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AI-driven vulnerability discovery creates noise, not safety, for security teams

The increasing use of AI in vulnerability discovery is overwhelming security teams with a flood of findings, which does not necessarily equate to improved security. While AI accelerates the identification of weaknesses for both defenders and attackers, security teams often prioritize vulnerabilities based on severity scores rather than an attacker's practical path to compromise. This disconnect, amplified by AI, leads to teams spending more time triaging noise and less time addressing genuine risks, creating a dangerous operational imbalance. AI

IMPACT AI's role in vulnerability discovery is creating an overload of data for security teams, potentially hindering rather than helping risk reduction.

RANK_REASON Opinion piece by an industry executive discussing the impact of AI on cybersecurity practices.

Read on Forbes — Innovation →

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AI-driven vulnerability discovery creates noise, not safety, for security teams

COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Ido Geffen, Forbes Councils Member ·

    AI Is Flooding Security Teams With Findings—That Doesn’t Mean They’re Safer

    Faster does not always mean safer, and finding more vulnerabilities is not the same thing as reducing meaningful exposure.