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Description
Additional Advanced Threat Detection Features
Problem
As attack techniques grow more sophisticated, CIAM platforms need to continually level up their built-in capabilities to proactively detect and respond to evolving threats. Without stronger built-in threat detection, FusionAuth users must rely on external tools or custom integrations, adding complexity and leaving potential security gaps.
Solution
Add support for additional advanced threat detection features, including:
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Threat Intelligence Integration
- Leverage threat intelligence feeds to identify sophisticated threat actor activity, such as phishing infrastructure or known malicious IP addresses.
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Dynamic Risk Levels
- Dynamically adjust entity risk levels based on session context changes (e.g., IP address, geolocation, or device fingerprint changes).
- Similar to adaptive user attributes in other platforms (e.g., Okta).
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Session Hijacking Detection
- Detect suspected session hijacking attempts (e.g., token theft, replay attacks) using AI or behavioral analysis to flag anomalous session activity.
Alternatives/workarounds
- Integrate FusionAuth with external security solutions through tools such as lambdas, webhooks or APIs.
Additional context
Add any other context or screenshots about the feature request here.
Community guidelines
All issues filed in this repository must abide by the FusionAuth community guidelines.
How to vote
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