What is Prophet Security?
Prophet Security is an AI SOC platform featuring an Agentic AI SOC Analyst that autonomously triages, investigates, and responds to alerts. By automating time-intensive investigative tasks, it boosts team efficiency, accelerates threat response, and enables analysts to focus on critical security threats.
Prophet AI connects with SIEMs, Endpoint (EDR) tools, Cloud Service Providers, Email Service Providers, Identity (IDP) tools, threat feeds, data lakes, and other data sources to provide context-rich investigations backed by transparent evidence.
Prophet AI’s agents jump into action once an alert is triggered from various security tools, custom detections or specific events in a customer’s environment and perform the following tasks:
- Plan: Prophet AI deduplicates alerts and dynamically builds an investigation plan, identifying the critical questions an expert analyst would ask to determine if an alert is a true or false positive.
- Investigate: Prophet AI executes the investigation plan autonomously, retrieving relevant data from SIEMs, security data lakes, security tools, object storage, and non log data sources such as Cloud Control Plane, Github, and Jira. It correlates signals across multiple sources, analyzing relationships that analysts would otherwise do manually.
- Respond: Once Prophet AI completes its investigation, it delivers a clear determination (e.g., true or false positive) with all the evidence, ensuring complete explainability & transparency. It assigns an incident severity based on its analysis and provides concrete remediation steps.
- Adapt: Prophet AI learns from every analyst interaction, integrating feedback into future investigations and improving accuracy over time. As a result, the system continuously evolves, becoming more precise, and aligned with the unique context of each organization.
- Insight: Prophet AI provides real-time visibility into key SOC metrics including alert dwell time, mean time to investigate, and mean time to resolve. It also highlights the noisiest, least effective alerts, giving detection teams actionable insights for optimization.
- Threat Hunt: Prophet AI enables analysts to ask security-related questions in natural language to uncover hidden threats.. This allows T1 analysts to perform T3-level work and perform threat hunts faster without requiring knowledge of complex queries or scripting technologies.
According to the vendor, Prophet AI deploys in 60 mins. A customer’s data is never used to train Gen AI models and a single tenant architecture ensures no data co-mingling across customers. Prophet AI can also be deployed on-premises in a customer’s environment.
What makes Prophet AI different?
- Not a black box: Provides visibility into investigation plan and all the underlying evidence for review and feedback.
- Protects an organization's privacy: Sensitive data is not used to train or fine tune LLMs, preventing data leakage.
- Integrates into the IT security environment: Works hand-in-glove with security and collaboration tools and workflows.
Benefits
Lower MTTREnables analysts to respond to alerts faster. | Lower Risk:Displays prioritized list of alerts, enabling analysts to quickly identify and respond to threats. |
Higher Impact:Reduces manual tasks, freeing up analyst time to focus on tasks that matter. | ROI:Enhances the effectiveness of alerts, increasing the effectiveness of existing security tools. |
Categories & Use Cases
Screenshots
Screenshot of a dynamic, real-time view of the most impactful SOC metrics and insights presented through a dashboard. Security operations managers can visualize and report on important metrics such as alert dwell time, mean time to investigate and mean time to resolve. Prophet AI also analyzes the effectiveness of the source and efficacy of alerts, providing insights to detection engineering teams. This provides a transparent overview of the overall impact of Prophet AI while uncovering insights that measure the effectiveness of security tools.
Technical Details
| Deployment Types | SaaS, SaaS |
|---|---|
| Mobile Application | No |
