The Academic Case for Deterministic AI Agent Enforcement
A new research paper argues that LLMs cannot self-enforce security constraints. Intercept implements every recommendation — as open-source software you can deploy today.
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Insights & Updates
Technical deep-dives on AI agent security, spending controls, and the future of autonomous payments.
Your Coding Agent Can Delete Any File on Disk
The filesystem MCP server gives AI agents unrestricted read and write access. Here's how to rate limit file operations and prevent destructive mistakes.
Your AI Agent Can Run DROP TABLE on Production
The PostgreSQL MCP server exposes a raw SQL query tool with no restrictions. Here's how to rate limit queries before your agent drops a table.
Your AI Agent Can Delete Your DNS Records
The Cloudflare MCP server gives AI agents access to DNS changes, worker deployments, and zone management. Here's how to block deletions and rate limit infrastructure changes.
The Case for Deterministic AI Agent Policies
AI agents decide probabilistically, but safety constraints shouldn't. Why deterministic policy enforcement outside the model produces more reliable agent systems.
MCP Security: Why Prompt Guardrails Aren't Enough
Prompt guardrails for MCP agents are bypassable and unauditable. Why deterministic policy enforcement at the transport layer is the real security primitive.
What Happens When Your AI Agent Goes Rogue
What happens when your AI agent goes rogue? Six failure modes — runaway loops, spending spirals, destructive ops — and the deterministic policies that stop them.
Rate Limiting MCP Tool Calls: A Practical Guide
Learn how to add per-tool and global rate limits to MCP agents with YAML policies. Covers counters, wildcards, and stateful tracking.
How to Add Spending Controls to Any MCP Agent
A step-by-step guide to adding transaction limits, daily spend caps, and currency restrictions to MCP-connected AI agents using YAML policies and the Intercept proxy.
One Command to Policy-Enforced Agents: Introducing the CLI Init Tool and MCP Server
npx @policylayer/mcp init takes you from zero to policy-enforced AI agent in under a minute. Browser auth, guided setup, and MCP tools your agent discovers automatically.
Why Your Agent Shouldn't Know About Its Spending Limits
Policy enforcement belongs in your tools, not your agent. Here's why the integration point matters for security.
x402 Policy Enforcement: How to Add Spending Limits to HTTP 402 Payments
Set per-endpoint spending limits, recipient allowlists, and rate controls on x402 payments — without giving up your private keys. Here's how it works.
Know Your Agent (KYA): We're Building the Infrastructure
Sean Neville says agents need cryptographic credentials linking them to principals, constraints, and liability. Here's how PolicyLayer is building exactly that.
Agentic Finance: The $30 Trillion Opportunity Nobody is Ready For
Gartner predicts $30T in autonomous agent economic activity by 2030. Here's why policy infrastructure is the missing piece for enterprise adoption.
Non-Custodial Security: Why We Don't Want Your Keys
PolicyLayer enforces spending policies without ever touching your private keys. Learn how non-custodial architecture enables compliance without custody risk.
The Kill Switch: Emergency Controls for Autonomous Fleets
How to instantly halt all AI agent spending with a single click when bugs or attacks are detected in your autonomous fleet.
Under the Hood: How Two-Gate Enforcement Works
Technical deep-dive into PolicyLayer's two-gate cryptographic architecture that prevents transaction tampering without holding private keys.
Stablecoin Payroll: How to Automate Payouts without Risking the Vault
Use AI agents to automate USDC payroll while protecting your treasury with asset whitelists, recipient controls, and spending limits.
The Anatomy of a Wallet Drain: How One Logic Loop Cost $100k
Case study of how a simple infinite loop bug can drain an AI agent's entire wallet in seconds, and how velocity limits prevent catastrophic loss.
Why Prompt Engineering is NOT Security: The Case for Policy Engines
System prompts can be jailbroken. Learn why deterministic policy engines are the only way to secure AI agent wallets against prompt injection attacks.
The Binary Permissions Problem: Why Traditional Wallets Fail AI Agents
Traditional crypto wallets offer all-or-nothing access. Learn why AI agents need granular policy layers between binary permissions.
Multisig vs Policy Layers: Which Approach Secures AI Agents Better?
Compare multisig wallets and policy layers for AI agent security. Learn when to use each approach—and why the best answer is often both.
SOC 2 Compliance for AI Agents: Audit Trails, Access Controls & Monitoring
Your AI agents handle money — here's how to satisfy SOC 2 requirements with proper audit trails, access controls, and real-time monitoring. Technical guide.
Policy Enforcement Latency: Real-World Benchmarks
How much latency does policy enforcement add to AI agent transactions? Real benchmarks from production deployments.
AI Agent Treasury Management: How to Structure Multi-Agent Wallets
Best practices for managing treasury funds across multiple AI agents. Isolation strategies, budget allocation, and emergency controls.
Custodial vs Non-Custodial: The Key Architecture Decision for AI Agent Wallets
Should you give your AI agents their own keys or use a custodial service? The trade-offs, risks, and when to use each approach.
PCI-DSS Compliance for AI Agents Making Autonomous Payments
How PCI-DSS requirements apply to AI agents processing payments. Cardholder data handling, scope reduction, and compliance strategies.
How to Prevent AI Agents from Draining Crypto Wallets
Comprehensive guide to securing AI agent wallet access with spending limits, recipient whitelists, and two-gate cryptographic enforcement.