{"success":true,"data":{"pressRelease":{"id":"169914","rtpr_id":"nBw1j26Sa-20261015","ticker":"NABL","exchange":"NYSE","all_tickers":["NABL"],"title":"N-able Research Finds AI Security Tools are Threatened by Trust and Complexity Challenges","author":"Business Wire","published_at":"2026-10-15T10:00:00.774Z","article_body":"N-able Research Finds AI Security Tools are Threatened by Trust and Complexity\nChallenges\n\nNew global study finds as AI adoption accelerates, 75.5% of organizations\nstill don't fully trust AI-powered remediation without human review\n\nN-able\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=http%3A%2F%2Fwww.n-able.com&esheet=54622167&newsitemid=20261015468082&lan=en-US&anchor=N-able&index=1&md5=41c17481c0f5a48c84a100daae648951)\n, Inc. (NYSE: NABL), a global cybersecurity company delivering end-to-end\nbusiness resilience, today released “The AI Fog Report: When the Signal\nBecomes the Noise,”\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.n-able.com%2Fresources%2Fai-fog-report-2026&esheet=54622167&newsitemid=20261015468082&lan=en-US&anchor=%26%238220%3BThe+AI+Fog+Report%3A+When+the+Signal+Becomes+the+Noise%2C%26%238221%3B&index=2&md5=b63581a1de455a2a7aaef20b3051739c)\nan independent global research report examining how small and medium size\nenterprises are scaling to drive business continuity during this new era of\nFrontier AI.\n\nThe survey of 595 cybersecurity decision-makers and practitioners across the\nUnited States and United Kingdom finds the security industry at an inflection\npoint. As organizations rapidly adopt AI-powered security technologies,\nincreasingly capable Frontier AI models are transforming both cyber defense\nand attacker capabilities.\n\nThe research reveals three critical challenges: AI is amplifying complexity\nwithin already complex security environments, security teams are struggling to\nseparate context from noise to identify what matters most, and AI adoption is\noutpacing organizational trust and governance. Together, these trends are\nreshaping how organizations manage cyber risk and highlighting the need for\ngreater context, confidence, and control.\n\n\"Security teams are entering the AI era from an already difficult operating\nposition,\" said Brendan Griffin, Director of Threat Research at N-able. \"The\npromise of AI has never been greater, but simply adding more AI doesn't\nautomatically produce better security outcomes. Organizations need AI that\nreduces operational complexity, delivers meaningful context, and helps\ndefenders make confident decisions faster.\"\n\nAI is amplifying complexity inside already complex security environments\n\n\n * 86.1% of respondents report security alert volumes increased over the past 12\nmonths, including 24.2% who say alert volume increased by more than 50%.\n\n * Among organizations experiencing increased alert volume, respondents most\noften attribute growth to adding more detection tools (40.2%), followed by AI\nenabling attackers to launch attacks faster (26.2%), while 20.1% say multiple\nfactors are contributing simultaneously.\n\n * 84.5% have encountered a confirmed or suspected AI-assisted attack during the\npast year, illustrating how AI is accelerating the pace and scale of modern\nthreats.\n\n * 54.8% say alert noise interferes with incident response daily or several times\neach week, while only 8.7% report that alert noise rarely or never affects\noperations.\n\nThe findings suggest organizations are reaching a point of diminishing returns\nfrom layering AI on their existing stacks. As adoption continues to grow,\nreducing operational friction and helping defenders focus on the decisions\nthat matter most should be the core focus of AI security solutions.\n\nSecurity teams face a signal problem in addition to a volume problem\n\n\n * The leading sources of low-quality signal are duplicate alerts from\noverlapping tools (50.4%) and AI-generated alerts lacking sufficient context\n(48.9%), indicating organizations increasingly struggle with interpretation\nrather than detection alone.\n\n * 56.0% rank faster detection-to-containment as AI's most valuable operational\noutcome.