AI Security Stack
Least-privilege tooling, approval gates and audit trails for agentic systems.
/ quick answer
Give agents real capability without giving them a path to real damage. Least-privilege tooling, approval gates and audit trails for agentic systems.
- Supabase RLS (per-user authorisation on data)
- Scoped MCP servers (typed, minimal tool surface)
- Secret manager (no credentials in prompts or repos)
- Slack or in-app approvals (human gate on writes)
- Immutable audit log with alerting
- Gateway-level guardrail products
- Custom policy middleware
/ frequently asked
What is the AI Security Stack stack for?
Give agents real capability without giving them a path to real damage.
Which tools are in this stack?
Supabase RLS (per-user authorisation on data), Scoped MCP servers (typed, minimal tool surface), Secret manager (no credentials in prompts or repos), Slack or in-app approvals (human gate on writes), Immutable audit log with alerting.
Are there alternatives to this stack?
Yes — Gateway-level guardrail products, Custom policy middleware.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →AI Security
AI security protects systems where the model is an untrusted decision-maker acting on untrusted input with real tool access.
- →AI Governance
AI governance is the set of policies, records and reviews that make an organisation's AI use accountable and auditable.
- →AI Red Teaming
Deliberately attacking an AI system — jailbreaks, prompt injection, data leaks — to find failures before real users do.
Related workflows
Turn this into a repeatable process.
- →Harden an AI System Against Injection and Misuse
Architectural controls that survive a manipulated model.
- →Audit MCP Tool Security
A checklist that catches the failure modes unique to model-driven tool calls.
- →Red Team an AI App
A repeatable process for attacking your own AI product before launch.
Related tool stacks
The tools that run it in production.
- →AI Observability Stack
Traces, cost, evals and quality drift for AI systems in production.
- →Agentic AI Ops Monitoring Stack
This stack uses an AI browser, an LLM, and an orchestration layer to autonomously monitor IT systems, identify anomalies from web-based dashboards, and generate actionable insights for operations teams. It enhances proactive problem resolution.
- →Indie SaaS Launch Stack
Everything a solo founder needs to ship and monetize a SaaS in weeks.
- →AI Marketing Ops Stack
The control center for an AI-augmented marketing team of one to five.
Related prompts
Reusable prompts for this job.
- →AI System Threat Model Prompt
Produces a concrete threat model for an AI system with tool access.