Deploying an Agentic AI Cloud Advisor for a National Security Intelligence Platform

Tirion's core platform ran on a capable but manual foundation, and cloud security oversight had not kept pace with the sensitivity of the workload:

• Manual Security Review: Security posture and threat findings across the AWS environment were reviewed manually, with no automated way to classify, prioritize, or remediate them.
• No PII Discovery Automation: Sensitive data stored across the environment had no automated discovery or classification process, a significant gap for a platform handling government threat intelligence.
• Fragmented Findings: Signals from AWS security services existed in isolation, with no central layer to correlate configuration drift, threat detections, and sensitive-data findings into one picture.
• No Persistent Context: There was no mechanism for an automated system to retain context across a session or across repeated queries, limiting any assistant to one-shot, stateless checks.
• No Executive Visibility: Leadership and compliance stakeholders had no dashboard translating raw findings into risk, compliance gaps, or threat posture they could act on.
• Absence of Guardrails: With government end users and strict data isolation requirements, there was no formal framework for constraining and observing what an AI system was allowed to do inside the environment.

Vontech Group designed and deployed a multi-tool agentic architecture on AWS, centered on Amazon Bedrock AgentCore, purpose-built for autonomous security and compliance advisory:

• Edge & Identity: AWS Amplify authenticates enterprise users at the edge, with Amazon Cognito and AgentCore Identity managing session and service identity before any request reaches the agent runtime.
• Agent Core Architecture: A centralized Agent Core runtime hosts intent parsing, plan generation, policy processing, and tool execution engines, orchestrating workflows dynamically rather than following fixed scripts.
• Agent Memory: Short-term session memory and long-term vector-based memory give the agent continuity across multi-turn conversations and repeated queries.
• Generative AI Platform: Amazon Bedrock hosts the foundation models and knowledge bases behind the agent's reasoning and summarization, with Amazon Bedrock Guardrails enforcing safety and compliance boundaries on every response.
• Security & PII Tooling: The agent orchestrates a five-tool stack, Amazon Macie for PII discovery, AWS Config for configuration compliance, AWS Security Hub for threat findings, plus a dedicated validation tool and monitoring tool, unifying discovery, compliance, and threat detection under one orchestration layer.
• Event-Driven Remediation: Findings from Security Hub route through Amazon EventBridge to AWS Lambda and Amazon SNS, triggering automated remediation actions and notifications without manual intervention.
• Serverless Analytics Pipeline: Findings and telemetry stream via Kinesis Data Firehose into Amazon S3, are catalogued in the AWS Glue Data Catalog, queried through Amazon Athena, and visualized in Amazon QuickSight for executive-level risk and compliance reporting.
• Observability: AgentCore Observability and Amazon CloudWatch provide end-to-end tracing and logging across every agent decision and tool call.