Install forefront client security agent

However, the version number of the definitions has been incremented to match the version in the title of the update package. For more information, click the following article number to view the article in the Microsoft Knowledge Base:. However, the version number has been incremented to match the version in the title of the update package. The Microsoft Operations Manager agent installation has not changed from the deployment package release.

This file installs the Microsoft Forefront Client Security anti-malware client. The changes and binary versions of this anti-malware client installation are described in the following Microsoft Knowledge Base article:. Each localized Forefront Client Security FCS deployment package contains a corresponding localized version of this update. If hotfix is applied in the installation of this update package, a restart is required.

WSUS uses detection logic to determine which computers can receive this update. The following conditions must be met to receive this update:. Supported operating system The computer must be running an FCS supported operating system. A list of supported operating systems can be found on the FCS system requirements page at the following TechNet website:. This policy contains certain registry values that are used to determine package applicability.

The Firewall service handles the request, forwarding it to the appropriate destination, as permitted. Forefront TMG Client settings sections contain entries that are defined by a key and a value to which the key is set. The Name property of a settings section specifies the client application to which its entries apply. Note that whenever these settings are updated, the settings for Web browsers are applied to Internet Explorer.

Additional local settings that apply to all users are stored in the Application. The Common. Additional user-specific local settings are stored in the Application.

The settings for a specific user take precedence over the settings for all users, and the local settings take precedence over the settings supplied by the Forefront TMG server. Note that the Mspclnt. For example:. Whether you run an agent as a service or interactively, you can choose which computer account you use to run the agent.

Note that this is different from the credentials that you use when you register the agent with Azure Pipelines or Azure DevOps Server. The choice of agent account depends solely on the needs of the tasks running in your build and deployment jobs. For example, to run tasks that use Windows authentication to access an external service, you must run the agent using an account that has access to that service. However, if you are running UI tests such as Selenium or Coded UI tests that require a browser, the browser is launched in the context of the agent account.

These accounts have restricted permissions and their passwords don't expire, meaning the agent requires less management over time. We update the agent software every few weeks in Azure Pipelines. For instance, if the agent version is 2.

Microsoft-hosted agents are always kept up-to-date. If the newer version of the agent is only different in minor version, self-hosted agents can usually be updated automatically configure this setting in Agent pools , select your agent, Settings - the default is enabled by Azure Pipelines.

An upgrade is requested when a platform feature or one of the tasks used in the pipeline requires a newer version of the agent. If you run a self-hosted agent interactively, or if there is a newer major version of the agent available, then you may have to manually upgrade the agents.

You can do this easily from the Agent pools tab under your organization. Your pipelines won't run until they can target a compatible agent. You can also update agents individually by choosing Update agent from the An update request is queued for each agent in the pool, that runs when any currently running jobs complete.

Upgrading typically only takes a few moments - long enough to download the latest version of the agent software approximately MB , unzip it, and restart the agent with the new version.

You can monitor the status of your agents on the Agents tab. When your Azure DevOps Server or TFS server has a newer version of the agent, and that newer agent is only different in minor version, it can usually be automatically upgraded. Starting with Azure DevOps Server , you don't have to wait for a new server release. You can upload a new version of the agent to your application tier , and that version will be offered as an upgrade.

If you run the agent interactively, or if there is a newer major version of the agent available, then you may have to manually upgrade the agents. You can do this easily from the Agent pools tab under your project collection. You can view the version of an agent by navigating to Agent pools and selecting the Capabilities tab for the desired agent, as described in Configure agent capabilities. To trigger agent update programmatically you can use Agent update API as described in section How can I trigger agent updates programmatically for specific agent pool?

Look for the Agent. Version capability. You can check this value against the latest published agent version. See Azure Pipelines Agent and check the page for the highest version number listed. Each agent automatically updates itself when it runs a task that requires a newer version of the agent. If you want to manually update some agents, right-click the pool, and select Update all agents. Beginning with Azure DevOps Server , you can configure your server to look for the agent package files on a local disk.

This configuration will override the default version that came with the server at the time of its release. This scenario also applies when the server doesn't have access to the internet. From a computer with Internet access, download the latest version of the agent package files in. You're all set! Your Azure DevOps Server will now use the local files whenever the agents are updated.

But if you want to manually update some agents, right-click the pool, and then choose Update all agents. If you use a self-hosted agent, you can run incremental builds.

For example, if you define a pipeline that does not clean the repo and does not perform a clean build, your builds will typically run faster. When you use a Microsoft-hosted agent, you don't get these benefits because the agent is destroyed after the build or release pipeline is completed. A Microsoft-hosted agent can take longer to start your build. While it often takes just a few seconds for your job to be assigned to a Microsoft-hosted agent, it can sometimes take several minutes for an agent to be allocated depending on the load on our system.

This approach can work well for agents that run jobs that don't consume many shared resources. For example, you could try it for agents that run releases that mostly orchestrate deployments and don't do much work on the agent itself. You might find that in other cases you don't gain much efficiency by running multiple agents on the same machine.

You might also run into problems if parallel build jobs are using the same singleton tool deployment, such as npm packages. For example, one build might update a dependency while another build is in the middle of using it, which could cause unreliable results and errors. When a pipeline is cancelled, the agent sends a sequence of commands to the process executing the current step. The first command is sent with a timeout of 7. If the process has not terminated, a second command is sent with a timeout of 2.

If the process has not terminated, the agent issues a command to kill the process. If the process does not honor the two initial termination requests, it will be killed. From the initial request to termination takes approximately 10 seconds.

Azure Pipelines Agent is open source on GitHub. For more information about agents, see the following modules from the Build applications with Azure DevOps learning path. Skip to main content. Can you help us improve? Resolved my issue. Clear instructions. Easy to follow. No jargon. Pictures helped.

Didn't match my screen. Incorrect instructions. Too technical. Not enough information. Not enough pictures. Any additional feedback?