Detects a single AWS principal invoking Amazon Bedrock models from three or more countries and three or more source IPs within the lookback window. LLMjacking operators often distribute stolen AWS credentials across proxies or resell them to multiple buyers, which produces inference traffic for one identity from many unrelated locations.

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Detects the same AWS principal invoking Amazon Bedrock models (InvokeModel, Converse, and their streaming variants) from geographically distant source IPs within a short window at an impossible travel speed. Stolen access keys and session credentials are frequently resold or reused for LLMjacking, and an inference call from a second continent minutes after a legitimate one is a strong indicator that the credential is being used by someone else.

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Detects successful Microsoft 365 portal logins from a country and region the user has not previously authenticated from in a specific time window. Atypical regions are identified by combining the user's country and region geolocation history; an authentication from a new country/region pair for that user may indicate an adversary attempting to access the account from an unusual location or behind a VPN.

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Detects successful ChatGPT Enterprise logins for the same user email from source IPs whose geo-locations are separated by at least 1,000 km, with implied travel faster than 800 km/h, within a 24-hour window. That pattern can indicate account sharing, VPN or proxy egress mismatches, or an adversary authenticating from a geography far from the legitimate user's baseline.

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Detects ChatGPT Enterprise activity for the same user email from at least three countries and two unique user agents within a four-hour interval across any compliance data stream. Stolen session cookies often produce post-auth activity (conversation views, deletions, downloads) without a new login event, so this rule is not limited to authentication logs.

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Detects Vertex AI authenticated caller activity for the same client.user.email from at least three countries and three source IPs within a four-hour interval. That pattern can indicate stolen user or service-account credentials reused from multiple regions, including VPN or cloud egress and return trips where first and last locations are close.

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Detects the same Vertex AI authenticated caller (client.user.email) generating aiplatform audit activity from geographically distant source IPs within a short window at an impossible travel speed. That pattern can indicate a stolen user or service-account credential used from multiple regions. Related: GCP Vertex AI Caller Activity From High Number of Countries covers slower multi-country reuse without a high-speed hop.

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Detects the same API Management subscription key calling Microsoft Foundry from source IPs in two or more countries, far enough apart and fast enough that the hop is not physical travel. Calls are grouped by apim_subscription_id. Requests with no subscription key are ignored, because those are unauthenticated calls and share no key.

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Detects Anthropic activity for the same user email from at least three countries and two unique user agents within a four-hour interval. This highly unusual activity may indicate leaked session cookies being abused by a remote adversary using a VPN.

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Detects successful Google Workspace sign-ins for the same user from two geographically separated locations within a 90-minute window, where the implied travel speed between the two points exceeds what is physically possible (>=800 km/h, faster than modern commercial airliners) and the geographic separation is at least 500 km. This pattern indicates either VPN/proxy use or an adversary signing in to a compromised account from a different location than the legitimate user.

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Detects successful Microsoft 365 portal logins from impossible travel locations. Impossible travel locations are defined as two different countries within a short time frame. This behavior may indicate an adversary attempting to access a Microsoft 365 account from a compromised account or a malicious actor attempting to access a Microsoft 365 account from a different location.

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Detects successful Microsoft Entra ID interactive sign-ins for the same user from two geographically separated locations within a 90-minute window, where the implied travel speed between the two points exceeds what is physically possible (>=800 km/h, faster than modern commercial airliners) and the geographic separation is at least 500 km. This pattern indicates either VPN/proxy use or an adversary signing in to a compromised account from a different location than the legitimate user. Non-interactive sign-in categories are excluded because backend token refresh activity routinely egresses through cloud regions unrelated to the user. This activity is often observed from AiTM phishing kits or successful phishing campaigns.

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