Solutions · By Feature

Pick the capability.
It already runs in one container.

Most security stacks are a patchwork of EDR, NDR, container scanners, vulnerability tools, GRC, and a SIEM that swallows it all. AI EdgeLabs collapses that picture into a single lightweight runtime agent — every capability below is a module of the same deployment, on the same host, with the same telemetry and the same compliance evidence.

One agent9 modulesNo bolt-ons. No per-workload billing.
Footprint< 4% CPU< 1 GB RAM, single core
Latency< 1 msp99 on-host inference
EgressZeroAll inference stays local
Detection & Response

See and stop attacks on the host.

Endpoint, network and Kubernetes runtime — three classical product categories, one kernel-level agent. eBPF telemetry feeds correlated detection that fires inline, blocks at line rate, and contains threats before damage occurs. No cloud round-trip required.

AI & Agents

Let AI scale safely — with external guardrails.

LLM-side guardrails are recommendations the model can ignore. AI EdgeLabs enforces guardrails outside the model: every tool call, command, and output is checked against your policy before it executes. Pair that with an AI-native SOC layer and a small team can run an APT-grade response.

Parallax · AI / LLM Security

External AI agent guardrails

Sub-millisecond evaluation of every tool call from Claude Code, Codex, LangChain, CrewAI, OpenAI/Anthropic SDKs. Block destructive commands, prompt injection, secret leakage, and shadow AI before they reach production.

  • Activity graph & perimeter fence per agent
  • DLP for secrets, PII, sensitive context
  • Behavioral drift detection per execution
Parallax · DLP · Shadow AISee platform
AI Security Assistant

SOC analyst, on every alert

Translates raw EDR/NDR telemetry into clear, MITRE-mapped incident summaries with verification steps and recommended response. Cuts alert fatigue and reduces investigation time from hours to minutes.

  • Contextual insights on each alert
  • Severity- and impact-aware reporting
  • Bridges IT and OT visibility
AI SecOps · SOCModule of the runtime agent
AI-Generated Playbooks

Autonomous response, your rules

Pre-defined playbooks fire instantly. For novel and APT-class threats the AI generates custom executable remediation in seconds — built on real operational experience against Sandworm, APT28, and APT44.

  • Isolate, kill, deny, block, quarantine
  • Forensic timeline & impact assessment
  • Compliance-ready incident documentation
Playbooks · AutonomousModule of the runtime agent
One platform vs. tool sprawl

Replace 3–5 tools with one runtime agent.

Mature security stacks typically eliminate two to three redundant tools within the first six months of deployment.

Before

Disconnected tool stack

  • EDR for endpoints (CrowdStrike / SentinelOne)
  • NDR / firewall for network (Palo Alto / Fortinet)
  • CNAPP / scanner for cloud posture (Wiz / Lacework)
  • K8s runtime tool (separate license)
  • SIEM to glue it all together (Splunk / Sentinel)
  • GRC for compliance evidence
After

One runtime agent, every host

  • EDR + NDR + KSPM in a single eBPF agent
  • Vulnerability management with EPSS / KEV
  • Parallax for AI / agent / LLM security
  • Compliance Center for NIS2 / CRA / ISO / HIPAA
  • AI Security Assistant + AI-generated playbooks
  • One container per host. Online or air-gapped.

Map your existing tool stack to a single runtime agent.

Bring us your current EDR, NDR, scanner, and compliance footprint — and we'll show what consolidates, what stays, and what you can decommission first.