Your Partner
in AI Agent
Development.
Helping Organisations Build Private AI Agents on AWS Bedrock with Built-In Guardrails and Observability.
The era of AI is here, and protecting your company's data has never been more important.
Adoption is growing faster than security teams can keep up. Enterprises are forced to pay top dollar for vendors to secure their AI sprawl. But what if you could do this from day one?
That's where Camarra bridges the gap.
Because our agency builds your RAG agents natively within AWS, we engineer those exact same enterprise-grade security principles, runtime guardrails, and full observability directly into your cloud environment - for a fraction of the cost.
AWS Defense-in-Depth
We don't just put a password on a chatbot. We isolate your AI using strict API governance and zero-trust policies.
What Happens When AI Isn't Built on Secure Infrastructure?
When businesses attempt to deploy AI using standard internet wrappers outside of a secure cloud environment, they expose themselves to critical vulnerabilities:
Infrastructure & Connectivity Risks
- Public IPs leave backends exposed to DDoS attacks that sever your AI connection
- Data routes across foreign borders, triggering compliance violations
- One leaked API key gives anyone full, unverified access
Security & Threat Landscape
- Prompt injection hijacks AI logic and exfiltrates sensitive data
- Unvetted third-party tool servers create supply chain blind spots
- No identity-linked access control means AI leaks restricted documents
Architectural Inefficiencies
- Bloated system prompts burn tokens while reducing accuracy
- More hallucinations, less trust across your organisation
- A productivity tool turned cost-prohibitive liability
Why Is AWS the Solution?
Organisations don't just want a chatbot - they want intelligent automation that won't leak proprietary data. When you deploy AI, you're selling trust. Strict access control and private network paths are architectural requirements that generic wrappers can't deliver.
Private Network Security
AI traffic stays on AWS's private backbone via PrivateLink - never touching the public internet. Access is locked down through your corporate VPNs, secure subnets, and rigid Security Groups.
Infrastructure-Level Guardrails
Forget fragile system prompts. Bedrock Guardrails and Verified Permissions (Cedar) enforce security at the runtime level - physically blocking any attempt to extract PII or sensitive data.
Identity & Access Management
Every request is tied to verified corporate identities via Cognito, SSO, and Row-Level Security. API gateways enforce rate-limiting and JWT authentication - only verified employees get access.
Precision Data Retrieval (RAG)
Your documents become secure vector embeddings inside AWS Knowledge Bases. The agent delivers factual, verifiable answers grounded only in your proprietary data - no hallucinated guesswork.
Native Observability
CloudWatch dashboards let you monitor every output, set alerts, and evaluate quality per session. Long-term trend storage and session memory are handled natively by AWS.
The Fail-Safe: Preventing a Database Wipe
A malicious user tricks the agent into running Delete the customer table. Because Camarra assigns a restrictive IAM Role - limited to reads and writes for that session only - AWS intercepts and blocks the call instantly. The AI is physically incapable of harming your database, no matter what a user tricks it into doing.
What Powers Camarra's Architecture?
Amazon Bedrock
A fully managed AWS service providing secure access to foundation models like Anthropic's Claude. AWS handles all hardware, scaling, and updates - if demand spikes, it scales automatically. When a better model launches, we switch your agents over seamlessly.
AWS AgentCore
The dedicated runtime within Bedrock that gives LLMs the power to act:
- Tool Execution: Securely connects to Lambda, MCP servers, and external APIs
- Semantic Selection: Picks the right tool per input, avoiding context overload
- Session Isolation: Every chat gets its own microVM for guaranteed secure state
The Architecture of Trust
When building an enterprise AI agent, you must be able to answer these five critical questions:
Visibility
How do I know exactly what the agent is accessing?
Authorization
How do I verify users can access the content the agent retrieves?
Data Protection
How do I prevent the agent from sharing PII?
Containment
How do I stop unauthorized actions on my infrastructure?
Governance
How do I guarantee compliance with data residency policies?
By building on AWS with Camarra, you can answer "yes" to all five - natively, without third-party security patches.
Ready to Partner?
Building upon our time at leading software vendors, we draw upon years of experience deploying tech to secure cloud networks, unstructured data repositories, and more recently: AI agents.
Most notably, the impact of driving Microsoft Copilot readiness projects across enterprises to support adoption has inspired our mission to do so here - directly on AWS.