Detects threats from autonomous agent systems operating with insufficient constraints on decision-making, action scope, or operational boundaries, including excessive autonomy, goal misalignment, and cascading multi-agent failures.
Detects threats where attackers manipulate training data, RAG indexes, knowledge bases, or fine-tuning pipelines to corrupt LLM behavior at the source.
STRIDE denial of service threat agent that detects availability degradation threats against Processes, Data Stores, and Data Flows, covering resource exhaustion, algorithmic complexity attacks, connection pool exhaustion, and cascading dependency failures.
STRIDE information disclosure threat agent that detects confidentiality violations against Processes, Data Stores, and Data Flows, covering error message exposure, excessive data in responses, data at rest and in transit exposure, and side-channel leakage.
Detects threats where attackers attempt to steal, replicate, or extract proprietary model assets through weight exfiltration, API-based extraction, artifact exposure, side-channel attacks, and supply chain compromise.
STRIDE elevation of privilege threat agent that detects unauthorized privilege gain against Processes, covering broken access control, insecure direct object references, role escalation, multi-tenancy boundary violations, and lateral movement.
Detects prompt injection vulnerabilities in LLM-integrated components, including direct injection, indirect injection via RAG pipelines, jailbreaking, system prompt extraction, and cross-plugin injection attacks.
STRIDE tampering threat agent that detects unauthorized data modification threats against Processes, Data Stores, and Data Flows, covering input injection, data flow manipulation, persistent data corruption, and supply chain attacks.
Transforms structured threat model output into visual infographic specifications and images via Gemini API. Supports multiple templates: Baseball Card (risk summary dashboard) and System Architecture (annotated architecture diagram with attack surface badges).
Transforms structured threat model output into a narrative threat report with executive summary, Mermaid attack trees for Critical and High findings, prioritized remediation roadmap with effort estimates, and complete finding traceability.
Detects threats from agentic systems invoking external tools, MCP servers, plugins, or APIs, including unauthorized tool invocation, capability escalation through tool composition, parameter injection, and tool poisoning attacks.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: