AI Deep Learning powered threat prevention
to secure enterprises
Check Point Quantum 28600 Next Generation
Firewalls enable enterprises to deploy the
industry’s leading threat prevention capabilities at
all points of their infrastructure, scaling security
according to their changing business needs.
This enables enterprises to prevent and block even
the most advanced attacks before they can disrupt
business — greatly increasing the efficiency of their
security operations.
AI ML powered Threat Prevention
Protect networks and users from zero-days,
phishing, DNS, and ransomware attacks
Hyperscale Network Security
On-demand expansion and resilient access
to mission-critical applications
Unified Management and Ops Efficiency
Increase protection and reduce TCO with a
consolidated security architecture
Industry Recognition
Named a Leader for the 23rd time in the
Gartner® Magic Quadrant™ for Network
Firewalls
Named a Leader in the Forrester Wave™
Enterprise Firewalls Q4 2022
Awarded the Frost & Sullivan Firewall
Company of the Year.
All-inclusive Security Solutions
Check Point 28600 security gateways
include all security technologies in the
SandBlast software package for one
year. Purchase a renewal for NGFW,
NGTP or SandBlast (SNBT) for
subsequent years as you like.
Hyperscale Network Security
With the Maestro Hyperscale solution
you save money by getting the most from
your existing resources and scale up to
meet new demands. Maestro distributes
the load so that each gateway is fully
used.
100 and 25 GbE Connectivity
If you’re ready to move from to 10 to 25
or 100 GbE, so is the 28600 Next
Generation Security Gateway. The 28600
Security Gateway lets you connect your
server uplinks to your core network.
AI Deep Learning Threat Prevention
The speed and sophistication of evasive
zero-day DNS and phishing attacks
requires AI Deep Learning to predict and
block malicious behavior without human
intervention. Quantum firewalls use
Check Point’s threat intelligence cloud
40+ AI/ML engines to block emerging
threats that haven’t been seen before.