Attack Correlation Engine

Attack Graph

Map and correlate model actions back to security boundaries. Visualize the actual path a jailbreak takes through prompt layers, tools, and databases.

Active Vulnerabilities

Select which vulnerabilities are active in the target codebase to trace exploit correlations.

Prompt Injectioncritical

src/agent.ts

Command Injectioncritical

src/tools.ts

Hardcoded API Tokenhigh

.env.production

Insecure MCP Tool permissionshigh

mcp-config.json

CORRELATED EXPLOIT PATH GRAPH

No active exploit paths detected. Select active vulnerabilities in the left panel to trace paths.

Select a node in the graph to view mitigation plan.

Key Components

Correlation Engine

Automatically parse logs across container instances to connect database query requests to parent prompt template variables.

Risk Scoring

Calculate dynamic posture risk scores based on asset isolation, credential exposure, and active rule enforcement status.

Continuous Posture Checks

Continuously scan the model pipelines for OWASP LLM Top 10 vulnerabilities and map actions to MITRE ATLAS threat profiles.

Product FAQ

How is the attack graph constructed?

CipherNest constructs the attack graph by analyzing static file integrations, tracking runtime data flows, and monitoring active Model Context Protocol (MCP) server scopes.

What is OWASP Top 10 for LLMs?

A baseline standard highlighting the most critical security vulnerabilities found in Large Language Model applications, including Prompt Injection and Data Poisoning.

Does the Attack Graph require active agent instrumentation?

Yes. Ingestion of telemetry data is enabled by deploying lightweight SDK components or using our sandboxed API proxy gateway.

Get started

Secure your AI platform
before attackers do.

Join the private beta to deploy the unified AI-native security platform across your code, agents, MCP ecosystems and runtime. Or book a live walkthrough with the founding team.

Talk to founder