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aws-agents-for-devsecops — agentic threat model

8.5AIVSS 8.5 · High

This agent possesses high risk due to its multi-agent architecture and deep integration into AWS DevOps and security infrastructure, where compromise could lead to unauthorized penetration testing, code manipulation, or cloud-wide privilege escalation.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 9.8AARS uplift 0.15Factor sum 7.0/10Threat ×1.1Mitigation ×0.85
Autonomy of Action
0.80
Goal-Driven Planning
0.80
Self-Modification
0.20
Dynamic Tool Use
0.90
Persistent Memory
0.50
Contextual Awareness
0.80
Dynamic Identity
0.80
Multi-Agent Interactions
0.90
Non-Determinism
0.70
Opacity & Reflexivity
0.60

Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.

MAESTRO 7-layer threat model

Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — likely utilizes Amazon Bedrock foundation models. Threats include prompt injection attacks that could bypass safety guardrails, causing the agent to execute destructive actions during automated penetration testing.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — likely ingests source code, vulnerability reports, and AWS environment configurations. Threats include data poisoning of the codebase or log manipulation to mislead incident investigation subagents.

L3 · Agent Frameworks✓ mapped

Orchestrates actions across AWS DevOps and Security subagents using MCP/tooling. Threats include tool misuse, where the agent is manipulated into executing unauthorized pen-testing commands or exfiltrating code via DevOps tools.

L4 · Deployment & Infrastructure✓ mapped

Deployed within the AWS ecosystem, interacting directly with cloud infrastructure. Threats include container compromise or lateral movement if the agent's execution environment is breached during UAT or pen-testing tasks.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — likely relies on standard AWS CloudWatch and CloudTrail logging. Threats include logging evasion or blind spots regarding the reasoning steps of the subagents during an incident investigation.

L6 · Security & Compliance (cross-cutting)✓ mapped

Governed by AWS IAM policies and security controls. Threats include privilege escalation if the agent is granted overly permissive IAM roles to perform its wide-ranging DevOps and security tasks.

L7 · Agent Ecosystem✓ mapped

Features a multi-agent ecosystem involving the AWS DevOps Agent and AWS Security Agent. Threats include agent-to-agent trust abuse, where a compromise of the DevOps agent allows it to feed malicious inputs to the Security agent, causing cascading failures.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).