Why We Exist

The AI and agent security
crisis is today.

AI adoption has outpaced security by orders of magnitude, and autonomous agents have expanded the blast radius. Enterprises now need security that covers both model behavior and host-level agent actions. NeuroSec was founded to close that gap before it becomes catastrophic.

The Problem

The numbers don't lie

AI is the fastest enterprise technology adoption in history. The security response has not kept pace, not even close.

65%

of enterprises now use Generative AI, a number that doubled in just 10 months

$670K

additional breach cost when shadow AI is involved in a security incident

2025

EU AI Act enforcement began, and most enterprises are nowhere near ready

AI threat landscape

"Traditional security tools were not built for AI.
They can't see the attack surface AI creates."

Core insight that led to NeuroSec's founding

Root Causes

Why existing tools fail
at AI and agent security

The problem isn't that security teams aren't trying. It's that every tool in their stack was designed for a pre-AI world.

🔍

SIEMs are blind to AI-specific threats

Traditional SIEMs log infrastructure events. They have no concept of prompt injection, model exfiltration, or adversarial input patterns. They generate alerts based on network and endpoint signatures, none of which apply to AI attack vectors.

☁️

Cloud security covers infrastructure, not AI behavior

Cloud security platforms (CSPMs) secure the container running the model, not the model itself, its inputs, outputs, or the data it processes. The most dangerous AI attack vectors live in the application layer, not the infrastructure.

🔧

Point tools create coverage gaps by design

Some vendors offer single-layer AI security: a prompt firewall here, a model scanning tool there. But AI security requires integrated coverage across discovery, detection, posture, red teaming, and compliance simultaneously. Point solutions leave the gaps that attackers exploit.

🤖

The agent security gap is now operational risk

Autonomous agents and MCP-connected tools can read files, invoke commands, and call internal services. Existing controls rarely provide per-agent identity, action-level decisions, anomaly baselines, and host-level policy enforcement in one workflow.

Our Mission

Protecting the AI systems
that power the future

We believe the companies building on AI deserve security infrastructure that was built for modern AI and autonomous agents, not retrofitted from a pre-AI era.

NeuroSec's mission is to become the trusted security layer for every enterprise AI deployment on earth. The platform that makes AI adoption safe by default, not as an afterthought.

For Security Teams

One operating layer across runtime threat detection, firewall policy evaluation, agent discovery, and host-level controls in supported environments.

For Compliance Teams

Automated EU AI Act, NIST AI RMF, ISO 42001, and SOC 2 evidence with agent ownership and decision-history context ready for audits.

For the C-Suite

Board-ready posture reporting that combines model risk with agent operational risk, so AI adoption scales with controls rather than hidden exposure.

Let's Talk

Ready to see NeuroSec
in action?

Whether you're an investor, a potential customer, or a partner we'd love to show you why we think NeuroSec is the defining AI security company of this decade.

Schedule a Call → View the Platform