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Trawl AI

by Trawl AI · Since 2021
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ActiveAvailable globallyCloud
Quick facts
VendorTrawl AI
Year launched2021
StatusActive
LocationHeadquarters Raleigh, North Carolina US
Countries servedGlobal
Languages1
Integrations1+
Free tierN/A
Free trialYES
Contact salesYES

About Trawl AI

Trawl AI is an AI-driven software platform from Trawl AI that focuses on data analysis and management. It provides features such as real-time data monitoring, predictive analytics, and automated reporting so users can make informed decisions quickly. This platform is designed to assist organizations in extracting valuable insights from their data while minimizing manual workload. Trawl AI also supports integration with various data sources, ensuring users have a comprehensive view of their data landscape. Key capabilities: real-time data monitoring predictive analytics automated reporting data integration user-friendly interface Best for: data analysts and business intelligence teams that need to analyze large datasets effectively.

Trawl AI is a cutting-edge cybersecurity software platform purpose-built to safeguard cloud environments from both internal and external threats. Its foundation rests on artificial intelligence and machine learning, which it uses to detect anomalies in real time—an approach that significantly shortens breach identification and response timelines. This makes the software highly effective in protecting popular cloud services such as Microsoft 365, as well as cloud infrastructure platforms like AWS and Azure. Trawl AI’s proactive defense mechanisms continuously monitor network traffic and analyze user behavior to flag potential threats before they escalate, offering a level of foresight that traditional security tools often lack. The platform’s interface is another standout element. Designed with cybersecurity professionals in mind, it features a clean, minimalist layout that prioritizes functionality over flashy dashboards. Users can easily navigate between key sections such as threat detection, incident response, and analytics, all of which are clearly labeled for quick access. This intuitive design not only simplifies complex security tasks but also enhances situational awareness by providing actionable insights upfront.

Pros & Cons

Pros
  • 1. TrawlAI significantly reduces the time to detect security breaches in cloud services to mere minutes.
  • 2. The platform provides organized data and collaboration features that improve cybersecurity service delivery for managed service providers.
  • 3. TrawlAI detects unusual account activity, helping to prevent the loss of sensitive information and ransomware attacks.
  • 4. It protects against both external attacks, like phishing, and internal threats by modeling user and tenant behavior.
Cons
  • 1. Lack of detailed reporting and analytics capabilities

Features

Key features

1. Early Threat Detection

TrawlAI focuses on discovering compromised accounts before significant data loss or destruction occurs.

2. Cloud Security for Microsoft 365

It provides specific protection for Microsoft's cloud suite, including Email, Teams, and SharePoint.

3. Anomaly Analysis

The software uses machine learning to model user and tenant behavior and identify unusual activity that might indicate an attack.

4. Rapid Breach Detection

TrawlAI significantly reduces the time to detect breaches from months to mere minutes.

5. Protection Against Account Takeover

It specifically targets the most common cyber-attack vector in Microsoft 365, which involves phishing emails and stolen credentials.

6. Insider Threat Detection

TrawlAI goes beyond traditional SIEM by using behavioral models to identify and alert on malicious activities originating from within the organization.

Additional features

1. Cloud Security for Microsoft 365

Protects Microsoft 365 products like Email, Teams, and SharePoint from threats.

2. Cloud Security for Microsoft Azure

Extends protection to compute workloads running on Microsoft Azure.

3. Cloud Security for Amazon AWS

Offers security intelligence for businesses using Amazon AWS for their infrastructure.

4. Cloud Security for Google Workspace

(Mentioned under Platform) Aims to protect applications within Google Workspace.

5. Cloud Security for Google GCP

(Mentioned under Platform) Intends to secure resources on Google Cloud Platform.

6. Collect Data

Continuously gathers resource, graph, and log data from cloud services.

7. Create Custom Data Points

Generates unique data points for each tenant and user.

8. Analyze Data

Examines data from cloud providers and proprietary markers to identify anomalous activity.

9. Detect Anomalous Activity

Identifies deviations from normal behavior patterns.

10. Notify Users

Sends alerts when suspicious activity aligns with attack or account takeover patterns.

11. Reduce Detection Time

Decreases the time taken to discover exploits in Microsoft 365 from months to minutes.

12. Detect Unauthorized Access

Identifies when accounts and services have been exploited.

13. Protection for Cloud Infrastructure

Monitors metadata from Azure and AWS to identify compromised accounts.

14. Detect Active Attacks

Identifies ongoing attacks against cloud assets.

15. Account Takeover Detection

Uses machine learning to model user and tenant behavior to find unauthorized account access.

16. Insider Threat Detection

Identifies security risks originating from within an organization by analyzing behavioral patterns.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
1
Interface languages
13
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇦🇺AUD🇨🇦CAD🇯🇵JPY🇨🇭CHF🇨🇳CNY🇷🇺RUB🇮🇳INR🇧🇷BRL🇭🇰HKD🇸🇬SGD

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