Graylog API Security is continuous API security, scanning all API traffic at runtime for active attacks and threats.
Graylog API Security captures details to immediately identify valid traffic from malicious actions, adding active API intelligence to your security stack. Think of it as a “security analyst in-a-box,” automating API security by detecting and alerting on zero-day attacks and threats.
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Firewalls and gateways are not enough. Attackers can appear as users and penetrate the perimeter. Internal users and partners bypass firewalls and can directly access microservices without inspection. Graylog API Security continuously scans API traffic to detect attack traffic from valid users before it reaches your applications.
Mapped to security and quality rules, get aggregated and individual API call details across all your APIs.
Pre-configured signatures identify common threats and API failures. Alerts work with common communication tools like Slack, Teams, Gchat, JIRA or via webhooks. Automatic deduplication reduces alert fatigue.
Broken Object Level Authorization (BOLA), API parameter tampering, session hijacking, and other exploit types.
Graylog API Security continuously scans all request and response payloads from every endpoint in real-time, giving you the data necessary to understand and expose potentially malicious traffic. Using these complete datasets, you can uncover, triage, and retroactively assess API anomalies like unchecked access for user IDs, unvalidated URL parameters, and missing HTTPS in sessions.
Detect a zero-day issue, and search all API calls retroactively to identify patterns and track actions.
Hard-coded API keys, deprecated APIs still accessible, object-level authorization.
Graylog API Security continuously scans all request and response payloads from every endpoint in real-time, supporting your cybersecurity program with data on potentially malicious traffic in development, production, and retroactive assessment. Using these datasets, security teams uncover and mitigate insecure API coding practices, insufficient parameter validation, anomalous traffic patterns, and more.
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