CloudTrail monitoring for leaked keys and risky API use.
TrailGuard is built for AWS teams that want earlier visibility into suspicious control-plane behavior without moving CloudTrail processing out of their own environment. Deployed via CloudFormation and executed through Lambda in your AWS account, TrailGuard monitors CloudTrail activity, evaluates source IPs with FraudGuard intelligence, and uses your geoblocks, blacklists, and trust policy to surface the events that matter.
What it is built to detect
Leaked access key use, suspicious geographies, blacklisted or high-risk source IP access, privilege escalation patterns, and API activity that deserves immediate human review.
Why teams buy it
TrailGuard helps teams operationalize CloudTrail faster by putting source-IP intelligence and customer policy directly into the detection path.
Why TrailGuard is useful beyond raw CloudTrail logs
CloudTrail is essential, but it does not tell you on its own whether the source IP belongs to risky infrastructure, whether the region should be blocked, or whether the event fits the early stages of a real threat. TrailGuard is about turning that raw activity into a clearer detection workflow.
Catch leaked-key use faster
Alert on AWS API activity from source networks that should never be associated with your organization.
Use geoblock policy operationally
Detect CloudTrail activity from regions your FraudGuard configuration already marks as disallowed or suspicious.
Prioritize hostile infrastructure
Elevate events tied to blacklisted or risky source IP infrastructure instead of treating every CloudTrail record equally.
Alert where teams already work
Use SNS and downstream integrations to get findings into the workflows your platform and security teams already monitor.
How the deployment model works
TrailGuard follows the same AWS-native philosophy as WAFGuard. It is designed to deploy into the customer's AWS account via CloudFormation and execute through Lambda so CloudTrail monitoring stays close to the environment that generated the events.
That architecture is useful for organizations that do not want to ship sensitive cloud activity into an entirely separate execution layer just to detect risky source IPs, bad geographies, or known-hostile infrastructure. FraudGuard provides the intelligence path, while TrailGuard keeps operational control with the customer.
Because it works from the CloudTrail stream itself, TrailGuard fits cleanly into AWS environments where teams care about explainable control-plane monitoring, cloud governance, and alerting that maps to real operator response.
CloudFormation deployment
Roll TrailGuard into AWS using a packaging model cloud teams can review and approve internally.
Lambda execution in your account
Keep CloudTrail event processing inside the customer's AWS environment instead of externalizing core control-plane monitoring.
FraudGuard policy and threat context
Use your own FraudGuard account settings, including geoblocks and blacklists, to shape what triggers attention.
SNS-based notifications
Feed findings into Slack, email, webhooks, and incident workflows with standard AWS-native notification plumbing.
Typical TrailGuard workflow
TrailGuard keeps the control-plane detection path simple: monitor events, enrich source IPs, evaluate policy, and alert with enough context to act.
Read CloudTrail activity
Observe AWS API activity generated inside the customer's own cloud environment.
Evaluate source IP context
Use FraudGuard intelligence to understand whether the source is risky, geoblocked, blacklisted, or otherwise suspicious.
Apply customer policy
Check the event against your FraudGuard-managed controls so alerts reflect how your environment is actually meant to operate.
Alert and respond
Send enriched findings to analysts and cloud operators with enough signal to investigate quickly.
What TrailGuard can help surface
TrailGuard is designed for the kinds of CloudTrail events that are often technically visible but operationally under-explained.
Leaked access keys
Detect usage patterns that suggest credentials are being exercised from infrastructure your organization does not own.
Geoblocked access attempts
Alert on control-plane activity originating from regions your FraudGuard policy already considers unacceptable.
Blacklisted source IPs
Elevate events that hit AWS from infrastructure already known to FraudGuard as suspicious or hostile.
Privilege-sensitive activity
Review changes and API usage that carry higher operational risk when paired with suspect source context.
Customer-specific trust violations
Make your own allow, deny, and geography posture part of the detection decision rather than maintaining it separately.
Faster analyst triage
Give responders richer context so a CloudTrail alert is easier to sort into benign, urgent, or incident-worthy activity.
Best-fit TrailGuard customers
TrailGuard is strongest for AWS operators who want control-plane monitoring informed by real source-IP risk and customer policy, not just generic log matching.
AWS organizations with real admin traffic
Teams that need a better signal on cloud access because CloudTrail volume is high and the wrong event can be expensive.
Security teams tracking key misuse
Organizations that worry about leaked keys, risky geographies, and cloud API actions from infrastructure they do not trust.
Platform teams that prefer in-account controls
Customers who want AWS-native deployment and execution rather than outsourcing core detection logic into a black-box service path.
Bring CloudTrail, source-IP intelligence, and customer policy into one cleaner detection path
TrailGuard helps AWS teams move faster on risky control-plane activity by enriching CloudTrail with FraudGuard intelligence and the policy posture they already maintain. That is how you go from raw event visibility to an alert stream that actually earns attention.