Features

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Cloud Security - Detection & Response

Continuously Monitor and Fix your Cloud and Kubernetes infrastructure with Security detection and response module. Monitor the behaviour of Cloud services and VM, detect threats and anomalies in your cloud infrastructure and automatically respond.

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UEBA

We analyse the behavioural patterns using ML algorithms and identify insider threats in Cloud Identities and Assets.

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Continuous Compliance

Our Compliance engine ensures your cloud assets and data stored in cloud is compliant with PHI, PII, HIPAA, PCI, NIST etc standards.

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Data Privacy and Protection

Our intelligent AI algorithm protects your data stored in cloud like Amazon S3, Azure blob with Sensitive Data Detection, De-Identification, Data Watermarking and Row/Column Access control. Monitors the behaviour of the data shared with your partners and pre-empts data exfiltration threats.

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Alert correlation and Reduction

Real-time alert ingestion and event correlation. Moderate the signal-to-noise ratio using techniques like alert bucketing, Natural Language Processing, Temporal Correlation to analyse only the alerts that matter

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Problem Case Analysis

Alerts and Change events are intelligently filtered and grouped into Cases. DevOps can Pin Point the problem in minutes using the information presented in the Case. Alert and Asset Graph Topology, Metric Anomalies, Causality algorithms using presented visually to help the DevOps understand the problem quickly.

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Probable Root Cause Analysis

Probable Root cause analysis is conducted using combination of AI/ML algorithms involving Alert graphs on Topology, Probabilistic Graph Models, Neural Networks, Temporal and Time Series forecasting.

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Remediation Engine

Pre-built Cloud Automation programs engineered to manually/automatically remediate 100+ Availability and System Reliability use cases. Support for AWS, Kubernetes and GCP.

Plans

Basic

  • All features
  • Analysis of Metrics, Events, Logs on 15 days of data
  • Up to 5 Accounts or 1000 Assets
  • Up to 50 Automations
  • Starts with 1 Hour Polling / Events
  • Support through Public Slack Channel, Public Knowledge Base, FAQs, Best Effort

Professional

  • Everything in Basic plus,
  • Analysis of Metrics, Events, Logs on 60 days of data
  • Up to 20 Accounts or 5000 Assets
  • Up to 200 Automations
  • Starts with 15 min Polling / Events
  • 9 * 5 Business Hours support

Enterprise

  • Everything in Professional plus,
  • Analysis of Metrics, Events, Logs on 180 days of data
  • Unlimited Accounts and Assets
  • Unlimited Automation
  • Starts with 5 min Polling / Events
  • Dedicated Support
  • Advanced Integrations and Customizations

AI under the Hood

Intelligent Root Cause Analysis

How to analyse and detect a Root Cause in Cloud like a DevOps ? Can AI algorithms make this simple and intelligent ?

Time Series Outliers

Detecting outliers in metrics time series plays an important role in preventing our applications from failures. Let us see how to use time series forecasting model with seasonality component to handle this problem

UEBA analysis

How to use Machine learning to analyse the behaviour patterns, detect anomalies and indicate potential threats using User and Entity Behaviour analysis?