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Description

As organizations increasingly integrate advanced technology and development methodologies, the growing volume and distribution of data present a remarkably complex challenge for data security. Lacking robust data protection strategies heightens the risk of data leaks, breaches, unauthorized access to confidential information, and heavy fines for failing to comply with data privacy laws. IBM Guardium Data Security Center offers a solution through its Guardium DSPM, which effectively discovers, classifies, and monitors sensitive data in cloud environments and SaaS applications, tackling several critical issues. It allows for the swift, precise, and continuous identification of sensitive data throughout your cloud infrastructure. By employing a cutting-edge AI-driven engine, our solution streamlines the process of discovering and classifying sensitive information, thereby conserving your valuable resources and time. Additionally, the agentless deployment of DSPM ensures immediate discovery initiation, eliminating the need for prior knowledge about data locations or access credentials, thereby simplifying the data protection process. Ultimately, this innovation empowers organizations to enhance their data security posture significantly.

Description

Numerous applications and services hosted in public cloud environments utilize storage solutions like Amazon S3 buckets and Azure Blob storage. As time progresses, these storage solutions may become infected with malware, improperly configured buckets can lead to data breaches, and failure to classify sensitive information can lead to compliance issues and hefty fines. CWP for Storage plays a crucial role by automatically identifying and scanning Amazon S3 buckets and Azure Blobs, ensuring that cloud storage remains both clean and secure. Furthermore, CWP for Storage DLP implements Symantec DLP policy within Amazon S3 to effectively discover and categorize sensitive data. To facilitate remediation and additional actions, AWS Tags can be applied as necessary. Additionally, Cloud Security Posture Management (CSPM) is available for major platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). While containers enhance operational agility, they also introduce a variety of public cloud security challenges and vulnerabilities that can heighten overall risk, necessitating a proactive approach to security management. Organizations must remain vigilant and continually update their security measures to mitigate these evolving threats.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
F5 BIG-IP SSL Orchestrator
Google Cloud Platform
IBM Guardium
Microsoft Azure
Proofpoint Intelligent Classification and Protection
Symantec Web Isolation

Integrations

Amazon S3
F5 BIG-IP SSL Orchestrator
Google Cloud Platform
IBM Guardium
Microsoft Azure
Proofpoint Intelligent Classification and Protection
Symantec Web Isolation

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/guardium-dspm

Vendor Details

Company Name

Broadcom

Founded

1991

Country

United States

Website

www.broadcom.com/products/cyber-security/endpoint/hybrid-cloud/cloud-workload-protection

Product Features

Cloud Workload Protection

Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity

Alternatives

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