Protect and Stop Unwanted Emails Reaching Your Computer
A spam filter software is used to filter and isolate the unwanted emails entering into your inbox. You can choose both inbound and outbound spam filters based on your level of protection to reduce various phishing attacks and malware threats. And these filter works on various protocols to detect whether the message sent or received is spam or not.
Zoikmail's Spam filtering service offers email filter that abruptly identifies spam, malware and viruses entering into your mail accounts at very first detection. Once deployed, you can get an artificially intelligent spam filter that monitors and manages your emails identifying the type of email and conversations present in the mailbox, thus protecting the inbox from unwanted, spam and phishing emails and also from un-opted promotional newsletters by IP and domain blocking/whitelisting with the help of intelligence from millions of monitored accounts around the globe and a domains mailing characteristics based on local intelligence and also according to your requirements. All the backend process is streamlined and is carried out on our state of the art modern servers in our data processing facilities. We never read/store/process the matter contained in the email for the sake of confidentiality.
Protection From List Washing Spammers
Our spam filter acts as an additional shield below Gmail's native spam filters. Our spam protection system filters almost 95% all annoying marketing, phishing, malicious & deceptive emails containing mailware & viruses, sent using suspicious domains without users's permissions. Our Spam filter majorly focus on Spammers Who uses list washing technique and then are able to bypass Google's native spam filter.
In the language of spam, list washing is the process of removing an e-mail address from a mailing list when the recipient either requests removal or complains to the sender's ISP (Internet service provider) that he is being spammed.
As per Spamhaus "Listwashing is the systematic removal of complainants from an illicitly gathered address list with no other action taken to stop spamming the remainder of the list. Listwashing removes spam symptoms without curing the underlying problem. ISPs which simply pass abuse reports on to their spamming customers without investigation or further consequences are aiding in listwashing and spamming."
"Listwashing is often done in conjunction with snowshoe spamming and waterfalling to attempt to clean bad lists and improve deliverability, rather than simply using OPT IN address acquisition in the first place. Listwashers nearly always include per-recipient codes in the headers and payload URLs, but so do many legitimate bulk mailers. Together with careful list segmentation, dirty lists can be washed to a clean enough state that some ESPs are willing to risk sending spam by importing those lists."
In the view of spammers, and some ISPs, list washing yields a "clean" list of e-mail recipients who don't object to receiving unsolicited e-mail. As gmail native spam filter is community driven and learned from people reporting spam to gmail using report abuse Button. When there are almost negligible users present in an email list who don't press spam button on Gmail Web interface or block sender button on gmail mobile app. Then users of these lists gets Spam Emails straight in their Inbox. We as mailbox provider have developed our own Artificial Intelligence & Machine Learning based spam filters which Protects users mailbox from Spam. Our spam filter keeps checking users incoming emails in a certain interval of time whether our spam filters detects any emails which is similar to spam, Then it automatically put this email in Spam folder of Users Mailbox. We never delete, compose, manually read emails or change users mailbox settings or send emails from users behalf in any manner except what we have described above. Although just to get optimize, test or learn from user behavior we might sent some emails of latest news and Current affairs to certain numbers of users, just to avoid users time to read those emails, we auto mark certain emails as read.
The problem of spam and how Zoikmail solves it
We all receive a ton of unsolicited emails. While some of it may be of value, the majority is either annoying or is linked to some form of scam. Most of the annoying spam is sent by bulk spammers. They know that only a very small fraction of the all the email they send will result in a response, but that’s okay because they can literally send millions of emails for free.
Whether bulk spammers are trying to sell something, or lure people into a scam, their business model is dependent on their ability to send millions of email messages at no cost to themselves. If they had to pay just one cent to send each mail, their business model would no longer be viable.
There’s another side to unsolicited mail. In some cases, someone may have a have a proposal that they genuinely believe you may be interested in. If they are prepared to pay to send you an email, they are sending a signal to say they respect your time, but they also believe you will be interested in their message.
This makes it possible for people with a genuine proposal to reach people they would never otherwise be able to. If you send an email to someone influential like an HR manager at a large corporation, or a partner at a venture capital firm, chances are it will end up in their spam folder with thousands of similar messages.
Why Effective Spam Filtering is so Important
There is a significant difference between spam filtering and effective spam filtering. According to the latest industry statistics, 269 billion emails are sent every day and nearly half of these are spam – unwanted and unsafe emails that can harbor malware and ransomware, or attempt to obtain sensitive information such as usernames and passwords (phishing emails).
Standard gmail's email filters detect approximately 97% – 99% of spam emails depending on the “acceptable spam thresholds” applied by system administrators. Those identified as spam are either rejected, quarantined, or flagged to the end user as spam. The remaining 1% to 3% of spam emails are delivered to end users´ mailboxes. This is why concerned people use third party spam filtering service as and extended layer of protection over the existing infrastructure.
How Antispam Solutions Achieve Effective Filtering
The reason why such a high percentage of spam emails avoid detection by standard email filters is because spammers are continuously devising new ways to penetrate email security mechanisms. Due to the increasing sophistication of spam, antispam solutions have a dynamic approach to email filtering that incorporates the most effective filtering techniques. These include:
Domain Name Server Blackhole Lists (DNSBLs)
Compare the IP addresses of inbound emails against those of known and suspected sources of spam, and reject, quarantine, or flag any that originate from an IP address with a poor reputation.
Sender Policy Frameworks
Prevent the delivery of “spoofed emails” by checking the domain names in the senders´ addresses to ensure they are legitimate. This is an excellent filtering technique to reduce phishing emails.
