NeuroSec unifies model security and agent security: detect prompt threats in runtime traffic, discover agent processes across hosts, enforce host-level controls, and generate audit-ready governance evidence in one platform.
65% of enterprises now use Generative AI, doubling in just 10 months. Now agent frameworks, MCP servers, and CLI copilots are being deployed across developer fleets with access to files, networks, and credentials. Traditional SIEM and infrastructure tooling were not built for this.
Every model endpoint, prompt chain, dataset, and autonomous agent process creates a new entry point. Most legacy tools miss both the model layer and the agent layer.
Employees deploy unauthorized AI tools daily. Undetected shadow AI incidents cost organizations $670K+ more per breach.
Agent tools can execute shell commands, access files, and call internal services. Security teams need per-agent identity, ownership, decision scope, and action-level audit trails.
NeuroSec is the first solution to cover the entire AI security lifecycle end-to-end. From discovery to compliance automation.
Surface model endpoints, datasets, prompts, shadow AI, and discovered agent workloads across cloud, on-prem, and developer environments.
Detect prompt injection, jailbreak attempts, data leakage, agent compromise patterns, and anomalous behavior in real time.
Continuously score your AI risk posture across all assets with a unified dashboard refreshed in under 60 seconds.
Discover active agent processes, track actions and anomalies, and apply host-level controls such as seccomp, cgroups, and filesystem restrictions in supported environments.
Auto-generate evidence for EU AI Act, NIST AI RMF, ISO 42001, and SOC 2, including Agent-on-a-Page governance records and decision logs.
Granular role-based access, audit logs, and policy enforcement for enterprise teams.
Explore Full Platform →A decade of combined experience at the intersection of AI systems and enterprise security. From the CISO seat and the engineering trenches.
Talk to our security engineering team and launch your first AI risk assessment in days, not quarters.
