This page is about the security of data sent to Datadog. If you're looking for cloud and application security products and features, see the Security section.

You can send data to the Datadog service by using a locally installed Agent or through our HTTP API. While use of Datadog does not strictly require use of the Datadog Agent, the vast majority of customers leverage the Agent. This article describes the main security capabilities and features available to ensure your environment is secure.

Agent distribution

The official repositories and binary packages of the Agent are signed. Verify the distribution channel by checking the signature against one of the following public keys:

On Debian and Ubuntu, the datadog-agent package has a soft dependency on the datadog-signing-keys package, which makes the above keys trusted by APT. Keeping the package updated ensures the latest signing keys are present on your system.

Windows MSI

To verify the signature of a Datadog Agent installer file on Windows, pipe the output of Get-AuthenticodeSignature through FormatList (fl) and make sure:

  • the status is valid
  • the certificate is signed by Datadog, Inc
  • the issuer is DigiCert

For example, to verify an .msi file named ddagent-cli-7.49.1.msi:

Get-AuthenticodeSignature ddagent-cli-7.49.1.msi | fl

If the output of the command is A certificate chain could not be built to a trusted root authority, the machine may need a DigiCert root CA update.

Information security

The Datadog Agent submits data to Datadog over a TLS-encrypted TCP connection by default. As of version 6, the Agent can be configured to enforce a minimum TLS version when connecting to Datadog. If you require the use of strong cryptography, for example, to meet PCI requirements, you should use Agent v6/7 and set the min_tls_version: 'tlsv1.2' setting, or force_tls_12: true for Agent < 6.39.0/7.39.0, in the Agent’s configuration file.

Networking and proxying

Datadog is a SaaS product: you need to establish an outbound connection from your network to the public internet in order to submit monitoring data. Traffic is always initiated by the Agent to Datadog from TLS-encrypted TCP connection by default. No sessions are ever initiated from Datadog back to the Agent. See the Agent’s Network page for more information on configuring firewalls to allow list the required Datadog domains and ports. Additionally, if you want to monitor hosts with no direct connectivity to the public internet, or with restricted outbound traffic, consider submitting monitoring data from a proxy.

Agent logs obfuscation

The Datadog Agent generates local logs in order to support Agent troubleshooting as required. As a safety precaution, these local logs are filtered for some specific keywords and patterns that could indicate a potential credential (for example, API key, password, and token keywords), which are then obfuscated before being written to disk.

Local HTTPS server

Agent v6/7 exposes a local HTTPS API to ease communication between a running Agent and Agent tools (for example, the datadog-agent commands). The API server can only be accessed from the local network interface (localhost/127.0.0.1), and authentication is enforced through a token that’s only readable by the user that the Agent runs as. Communication to the local HTTPS API is encrypted in transport to protect from eavesdropping on localhost.

Agent GUI

Agent v6/7 comes bundled with a Graphical User Interface (GUI) by default, which launches in your default web browser. The GUI is launched only if the user launching it has the correct user permissions, including the ability to open the Agent’s configuration file. The GUI can only be accessed from the local network interface (localhost/127.0.0.1). Finally, the user’s cookies must be enabled, as the GUI generates and saves a token used for authenticating all communications with the GUI server as well as protecting against Cross-Site Request Forgery (CSRF) attacks. The GUI can also be disabled altogether if needed.

Agent security scans

Datadog’s Vulnerability Management program includes regular assessments of supporting infrastructure and application components, including active scans of core supporting services. Datadog Security teams perform monthly scans to identify configuration and software vulnerabilities, and track remediation of findings according to Datadog’s Vulnerability Management policy.

Regarding its Container Agent specifically, Datadog performs regular vulnerability static analysis using clair by CoreOS and snyk.io. Additionally, Datadog leverages security scanning as part of its releases of the Container Agent to the Docker Trusted Registry, as well as the Red Hat Container Catalog. In addition to Datadog’s internal Vulnerability Management program, Datadog also partners with container security vendors.

If you believe you’ve discovered a bug in Datadog’s security, get in touch at security@datadoghq.com and we will get back to you within 24 hours. Datadog’s PGP key is available for download in case you need to encrypt communications with us. We request that you not publicly disclose the issue until we have had a chance to address it.