\n\n * Respondents' desired outcomes consistently emphasize better prioritization\nover more telemetry, reinforcing that signal quality, not alert quantity, is\nbecoming the industry's defining challenge.\n\n * When asked what AI should optimize for, the largest share (37.8%) say both\nbroader detection coverage and better signal precision are equally important,\nwhile 32.6% prioritize broader detection and 29.6% prioritize fewer,\nhigher-confidence alerts.\n\nAI adoption is accelerating faster than organizational trust\n\n\n * 81.0% have meaningfully increased AI-powered security tool adoption during the\npast year, with another 16.5% planning to increase adoption over the next 12\nmonths.\n\n * Just 24.5% fully trust autonomous AI remediation, highlighting a significant\ngap between adoption and confidence.\n\n * Yet 87.1% report making at least minor security policy exceptions to enable AI\ntools. Additionally, only 51.9% maintain a comprehensive inventory of AI tools\noperating across their environments.\n\n * Before trusting autonomous AI, 62.7% of respondents require full\nexplainability. 59.8% require there to be built-in human override.\n\n * Only 41.0% are very confident their existing security stack can keep pace with\nAI without a significant overhaul.\n\nBoyd Smith, Founder and President, TechKnowledgey\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.techknowledgeyinc.com%2Fabout-us%2F&esheet=54622167&newsitemid=20261015468082&lan=en-US&anchor=TechKnowledgey&index=3&md5=8f8a60acf3c2b476e66fc0c59065345f)\nsaid, \" For many non-customer-facing roles, we're embracing AI for its\npotential to transform how we operate. AI creates the most value when it helps\nour teams cut through complexity and focus on the threats that matter most,\nfreeing them up to focus on people instead of running processes.\"\n\nThe full findings of “When the Signal Becomes the Noise: The AI Fog\nReport,” are available here:\nhttps://www.n-able.com/resources/ai-fog-report-2026\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.n-able.com%2Fresources%2Fai-fog-report-2026&esheet=54622167&newsitemid=20261015468082&lan=en-US&anchor=https%3A%2F%2Fwww.n-able.com%2Fresources%2Fai-fog-report-2026&index=4&md5=e6aba0ad6faf9fc730d17aafb76853f6)\n.\n\nAbout N-able\n\nN-able protects businesses from evolving cyberthreats. Our AI powered\ncybersecurity platform delivers business resilience to more than 500,000\norganizations worldwide, leveraging advanced end-to-end capabilities,\nsimplified workflows, market leading integrations, and flexible deployment\noptions to improve efficiency and drive critical security outcomes. Our\npartner-first approach pairs our technology with experts, training, and\npeer-led events that empower customers to be secure, resilient, and\nsuccessful. n-able.com\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.n-able.com%2F&esheet=54622167&newsitemid=20261015468082&lan=en-US&anchor=n-able.com&index=5&md5=5aecb4c9b07e936ca79d3d2aaba4c2f8)\n\n© 2026 N-able Solutions ULC and N-able Technologies Ltd. All rights reserved.\n\nThe N-able trademarks, service marks, and logos are the exclusive property of\nN-able Solutions ULC and N-able Technologies Ltd. All other trademarks are the\nproperty of their respective owners.\n\nThis press release contains forward-looking statements within the meaning of\nthe Private Securities Litigation Reform Act of 1995. These statements are\nbased on management's current expectations and are subject to risks and\nuncertainties. Actual results may differ materially. Readers are referred to\nthe Company's filings with the Securities and Exchange Commission, including\nits most recent Annual Report on Form 10-K and Quarterly Reports on Form 10-Q,\nfor a discussion of risks that could cause actual results to differ materially\nfrom those expressed in any forward-looking statement.