Insights
BRACEWorks publishes technical insights on cloud security, generative AI security, and security governance. They're grounded in documented industry data and public frameworks rather than vendor marketing. Articles will be added here as they're published.
Five Principles for Securing Cloud and AI Environments
A practical look at identity, network visibility, API security, data protection, and DevSecOps, and how the BRACE methodology ties them together.
Securing Agentic AI Adoption: What to Guard Against
Prompt injection, MCP tool poisoning, memory poisoning, and supply chain risk are documented, growing threats to enterprise AI agents. Here's what each one means and how the BRACE methodology addresses them.
Defense in Depth for LLM Applications
How an LLM Gateway fits alongside the firewalls, WAFs, and identity controls companies already have, and why prompt injection, MCP tool poisoning, and supply chain risk call for inspection at the model layer too.
Planned topics (not yet published)
- Reading a cloud security assessment: what “prioritized remediation” should actually mean
- Where your organization sits on the GenAI adoption spectrum, and why it matters
- Building an incident response playbook your team will actually use
- Cloud security baselines: what “well-architected” means in practice