{"id":79463,"date":"2026-05-28T18:10:57","date_gmt":"2026-05-28T15:10:57","guid":{"rendered":"https:\/\/saudishopper.com.sa\/en\/telus-digital-report-ai-safety-gaps\/"},"modified":"2026-05-28T18:11:16","modified_gmt":"2026-05-28T15:11:16","slug":"telus-digital-report-ai-safety-gaps","status":"publish","type":"post","link":"https:\/\/saudishopper.com.sa\/en\/telus-digital-report-ai-safety-gaps\/","title":{"rendered":"Telus Digital Report Exposes Significant Security Vulnerabilities Across Generative AI Models"},"content":{"rendered":"<p class=\"wp-block-paragraph\">A new report by Telus Digital has exposed significant <strong>AI safety gaps<\/strong> across major generative artificial intelligence models. The findings reveal that every tested model can be manipulated into unsafe behavior under specific conditions.<\/p><p class=\"wp-block-paragraph\">The company&#8217;s second GenAI Safety Model Benchmark conducted over 620,000 adversarial tests across 34 models from 10 global providers. These providers included Anthropic, OpenAI, Google, Meta, Alibaba, Baidu, ByteDance, Zhipu AI, 01.AI, and Mistral.<\/p><h2 class=\"wp-block-heading\">Analyzing the AI Safety Gaps in Modern Models<\/h2><p class=\"wp-block-paragraph\">The testing revealed that vulnerability rates ranged from 1.3% to 93%, with lower percentages indicating safer models. Notably, Anthropic&#8217;s Claude models secured five of the ten lowest vulnerability scores, including the lowest overall rate. However, the report noted that even single-digit failure rates present risks in high-stakes enterprise environments.<\/p><p class=\"wp-block-paragraph\">The research identified model size, reasoning capability, and the developer&#8217;s safety approach as the strongest predictors of resilience. Specifically, reasoning models that deliberate before responding showed a 19.9% vulnerability rate, compared to 55.1% for standard models. Meanwhile, smaller models remained highly susceptible to attacks regardless of whether they were open-source or proprietary.<\/p><h2 class=\"wp-block-heading\">Risk Categories and Model Behaviors<\/h2><p class=\"wp-block-paragraph\">The benchmark highlighted that these <strong>AI safety gaps<\/strong> cluster heavily around privacy exploitation, fraud, and <a href=\"\/category\/cybersecurity\/\">cybersecurity<\/a> threats. Furthermore, researchers identified a pattern termed &#8220;refuse-but-engage,&#8221; where a model officially declines a harmful request but still provides related information that could cause harm.<\/p><p class=\"wp-block-paragraph\">The study also noted that open-source models are not inherently less safe than closed ones. For instance, the GLM 4.7 model from China&#8217;s Zhipu AI outperformed several proprietary alternatives during the testing process.<\/p><h2 class=\"wp-block-heading\">Disproportionate Spending on Security<\/h2><p class=\"wp-block-paragraph\">The report highlighted a massive disparity between general <a href=\"\/category\/ai\/\">artificial intelligence<\/a> deployment and <a href=\"\/category\/economy\/\">economy<\/a>-wide security investments. While global AI spending is projected to reach $2.52 trillion in 2026, spending on AI trust, risk, and security management is projected at just $3.4 billion. This represents approximately $1 spent on security for every $735 spent on AI capabilities.<\/p><p class=\"wp-block-paragraph\">Consequently, 86% of organizations surveyed report that they have already experienced an AI-related security incident. This mismatch in funding leaves many enterprises underprepared to defend against emerging threats.<\/p><h2 class=\"wp-block-heading\">Recommendations for Enterprise Defense<\/h2><p class=\"wp-block-paragraph\">To address these <strong>AI safety gaps<\/strong>, Telus Digital recommends that enterprises transition to continuous, automated adversarial testing. This testing should be embedded directly into development workflows and combined with human oversight and clean data practices.<\/p>","protected":false},"excerpt":{"rendered":"<p>A new Telus Digital report reveals that every major generative AI model can be coaxed into unsafe behavior, leaving enterprises underprepared.<\/p>\n","protected":false},"author":8,"featured_media":79462,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_meta-robots-noindex":"","_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_pr_autopilot_social_copy":"{\"x_hook\":\"Telus Digital tested 34 AI models from 10 global providers and found vulnerability rates ranging from 1.3% to 93%, warning that enterprises are underprepared.\",\"x_takeaways\":\"Key Findings:\\n\ud83d\udd39 620,000+ adversarial tests conducted across 34 global AI models\\n\ud83d\udd39 Reasoning models showed 19.9% vulnerability vs 55.1% for standard models\\n\ud83d\udd39 Only $1 spent on security for every $735 spent on AI capabilities\\n\ud83d\udd39 86% of organizations already experienced an AI-related security incident\\n\ud83d\udd39 Continuous automated testing recommended to secure enterprise workflows\"}","_yoast_wpseo_opengraph_title":"Telus Digital Report Exposes Significant Security Vulnerabilities Across Generative AI Models","_yoast_wpseo_opengraph_description":"The second GenAI Safety Model Benchmark reveals that every tested model can be manipulated into unsafe behavior, with security spending lagging far behind adoption.","_yoast_wpseo_opengraph_image":"https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2026\/05\/ai-safety-gaps-security-report.webp","_yoast_wpseo_opengraph_image_id":79462,"_yoast_wpseo_twitter_title":"Telus Digital Report Exposes AI Safety Gaps","_yoast_wpseo_twitter_description":"A new benchmark study of 34 AI models reveals critical security vulnerabilities and a massive gap in enterprise safety spending.","_yoast_wpseo_twitter_image":"https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2026\/05\/ai-safety-gaps-security-report.webp","_yoast_wpseo_twitter_image_id":79462,"_yoast_wpseo_primary_category":449,"_extra_hide_author_box":"","_extra_featured_post":"0","_partner_post_id":0,"footnotes":""},"categories":[449,439,24],"tags":[1610,1429,944,4479],"class_list":["post-79463","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-cybersecurity","category-economy","tag-ai-safety","tag-enterprise-security","tag-generative-ai","tag-telus-digital","et-has-post-format-content","et_post_format-et-post-format-standard"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Safety Gaps - Telus Digital Security Report | Saudi Shopper<\/title>\n<meta name=\"description\" content=\"A Telus Digital report reveals critical AI safety gaps 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