Cyberhaven

Enable safe AI adoption without blocking teams.

AI security· 4.5·0 saves·Freemium

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AI security
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Freemium
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About Cyberhaven

Cyberhaven is a tool designed to enable secure adoption of AI across organizations. It provides visibility into the AI tools in use within an organization, helps understand data exposure risks, and aids in accelerating digital transformation. The tool seeks to address the challenge of 'Shadow AI' defined as the unsanctioned use of AI tools by team members by providing visibility into AI usage and enforcing risk-based controls.Often, security teams lack insight into the increasing array of AI tools employees use, which exacerbates data security risks. Traditional Data Loss Prevention (DLP) tools fail to adequately address the growing issue of sensitive data leaking through AI tools. Cyberhaven continuously monitors generative AI tools, tracking employee usage and data flows. It then assesses the risk profile of each AI tool and enforces policies on data movement, particularly for shadow AI or unsanctioned AI tools. It can detect and catalog both new and previously used tools across the organization.Additionally, Cyberhaven can prevent data leakage in AI interactions by controlling data flowing to and from AI tools, thus enforcing risk-based controls on data egress and ingress. It allows the responsible use of AI tools by aligning them with organizational policies and acceptable risk levels.Lastly, Cyberhaven allows organizations to see the most active AI users, understand adoption patterns, and use these insights to educate employees for productive, organization-wide AI adoption. It provides features for AI discovery, usage insights, risk scoring, data flow control, and revealing the lineage of data flows. Supported featuresCybersecurity

Pros

  • Enforces risk-based data controls
  • Reveals data flow lineage
  • Mitigates data exposure risks
  • Supports digital transformation
  • Offers usage insights
  • Provides detailed risk scoring
  • Risk-based controls on data movement

Cons

  • Doesn't support real-time detection
  • No risk prediction capability
  • No multi-language support
  • Limited data-flow control configurations
  • Weak policy enforcement mechanisms
  • Absence of customizable reporting
  • Lacks user-friendly interface
  • Lacks proactive data leakage prevention

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