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features
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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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

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

Integrations

Amazon EKS No 
Argo CD No 
Azure DevOps No 
Azure Kubernetes Service (AKS) No 
Azure Pipelines No 
DigitalOcean No 
Docker No 
GitHub No 
GitLab No 
Google Cloud Platform No 
Jenkins No 
Kubernetes No 
Kubescape No 
Microsoft Teams No 
OCI Observability No 
OVH Load Balancer No 
OpenShift Cloud Functions No 
PagerDuty No 
Red Hat OpenShift No 
Slack No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook 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 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

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 No 
Application Security Yes 
Behavioral Analytics Yes 
Encryption No 
Endpoint Management No 
Incident Management No 
Intrusion Detection System No 
Threat Intelligence No 
Two-Factor Authentication No 
Vulnerability Management Yes 

Cloud Workload Protection

Anomaly Detection Yes 
Asset Discovery Yes 
Cloud Gap Analysis Yes 
Cloud Registry Yes 
Data Loss Prevention (DLP) No 
Data Security No 
Governance No 
Logging & Reporting No 
Machine Learning No 
Security Audit No 
Workload Diversity No 

Container Security

Access Roles / Permissions Yes 
Application Performance Tracking Yes 
Centralized Policy Management Yes 
Container Stack Scanning Yes 
Image Vulnerability Detection Yes 
Reporting Yes 
Testing No 
View Container Metadata Yes 

Cybersecurity

AI / Machine Learning No 
Behavioral Analytics Yes 
Endpoint Management No 
IOC Verification No 
Incident Management No 
Tokenization No 
Vulnerability Scanning Yes 
Whitelisting / Blacklisting No 

Vulnerability Scanners

Asset Discovery Yes 
Black Box Scanning No 
Compliance Monitoring Yes 
Continuous Monitoring Yes 
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 

Product Features

Application Security

Analytics / Reporting No 
Open Source Component Monitoring No 
Source Code Analysis No 
Third-Party Tools Integration No 
Training Resources No 
Vulnerability Detection No 
Vulnerability Remediation No 

Vulnerability Management

Asset Discovery No 
Asset Tagging No 
Network Scanning No 
Patch Management No 
Policy Management No 
Prioritization No 
Risk Management No 
Vulnerability Assessment No 
Web Scanning No 

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