LoFP LoFP / vpn or proxy egress that geo-resolves through hubs far from the caller's physical location. corroborate with asn and user-agent diversity before rotating credentials.

Techniques

Sample rules

GCP Vertex AI Caller Activity From High Number of Countries

Description

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.

Detection logic

from logs-gcp_vertexai.auditlogs-*
| where
    data_stream.dataset == "gcp_vertexai.auditlogs" and
    client.user.email is not null and
    source.ip is not null and
    source.geo.location is not null and
    source.geo.country_name is not null and
    (
        event.action like "*PredictionService.GenerateContent*" or
        event.action like "*PredictionService.StreamGenerateContent*" or
        event.action like "*PredictionService.CountTokens*"
    )
| stats
    Esql.country_count = count_distinct(source.geo.country_name),
    Esql.source_ip_count = count_distinct(source.ip),
    Esql.user_agent_count = count_distinct(user_agent.original),
    Esql.event_count = count(*),
    Esql.event_action_values = values(event.action),
    Esql.source_ip_values = values(source.ip),
    Esql.source_geo_country_name_values = values(source.geo.country_name),
    Esql.source_geo_region_name_values = values(source.geo.region_name),
    Esql.source_geo_city_name_values = values(source.geo.city_name),
    Esql.source_as_organization_name_values = values(source.as.organization.name),
    Esql.user_agent_original_values = values(user_agent.original),
    Esql.timestamp_first_seen = min(@timestamp),
    Esql.timestamp_last_seen = max(@timestamp)
  by
    client.user.email
| where Esql.country_count >= 3 and Esql.source_ip_count >= 3
| eval source.ip = MV_FIRST(Esql.source_ip_values)
| keep
    client.user.email,
    source.ip,
    Esql.country_count,
    Esql.source_ip_count,
    Esql.user_agent_count,
    Esql.event_count,
    Esql.event_action_values,
    Esql.source_ip_values,
    Esql.source_geo_country_name_values,
    Esql.source_geo_region_name_values,
    Esql.source_geo_city_name_values,
    Esql.source_as_organization_name_values,
    Esql.user_agent_original_values,
    Esql.timestamp_first_seen,
    Esql.timestamp_last_seen