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Stop AI Threats Where They Actually Happen
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Stop AI Threats Where They Actually Happen: Runtime

See and stop AI driven threats by mapping and analyzing how agents, models, and tools behave in production.
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Meet the New Standard in AppSec:

See the Full AI Runtime Attack Surface

Miggo maps agents, models, tools, behavior, and data access so security teams can detect and stop threats in real time.
What is ADR?
Application Detection and Response (ADR) platforms record, baseline, and monitor both 1st and 3rd-party application behaviors, using security observability to detect anomalies and threat exposure at runtime. ADRs instantly block malicious activity while providing context-rich evidence and tailor actionable response guidance.

AI Runtime Observability

Gain continuous visibility into how AI systems operate in production. By generating a Runtime AI Bill of Materials (AI BOM), the platform maps active agents, models, tools, and data access paths while analyzing real execution behavior. This runtime view exposes shadow AI expansion, unauthorized model changes, and evolving system interactions before they introduce risk.
Application topology showing internet connection branching to Java, Cloudflare, and Node.js services, with connections to third-party integrations including Stripe, Salesforce, and a service marked with PII tags, and an alert highlighting a new third-party connection with PCI/PII data access.

AI Threat Detection

Identify AI native attacks as they emerge.
Detect prompt injection and adversarial inputs targeting models
Identify malicious or abnormal tool invocation by agents
Surface compromised models or unsafe execution patterns
Detect anomalous agent behavior across the runtime environment
Alert view showing application graph with warning indicators on connected services, highlighting an active threat path from internet through internal services to a data endpoint.

AI Threat Response

Contain threats and enforce safe AI behavior.
Enforce guardrails for model usage, tool access, and data permissions
Block unsafe actions triggered by agents or models
Rapidly contain AI driven incidents before they escalate
Provide security teams with clear response actions