Home
Storia in 1 fonti
Securing AI Agents in a Bank: From Daily ChatGPT Use to a Production-Ready Secure Harness
A practical security architecture for governing employee AI usage and building a production AI agent with identity, permissions, tool controls, approvals, logging, and incident response.
Raccontata da
dev.to
- ·
AI agents are only as useful as the tools they can safely touch
Anthropic's Stainless acquisition and recent Claude Code updates show where AI coding is headed: safer tool access, scoped credentials, sandboxes, and cleaner developer workflows.
- ·
Building a Safe Internal AI Assistant with Amazon Kendra and Amazon Bedrock
A practical, human guide for teams trying to reduce risky copy/paste into external AI tools
- ·
How CASB Helps Control External AI Platforms Without Killing Innovation
A practical, human guide to using CASB, SWG, DLP, and secure browser controls to reduce risky copy/paste into ChatGPT, Claude, Canva, Midjourney, and other external AI tools.
- ·
Securing Your AI Agents: Essential Practices for On-Device Automation
The AI world is buzzing, but recent events highlight the critical need for secure and efficient AI agents. Discover practical engineering steps for building reliable automation…
- ·
Agent Loop and Harness: A Practical Engineering View of AI Operations
A practical engineering guide to agent loops, harnesses, tool use, guardrails, observability, and security controls for production AI agents.
- ·
Controlling Employee AI Usage on Managed Devices: Browser Controls, Cloudflare AI Gateway, and AWS Bedrock
A practical enterprise architecture for governing employee AI usage across browsers, application APIs, and internal Bedrock-based AI systems.
- ·
Securing AI Agents in a Bank: From Daily ChatGPT Use to a Production-Ready Secure Harness
A practical security architecture for governing employee AI usage and building a production AI agent with identity, permissions, tool controls, approvals, logging, and incident…
- ·
Building a Secure AI Agent Harness for a Bank: From Architecture to Working Code
A hands-on implementation guide for building a policy-controlled AI agent harness with FastAPI, tool allowlists, approval gates, validation, audit logging, and a Dev.to RunKit…