AI Security

Protect AI Infrastructure Across Your Cloud

Runtime protection for AI workloads, models, datasets, identities, and GPU infrastructure.

AI Models
Discovery
GPU
Visibility
Runtime
Protection
Identity
Security
AI Security Graph
Contextual asset relationships
Protected
AI Model Endpoint
↓
Service Identity
↓
Vector Database
↓
Sensitive Dataset
Risk Exposure
0 Critical Paths
AI Asset Discovery

Discover and inventory every AI asset.

Continuously map AI infrastructure, models, datasets, identities, and runtime services across your cloud environment.

AI Asset Inventory

Automatically discovered resources

347 Assets
Foundation Models
Managed and self-hosted models
42
Datasets
Structured and unstructured data
89
AI Services
Inference and API endpoints
64
GPU Infrastructure
Training and inference compute
18
Discovered Assets
347
+21 discovered this week
Asset Coverage
Models 98%
Datasets 95%
Identities 100%
Platform Architecture

Security built for modern AI infrastructure

Runtime telemetry, cloud context, and AI asset intelligence unified into a single security platform.

AI Assets & Infrastructure
AI Models
Foundation & custom
GPU Clusters
Training & inference
Datasets
Structured & unstructured
Identities
Machine & service
AI APIs
Internal & external
Runtime Collection Layer

Rust eBPF Sensor

Collects process activity, network traffic, identities, secrets access, container behavior, and workload telemetry without impacting performance.

Security Intelligence Layer

Asset Graph

Risk Analysis

Attack Paths

Threat Detection

Outcomes
Visibility
Complete AI Asset Inventory
Protection
Runtime Threat Prevention
Risk Reduction
Eliminate Critical Attack Paths

How AI Security Works

AI Workloads
Rust eBPF
Runtime Signals
Context Engine
Risk Analysis
Response

AI Workload Visibility

GPU Activity

Monitor GPU utilization, workload behavior, and anomalous resource consumption.

AI Containers

Observe AI workloads across containers and orchestrated environments.

Runtime Activity

Track process execution, runtime behavior, and workload interactions.

Network Traffic

Monitor connections between AI services, APIs, and cloud resources.

Identity Usage

Analyze machine identities, service accounts, and API access.

Secrets Access

Detect suspicious access to credentials, tokens, and secrets.

AI Threat Detection

Unauthorized Model Access
Secrets Exposure
Data Exfiltration
Credential Theft
Malicious AI Containers
Privilege Escalation
Suspicious GPU Usage
Lateral Movement
Exposed AI APIs
Model Tampering
Anomalous Inference Activity
Overprivileged Identities

Governance & Compliance

NIST AI RMF
ISO 42001
SOC 2
ISO 27001
HIPAA
PCI DSS
Response Orchestration

Automated remediation for AI security incidents

Real-time response actions driven by runtime signals, AI correlation, and cloud context.

Active Incidents
7
Requiring immediate attention
Auto-Remediated
128
+18% this week
MTTR Reduction
-72%
Compared to baseline
Response Execution
Automated remediation playbooks
Stop Malicious Process
Immediately terminate anomalous runtime activity
CRITICAL
Quarantine AI Workload
Isolate compromised model or container
HIGH
Block Network Flow
Prevent suspicious outbound communication
HIGH
Rotate Credentials
Invalidate exposed secrets or tokens
MEDIUM
Disable Identity
Revoke compromised service accounts
HIGH
Automation Coverage
Runtime Actions 96%
Identity Controls 91%
Network Enforcement 88%
AI Remediation Engine
Policy-driven auto response
Actions triggered dynamically based on runtime severity and AI risk scoring.

Cloud & AI Security. Built for Runtime.

Real-time visibility, attack path intelligence, and AI workload protection powered by a high-performance Rust eBPF sensor.

Runtime Security
Attack Path Analysis
AI Workload Protection
Kubernetes Security
Identity Risk
Cloud Visibility