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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Amazon Macie is an entirely managed service focused on data security and privacy that leverages machine learning and pattern recognition to locate and safeguard sensitive information within AWS. As organizations grapple with the increasing amounts of data they generate, the task of identifying and securing sensitive information can become more complex, costly, and labor-intensive. By automating the process of discovering sensitive data at scale, Amazon Macie helps reduce the financial burden associated with data protection. It generates an inventory of Amazon S3 buckets, highlighting unencrypted buckets, those that are publicly accessible, and those shared with AWS accounts outside your designated AWS Organizations. Additionally, Macie utilizes machine learning and pattern matching methods on the selected buckets to pinpoint and notify you about sensitive data, including personally identifiable information (PII), ensuring that your organization remains compliant and secure. Furthermore, by streamlining this process, Macie enables businesses to focus more on their core operations while maintaining robust data security practices.

Description

GTM OS serves as an AI-driven outbound framework specifically tailored for B2B revenue teams, functioning as an AI agent integrated seamlessly with your existing outbound systems that you already invest in. This system enhances your current operations by substituting the layers involved in enrichment, signal processing, intent analysis, workflow management, and total addressable market (TAM) development, all while allowing your CRM and sequencing tools to remain unchanged. Instead of requiring your team to adapt to a new user interface, it operates as an intelligent agent powered by a four-system backend that can be configured through a single YAML file and activated at your discretion, ensuring daily output in the platforms your team already utilizes. By consolidating disparate tools into a unified operational layer, it streamlines functions across TAM, Signal, Enrichment, and Delivery, making processes more efficient. The TAM component constructs and updates the addressable account pool, broadening its scope beyond just the LinkedIn TAM, and evaluates accounts upon intake to ensure they remain current. The Signal module categorizes leads into groups like Expansion, New Sheriff, and Leaky Bucket, in addition to tailored signals that align with your ideal customer profile and are scored by their intensity. Enrichment leverages a Cascade approach with probabilistic routing through over 15 data sources, complemented by an AI fallback to enhance data accuracy and reliability. This innovative system ultimately empowers teams to operate more effectively and make data-driven decisions with confidence.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

6sense No 
AWS App Mesh Yes 
AWS Security Hub Yes 
Amazon Detective Yes 
Apollo No 
Bitcanopy Yes 
Bombora No 
Chronicle SOAR Yes 
Clay No 
Clearbit No 
Demandbase No 
HubSpot CRM No 
Hunter No 
LeadIQ No 
LinkedIn Sales Navigator No 
Make No 
Outreach No 
Salesforce No 
Zapier No 
ZoomInfo No 

Integrations

6sense Yes 
AWS App Mesh No 
AWS Security Hub No 
Amazon Detective No 
Apollo Yes 
Bitcanopy No 
Bombora Yes 
Chronicle SOAR No 
Clay Yes 
Clearbit Yes 
Demandbase Yes 
HubSpot CRM Yes 
Hunter Yes 
LeadIQ Yes 
LinkedIn Sales Navigator Yes 
Make Yes 
Outreach Yes 
Salesforce Yes 
Zapier Yes 
ZoomInfo Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$2,250 per month
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/macie/

Vendor Details

Company Name

GTM OS

Country

United States

Website

gtmos.run/

Product Features

Cybersecurity

AI / Machine Learning Yes 
Behavioral Analytics Yes 
Endpoint Management Yes 
IOC Verification Yes 
Incident Management Yes 
Tokenization No 
Vulnerability Scanning Yes 
Whitelisting / Blacklisting Yes 

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