\n\nCategory: Company\n\n\n\nView source version on businesswire.com:\nhttps://www.businesswire.com/news/home/20261015468082/en/\n(https://www.businesswire.com/news/home/20261015468082/en/)\n\nKim Cecchini\n\nkim.cecchini@n-able.com (mailto:kim.cecchini@n-able.com)\n\n\nCopyright Business Wire 2026","article_body_html":"","raw_payload":{"data":{"id":"nBw1j26Sa-20261015","title":"N-able Research Finds AI Security Tools are Threatened by Trust and Complexity Challenges","author":"Business Wire","ticker":"NABL","created":"2026-10-15T10:00:00.774Z","tickers":["NABL"],"exchange":"NYSE","article_body":"N-able Research Finds AI Security Tools are Threatened by Trust and Complexity\nChallenges\n\nNew global study finds as AI adoption accelerates, 75.5% of organizations\nstill don't fully trust AI-powered remediation without human review\n\nN-able\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=http%3A%2F%2Fwww.n-able.com&esheet=54622167&newsitemid=20261015468082&lan=en-US&anchor=N-able&index=1&md5=41c17481c0f5a48c84a100daae648951)\n, Inc. (NYSE: NABL), a global cybersecurity company delivering end-to-end\nbusiness resilience, today released “The AI Fog Report: When the Signal\nBecomes the Noise,”\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.n-able.com%2Fresources%2Fai-fog-report-2026&esheet=54622167&newsitemid=20261015468082&lan=en-US&anchor=%26%238220%3BThe+AI+Fog+Report%3A+When+the+Signal+Becomes+the+Noise%2C%26%238221%3B&index=2&md5=b63581a1de455a2a7aaef20b3051739c)\nan independent global research report examining how small and medium size\nenterprises are scaling to drive business continuity during this new era of\nFrontier AI.\n\nThe survey of 595 cybersecurity decision-makers and practitioners across the\nUnited States and United Kingdom finds the security industry at an inflection\npoint. As organizations rapidly adopt AI-powered security technologies,\nincreasingly capable Frontier AI models are transforming both cyber defense\nand attacker capabilities.\n\nThe research reveals three critical challenges: AI is amplifying complexity\nwithin already complex security environments, security teams are struggling to\nseparate context from noise to identify what matters most, and AI adoption is\noutpacing organizational trust and governance. Together, these trends are\nreshaping how organizations manage cyber risk and highlighting the need for\ngreater context, confidence, and control.\n\n\"Security teams are entering the AI era from an already difficult operating\nposition,\" said Brendan Griffin, Director of Threat Research at N-able. \"The\npromise of AI has never been greater, but simply adding more AI doesn't\nautomatically produce better security outcomes. Organizations need AI that\nreduces operational complexity, delivers meaningful context, and helps\ndefenders make confident decisions faster.\"\n\nAI is amplifying complexity inside already complex security environments\n\n\n * 86.1% of respondents report security alert volumes increased over the past 12\nmonths, including 24.2% who say alert volume increased by more than 50%.\n\n * Among organizations experiencing increased alert volume, respondents most\noften attribute growth to adding more detection tools (40.2%), followed by AI\nenabling attackers to launch attacks faster (26.2%), while 20.1% say multiple\nfactors are contributing simultaneously.\n\n * 84.5% have encountered a confirmed or suspected AI-assisted attack during the\npast year, illustrating how AI is accelerating the pace and scale of modern\nthreats.\n\n * 54.8% say alert noise interferes with incident response daily or several times\neach week, while only 8.7% report that alert noise rarely or never affects\noperations.\n\nThe findings suggest organizations are reaching a point of diminishing returns\nfrom layering AI on their existing stacks. As adoption continues to grow,\nreducing operational friction and helping defenders focus on the decisions\nthat matter most should be the core focus of AI security solutions.\n\nSecurity teams face a signal problem in addition to a volume problem\n\n\n * The leading sources of low-quality signal are duplicate alerts from\noverlapping tools (50.4%) and AI-generated alerts lacking sufficient context\n(48.9%), indicating organizations increasingly struggle with interpretation\nrather than detection alone.\n\n * 56.0% rank faster detection-to-containment as AI's most valuable operational\noutcome.\n\n * Respondents' desired outcomes consistently emphasize better prioritization\nover more telemetry, reinforcing that signal quality, not alert quantity, is\nbecoming the industry's defining challenge.