Find out in this report how the two Intrusion Detection and Prevention Software (IDPS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Check Point IPS is an intrusion prevention system that aims to detect and prevent attempts to exploit weaknesses in vulnerable systems or applications. The solution provides complete, integrated, next-generation firewall intrusion prevention capabilities at multi-gigabit speeds with a low false positive rate and high security. It helps organizations secure their enterprise network, and protect servers and critical data against known and unknown automated malware, blended threats, and other threats.
Check Point IPS Features
Check Point IPS has many valuable key features. Some of the most useful ones include:
Check Point IPS Benefits
There are many benefits to implementing Check Point IPS. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Check Point IPS is a solution that stands out when compared to many of its competitors. Some of its major advantages are that it has granularity capabilities for rule creation, quick updates of signatures, and a helpful mechanism that allows users to turn IPS signatures to a different mode automatically.
A System and Network Administrator at Auriga mentions, “The Check Point IPS module allows me granularity in creating rules. I can specify which definition to apply and to which scope or network.” The reviewer also adds, “I can create multiple profiles, which is helpful.”
“The quick updates of the signatures when a new threat is identified are great. For instance, when Microsoft releases patches, we usually see new signatures for those issues that have to be patched in a day. This gives us time to test/deploy the patches while already being protected from the threats. Also, it's very good with reporting. I can generate reports for management automatically based on the threats of the last day/week/whatever is needed,” says a Systems en networks engineer at CB.
Another PeerSpot user, a Network Engineer at VSP Vision Care, writes, “The mechanism where you can let the system automatically turn the IPS signature to a different mode (prevent / monitor / inactive) is a nice feature that allows us to easily adjust the balance between security protection and the risk of business impact.”
Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.
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