Learn more about Edgewise Zero Trust Auto-Segmentation: REQUEST A DEMO TODAY!
search this site
 
 

Why Edgewise

FLAT NETWORKS ALLOW ATTACKERS TO MOVE LATERALLY AND COMPROMISE VULNERABLE TARGETS

Flat networks allow attackers to move laterally and compromise vulnerable targets.

Different threats and causes, but common recommendation from experts: improve segmentation.

THREAT
(Example target)
NATION STATE
(Gov. agency)
APT
(Card processor)
RANSOMWARE
(Logistics firm)
MIS-CONFIG
(Data backup co.)
INSIDER THREAT
(Healthcare co.)

CAUSES

Unauthorized access, lateral movement
Unpatched vulns, lateral movement
Petya, unpatched, unsecured networks
Free access to cloud server
Overly permissive access

IMPACT

PII of 21.5M federal employees breached
PII of 146M customers breached
$300M loss, 29k systems impacted
Customer data exposed
18,000 medical records exposed

EXPERTS RECOMMEND

US-HCOGR →
"ZERO TRUST MODEL"
Mandiant →
"ENHANCE NETWORK SEGMENTATION"
US CERT →
"... LEAST PRIVILEGE"
OWASP →
"SEGMENTED APPLICATIONS"
Security Metrics →
"NETWORK SEGMENTATION"

Identity-based segmentation is a core, foundational control to protect cloud workloads.


GARTNER CLOUD WORKLOAD PROTECTION REPORT 2020

why-edgewise-infographic@3x

However, when traditional controls are used for segmentation, the operational complexity far outweighs any security benefit.

Time complexity cost vs. security benefit

Edgewise makes microsegmentation impossibly simple, accomplished with one click! Building segments and policies are automated by machine learning. Policies automatically update when applications are upgraded, new apps are added or if the environment auto scales. No changes to your network are required with Edgewise's software-based segmentation.

Impossibly simple with one click

Edgewise uses a zero trust model to deliver stronger protection for applications and data. Edgewise verifies the identity of software and devices before allowing any communication. Identity-based policies provide more coverage with fewer policies vs traditional address-based controls. Our patented machine learning technology automates the entire process of microsegmentation from initial deployment to ongoing operations.

locked icon

Zero Trust Identity Policies

Builds identity-based segmentation policies automatically

ZERO TRUST IDENTITY™

Cryptographic identity of software and devices

Machine Learning Recommendation Engine

Authorizes communications by verifying software identity

Zero Trust Auto-segmentation from Edgewise enables your business applications to run smoothly and securely across any environment.

Microsegmentation

Microsegmentation

prevents pivots between application segments
Multi-cloud security

Multi-cloud security

simplifies management with unified control
Container security

Container security

delivers real-time elastic application protection
Application security

Application security

stops attackers with precision access control
Infrastructure protection

Infrastructure protection

isolates critical services without airgap hassle
Desktop protection

Desktop protection

stops spread of known and unknown malware

Edgewise Zero Trust Auto-Segmentation delivers measurable value to customers by simplifying operations and strengthening security.

Trusted by

Edgewise Zero Trust Segmentation advantage over legacy controls