Content Analysis Tools
Analyze the headings and content of each inbound email and allocate a “spam score”. They also “learn” from end users´ actions the likelihood of an email being spam, often using “Bayesian Analysis” techniques.
Recipient Verification Protocols
Compare the recipient addresses of inbound emails to ensure they match a valid mailbox (i.e. firstname.lastname@example.org, email@example.com, etc.). Those that do not match a valid mailbox are rejected or quarantined.
URIBL and SURBL
Filters identify malicious URLs and links to websites known to be harboring malware or that have been constructed to execute a phishing attack. This technique blocks threats by their domain name rather than their IP address.
Controls perform a number of tests to authenticate the source of emails. These tests can include checking the originating email´s MX record, confirming qualified MAIL FROM commands, and looking for digital signatures (a good way of reducing “false positives”).
Some – but not all – antispam solutions also have the option of activating the Greylisting process. This is a filtering technique which returns every email to its originating server with a request for the emails to be resent. Spammers´ mail servers often ignore the request, as they are too busy sending spam to reply, and the spam email is never returned. This technique is the most effective way to prevent spam from IP addresses and domain names that are “not yet known” to DNSBL, URIBL and SURBL filters.
The Benefits of Cloud Based Spam Filtering
Although hardware and software-based email filters still exist, cloud based spam filtering is the natural progression to these high maintenance filtering solutions. It is much simpler and more cost-effective for organizations to connect their mail servers to a cloud based anti spam service than it is to install hardware or software-based solutions, maintain and update them.
Furthermore, as the filtering process is performed in the cloud, the demand for CPU resources occurs in the service provider´s data center rather than in the business´s infrastructure. This means that more filtering techniques can be incorporated into the cloud spam filter, resulting in more effective filtering without negatively affecting network performance.
Cloud based spam filtering is compatible with all operating systems and infinitely scalable. This allows businesses to adjust their contracts with service providers as the size of the business expands or contracts and prevents them from being locked into contracts that are either insufficient for their needs or that provide protection for more mailboxes than is necessary.
Your Invitation to Try Our Cloud Spam Filter for Free
Not all cloud based spam filtering is the same. Some will include different mechanisms for effective filtering. Others may have different features than Zoikmail´s cloud based anti spam service. However, we believe we have found a balance between effective filtering and ease of use at a price that makes Zoikmail's Spam Filter Cloud the most cost-effective way of increasing productivity and reducing exposure to risk.
If you would like to put our claim to the test, we invite you to take a free trial of Zoikmail's Spam Filtering Cloud in order to evaluate our cloud based anti spam service in your own environment. Starting your free trial takes minutes. Simply click on the “Start Free Trial” button above, enter your gmail email address, and we will take care of the rest.
No, Your Passwords are never stored with us neither we ask for your password. Our Application uses Gmail API to get a temporary and limited access to users account with users permission till user do not revoke access from their Gmail account.
No,We never do that and will never do. We respect users privacy at fullest. We just analyze email's headers and keep those emails headers aggregated in our system for 24-48 hrs of Daily Machine Learning of our Spam Filters, to provide you best possible solution in spam protection.
We always try to keep our intelligence as correct as possible but there is no systems which is 100% accurate. An Email from a particular sender could be a legitimate to user A and might be Spam to User B. We always try to keep users behavior attached with our machine learning Artificial Intelligence algorithms to avoid any false positive. If Users feels that some emails are incorrectly sent to spam folder from Inbox by our spam filter then users are advised to correct those emails and put them back to Inbox. Our user specific spam filter will learn from this behavior and will always place next onwards emails to correct folder destination.
We may get information about how and when you use the Services, store it in log files associated with your account, and link it to other information we collect about you. This information may include, for example, your IP address, time, date, browser used, and actions you’ve taken within the application.
When you use Zoikmail, we may store “cookies,” “tags,” or “scripts,” which are strings of code, on your computer. We and our analytics Service Providers (like Google) use those cookies to collect information about your visit and your use of our Website or Services. You may turn off cookies that have been placed on your computer by following the instructions on your browser, but if you block cookies, it may be more difficult (and maybe even impossible) to use some aspects of the Services.
When we send emails to Members, we may track behavior such as who opened the emails and who clicked the links. We do that to measure the performance of our email marketing campaigns and to improve our features for specific segments of Members. To do this, we include single pixel gifs, also called web beacons, in emails we send. Web beacons allow us to collect information about when you open the email, your IP address, your browser or email client type, and other similar details. We also include Web Beacons in the emails we deliver for you. We use the data from those Web Beacons to create the reports about how your email marketing campaigns performed and what actions your Subscribers took. Reports are also available to us when we send email to you, so we may collect and review that information.
We may get more information about you or your Subscribers, like name, age, and use of social media websites, by searching the internet or querying third parties (we’ll refer to that information as Supplemental Information). We use Supplemental Information to develop features like Social Profiles, a tool that helps you learn about your Subscribers and send them more relevant content.
When you use our mobile apps, we may collect information about the type of device and operating system you use. We may ask you if you want to receive push notifications about activity in your account. If you opt in to these notifications and no longer want to receive them, you may turn them off through your operating system. We don’t access or track any location-based information from your mobile device unless you’ve given us permission. We may use mobile analytics software like google analytics to help us better understand how people use our application. We may collect information about how often you use the application and other performance data. We don’t collect or link that data with any personally identifiable information.