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ai security
The Hunter's Paradox: Is it time to embrace automated threat hunting?
A security researcher examines the tension between the human and AI approaches to threat hunting: humans cannot process the volume and velocity of modern security data alone, yet AI systems struggle with the deception and misdirection that attackers routinely embed in telemetry. The piece argues that resolving this paradox requires moving beyond an either-or debate to find a balanced approach that acknowledges both constraints.
Why it matters: Security teams and leaders deciding on threat hunting operations need to understand that neither pure human-driven hunting nor fully automated AI-based hunting is viable; the hybrid approach requires rethinking how to architect tooling and processes that account for AI's blindness to adversarial deception.
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ai security
The Hunter's Paradox: Is it time to embrace automated threat hunting?
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
ai security
The Hunter's Paradox: Is it time to embrace automated threat hunting?
The article discusses the tension between the need for automation in threat hunting due to growing data volumes and the lack of full trust in artificial intelligence that can be misled by attacker deception. It argues that while humans cannot keep pace with telemetry, AI systems often accept misleading inputs at face value, which skews their judgments. The author proposes that resolving the paradox starts with revising the definition of threat hunting to incorporate both human insight and automated checks.
Why it matters: Security analysts and threat hunters face delayed detection if they rely only on manual hunts or unchecked AI, so they should validate automated outputs before acting.
- Source published
- First seen by Cybersecurity Tracker