Average Ratings 0 Ratings
Average Ratings 6 Ratings
Description
Unlock the advantages of generative AI for your business while minimizing associated risks. Ensure safe organizational use of AI through enhanced visibility and effective remediation, all while utilizing your current security framework. Maintain awareness of your AI landscape by obtaining a full inventory of all generative AI applications within your organization. Effectively manage AI-related risks by identifying which applications have the capacity to store and learn from your data, as well as understanding the connections between various data types and language models. With Aim, you can track AI adoption trends over time and gain crucial insights that are vital for business operations. Aim equips organizations to harness public generative AI technology securely, revealing hidden shadow AI tools and their potential risks while implementing real-time data protection strategies. By securing your internal language model deployments, Aim enhances the productivity of AI copilots, addressing misconfigurations, identifying threats, and strengthening trust boundaries for a safer AI environment. This approach fosters a culture of innovation while ensuring that your organization remains protected in an evolving digital landscape.
Description
Leading the market, QRadar SIEM is designed to surpass adversaries through enhanced speed, scalability, and precision. As digital threats escalate and cyber attackers become more advanced, the importance of SOC analysts has reached unprecedented heights. QRadar SIEM empowers security teams to tackle current threats proactively by leveraging sophisticated AI, robust threat intelligence, and access to state-of-the-art resources, maximizing the potential of analysts. Whether you require a cloud-native solution tailored for hybrid environments, or a system that complements your existing on-premises setup, IBM offers a SIEM solution that can cater to your specific needs. Furthermore, harness the capabilities of IBM's enterprise-grade AI, which is crafted to improve the efficiency and knowledge of each security team member. By utilizing QRadar SIEM, analysts can minimize time-consuming manual tasks such as case management and risk assessment, allowing them to concentrate on essential investigations and remediation efforts while enhancing overall security posture.
API Access
Has API
No
API Access
Has API
No
Integrations
Activu
No
AirShield
No
Amazon Bedrock
Yes
Blink
No
CardinalOps
No
Cyble
No
D3 Smart SOAR
No
DNSSense
No
Dropzone AI
No
Junos Traffic Vision
No
Integrations
Activu
Yes
AirShield
Yes
Amazon Bedrock
No
Blink
Yes
CardinalOps
Yes
Cyble
Yes
D3 Smart SOAR
Yes
DNSSense
Yes
Dropzone AI
Yes
Junos Traffic Vision
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
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
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
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)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Aim
Website
www.aim.security/
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/qradar-siem
Product Features
Product Features
Incident Response
Attack Behavior Analytics
No
Automated Remediation
No
Compliance Reporting
No
Forensic Data Retention
No
Incident Alerting
No
Incident Database
No
Incident Logs
No
Incident Reporting
No
Privacy Breach Reporting
No
SIEM Data Ingestion / Correlation
No
SLA Tracking / Management
No
Security Orchestration
No
Threat Intelligence
No
Timeline Analysis
No
Workflow Automation
No
Workflow Management
No
Network Traffic Analysis (NTA)
Anomalous Behavior Detection
No
High Bandwidth Usage Monitoring
No
Historical Behavior Data
No
Identify High Network Traffic Sources
No
Network Transaction Visibility
No
Stream Data to IDR or Data Lake
No
Traffic Decryption
No
SIEM
Application Security
No
Behavioral Analytics
Yes
Compliance Reporting
No
Endpoint Management
Yes
File Integrity Monitoring
No
Forensic Analysis
No
Log Management
No
Network Monitoring
Yes
Real Time Monitoring
Yes
Threat Intelligence
Yes
User Activity Monitoring
Yes
Vulnerability Scanners
Asset Discovery
No
Black Box Scanning
No
Compliance Monitoring
No
Continuous Monitoring
No
Defect Tracking
No
Interactive Scanning
No
Logging and Reporting
No
Network Mapping
No
Perimeter Scanning
No
Risk Analysis
No
Threat Intelligence
No
Web Inspection
No