Three integrated layers of autonomous defence — Threat Intelligence, Endpoint Security, and Cloud Protection — working as one unified security fabric to neutralise every attack vector.
ShieldGrid's threat intelligence engine ingests over 2 trillion signals per day from global honeypots, dark web monitoring, OSINT, and partner feeds. Our NeuroShield™ ML model correlates signals across 47 dimensions to surface actionable intelligence — not noise.
12 specialised neural networks running in parallel, each trained on a unique threat class — from ransomware to nation-state TTPs.
Real-time visualisation of attack origins across 195 countries with automatic geo-fencing and country-level policy enforcement.
UEBA baseline establishes normal patterns and flags anomalous activity with contextual risk scoring across identity and data layers.
Our AI-native endpoint agent runs on Windows, macOS, Linux, and container environments. It enforces zero-trust posture, monitors kernel-level activity, and autonomously contains threats — without human intervention.
Every endpoint treated as hostile until verified. Continuous authentication, least-privilege access, and real-time posture assessment.
Full MDM integration with iOS, Android, and Windows Mobile. Enforce encryption, remote wipe, and conditional access policies.
Complete attack chain reconstruction with one click. 12-month activity history for every endpoint for post-incident investigation.
Unified cloud security posture management across AWS, Azure, Google Cloud, and hybrid environments. ShieldGrid continuously audits your cloud configuration, workloads, Kubernetes clusters, and serverless functions — remediating issues automatically.
Deep API integration with all major cloud providers. No agents required for cloud control plane monitoring — fully agentless option.
Scan IaC templates (Terraform, CloudFormation) in CI/CD pipelines. Block insecure infrastructure before it reaches production.
Visualise complete attack paths through your cloud environment. Identify misconfigurations that would lead to data exfiltration.
See exactly how ShieldGrid AI stacks up against traditional SIEMs, point solutions, and competing XDR platforms.
| Capability | ShieldGrid AI | Legacy SIEM | Point EDR | Competing XDR |
|---|---|---|---|---|
| AI-native threat detection | ✓ Autonomous | ✗ Rule-based | ~ Limited | ~ Partial |
| Mean response time | ✓ <4ms | ✗ Minutes | ~ Seconds | ~ 30–90s |
| Zero-day detection | ✓ Behavioural AI | ✗ Signature only | ~ Heuristics | ~ Partial |
| Cloud-native architecture | ✓ Full | ✗ Legacy on-prem | ✗ No | ~ Hybrid |
| Auto-remediation SOAR | ✓ 600+ playbooks | ~ Manual | ✗ No | ~ Limited |
| Compliance automation | ✓ GDPR, ISO, SOC2, HIPAA | ~ Basic | ✗ No | ~ Partial |
| Dark web monitoring | ✓ Continuous | ✗ No | ✗ No | ✗ No |
Connect endpoints, cloud, network, and identity via agentless APIs or lightweight agents in under 48 hours.
NeuroShield™ AI processes your security telemetry in real time, building a living threat model.
Threats identified across 47 detection dimensions including behavioural anomalies, IOCs, and TTPs.
Automated SOAR playbooks execute containment in under 4ms — before damage occurs.
Compliance reports and executive dashboards delivered automatically — always audit-ready.
Plug into your existing security stack via REST API, webhooks, and native connectors — no rip-and-replace required.