Average Ratings 2 Ratings
Average Ratings 0 Ratings
Description
UnderDefense is an agentic AI SOC and compliance automation platform designed to help security teams investigate threats faster and reduce operational friction. The platform uses swarming AI agents to investigate alerts, correlate data across systems, enrich findings, verify context, and produce clear verdicts within minutes. MAXI is built to eliminate false positives, improve SIEM and EDR efficiency, and help analysts focus on strategic security work instead of repetitive Tier 1 and Tier 2 triage. The platform includes three core layers: MAXI AI SOC for alert investigation, MAXI Compliance for continuous evidence collection and reporting, and expert MDR and incident response for human-backed security operations. It supports use cases such as managed detection and response, managed SOC, managed SIEM and EDR, cloud security monitoring, ransomware protection, incident response automation, penetration testing, and compliance services. MAXI Compliance supports frameworks such as SOC 2, ISO 27001, HIPAA, and PCI DSS with automated evidence collection, questionnaire automation, posture monitoring, and board-ready reporting. UnderDefense integrates with more than 100 tools across cloud, identity, SaaS, endpoint, network, SIEM, EDR, ChatOps, and project management systems. Security teams can escalate through Slack or Teams and assign issues directly in Jira for faster response coordination. By combining AI-driven investigation, compliance automation, transparent reporting, human incident response experts, and broad integrations, UnderDefense MAXI helps organizations modernize SOC operations without losing control of decisions.
Description
Vega is an innovative, AI-native platform for federated security analytics designed to provide security operations teams with comprehensive visibility, detection, investigation, and response capabilities across their security data without the need for expensive data migration or centralized ingestion. Its Security Analytics Mesh (SAM) empowers analysts to effortlessly access and query data regardless of location, including SIEMs, data lakes, cloud services, and cold storage, utilizing natural language or query languages to eliminate blind spots and minimize costs and maintenance while enhancing coverage. The platform offers AI-driven detections, automated triage, and correlation of alerts across various environments, allowing teams to create, deploy, and refine detection rules once and apply them universally. In addition to these benefits, Vega continually optimizes alerts to decrease unnecessary noise, reveals overlooked security vulnerabilities, and seamlessly integrates with existing security ecosystems through a variety of pre-built connectors. With its ability to streamline security operations, Vega stands out as a crucial tool in enhancing organizational security posture.
API Access
Has API
API Access
Has API
Integrations
CrowdStrike Falcon
Wiz
Amazon S3
Amazon Security Lake
Amazon Web Services (AWS)
Azure Blob Storage
Azure Data Explorer
Chronicle
Databricks
Elastic Security
Integrations
CrowdStrike Falcon
Wiz
Amazon S3
Amazon Security Lake
Amazon Web Services (AWS)
Azure Blob Storage
Azure Data Explorer
Chronicle
Databricks
Elastic Security
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
UnderDefense
Founded
2017
Country
United States
Website
underdefense.com
Vendor Details
Company Name
Vega
Founded
2024
Country
United States
Website
vega.io/platform