惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

GbyAI
GbyAI
Martin Fowler
Martin Fowler
I
InfoQ
腾讯CDC
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
爱范儿
爱范儿
Microsoft Security Blog
Microsoft Security Blog
Google DeepMind News
Google DeepMind News
D
DataBreaches.Net
云风的 BLOG
云风的 BLOG
F
Fortinet All Blogs
N
Netflix TechBlog - Medium
博客园 - 聂微东
Microsoft Azure Blog
Microsoft Azure Blog
D
Docker
博客园 - 三生石上(FineUI控件)
Y
Y Combinator Blog
博客园 - Franky
Engineering at Meta
Engineering at Meta
B
Blog
罗磊的独立博客
Apple Machine Learning Research
Apple Machine Learning Research
Jina AI
Jina AI
V
Visual Studio Blog

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Why Login Isn't Enough: Cryptographic Intent Verification...
FortSignal · 2026-04-25 · via DEV Community

FortSignal

Most authentication systems solve the wrong problem.

They verify identity at login — "are you who you say you are?" — then trust every action that follows. That worked fine when humans were the only ones taking actions. It breaks down fast when AI agents are involved.

The gap nobody talks about

An agent logs in with valid credentials. It has a valid session. It makes a request to transfer $50,000 to an external account. Every auth check passes. The action executes.

Was that supposed to happen? Nobody knows. There's no proof a human approved it. There's no record of what parameters were actually signed off on. There's no way to tell if the amount or recipient was

tampered with between when the action was initiated and when it executed.

This is the intent gap — the space between "authenticated" and "authorized to do this specific thing right now."

Cryptographic intent verification

FortSignal closes this gap. Before any sensitive action executes:

  1. Your backend calls /challenge/start with the exact action parameters — action, amount, recipient
  2. FortSignal hashes those exact values into a challenge
  3. The user's hardware signs that challenge via WebAuthn (Face ID, Touch ID, security key)
  4. /challenge/verify checks the signature and enforces your policy rules
  5. Returns decision: allow or deny with a signed receipt

If anything changes between step 1 and step 4 — amount, recipient, anything — the hash won't match and it's a deny. Cryptographic proof, not just a checkbox.

For AI agents

Agents don't use WebAuthn — there's no human present. Instead, agents sign with an Ed25519 private key on the server. A human pre-approves a delegation scope from the dashboard — allowed actions, max amount

per action, allowed recipients, expiry. The agent operates autonomously within those bounds.

Every agent action is checked against:

  1. Valid Ed25519 signature
  2. Within delegation scope approved by a human
  3. Within policy constraints

Revoke a delegation instantly. The agent's next action is denied — no waiting for a token to expire.

Two separate layers

Intent fields (action, amount, recipient) are per-request — what gets cryptographically signed. Policy is persistent rules you configure once in your dashboard. Both must pass for allow. A valid signature on a $1M transfer still gets denied if your policy caps actions at $5,000.

Why now

AI agents are being dropped into production apps right now. Developers don't have a good answer for "how do I make sure my agent doesn't do something it shouldn't?" Existing auth systems weren't built for this. WebAuthn alone doesn't solve it — you need parameter binding, policy enforcement, and agent delegation on top.

npm install @fortsignal/sdk

Full docs at fortsignal.com/docs. Patent pending on the parameter binding system.

Would love to hear how others are solving this problem — or if you're building something where this fits.
fortsignal.com