\n\n * When asked what AI should optimize for, the largest share (37.8%) say both\nbroader detection coverage and better signal precision are equally important,\nwhile 32.6% prioritize broader detection and 29.6% prioritize fewer,\nhigher-confidence alerts.\n\nAI adoption is accelerating faster than organizational trust\n\n\n * 81.0% have meaningfully increased AI-powered security tool adoption during the\npast year, with another 16.5% planning to increase adoption over the next 12\nmonths.\n\n * Just 24.5% fully trust autonomous AI remediation, highlighting a significant\ngap between adoption and confidence.\n\n * Yet 87.1% report making at least minor security policy exceptions to enable AI\ntools. Additionally, only 51.9% maintain a comprehensive inventory of AI tools\noperating across their environments.\n\n * Before trusting autonomous AI, 62.7% of respondents require full\nexplainability. 59.8% require there to be built-in human override.\n\n * Only 41.0% are very confident their existing security stack can keep pace with\nAI without a significant overhaul.\n\nBoyd Smith, Founder and President, TechKnowledgey\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.techknowledgeyinc.com%2Fabout-us%2F&esheet=54622167&newsitemid=20261015468082&lan=en-US&anchor=TechKnowledgey&index=3&md5=8f8a60acf3c2b476e66fc0c59065345f)\nsaid, \" For many non-customer-facing roles, we're embracing AI for its\npotential to transform how we operate. AI creates the most value when it helps\nour teams cut through complexity and focus on the threats that matter most,\nfreeing them up to focus on people instead of running processes.\"\n\nThe full findings of “When the Signal Becomes the Noise: The AI Fog\nReport,” are available here:\nhttps://www.n-able.com/resources/ai-fog-report-2026\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.n-able.com%2Fresources%2Fai-fog-report-2026&esheet=54622167&newsitemid=20261015468082&lan=en-US&anchor=https%3A%2F%2Fwww.n-able.com%2Fresources%2Fai-fog-report-2026&index=4&md5=e6aba0ad6faf9fc730d17aafb76853f6)\n.\n\nAbout N-able\n\nN-able protects businesses from evolving cyberthreats. Our AI powered\ncybersecurity platform delivers business resilience to more than 500,000\norganizations worldwide, leveraging advanced end-to-end capabilities,\nsimplified workflows, market leading integrations, and flexible deployment\noptions to improve efficiency and drive critical security outcomes. Our\npartner-first approach pairs our technology with experts, training, and\npeer-led events that empower customers to be secure, resilient, and\nsuccessful. n-able.com\n(https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.n-able.com%2F&esheet=54622167&newsitemid=20261015468082&lan=en-US&anchor=n-able.com&index=5&md5=5aecb4c9b07e936ca79d3d2aaba4c2f8)\n\n© 2026 N-able Solutions ULC and N-able Technologies Ltd. All rights reserved.\n\nThe N-able trademarks, service marks, and logos are the exclusive property of\nN-able Solutions ULC and N-able Technologies Ltd. All other trademarks are the\nproperty of their respective owners.\n\nThis press release contains forward-looking statements within the meaning of\nthe Private Securities Litigation Reform Act of 1995. These statements are\nbased on management's current expectations and are subject to risks and\nuncertainties. Actual results may differ materially. Readers are referred to\nthe Company's filings with the Securities and Exchange Commission, including\nits most recent Annual Report on Form 10-K and Quarterly Reports on Form 10-Q,\nfor a discussion of risks that could cause actual results to differ materially\nfrom those expressed in any forward-looking statement.\n\nCategory: Company\n\n\n\nView source version on businesswire.com:\nhttps://www.businesswire.com/news/home/20261015468082/en/\n(https://www.businesswire.com/news/home/20261015468082/en/)\n\nKim Cecchini\n\nkim.cecchini@n-able.com (mailto:kim.cecchini@n-able.com)\n\n\nCopyright Business Wire 2026"},"type":"article","timestamp":"2026-10-15T10:00:01.310018446Z","server_sent_at_ms":1792058401310},"received_at":"2026-10-15T10:00:01.360Z","source_url":"https://www.businesswire.com/news/home/20261015468082/en/"},"analysis":{"id":"158124","press_release_id":"169914","analysis_json":{"industry":{"label":"Software","sector":"Information Technology"},"redFlags":[],"eventType":"other","narrative":"N-able released an independent global research report, 'The AI Fog Report: When the Signal Becomes the Noise,' surveying 595 cybersecurity decision-makers in the US and UK.