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Full-Stack Cloud Security:
Holistic risk assessment & prioritization using data context

AI, large-scale analyses and automation for efficient detection, investigation and remediation of multi-dimensional threats throughout data life cycle

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Overview
Capablities

CAPABILITIES

Natural language 

To get insights into issues and threats unique to your environment, simply ask in your own way. No more SQL queries or custom data joins!

Our AI-powered capability understands your intent to generate on-demand insights and visual graphs based on enriched information and context gathered from your cloud environment for complex scenarios based on context from various sources

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Security graphs

Holistically detect and visually inspect multi-hop connections and misconfigurations that create risks to data (static and run-time) from human and non-human entities, excess privileges, leaked credentials, infrastructure, network access, vulnerabilities and application access.

Generate intuitive, contextually enriched graphs using AI and without manual data aggregation to gain deep visibility into complex attack paths and threats unique to your cloud

Data classification 

Protecting your data first requires understanding your data by classifying and cataloging it. This is critical for business processes such as discovery, disclosure, regulatory compliance, and privacy.

In addition to a library of built-in classifiers, create your own custom classifiers. Use search for deep, contextual observability through data lifecycle.

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Application access graph

Automated run-time observability for application and infrastructure access to data sources. Detect, investigate and fix risks due to malicious access, anomalous belateral movement and risky combinations of misconfigurations.

You can also get custom insights for application and workload access to data using our policy framework

Prioritization engine

For all insights, issues and alerts, get risk context automatically across multiple dimensions for a holistic 360° view of threats to data. Risk context includes several layers of information related to excess privileges, run-time activity, data lifecycle and exploitability that puts sensitive data at risk.

We generate and use risk and data context to suppress false positives and to automatically prioritize issues for response and remediation.

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Integrations

Seamlessly integrate your existing technologies using our broad set of integrations. We use such integrations to build a databases of existing entities, to perform automated analyses, and to help you automate workflows for response and remediation.

Our integrations includes multiple public clouds, data clouds, data lakes, identity providers, code repositories, SIEM, ticketing, and notifications.

Solution Brief
Download solution brief to learn more about our product capabilities 
Want to learn more about how Ariksa can secure your data and simplify cloud security?
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