panther-labs/panther-analysis
Jul 2025 – Jul 2025
1 Month active
Languages Used
PythonYAML
Technical Skills
AI/ML SecurityAWSCloud SecurityRule DevelopmentSecurity Monitoring
Christina Aravantinou
PROFILE
Christina Aravantinou
During July 2025, contributed to the panther-analysis repository by developing two monitoring rules focused on AWS Bedrock model invocations. The work centered on detecting abnormal token usage through threshold-based alerting and identifying guardrail interventions that signal potential misuse or policy violations. Leveraging Python and YAML, the rules enhanced security monitoring and governance by providing greater observability into Bedrock activity and enabling faster incident response. The technical approach involved rule development for cloud security, integrating policy guardrails into the detection workflow. No major bugs were addressed during this period, with efforts concentrated on feature delivery and improving detection capabilities for AWS environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
490
Activity Months1
Your Network
18 peopleWork History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for panther-analysis. Delivered two new monitoring rules for AWS Bedrock model invocations to improve security, governance, and observability. The features address abnormal token usage with alert thresholds and guardrail intervention detection to expose misuse and policy violations, implemented under commit f34f0828006df7f4014ecafb44657659a10a6b8c (#1622). No major bugs fixed this month. Overall impact: enhanced visibility into Bedrock usage, faster detection of policy violations, and stronger governance of model invocations. Technologies/skills demonstrated: AWS Bedrock, rule-based monitoring, threshold-based alerting, observability and incident response readiness, policy guardrails, version control and code review.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for panther-analysis. Delivered two new monitoring rules for AWS Bedrock model invocations to improve security, governance, and observability. The features address abnormal token usage with alert thresholds and guardrail intervention detection to expose misuse and policy violations, implemented under commit f34f0828006df7f4014ecafb44657659a10a6b8c (#1622). No major bugs fixed this month. Overall impact: enhanced visibility into Bedrock usage, faster detection of policy violations, and stronger governance of model invocations. Technologies/skills demonstrated: AWS Bedrock, rule-based monitoring, threshold-based alerting, observability and incident response readiness, policy guardrails, version control and code review.
July 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
AI/ML SecurityAWSCloud SecurityRule DevelopmentSecurity Monitoring
Repositories Contributed To
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