\n\nKey findings include 75.5% of organizations not fully trusting AI-powered remediation without human review, 84.5% encountering a confirmed or suspected AI-assisted attack in the past year, and only 24.5% fully trusting autonomous AI remediation.\n\nThe report positions N-able's thesis that AI security tools must reduce complexity and deliver context rather than add alert volume; it is thought-leadership marketing content with no direct financial impact.","sentiment":"neutral","agentHooks":{"shouldPost":false,"suggestedAngle":"Vendor research report on AI security trust gaps -- content marketing, not a material corporate event."},"keyFigures":{"customDimensions":{"survey_respondents":595,"pct_alert_volume_increase":"86.1%","pct_increased_ai_tool_adoption":"81.0%","pct_reported_ai_assisted_attack":"84.5%","pct_dont_fully_trust_ai_remediation":"75.5%","pct_fully_trust_autonomous_ai_remediation":"24.5%"}},"quotedText":"The promise of AI has never been greater, but simply adding more AI doesn't automatically produce better security outcomes.","namedEntities":{"people":[{"name":"Brendan Griffin","role":"Director of Threat Research at N-able"},{"name":"Boyd Smith","role":"Founder and President, TechKnowledgey"},{"name":"Kim Cecchini","role":"media contact"}],"products":["The AI Fog Report: When the Signal Becomes the Noise"],"companies":[{"name":"N-able, Inc.","ticker":"NABL","relationship":"filer/author"},{"name":"TechKnowledgey","relationship":"quoted customer/partner"}],"dollarAmounts":[]},"materialImpact":{"score":1,"reasoning":"This is a marketing research survey report published by the company, with no financial results, guidance, contracts, or product announcements. It is thought-leadership content with no direct earnings impact."},"tickerRelevance":{"others":[],"primary":"NABL"},"globalImportance":10,"audienceRelevance":12,"eventTypeSecondary":[],"importanceComponents":{"tickerTier":"small-cap","eventGravity":"vendor-thought-leadership-report","issuerAuthored":true}},"event_type":"other","event_type_secondary":null,"sentiment":"neutral","material_impact_score":1,"narrative":"N-able released an independent global research report, 'The AI Fog Report: When the Signal Becomes the Noise,' surveying 595 cybersecurity decision-makers in the US and UK.\n\nKey findings include 75.5% of organizations not fully trusting AI-powered remediation without human review, 84.5% encountering a confirmed or suspected AI-assisted attack in the past year, and only 24.5% fully trusting autonomous AI remediation.\n\nThe report positions N-able's thesis that AI security tools must reduce complexity and deliver context rather than add alert volume; it is thought-leadership marketing content with no direct financial impact.","key_figures":{"customDimensions":{"survey_respondents":595,"pct_alert_volume_increase":"86.1%","pct_increased_ai_tool_adoption":"81.0%","pct_reported_ai_assisted_attack":"84.5%","pct_dont_fully_trust_ai_remediation":"75.5%","pct_fully_trust_autonomous_ai_remediation":"24.5%"}},"named_entities":{"people":[{"name":"Brendan Griffin","role":"Director of Threat Research at N-able"},{"name":"Boyd Smith","role":"Founder and President, TechKnowledgey"},{"name":"Kim Cecchini","role":"media contact"}],"products":["The AI Fog Report: When the Signal Becomes the Noise"],"companies":[{"name":"N-able, Inc.","ticker":"NABL","relationship":"filer/author"},{"name":"TechKnowledgey","relationship":"quoted customer/partner"}],"dollarAmounts":[]},"model_name":"glm-5.3-flashx","prompt_hash":"sha256:5c812bd9e28b810d","schema_hash":"sha256:05005c02d9cffac9","created_at":"2026-10-15T10:00:06.647Z","global_importance":10,"audience_relevance":12,"importance_components":{"tickerTier":"small-cap","eventGravity":"vendor-thought-leadership-report","issuerAuthored":true}},"durationMs":5257,"modelName":"glm-5.3-flashx"}}