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error i7d: System.Data.SqlClient.SqlException (0x80131904): Conversion failed when converting the nvarchar value 'CLAM-AV' to data type int. at System.Data.SqlClient.SqlConnection.OnError(SqlException exception, Boolean breakConnection, Action`1 wrapCloseInAction) at System.Data.SqlClient.SqlInternalConnection.OnError(SqlException exception, Boolean breakConnection, Action`1 wrapCloseInAction) at System.Data.SqlClient.TdsParser.ThrowExceptionAndWarning(TdsParserStateObject stateObj, Boolean callerHasConnectionLock, Boolean asyncClose) at System.Data.SqlClient.TdsParser.TryRun(RunBehavior runBehavior, SqlCommand cmdHandler, SqlDataReader dataStream, BulkCopySimpleResultSet bulkCopyHandler, TdsParserStateObject stateObj, Boolean& dataReady) at System.Data.SqlClient.SqlDataReader.TryHasMoreRows(Boolean& moreRows) at System.Data.SqlClient.SqlDataReader.TryReadInternal(Boolean setTimeout, Boolean& more) at System.Data.SqlClient.SqlDataReader.Read() at System.Data.SqlClient.SqlCommand.CompleteExecuteScalar(SqlDataReader ds, Boolean returnSqlValue) at System.Data.SqlClient.SqlCommand.ExecuteScalar() at DAL.GetEssaySubject(String id) in e:\hostingspaces\ronens\crakomili.net\wwwroot\App_Code\DAL.cs:line 1009 ClientConnectionId:ad465c7c-665f-4243-81f8-d738a577cfc5 Error Number:245,State:1,Class:16


error i7x: System.Data.SqlClient.SqlException (0x80131904): Conversion failed when converting the nvarchar value 'CLAM-AV' to data type int. at System.Data.SqlClient.SqlConnection.OnError(SqlException exception, Boolean breakConnection, Action`1 wrapCloseInAction) at System.Data.SqlClient.SqlInternalConnection.OnError(SqlException exception, Boolean breakConnection, Action`1 wrapCloseInAction) at System.Data.SqlClient.TdsParser.ThrowExceptionAndWarning(TdsParserStateObject stateObj, Boolean callerHasConnectionLock, Boolean asyncClose) at System.Data.SqlClient.TdsParser.TryRun(RunBehavior runBehavior, SqlCommand cmdHandler, SqlDataReader dataStream, BulkCopySimpleResultSet bulkCopyHandler, TdsParserStateObject stateObj, Boolean& dataReady) at System.Data.SqlClient.SqlDataReader.TryHasMoreRows(Boolean& moreRows) at System.Data.SqlClient.SqlDataReader.TryReadInternal(Boolean setTimeout, Boolean& more) at System.Data.SqlClient.SqlDataReader.Read() at System.Data.SqlClient.SqlCommand.CompleteExecuteScalar(SqlDataReader ds, Boolean returnSqlValue) at System.Data.SqlClient.SqlCommand.ExecuteScalar() at DAL.GetEssay(String id) in e:\hostingspaces\ronens\crakomili.net\wwwroot\App_Code\DAL.cs:line 1033 ClientConnectionId:ad465c7c-665f-4243-81f8-d738a577cfc5 Error Number:245,State:1,Class:16


Edilma tatamiA said:
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Hi Jonathan,Thank you for your note. I cannot idefitny the competitor (or the customer) sorry.You asked two questions that I can address: What is the cost of false positives and, in reverse, shouldn't we be more concerned about false negatives?In an


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organization with hundreds of thousands of employees sending dozens (if not more) messages out every day, there are real costs related to false positives. The primary cost is in the area of compliance review and enforcement. The bank we are working with has a lot of 9-digit numbers going out in email so many, in fact, that currently, unless there are 50 or more numbers that appear to be US Social Security Numbers, they just ignore the message, when they turn that number down to (for example) 5, they get flooded with false positives and the Compliance Team cannot address all the possible violations and, because so many of the possible violations are innocent, the compliance team quickly begins to ignore the issue and real violations go undiscovered. Sendmail's compliance/DLP component uses a mixture of text matching and business logic to reduce false positives. For example, the number 123456789 would be caught by a text match as being a 9-digit number, and some DLP vendors would flag it. However, by using some simple checks, we can determine that this number is not a valid SSN (it has never been issued by the Social Security Administration) and ignore it. However, a number in the form: SSN: xxx-xx-xxxx has a couple of secondary attributes (the SSN: and the two dashes) that, if identified, let us be more confident that it is a real SSN. By using a proprietary scoring system, and fairly complex rules that help us idefitny primary and secondary attributes, we are able to virtually eliminate false positives. Also, although this was a simple example, please note that we can do this same thing via custom policies to idefitny almost any type of information that might be contained in an email message. Mailstream Manger is very flexible.False negatives are also, as you point out, a real issue. However, primarily because of the good work done in support of anti-spam engines over the last several years, it is very difficult to miss content in an email message that you are actively looking for. In lab testing we have a false positive rate, with our tuned policies going against known content, of zero. The key, of course, is knowing what you are looking for, and knowing how to describe it within capabilities of the policy engine which is the provenance of our policy guru, Daniel Hedrick.I hope this addressed your questions.All the best,Bobp.s. Sendmail received the Purchase Order for this project from the bank yesterday.
8/7/2015

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