrepancies in figures, dates, or quotes were identified. Overall, the content seems original and timely, but the exact publication date of the press release affects the freshness assessment.

Quotes check

Score:
6

Notes:
The article includes a direct quote from Dennis Xu, vice-president and analyst at Gartner, stating that current large language models retain vast quantities of information while lacking judgement, likening them to a young child with exceptional recall but no sense of context. A search for this quote reveals it was used in an article published on June 9, 2025, titled ‘LIVE from Gartner Security & Risk Summit: Why AI Security Demands Speed, Not Strategy.’ This suggests the quote may have been reused, raising concerns about originality. The wording of the quote matches exactly between sources, indicating no variations. No online matches were found for other quotes in the article, making independent verification challenging. Unverifiable quotes should not receive high scores, and the reuse of the Dennis Xu quote further diminishes the score.

Source reliability

Score:
5

Notes:
The article includes a source reference map, indicating it may be based on a press release. Press releases are typically considered reliable sources, but they can also be promotional and may lack independent verification. The exact publication date of the press release is unclear, affecting the assessment of freshness. The article does not originate from a major news organisation but appears to be summarising or aggregating content from Gartner’s official website. This raises concerns about the independence of the source. Without confirmation of the press release’s date and considering the potential lack of independent verification, the source reliability score is moderate.

Plausibility check

Score:
7

Notes:
The claims made in the article align with known discussions about the challenges of implementing generative AI, particularly regarding security risks and the need for governance and technical controls. The Dennis Xu quote about large language models lacking judgement is consistent with previous statements attributed to him. However, the reuse of the quote from June 2025 raises questions about the timeliness of the information. The article does not provide specific details about the Gartner research mentioned, such as publication date or methodology, which would help assess the credibility of the claims. The lack of supporting detail from other reputable outlets also diminishes the plausibility score.

Overall assessment

Verdict (FAIL, OPEN, PASS): FAIL

Confidence (LOW, MEDIUM, HIGH): MEDIUM

Summary:
The article presents information attributed to Dennis Xu at the Gartner Security & Risk Management Summit, but the reuse of a quote from June 2025 raises concerns about the timeliness and originality of the content. The exact publication date of the press release is unclear, affecting the freshness assessment. The source appears to be summarising or aggregating content from Gartner’s official website, which may lack independent verification. The lack of supporting detail from other reputable outlets further diminishes the credibility of the claims. Given these concerns, the overall assessment is a FAIL with MEDIUM confidence.