Threat T4
Resource Overload
Overwhelming external services through excessive API calls or resource consumption, potentially causing denial of service or excessive costs.
- 6/10 risk (High)
- 6 attack vectors
- 3 mitigating controls
- 9 framework refs
Overview
- Impact level: Medium
- Risk score: 6/10 (High)
- CIA impact: Availability
- Affected components: External Environment Interface (KC6.1-KC6.3)
- Tags: resources, denial-of-service, rate-limiting, costs, performance
- Source: OWASP Agentic AI T&M v1.1 (2025-12)
Attack vectors
How attackers carry out resource overload against an agentic system.
| Attack vector | Severity | Example |
|---|---|---|
| API Rate Limit Exhaustion | Medium | Flooding external APIs with requests to cause service denial |
| Compute Resource Exhaustion | Medium | Overwhelming agent processing power with complex tasks |
| Memory Consumption Attack | Medium | Causing agent to consume excessive memory resources |
| Concurrent Task Flooding | High | Triggering multiple resource-intensive operations simultaneously |
| Cost Amplification Attack | Medium | Exploiting pay-per-use services to generate excessive costs |
| Feedback Loop Exploitation | Medium | Creating recursive operations that consume resources |
Affected components
KC6 Operational Environment (Agencies)
- KC6.1 API Access
- KC6.1.1 Limited API Access
- KC6.1.2 Extensive API Access
- KC6.2 Code Execution
- KC6.2.1 Limited Code Execution Capability
- KC6.2.2 Extensive Code Execution Capability
- KC6.3 Database Execution
- KC6.3.1 Limited Database Execution Capability
- KC6.3.2 Extensive Database Execution Capability
- KC6.3.3 Agent Memory or Context Data Sources (RAG)
- KC6.4 Web Access Capabilities (Web-Use)
- KC6.5 Controlling PC Operations (PC-Use)
- KC6.6 Operating Critical Systems
- KC6.7 Access to IoT Devices
Mitigating controls
Controls from the catalog that reduce the likelihood or impact of T4.
M2 Tool Sandboxing & Isolation
Implement defense-in-depth isolation for tool execution environments using containerization, virtualization, and strict resource controls to prevent tool misuse, contain breaches, and prevent unexpected code execution.
M9 Distributed Resource Management & Rate Limiting
Implement multi-layer resource controls with intelligent quotas, circuit breakers, cost management, and distributed rate limiting to prevent resource exhaustion, financial damage, and denial of service attacks while maintaining system performance.
M14 Runtime Security Controls & Sandboxing
Implement comprehensive runtime security controls including advanced sandboxing, execution monitoring, and dynamic security policy enforcement to prevent unexpected code execution and contain security breaches in real-time.
Framework mappings
OWASP Top 10 for Agentic Applications
Cisco AI Security Taxonomy
OWASP AIVSS core risks
- AIVSS #2 Agentic AI Tool Misuse AIVSS 9.9 (Critical)
- AIVSS #8 Agent Memory and Context Manipulation AIVSS 8.9 (High)
- AIVSS #1 Agent Orchestration and Multi-Agent Exploitation AIVSS 10.0 (Critical)
- AIVSS #5 Agent Cascading Failures AIVSS 9.4 (Critical)
- AIVSS #7 Insecure Agent Critical Systems Interaction AIVSS 9.2 (Critical)
- AIVSS #10 Agent Goal and Instruction Manipulation AIVSS 7.1 (High)
OWASP AISVS
Chapters cited by the mitigating controls: C2 Input Validation, C4 Infrastructure, Configuration & Deployment Security, C9 Orchestration & Agentic Security, C10 Model Context Protocol (MCP) Security, C11 Adversarial Robustness, C12 Monitoring, Logging & Anomaly Detection.
Requirements: C9.1.1, C9.3.1, C9.3.3, C9.3.4, C9.3.5, C9.3.6, C9.3.9, C4.1.1, C10.1.3, C9.1.2, C9.1.3, C11.2.2, C12.2.5, C2.1.4, C4.1.2, C4.1.3, C4.3.3, C9.3.8, C9.6.1.
References
Source: OWASP Agentic AI – Threats and Mitigations 1.1 (Dec 2025) · retrieved 2026-11