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Inadequate security readiness for AI deployments in organizations

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1 unique sources, 1 articles

Summary

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Organizations are rapidly adopting AI, particularly generative AI, without adequate security measures. This trend exposes them to significant cybersecurity risks, including phishing, fraud, and model manipulation. The lack of preparedness is evident across various sectors, with smaller businesses being particularly vulnerable. Effective AI security requires integrated, proactive measures and a security-first mindset. The World Economic Forum (WEF) and Accenture highlight that many organizations lack foundational data and AI security practices, leaving them exposed to AI-driven cyberattacks. These attacks can exploit vulnerabilities in AI systems, leading to data breaches and financial losses. Organizations need to embed security into AI development pipelines, continuously monitor AI models, and unify cyber resilience strategies to mitigate these risks.

Timeline

  1. 26.09.2025 17:01 1 articles · 3d ago

    Organizations lack security readiness for AI deployments

    Organizations are rapidly adopting AI, particularly generative AI, without adequate security measures. This trend exposes them to significant cybersecurity risks, including phishing, fraud, and model manipulation. The lack of preparedness is evident across various sectors, with smaller businesses being particularly vulnerable. Effective AI security requires integrated, proactive measures and a security-first mindset. The World Economic Forum (WEF) and Accenture highlight that many organizations lack foundational data and AI security practices, leaving them exposed to AI-driven cyberattacks. These attacks can exploit vulnerabilities in AI systems, leading to data breaches and financial losses. Organizations need to embed security into AI development pipelines, continuously monitor AI models, and unify cyber resilience strategies to mitigate these risks.

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Information Snippets

  • 92% of technology leaders expected to increase AI spending in 2025, a 10% increase over 2024.

    First reported: 26.09.2025 17:01
    1 source, 1 article
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  • 66% of organizations believe AI will significantly affect cybersecurity in the next 12 months, but only 37% have processes in place to assess AI security before deployment.

    First reported: 26.09.2025 17:01
    1 source, 1 article
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  • 69% of smaller businesses lack safeguards for secure AI deployment, such as monitoring training data or inventorying AI assets.

    First reported: 26.09.2025 17:01
    1 source, 1 article
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  • 77% of organizations lack foundational data and AI security practices, and only 20% express confidence in their ability to secure generative AI models.

    First reported: 26.09.2025 17:01
    1 source, 1 article
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  • 47% of organizations view AI-enabled cyberattacks as their top concern, with 42% experiencing social engineering attacks last year.

    First reported: 26.09.2025 17:01
    1 source, 1 article
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  • AI worms such as Morris II can embed malicious prompts into models, hijacking AI assistants to exfiltrate data or spread spam.

    First reported: 26.09.2025 17:01
    1 source, 1 article
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  • AI-generated voices, images, and videos are increasingly used in deepfake-enabled scams, making fraud faster, cheaper, and harder to detect.

    First reported: 26.09.2025 17:01
    1 source, 1 article
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  • Only 10% of companies have reached the 'Reinvention-Ready Zone,' combining mature cyber strategies with integrated monitoring, detection, and response capabilities.

    First reported: 26.09.2025 17:01
    1 source, 1 article
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  • Firms in the 'Reinvention-Ready Zone' are 69% less likely to experience AI-powered cyberattacks than less prepared organizations.

    First reported: 26.09.2025 17:01
    1 source, 1 article
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  • More than half of all attacks on managed service providers (MSPs) in H1 2025 were phishing attempts, largely driven by AI capabilities.

    First reported: 26.09.2025 17:01
    1 source, 1 article
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