This article explains practical ways to validate suspicious user logins and decide whether they are legitimate or need further investigation. Use these steps whenever you see unusual login activity in alerts, monitoring tools, or account security reports.
Overview
Validating a suspicious user login generally involves:
- Gathering key login details so the activity can be investigated.
- Contacting the account owner to confirm whether they performed the login.
- Reviewing monitoring alerts, account history, and notification content.
- Validating activity from automation or AutoLoginName_* accounts.
- Escalating to your security team or incident response process when needed.
Step 1: Gather the key login details
Before validating a suspicious login, collect enough information so you or your security/support team can investigate it effectively. At minimum, gather:
- Username
- User ID
- Account name
- Account ID
- Source IP address involved in the login
- Timestamp (or alert time window) of the login event
If the suspicious login came from an AutoLoginName_* or other automation account, also note that specific username and the time of the activity.
Step 2: Contact the user to confirm the login
The most reliable way to validate a suspicious login is to confirm directly with the account owner.
- If you have a trusted phone number on file, call the user and ask whether they performed the login at the specified time or were working with support.
- If a phone number is not available, email the user at the registered email address on file.
In your message or call, include relevant details such as:
- Username and account name
- Approximate login time or alert window
- Source IP address, if available
- Any context (for example, “we received a suspicious login alert”)
Ask the user to confirm whether they performed the login themselves or were in an active session with support at that time.
If they reply from their registered email address and confirm the activity, treat the login as valid and close the alert or case.
If the user does not recognize the login or states they did not access the account at that time, escalate to your organisation’s security team or follow your incident response process for further investigation.
If the user does not respond immediately, document your outreach attempts and follow up before closing the case.
Step 3: Validate monitoring alerts (for example, Datadog)
When a monitoring tool such as Datadog raises a suspicious login alert, use a structured review:
- Record the alert details, including the user or account identifier, timestamp, and source IP address.
- Contact the referenced user (by phone or registered email) and ask if they logged in at that time.
- If the user confirms they performed the login, mark the alert as a legitimate login attempt and close it.
- If the user does not recognize the login, escalate to security or open an investigation (for example, by reviewing access logs, checking IP geolocation, or examining concurrent sessions according to your response procedures).
Step 4: Request help from support or security
If you need another team to validate a suspicious login, provide enough information for them to act without additional back-and-forth. When opening a ticket or sending an email, include:
- Username and user ID
- Account name and account ID
- Source IP address
- Login timestamp or alert window
Clearly state that you are requesting validation of the login activity. The team will review the details and reply with their findings; if they verify the activity as legitimate, no further action is required.
Step 5: Use email validation when phone contact is not available
If you cannot contact the user by phone, email the address associated with their account to validate the suspicious login. In the email:
- Include the alert details (timestamps, username, IP address, and alert time window).
- Ask whether they performed the activity or were working with support at that time.
- Request a clear confirmation in their reply.
Record your outreach and their response. If they confirm the activity was legitimate (for example, as part of a technical-support session), you can close the alert. If they do not respond, continue to document follow-up attempts and confirm before closing the case.
Step 6: Check account history and activity patterns
When the login comes from an unfamiliar IP address or location, account history can help you decide whether the activity is likely legitimate:
- Review the account creation date.
- Look at recent account activity, such as first logins or initial navigation within the platform.
If the account was created very recently and the user appears to be newly exploring the platform, a login from a different IP address is often consistent with normal behaviour. Use available user records or audit logs to confirm the creation timestamp and whether this is one of the user’s first logins before treating the alert as malicious.
Step 7: Review account changes and notifications
For suspicious login alerts tied to notifications or messages, perform basic checks to rule out obvious compromise:
- Account modification history: Verify that the user account has not been modified unexpectedly, such as unexpected password changes or profile updates.
- Notification content: Confirm that related notifications are normal system messages and do not contain attachments or suspicious links.
If the account shows no recent unauthorised modifications and the notification appears to be a standard system message without attachments or links, you can generally treat the login as legitimate based on these checks.
Step 8: Validate logins from automation or AutoLoginName_* accounts
Suspicious logins may also involve automation or QA accounts with names such as AutoLoginName_*. To validate these:
- Collect identifying details for the login, including username, user ID, account ID, source IP, and timestamp.
- Contact the team or owner responsible for automation/QA accounts (for example, a QA engineer or automation owner) and ask whether the specific AutoLoginName_* account is a known automation or test account and whether the login matches expected behaviour.
If the owner confirms that it is a legitimate automation/QA account and that the activity is expected, treat the login as legitimate and close the alert. If they cannot confirm or say the activity is unexpected, continue your investigation or escalate to security according to your processes.
When to escalate suspicious logins
Escalate a suspicious login to your security team or follow your incident response plan when:
- The user states they did not perform the login.
- The user’s confirmation is unclear or inconclusive.
- Automation or QA owners cannot verify that an AutoLoginName_* or similar account activity is expected.
- Account history or notifications show unexpected changes or behaviour.
In these cases, treat the login as potentially malicious until a security investigation confirms otherwise.