Beyond the Alert

Rezliant Inc.'s Brook Schoenfield on AI Error Rates vs Human SOC Analysis

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Brook Schoenfield, Chief Scientist and EVP of Services at Rezliant Inc., brings decades of security architecture experience to explain why SOCs function as the ultimate firewall when all other defenses fail. His mathematical framework for understanding software vulnerabilities reveals why human expertise remains irreplaceable in modern threat detection.

Brook demonstrates how sophisticated attackers exploit the inevitable failure points in software-based security controls. His insights challenge the notion that SOC work is purely reactive, positioning it instead as the critical last defense that can save or destroy entire organizations.

Topics Discussed:

  • The mathematical impossibility of finding every software bug, rooted in Alan Turing's 1936 proof.
  • How reverse engineering tools have evolved from primitive to sophisticated, making system exploitation trivial by comparison.
  • Why the progression from initial breach signals to deeper compromise indicators creates decreasing noise levels.
  • The fundamental difference between AI probabilistic error rates and human variable performance factors.
  • Strategic approaches to signal-versus-noise differentiation that focus on behavioral patterns unique to malicious activities.
  • The training-ground value of SOC analyst positions as entry points into cybersecurity careers, developing valuable pattern recognition skills.
  • How targeted machine learning models outperform general-purpose AI systems for specific security tasks by maintaining smaller error rates.
  • The critical importance of human creativity and nonlinear analytical thinking for detecting subtle attack progressions.
  • Why organizations need both advanced AI pattern recognition capabilities and experienced human oversight.

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    Beyond the AlertBy Dropzone AI