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vulnerabilities
How much cyber risk does AI create for organizations? 457 million security issues. Here’s what you can do about it.
Tenable detected 457 million AI-related security issues across over 7,000 organizations during a 30-day period, averaging 62,000 exposures per organization. These issues stem primarily from misconfigurations and unmanaged dependencies rather than traditional CVEs, and organizations continue to struggle with patching known vulnerabilities, with median time-to-patch increasing to 43 days. Security teams need to shift from CVE-focused approaches to comprehensive exposure management using automated workflows and AI-driven tools to address the full attack surface.
Why it matters: All organizations are accumulating AI-related security exposures at scale; security teams must implement automated exposure management and prioritize remediation of actively exploited vulnerabilities to prevent breaches, as 31 percent of breaches start with unpatched CVEs and organizations are patching more slowly while attackers move faster.
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- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
vulnerabilities
How much cyber risk does AI create for organizations? 457 million security issues. Here’s what you can do about it.
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
vulnerabilities
How much cyber risk does AI create for organizations? 457 million security issues. Here’s what you can do about it.
Tenable detected 457 million artificial intelligence (AI)-related security issues across 7,000-plus organizations over 30 days, averaging 62,000 exposures per organization. Most stemmed from misconfigurations and unmanaged dependencies rather than standard vulnerabilities. Security teams must shift from legacy vulnerability scanning to AI-driven exposure management that prioritizes critical attack paths and remediates issues at machine speed.
Why it matters: All organizations deploying or allowing unapproved AI tools face a surge in shadow AI misconfigurations and exposures; security practitioners need automated, contextual exposure management to keep pace with AI-accelerated threats and patch cycles that are already slowing (median 43 days versus 32 days last year).
- Source published
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
vulnerabilities
How much cyber risk does AI create for organizations? 457 million security issues. Here’s what you can do about it.
Tenable detected 457 million artificial intelligence (AI)-related security issues across 7,000-plus organizations over 30 days, averaging 62,000 exposures per organization. Most stemmed from misconfigurations and unmanaged dependencies rather than standard vulnerabilities. Security teams must shift from legacy vulnerability scanning to AI-driven exposure management that prioritizes critical attack paths and remediates issues at machine speed.
Why it matters: All organizations deploying or allowing unapproved AI tools face a surge in shadow AI misconfigurations and exposures; security practitioners need automated, contextual exposure management to keep pace with AI-accelerated threats and patch cycles that are already slowing (median 43 days versus 32 days last year).
- Source published
- First seen by Cybersecurity Tracker