AI that catches what others miss

Named after Ada Lovelace, a foundational thinker in computing. This model is specialized in fingerprint scoring for API servers.

Named after Girolamo Cardano, a pioneer in probability theory. This model performs confidence scoring on Layer 1 decisions.

Named after Gottfried Wilhelm Leibniz, who advanced formal logic. This model provides normalized account scoring using graph neural networks.

Named after Benjamin Franklin, a versatile innovator and thinker. This model scores email trust using fuzzy logic on the email pattern.

Named after Jacob Bernoulli, a father of modern probability. This model scores IP, AS and User Agent reputations using PU-Learning.

Named after Hannah Arendt, a political and ethical theorist. This model blocks high-scoring IPs using fuzzy logic.

Named after Baruch Spinoza, known for rationalist system-building. This model blocks IPs via scoring and hard rules.

Named after René Descartes, thinker of reason and duality. This model detects client-side behavior using real-time signal modeling.

Named after David Hume, an empiricist philosopher focused on observed behaviors. This model automatically adjusts behavioral thresholds based on session stats.

Named after Blaise Pascal, a pioneer of probability and decision theory. This model detects session anomalies from aggregated IP and sessions behaviors.

Named after Immanuel Kant, who explored how we perceive the world and structures. This model interprets real-time JS keyboard input to detect bots.

Named after John Venn, inventor of the Venn diagram. This model applies tagging based on IP aggregation and behavioral overlap.

Named after Alan Turing, a pioneer in machine reasoning. This model generates detection rules from time-based signal patterns.

Named after Marie Curie, known for discovering hidden elements and signal discovery. This model extracts detection rules from fingerprint scoring anomalies.

Named after Charles Darwin for its work on biological evolution. This model explores rule generation via genetic modeling techniques.

Named after Karl Popper, philosopher of science and falsifiability. This model identifies anomalies via distribution shifts.

Named after Thomas Bayes, a probability theorist. This model uses change-point heuristics for detecting sudden traffic shifts.

Named after Kurt Gödel, logician of incompleteness. This model flags edge-case anomalies across large field cardinalities.

Named after John Searle, known for theories of interpretation. This model refines account protection rules based on feedback loops.

Named after Michel Foucault, theorist of hidden systems and power structures. This model detects subtle browser-level TCP signal differences.

Named after Bertrand Russell, logician and system critic. This model generates fallback rules in realtime during attack escalation.

Named after Charles Babbage, the father of pattern computing. This model generalizes detection rules across customers.

Named after Noam Chomsky, linguist and cognitive theorist. This model performs structural refinement on detection rules.

Named after Socrates, master of questioning and critique. This model creates signature-based embeddings and detects bots using real-time clustering on those embeddings.

Named after Guglielmo Marconi, inventor of wireless transmission and radio telepathy. This model detects residential proxies by tracing hidden signal paths.