Container-Native AI Agents.
Runtime Security for Your Workloads.
A single container deploys a full NDR + EDR + Vulnerability Management stack directly onto your edge hosts. All AI/ML inference runs locally — < 1ms detection latency, zero cloud dependency for runtime decisions. Supports x86-64 and ARM-64 across Docker, Kubernetes, OpenShift, and edge orchestration platforms.
Multi-Domain Threat Detection Engine
Three parallel detection pipelines — network, endpoint, vulnerability — feed into a unified ML/Stats correlation layer. Each pipeline operates independently with its own data sources, models, and response actions.
Network Detection & Response
Ingests raw packet data at kernel level via high-performance capture interfaces. Traffic flows through feature extraction, then parallel detection engines: deep neural network classifiers, behavioral models for anomaly detection, and threat intelligence feed matching.
Endpoint Detection & Response
Kernel-level instrumentation captures syscalls, process lifecycle events, and file system changes via eBPF probes. Events pass through normalization, then multiple detection engines: signature-based scanning, hash verification, and multi-stage behavioral algorithms for APT detection.
Vulnerability Management
Automated asset discovery scans host file systems and container images. Pre-processing evaluates exploitability and runtime state. SBOM generation feeds into centralized risk scoring, enabling prioritized remediation based on real-world exposure.
Cloud Coordination Layer
Agents self-register with per-instance attestation — no open ports or firewall changes required. Communication is event-driven: alerts stream in real time, telemetry is batched, model updates are pulled only when available. All detection logic operates independently of cloud connectivity.
Edge-Local Processing Pipeline
All data ingestion, feature extraction, ML inference, and response execution happens on the host. No raw data leaves your infrastructure.
Built for Autonomous Operation
Every capability runs independently at the edge. The agent operates as a self-contained security appliance — the cloud provides coordination, not computation.
On-Device AI/ML
Optimized neural network models execute locally within the container. No inference requests to external APIs. Models are pre-loaded and versioned independently of the agent binary.
Zero-Touch Registration
Agent self-registers via outbound-only connection. No open ports, no firewall rules, no manual configuration. Per-agent cryptographic attestation secures the registration flow.
Automated IPS
High-severity network threats trigger automatic IP blocking via native OS firewall integration. Configurable playbooks define custom response chains for different threat categories.
Offline Operation
Full detection and prevention stack operates without cloud connectivity. Events buffer locally and sync on reconnect. No degradation in security posture during network outages.
Kernel Instrumentation
eBPF probes provide low-overhead visibility into syscalls, process creation, network connections, and file operations. Kernel module support for broader Linux version compatibility.
OTA Model Refresh
ML models update independently via cloud-coordinated delivery. Supports generic models (all tenants) and personalized models pre-trained on environment-specific traffic patterns.
Multi-Interface Capture
Simultaneous sniffing across multiple NICs per host. Standard pcap for general use, DPDK for multi-Gbps environments requiring line-rate inspection with direct NIC mapping.
Network Asset Mapping
Protocol-level discovery via ARP, DNS, DHCP builds a continuously updated inventory of connected devices, services, and network topology without active scanning overhead.
Three Integration Modes
Select the deployment profile that matches your infrastructure constraints, security requirements, and performance targets.
Full Agent — NDR + EDR
Maximum visibility. Combined network and host-based detection with automated prevention. Requires NET_ADMIN capability and privileged mode for syscall instrumentation.
- Multi-interface network traffic analysis
- eBPF-based kernel event monitoring
- Automated IP blocking + playbook execution
- Malware scanning + file quarantine
- Full asset and vulnerability discovery
Accelerated NDR
Optimized for multi-Gbps environments. Agent maps directly to NICs via userspace driver, acting as an L2/L3 inline inspection point with prevention capabilities.
- Line-rate inspection at multi-Gbps
- Direct NIC-to-agent data path
- Inline blocking and traffic filtering
- Scalable core allocation (2n CPU cores)
- Privileged mode + NIC binding required
Passive / Mirrored NDR
Least-intrusive option. Agent receives a copy of traffic via mirrored port on a separate host. Detection-only — no inline prevention, no host instrumentation required.
- Zero modification to production hosts
- Hardware-isolated on dedicated machine
- Receives mirrored pcap stream via UDP
- Network anomaly detection only
- No special permissions required
Runs Everywhere Containers Run
Native container image supports all major orchestration platforms and Linux-based runtimes. Single image, any architecture.