Customer
Arnica is a cybersecurity software company focused on AI-driven remediation and developer behavior analytics. Their platform helps engineering teams identify, prioritize, and resolve security risks across the software development lifecycle.
The Challenge
Arnica faced several systemic constraints that limited the effectiveness of their security platform:
- - Alert fatigue from high volumes of false positives overwhelmed security teams
- - Manual remediation overhead slowed response times for critical vulnerabilities
- - Inconsistent risk prioritization across scanning tools and workflows
- - Static analysis and manual communication channels slowed remediation cycles
As the platform scaled, these constraints reduced developer confidence and slowed the feedback loop between detection and resolution.
The Solution
Tactical Edge partnered with Arnica to architect and implement a modernized DevSecOps platform on AWS, built around event-driven automation and AI-powered intelligence.
Key components of the solution included:
- - Event-driven architecture using AWS Lambda and Amazon API Gateway for real-time security event processing
- - Amazon Bedrock and Amazon SageMaker for AI-powered remediation recommendations and risk scoring
- - RAG architecture with Amazon OpenSearch, DynamoDB, and S3 for contextual knowledge retrieval
- - Amazon ECS on Fargate and EC2 Auto Scaling for scalable, containerized workloads
- - CI/CD pipeline using AWS CodePipeline and AWS CodeBuild for automated deployment and testing
The architecture was designed to process security events in real time, correlate findings with AI-driven context, and surface actionable recommendations without requiring manual triage.
Results
With the modernized platform in production, Arnica achieved measurable improvements across security operations:
- - 40% reduction in false positives through AI-driven risk prioritization and contextual analysis
- - 30% reduction in mean time to remediation (MTTR) with automated recommendation workflows
- - SLO of under 5 seconds retrieval latency for security context and knowledge lookups
- - 0 high-risk issues identified during the AWS Well-Architected Framework review
The platform now operates as a production-grade, AI-augmented security system that reduces noise, accelerates remediation, and scales with Arnica's growing customer base.
Why It Matters
This engagement demonstrates a core Tactical Edge principle:
AI-driven security automation delivers value when it reduces noise, accelerates action, and integrates seamlessly into developer workflows on cloud-native infrastructure.
For Arnica, this meant faster, more confident security operations without sacrificing accuracy or developer experience.
This engagement reflects Tactical Edge's broader approach: start from real operational constraints, design AI systems with event-driven automation and governance built in, and focus on measurable outcomes that scale in production.