Sentinel AIDetect. Predict.Neutralise.
Sentinel AI is an autonomous multi-cloud security platform that uses AI to detect, predict, and neutralise threats across AWS, Azure, and GCP — before they become incidents.
AI that works while your team sleeps
Sentinel AI combines graph-based threat modelling, reinforcement learning remediation, and explainable AI so every action is transparent and auditable.
AI Threat Detection
Temporal Graph Neural Network (T-GNN) models analyse cloud event sequences to detect anomalous behaviour invisible to rule-based systems.
Autonomous Remediation
Reinforcement learning (PPO) selects and executes the optimal remediation action — isolate, revoke, quarantine — with a full explainability trace.
Agentless Multi-Cloud
Native coverage across AWS, Azure, and GCP with no agents to deploy. Connects via cloud APIs and event streams — up and running in minutes.
Attack Graph Visualisation
Graph database (Neo4j) maps lateral movement paths and blast radius for every finding, so analysts understand the full attack chain at a glance.
MITRE ATT&CK Mapping
Every finding is automatically tagged to the MITRE ATT&CK framework technique, enabling structured threat intelligence and reporting.
SentinelGPT Copilot
LLM-powered security copilot explains findings in plain language, suggests remediation steps, and answers questions about your security posture.
Real-Time Findings Dashboard
Live console with WebSocket-powered alerts, posture score trends, and finding timelines across all connected cloud accounts.
Go CLI for DevSecOps
Native Go CLI for pipeline integration — run posture checks, pull findings, and trigger remediations from CI/CD without leaving the terminal.
From blind spots to autonomous defence
Sentinel AI is designed to be operational within hours, not months — with meaningful detection from day one.
Connect Your Clouds
Authorise AWS, Azure, and GCP accounts in minutes. Sentinel AI ingests CloudTrail, Audit Logs, and activity streams immediately — no agents, no code changes.
AI Builds Your Threat Model
The T-GNN model learns your environment's baseline over hours, not weeks. The graph engine maps identity, resource, and network relationships across accounts.
Detect, Explain & Alert
Anomalies surface as findings with MITRE ATT&CK tags, risk scores, attack graph paths, and SentinelGPT plain-language explanations — no analyst guesswork.
Remediate Autonomously or Manually
Approve autonomous remediation actions or execute them manually via the console or CLI. Every action is logged with before/after state for compliance.
One platform. Three clouds.
Sentinel AI provides native, agentless coverage across all three major cloud platforms with consistent detection logic.
- CloudTrail
- GuardDuty integration
- IAM analysis
- S3 exposure
- EC2 / Lambda
- Audit Logs
- Entra ID
- Resource Manager
- Storage accounts
- AKS workloads
- Cloud Audit Logs
- IAM analysis
- GCS buckets
- Compute Engine
- GKE workloads
Stop reacting. Start predicting.
Traditional SIEM and alerting tools generate noise. Sentinel AI uses graph-based context and AI reasoning to surface only the threats that matter — with the evidence and explanation to act immediately.
- Threat detection in hours, not days
- MITRE ATT&CK-mapped findings out of the box
- Autonomous remediation with full audit trail
- SentinelGPT explains every finding in plain language
- Built for multi-account, multi-cloud environments