Investor enthusiasm for AI has fueled expectations that it will dramatically improve software development, automation, and cybersecurity operations.
AI has already changed how software is built, how attacks are generated, and how quickly both move through enterprises. It has also raised expectations for defenders: faster analysis, better prioritization, and more automated decision-making.
However, when both attackers and developers operate at machine speed, prevention depends less on smarter predictions and more on clear, enforceable decisions grounded in intent.
Probabilistic Security Is Not Enough
Most security tools, especially those incorporating machine learning or large language models, are probabilistic by design. They generate likelihoods: this file is probably malicious, this behavior is likely suspicious, this activity has a high likelihood of being an attack.