Running as an unprivileged user

By default, the Agent runs as the dd-agent user on Linux and as the ddagentuser account on Windows. The exceptions are as follows:

  • The system-probe runs as root on Linux and as LOCAL_SYSTEM on Windows.
  • The process-agent runs as LOCAL_SYSTEM on Windows.
  • The security-agent runs as root on Linux.

Secrets management

If you have a requirement to avoid storing secrets in plaintext in the Agent’s configuration files, you can leverage the secrets management package. This package allows the Agent to call a user-provided executable to handle retrieval or decryption of secrets, which are then loaded in memory by the Agent. You can design your executable according to your preferred key management service, authentication method, and continuous integration workflow.

For more information, see the Secrets Management documentation.

Telemetry collection

Agent on non-government sites collects environmental, performance, and feature usage information about the Datadog Agent. When the Agent detects a government site, or the Datadog Agent FIPS Proxy is used, the Agent automatically disables this telemetry collection. When such detection is impossible (for example, if a proxy is being used), Agent telemetry is emitted, but immediately dropped at Datadog’s intake. To avoid this data from being emitted in the first place, Datadog recommends disabling Agent telemetry explicitly by updating the agent_telemetry setting in the Agent configuration file, as shown in the example below.

agent_telemetry:
  enabled: false
DD_AGENT_TELEMETRY_ENABLED=false

Datadog may collect environmental, performance, and feature usage information about the Datadog Agent. This may include diagnostic logs and crash dumps of the Datadog Agent with obfuscated stack traces to support and further improve the Datadog Agent.

You can disable this telemetry collection by updating the agent_telemetry setting in the Agent configuration file, as shown in the example below.

agent_telemetry:
  enabled: false
DD_AGENT_TELEMETRY_ENABLED=false

Telemetry content:

Metadata (source)
Machine id
Machine name
OS
OS version
Agent version
Metrics (source)Description
checks.execution_timeCheck’s execution time in milliseconds
pymem.inuseNumber of bytes allocated by the Python interpreter
pymem.allocTotal number of bytes allocated by the Python interpreter since the start of the Agent
api_server.request_duration_secondsCLI commands execution performance (if executed)
logs.decodedTotal number of decoded logs
logs.processedTotal number of processed logs
logs.sender_latencyHTTP sender latency in milliseconds
logs.bytes_missedTotal number of bytes lost before they could be consumed by the Agent, such as after log rotation
logs.sentTotal number of sent logs
logs.droppedTotal number of logs dropped
logs.bytes_sentTotal number of bytes send before encoding, if any
logs.encoded_bytes_sentTotal number of sent bytes after encoding, if any
dogstatsd.udp_packetsDogStatsD UDP packets bytes
dogstatsd.uds_packetsDogStatsD UDS packets bytes
transactions.input_countIncoming transaction count
transactions.requeuedTransaction requeue count
transactions.retriesTransaction retry count
point.sentTotal number of sent metrics
point.droppedTotal number of dropped metrics
oracle.activity_samples_countNumber of rows fetched in measuring query activity (Number of activity samples collected)
oracle.activity_latencyTime to retrieve query activity in milliseconds
oracle.statement_metricsTime to retrieve database metrics in milliseconds
oracle.statement_plan_errorsNumber of errors in retrieving execution plans
postgres.collect_relations_autodiscovery_msTime to collect autodiscoverty relations in milliseconds
postgres.collect_stat_autodiscovery_msTime to collect Autodiscovery stats in milliseconds
postgres.get_new_pg_stat_activity_msTime to get pg_stat_activity in milliseconds
postgres.get_new_pg_stat_activity_countTotal rows fetched to collect pg_stat_activity
postgres.get_active_connections_msTime to get active connections in milliseconds
postgres.get_active_connections_countTotal rows fetched to get active connections
postgres.collect_activity_snapshot_msTime to get activity snapshot in milliseconds
postgres.collect_statement_samples_msTime to get statement samples in milliseconds
postgres.collect_statement_samples_countTotal rows fetched to collect statement samples

Only applicable metrics are emitted. For example, if DBM is not enabled, none of the database related metrics are emitted.

Further Reading

Additional helpful documentation, links, and articles:

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