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Swapping to CTIFoundry allows smaller models to outperform flagship models, achieving higher accuracy with fewer tool calls in cyber threat intelligence investigations.
LLMs can finally extract cyberattack patterns from threat reports with high precision, thanks to a novel "diverge-then-converge" approach that mimics how human analysts validate findings.