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features
design
support

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Description

ARMO guarantees comprehensive security for workloads and data hosted internally. Our innovative technology, currently under patent review, safeguards against breaches and minimizes security-related overhead across all environments, whether they are cloud-native, hybrid, or legacy systems. Each microservice is uniquely protected by ARMO, achieved through the creation of a cryptographic code DNA-based workload identity. This involves a thorough analysis of the distinctive code signature of each application, resulting in a personalized and secure identity for every workload instance. To thwart hacking attempts, we implement and uphold trusted security anchors within the software memory that is protected throughout the entire application execution lifecycle. Our stealth coding technology effectively prevents any reverse engineering of the protective code, ensuring that secrets and encryption keys are fully safeguarded while they are in use. Furthermore, our encryption keys remain concealed and are never exposed, rendering them impervious to theft. Ultimately, ARMO provides robust, individualized security solutions tailored to the specific needs of each workload.

Description

Mitigate lateral movement and prevent data theft by utilizing Avocado's security and visibility solutions that are both agentless and tailored for applications. This innovative approach combines app-native security with runtime policies and pico-segmentation, ensuring both simplicity and robust security at scale. By establishing microscopic perimeters around application subprocesses, threats can be contained at their most minimal definable surfaces. Additionally, by integrating runtime controls directly into these subprocesses, Avocado enables self-learning threat detection and automated remediation, regardless of the programming language or system architecture in use. Furthermore, it automatically shields your data from east-west attacks, functioning without the need for manual intervention and achieving near-zero false positives. Traditional agent-based detection methods, which rely on signatures, memory analysis, and behavioral assessments, fall short when faced with extensive attack surfaces and the persistent nature of lateral threats. Unless there is a fundamental shift in how attacks are detected, zero-day vulnerabilities and misconfiguration issues will persist, posing ongoing risks to organizational security. Ultimately, adopting such an advanced security model is essential for staying ahead of evolving cyber threats.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon EKS
Azure DevOps
Azure Kubernetes Service (AKS)
Azure Pipelines
DigitalOcean
Docker
GitHub
GitLab
Google Cloud Platform
Google Kubernetes Engine (GKE)
Jenkins
Jira
Kubernetes
Kubescape
Microsoft Teams
OCI Observability
OVH Load Balancer
OpenShift Cloud Functions
Red Hat OpenShift
Slack

Integrations

Amazon EKS
Azure DevOps
Azure Kubernetes Service (AKS)
Azure Pipelines
DigitalOcean
Docker
GitHub
GitLab
Google Cloud Platform
Google Kubernetes Engine (GKE)
Jenkins
Jira
Kubernetes
Kubescape
Microsoft Teams
OCI Observability
OVH Load Balancer
OpenShift Cloud Functions
Red Hat OpenShift
Slack

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

ARMO

Founded

2020

Country

Israel

Website

www.armosec.io

Vendor Details

Company Name

Avocado

Country

United States

Website

www.avocadosys.com

Product Features

Cloud Security

Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management

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

Container Security

Access Roles / Permissions
Application Performance Tracking
Centralized Policy Management
Container Stack Scanning
Image Vulnerability Detection
Reporting
Testing
View Container Metadata

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

Vulnerability Scanners

Asset Discovery
Black Box Scanning
Compliance Monitoring
Continuous Monitoring
Defect Tracking
Interactive Scanning
Logging and Reporting
Network Mapping
Perimeter Scanning
Risk Analysis
Threat Intelligence
Web Inspection

Product Features

Application Security

Analytics / Reporting
Open Source Component Monitoring
Source Code Analysis
Third-Party Tools Integration
Training Resources
Vulnerability Detection
Vulnerability Remediation

Vulnerability Management

Asset Discovery
Asset Tagging
Network Scanning
Patch Management
Policy Management
Prioritization
Risk Management
Vulnerability Assessment
Web Scanning

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