Developer Tools1 week ago
Paitify — Agent Spend Policy Engine
Real-time authorization and policy enforcement for controlling AI agent spending.
rhmnkpc · Product Hunt
Paitify The authorization layer for AI agent spending
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Real-time authorization and policy enforcement for controlling AI agent spending.
rhmnkpc · Product Hunt
Paitify The authorization layer for AI agent spending
AI-powered insurance policy review with document upload, history tracking, and policy-aware chat.
@PilotPolicy · X
disrupting the insurance industry one roof at a time
Organize compliance controls, policies, and evidence to prepare for audits.
@KeelGRC · X
just launched this week. It’s an SMB-friendly GRC and compliance application.
A human-guided compliance desk for teams too small for a security department.
@polsia · X
Vibe-coding your way to a SOC 2 audit in record time. ProofCairn is the AI compliance desk that makes sure you don't show up with hardcoded keys in your pocket.
Automatically scan Yelp reviews and generate disputes for policy violations.
@Belcherapp · X
Add policy enforcement, human approvals, and audit logs to any AI agent via SDK integration.
@4tul_tiwari · X
I built an AI agent security platform — policy enforcement, human approval queues, tamper-evident audit logs — embedded directly inside agent code via SDK. LangChain, CrewAI, AutoGen, MCP, Claude Code, OpenAI Agents SDK — all supported. Live at
Generate privacy policies and compliance documents instantly without signing up.
@Policifyai · X
🚀 Get FREE AI compliance policies tailored to your business in under 60 seconds → No card needed.
Enforce policies and audit AI-assisted code changes at merge time.
@Scyloq · X
Currently building SentrAI. The merge-time control plane for AI-assisted software development. Enforce policy, audit every AI-generated change. Just finished an interactive demo and would love your honest feedback. Built with @Lovable
Check AI agent outputs and actions against your policies before execution; get allow, block, rewrite, or escalate decisions.
u/danielbaker06072001 · Reddit
Most AI agent SaaS is just bad security with a nice dashboard Give a new employee access to Stripe, GitHub, Slack, and your CRM on day one, and you’d call it reckless. Give the same access to an AI agent, and we call it “autonomous.” That isn’t innovation. It’s skipping basic security because the demo looks cool. Full disclosure: I’m building TrustLoopGuard around this problem, so I’m obviously biased. While testing one MCP connection, I realized I had decided what the agent could a
Enforces your trading rules and prevents impulsive trades.
u/RoughEffective5099 · Reddit
I kept breaking my own trading rules, so I built something that calls me out before I click buy Had a simple rule for buying dips. Followed it, it worked. Then I started taking trades that didn't fit the rule and gave most of it back. The rule never changed — I did. Had an economics assignment on nudge theory around the same time and realised I'd been nudging myself. Knowing the terms doesn't help — the biases fire while you're deciding, not after. So: one text box. You write why you're a
Trace, replay, and verify AI agent decisions with signed audit trails.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in
Manage policies and track audit trails for AI-generated user interfaces.
@Wovyr · X