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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Autoheal diligently monitors alerts, formulates potential root causes, and suggests corrective measures while operating under human oversight. Additionally, it fully automates the postmortem analysis phase. Central to this process is the Production Context Graph (PCG), which serves as a dynamic and ever-evolving representation that interlinks your infrastructure, application logic, production tools, and accumulated knowledge in real-time. The PCG is created through independent exploration of your observability, cloud, and code framework, and is continually enhanced by a Reinforcement Learning mechanism as you engage with Autoheal. Built upon the PCG is a Multi-Agent Platform consisting of specialized agents that work in tandem with human operators to address production challenges effectively and safely. For AI agents aimed at production engineering to thrive in actual enterprise settings, it is essential to tackle three significant challenges. Firstly, the Context Gap: is the AI capable of navigating the disparate contexts within my organization? Secondly, the Trust Gap: can I have confidence in the AI's strict compliance with my organization's security protocols? Lastly, addressing these gaps is vital to ensuring seamless integration and reliability in complex operational environments.

Description

Uncover innovative solutions designed to revolutionize the way you protect your organization's data across various clouds, devices, and platforms. Navigate data vulnerabilities through effective pseudonymization and robust security measures. Unveil concealed threats with adaptable machine learning models that do not necessitate endpoint agents. Collaborate seamlessly with teams from security, human resources, and legal sectors through integrated investigative processes. Proactively recognize, examine, and swiftly respond to potential insider threats. Perform a thorough assessment of possible insider risks within your organization without needing to set up any insider risk policies beforehand. Instantly generate a policy using customizable machine learning frameworks that eliminate the need for scripting or endpoint deployment. Detect risks related to patient data misuse through built-in indicators and monitors that leverage information from electronic medical record systems. Gain clarity on the context of alerts to streamline your investigative efforts toward the most concerning activities, ensuring a comprehensive approach to data security. This proactive stance not only enhances your risk management strategies but also fortifies trust within your organization.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Azure Marketplace
Microsoft 365 E5 Compliance
Microsoft Purview

Integrations

Azure Marketplace
Microsoft 365 E5 Compliance
Microsoft Purview

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

Autoheal

Founded

2025

Country

United States

Website

autoheal.ai/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

www.microsoft.com/en-us/security/business/risk-management/microsoft-purview-insider-risk-management

Product Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Product Features

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