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Intelligence View
⚡ tsecurity.de Intelligence

Securing AI Agents in the Vercel AI SDK

2025 was the year of LLMs. 2026 is the year of Agents. Agents don't just answer questions—they take actions. They browse the web, execute code, query databases, and call APIs. This changes the security model completely. An LLM that h…

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2025 was the year of LLMs. 2026 is the year of Agents.



Agents don't just answer questions—they take actions. They browse the web, execute code, query databases, and call APIs. This changes the security model completely.



An LLM that hallucinates is annoying. An Agent that hallucinates can delete your production database.




This guide is for developers using the Vercel AI SDK. The linting rules understand generateText, streamText, tool(), and other SDK functions natively.







The OWASP Agentic Top 10 2026



OWASP saw this coming. They're drafting a new category specifically for agentic systems:


























































# Category The Risk
ASI01 Agent Confusion System prompt dynamically overwritten
ASI02 Insufficient Input Validation Tool parameters not validated
ASI03 Insecure Credentials API keys hardcoded in config
ASI04 Sensitive Data in Output Tools leak secrets in responses
ASI05 Unexpected Code Execution AI output executed as code
ASI07 RAG Injection Malicious docs inject instructions
ASI08 Cascading Failures Errors propagate across agent steps
ASI09 Trust Boundary Violations AI bypasses authorization
ASI10 Insufficient Logging No audit trail for AI actions





Visual Example: The Problem



The Vercel AI SDK makes building agents easy. Maybe too easy.






❌ Before: Unprotected Agent






// This code ships to production every day
const result = await generateText({
model: openai('gpt-4'),
tools: {
deleteUser: tool({
execute: async ({ userId }) => {
await db.users.delete(userId); // No confirmation, no validation
},
}),
},
});






What's wrong?




  • No human confirmation before destructive action

  • No parameter validation on userId

  • No maxSteps limit—agent can loop forever

  • No error boundaries for cascading failures






✅ After: With ESLint Protection



Install and run the linter:




npm install eslint-plugin-vercel-ai-security --save-dev
npx eslint src/






Immediate feedback on every issue:




🔒 CWE-862 OWASP:ASI09 CVSS:7.0 | Destructive tool without confirmation | HIGH
at src/agent.ts:5:5
Fix: Add human-in-the-loop confirmation before execution

🔒 CWE-20 OWASP:ASI02 CVSS:6.5 | Tool parameters not validated | MEDIUM
at src/agent.ts:6:7
Fix: Add Zod schema validation for tool parameters

🔒 CWE-400 OWASP:ASI08 CVSS:5.0 | No maxSteps limit on agent | MEDIUM
at src/agent.ts:3:16
Fix: Add maxSteps option to prevent infinite loops









✅ Fixed Code






import { z } from 'zod';

const result = await generateText({
model: openai('gpt-4'),
maxSteps: 10, // ✅ Prevent infinite loops
tools: {
deleteUser: tool({
parameters: z.object({
userId: z.string().uuid(), // ✅ Validated input
}),
execute: async ({ userId }, { confirmDangerous }) => {
await confirmDangerous(); // ✅ Human-in-the-loop
await db.users.delete(userId);
},
}),
},
});






Result: All warnings resolved. Agent is production-ready.






Setup (60 Seconds)






// eslint.config.js
import vercelAISecurity from 'eslint-plugin-vercel-ai-security';

export default [
vercelAISecurity.configs.strict, // Maximum security for agents
];






Strict mode enforces:




  • ✅ Tool schema validation (Zod)

  • ✅ Human confirmation for destructive actions

  • ✅ maxSteps limits for multi-step workflows

  • ✅ Error handling for cascading failures






Coverage: 9/10 OWASP Agentic Categories



eslint-plugin-vercel-ai-security covers 9/10 OWASP Agentic categories. ASI06 (Memory Corruption) is N/A for TypeScript.



The plugin knows:




  • Which functions are Vercel AI SDK calls

  • Which tools perform destructive operations

  • Whether proper safeguards are in place






The Bottom Line



AI agents are the most powerful—and most dangerous—software we've ever built.



The difference between a helpful assistant and a liability is the guardrails you put in place.



Don't ship agents without them.






Follow me for more on AI security:

LinkedIn | GitHub

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
SOC Incident Playbook: Remote Code Execution (RCE) Defense
Syntax validiert (0 Fehler)
title: Detect Exploitation - Securing AI Agents in the Vercel AI SDK
id: d18ee61b-e3e9-4012-8e9a-dd5ad14f8b92
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "Securing AI Agents in the Verc" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Securing AI Agents in the Vercel AI SDK")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*Securing AI Agents in the Vercel AI SDK*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "Securing AI Agents in the Vercel AI SDK"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich Securing AI Agents in the Vercel AI SDK.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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