What is the impact of AI on the evolving threat landscape?

• A. AI models must be updated with the latest threat intelligence to remain effective
• B. Threats become static
• C. AI eliminates all threats
• D. Threat intelligence is unnecessary

Answer: (A)

As the threat landscape shifts, AI in security must be continually refreshed with the latest threat intelligence to stay effective. New attack techniques, adversary toolkits, and evolving infrastructure push the patterns we rely on to detect threats to change. By incorporating current indicators of compromise, attacker TTPs, and contextual intel into training data, models can be retrained, features can be updated, and decision thresholds can be recalibrated. This keeps detection relevant, broadens coverage, and reduces the chance of missing new attacks or misclassifying legitimate activity.

If threat intel isn’t kept up-to-date, the model can drift away from current realities, leading to degraded performance, missed threats, or increased false positives. The landscape isn’t static, and AI doesn’t magically eliminate all threats; ongoing threat intelligence is essential to maintain effectiveness and resilience.