Mitiga: Cloud Detection and Response Software
Mitiga helps security teams and SOCs manage cloud breaches by supporting automated investigation and triage. It is designed for organizations that need a long-term forensic data lake for incident response.
At a glance
- Category
- Security
- Best for
- Security Operations Center (SOC) teams, SecOps functions, Companies with significant SaaS and Cloud footprints, Organizations requiring managed incident response
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Cloud Breach Response, SaaS Threat Monitoring, AI Infrastructure Defense, Forensic Data Retention
- Official website
- www.mitiga.io
Mitiga is a Cloud Detection and Response (CDR) platform designed to reduce the impact of security breaches. Rather than relying solely on prevention, the tool identifies active threats across cloud providers, SaaS applications, and identity systems to help teams stop attackers mid-flight.
The platform is built for security operations (SecOps) teams and SOCs. It uses an AI-native approach to unify fragmented signals into a single attack timeline, which may help security analysts reduce manual data gathering during an incident.
Beyond the software, Mitiga provides managed services including 24/7 detection and response and threat hunting. Buyers should note that the tool is designed to complement existing security stacks rather than replace basic posture management tools.
Prospective users should confirm how the platform's agentless monitoring fits into their specific compliance requirements and determine if they require the managed service layer or just the CDR platform.
Key Features
Stores and normalizes forensic data across SaaS, cloud, and identity platforms for over 1,000 days.
An automated SOC assistant designed to triage alerts and suggest severity adjustments to reduce manual work.
Reconstructs logs and signals into a contextual attack timeline to help trace root causes.
Designed to detect AI-powered attacks and support the protection of AI infrastructure from prompt injection and data leaks.
Correlates forensic data to build attack stories, which may reduce the time spent on manual triage.
24/7 monitoring and threat hunting provided as a managed service.
Use Cases
Using the Investigation Workbench to identify the root cause and movement of an attacker across multi-cloud environments.
Monitoring for compromised credentials and lateral movement within SaaS applications.
Supporting the security of AI services by detecting model tampering and unauthorized data leaks.
Maintaining a high-fidelity log of activity for over 1,000 days to support long-term investigations.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It is an AI-native system that unifies security across cloud, SaaS, AI, and identity to detect and mitigate the impact of security breaches.
It is primarily built for security teams, SecOps functions, and SOCs.
Helios AI acts as an automated SOC analyst, helping to triage alerts and accelerate investigations to reduce manual workload.
Source category: Security
Source subcategory: Security Monitoring
