Browse Rules

Snowflake Temporary Stage Created

A temporary stage was created.

Snowflake File Downloaded

A file was downloaded from a stage.

Snowflake Table Copied Into Stage

A table was copied into a stage.

Snowflake External Data Share

Detect when an external share has been initiated from one source cloud to another target cloud.

Dataverse - Guest user exfiltration following Power Platform defense impairment

Identifies a chain of events starting with disablement of Power Platform tenant isolation and removal of an environment's access security group. These events are correlated with Dataverse exfiltration alerts associated with the impacted environment and recently created Microsoft Entra guest users. Note: Activate other Dataverse analytics rules with the MITRE tactic 'Exfiltration' before enabling this rule.

AWS S3 Exfiltration Behavior Identified

The following analytic identifies potential AWS S3 exfiltration behavior by correlating multiple risk events related to Collection and Exfiltration techniques. It leverages risk events from AWS sources, focusing on instances where two or more unique analytics and distinct MITRE ATT&CK IDs are triggered for a specific risk object. This activity is significant as it may indicate an ongoing data exfiltration attempt, which is critical for security teams to monitor. If confirmed malicious, this coul

Command Line Usage of Archiving Software

Before [exfiltrating data](https://attack.mitre.org/tactics/TA0010) that an adversary has [collected](https://attack.mitre.org/tactics/TA0009), it is very likely that a [compressed archive](https://attack.mitre.org/techniques/T1560) will be created, so that transfer times are minimized and fewer files are transmitted. There is variety between the tools used to compress data, but the command line usage and context of archiving tools, such as ZIP, RAR, and 7ZIP, should be monitored. In addition t

GenAI Process Accessing Sensitive Files

Detects when GenAI tools access sensitive files such as cloud credentials, SSH keys, browser password databases, or shell configurations. Attackers leverage GenAI agents to systematically locate and exfiltrate credentials, API keys, and tokens. Access to credential stores (.aws/credentials, .ssh/id_*) suggests harvesting, while writes to shell configs (.bashrc, .zshrc) indicate persistence attempts. Note: On linux only creation events are available. Access events are not yet implemented.

AWS Bedrock High-Frequency Single-Model Inference API Probing

Identifies an AWS principal performing a high volume of Amazon Bedrock inference API calls against a single model within a short window. Membership inference attacks require hundreds to thousands of statistically similar queries whose prompts and responses are intentionally content-benign, making guardrail- and content-based rules ineffective. This rule detects the high-frequency single-model probing pattern that precedes membership inference and related exfiltration via the inference API. It is

SMB Write Request

As described in [CAR-2013-01-003](../CAR-2013-01-003), SMB provides a means of remotely managing a file system. Adversaries often use SMB to move laterally to a host. SMB is commonly used to upload files. It may be used for staging in [Exfiltration](https://attack.mitre.org/tactics/TA0010) or as a [Lateral Movement](https://attack.mitre.org/tactics/TA0008) technique. Unlike SMB Reads, SMB Write requests typically require an additional level of access, resulting in less activity. Focusing on SMB

GenAI Process Performing Encoding/Chunking Prior to Network Activity

Detects when GenAI processes perform encoding or chunking (base64, gzip, tar, zip) followed by outbound network activity. This sequence indicates data preparation for exfiltration. Attackers encode or compress sensitive data before transmission to obfuscate contents and evade detection. Legitimate GenAI workflows rarely encode data before network communications.

Windows Post Exploitation Risk Behavior

The following analytic identifies four or more distinct post-exploitation behaviors on a Windows system. It leverages data from the Risk data model in Splunk Enterprise Security, focusing on multiple risk events and their associated MITRE ATT&CK tactics and techniques. This activity is significant as it indicates potential malicious actions following an initial compromise, such as persistence, privilege escalation, or data exfiltration. If confirmed malicious, this behavior could allow attackers

GenAI Process Connection to Unusual Domain

Detects GenAI tools connecting to unusual domains on macOS. Adversaries may compromise GenAI tools through prompt injection, malicious MCP servers, or poisoned plugins to establish C2 channels or exfiltrate sensitive data to attacker-controlled infrastructure. AI agents with network access can be manipulated to beacon to external servers, download malicious payloads, or transmit harvested credentials and documents.

GenAI or MCP Server Child Process Execution

Detects child process execution from GenAI tools or MCP (Model Context Protocol) servers. Adversaries exploit AI agents to execute system commands, exfiltrate data, or establish persistence. MCP servers provide LLMs direct access to execute shell commands, read files, and interact with external services. This building block provides visibility into AI-initiated process execution for correlation with other suspicious activity.