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Agentic Security Explorer (ASE)

Learn Agentic Attack Surfaces, Risks, and Business Impact

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Agentic Security Explorer (ASE)

Explore the agentic AI attack surface

Agentic Security Explorer (ASE) helps practitioners, leaders, students, and risk teams understand how autonomous agent systems are composed, where risks emerge, how failures chain across components, and what business impacts matter.

ASE is aligned with the Secure Agent Trust Framework (SATF), a vendor-neutral framework for autonomous agent governance and contextual security.

Clean ASE wheel showing the agentic AI ecosystem

What You'll Learn with ASE

Components → Threats → Incident Chains → Business Impact

Annotated ASE wheel connecting components, threats, incident chains, and business impact

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ASE helps users explore 50+ agentic AI risks, realistic incident chains, and business outcomes across a layered agentic system model.

Layers & Components

Explore agents, memory, tools, identity, runtime, and TrustOps layers.

Threat Catalog

Understand what can go wrong across the agentic attack surface.

Incident Chains

See how individual weaknesses compound into larger attack paths.

Business Impact

Connect technical risks to operational, financial, regulatory, and reputation outcomes.

Ask ASE Preview

A lightweight preview assistant for common agentic AI security questions. Framework mapping stays optional.

Security Patterns

ASE v1.2 introduces framework-neutral security patterns. Optional framework mappings can be added later as overlays.

Input & Context Validation

Validate user input, retrieved context, and agent messages before decisions or actions.

Tool Governance

Constrain tool usage with authorization, allowlists, validation, and approval gates.

Runtime Monitoring

Observe, contain, and interrupt unsafe behavior during live execution.

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