Tenable detected 457 million AI-related security issues across 7,000+ organizations in a single 30-day period, averaging 62,000 exposures per organization. Most of these stem from shadow AI tools, LLM misconfigurations, and unmanaged dependencies rather than traditional CVEs. A real-world example shows a contractor secretly installing the agentic AI tool OpenClaw on cloud workloads with access to source code and API keys, controlled remotely via Telegram. The post argues that legacy CVE-focused vulnerability management is insufficient since 63% of breach entry points are non-CVE issues like misconfigurations and stolen credentials. The recommended solution is AI-driven exposure management that continuously maps attack paths across the full hybrid attack surface and enables machine-speed automated remediation.

8m read timeFrom tenable.com
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Key takeawaysHow much cybersecurity risk does AI create for organizations?The sad state of vulnerability remediationThe staggering scope and impact of non-CVE threatsThe invisible yet massive threat: Shadow AIEnter AI-driven exposure managementThe clock is ticking
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