Equifax Identity & Fraud, based on technology acquired with Kount, offers fraud management, identity verification and online authentication technology for digital businesses, online merchants and payment service providers. The solution helps businesses approve more orders, uncover new revenue streams, and improve their bottom line while minimizing fraud management cost and losses.
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F5 Distributed Cloud Bot Defense
Score8.6 out of 10
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F5 Distributed Cloud Bot Defense (formerly Shape Defense, acquired January 2020) provides security to protect a website from bots, fake users, and unauthorized transactions, preventing large scale fraud and eroded user experiences. Companies get visibility, detection and mitigation outcomes to reduce fraud and cloud hosting, bandwidth and compute costs, improve user experiences, and optimize their business based on real human traffic.
Well suited for addressing disputes before they become official chargebacks (PreventFlow). We've not yet started using the DisputeFlow to work chargebacks that have already come in. We still use our merchant processor's interface for that. I'd to see more incorporation of RDR into the online interface. Right now, we just receive spreadsheets. In the notifications section, I have set up notifications for chargeback and prevention reports but don't see anything for RDR. As the admin of Midigator, I'd like to have greater control over user management, particularly in setting up new users in our organization. There's nothing in the online interface with this.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
I'd strongly recommend it, but with a few caveats depending on how mature the team is with behavioral based security tools. One of our fintech clients was getting hit with low volume, widely spread login attempts, below our rate limiting thresholds. F5 Distributed Cloud Bot Defense was able to flag abnormal input timings, inconsistent device fingerprinting and high entropy in field population behavior. You can only imagine the wave of downstream account lockouts this saved the client. On the other end we had a client with a real time trading platform using Graphql over websockets. F5 Distributed Cloud Bot Defense wasn't able to tap into that stream natively. we had to reverse engineer a proxy layer to inspect events. It worked but it was clunky and not officially supported
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Quickly helps mitigate the retooling and newer advanced bot attacks
Excellent customer service from our f5 bot Defense team/partners
Easy to do Traffic Analysis/False Positive reviews with their dashboard of data
Our F5 Security/Solutions Architect and TAM is always there for us whenever we need them
First class service by the F5 Distributed Cloud Bot DefenseSOC, the Tactics Team, the F5 Testing person that helps us, the mobile SDK experts, the Client-Side Signals experts and F5 management
Industry best Threat Briefings
Not only is F5 Distributed Cloud Bot Defense great at stopping the advanced bot attacks, they also have protection against any tampering or replay attacks.
When submitting a dispute, it stays pending for a long time - and we didn't get a notification of it closing out, nor a result of what the outcome was.
Going to DisputeFlow, it would be nice to have it automatically sorted with the newest chargeback on the top.
The daily emails in excel could be better formatted and easier to read.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Official support can sometimes take time to reach the right people. However, once you are in contact with the appropriate experts, the support is excellent, as F5 staff are true specialists. On the other hand, we always receive prompt assistance from our local sales team, who typically help us connect with the right people quickly.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Implementation of Distributed Cloud is accomplished a few different ways, it would pay to meet with the F5 team and map out your implementation prior to acquisition to make sure you Infrastructure and Operations teams are aligned to the approach and requirements.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We currently have personnel to care for chargebacks. An administrator to keep track of all chargebacks and even retrieve a couple ones that Midigator misses to let us know about. The administrator also helps by notifying the company ahead of time when chargebacks are potentially coming through or about ones that are already chargebacks before Midigator notifies the company.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Clodflare bot management was our other obvious option for us. We tested it on a staging version of our RFQ platform. It was great for broad traffic filtering but had a hard time with nuanced differences between real subcontractors and low volume bots mimickingt human input whereas that's where F5 Distributed Cloud Bot Defense thrived
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We've been able to use the data to pinpoint specific issues to correct to lower chargebacks.
We have seen an incredible difference in our chargeback rate since using Midigator's service. Our rates were often over 1% but now they are almost always below 0.4%. That is a huge difference!
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
F5 Distributed Cloud Bot Defense has helped our customers identify real human traffic and bot traffic, allowing them to prioritize real traffic to applications and improve cloud service usage.
F5 Distributed Cloud Bot Defense ha ayudado a nuestros clientes a poder identificar cuál es el tráfico real de personas y cual el de Bot para así poder priorizar el tráfico real hacia las aplicaciones mejorando los consumos de servicios en nube.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
