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ARES / SHADOW AI

Hunt the AI you can’t see. Expose what it can do.

Hunt the AI you can’t see. Expose what it can do.

Hunt the AI you can’t see. Expose what it can do.

Ares hunts for AI across your reachable attack surface, interrogates supported interfaces, and validates the exposures an adversary could exploit. MITRE ATLAS mapping connects the evidence to the techniques behind the threat.

EVIDENCE BEFORE ACTION

Exposed models, overprivileged agents, and retrieval stores.

ARES / SHADOW AI EXPOSURE VALIDATION

Unseen AI. Real exposure.

Find the interface. Test the boundary. Follow the evidence.

Investigate supported AI services across your authorized attack surface. Test prompt, retrieval, data-access, and tool boundaries using the capabilities you enable.

Review observed behavior and available evidence, with MITRE ATLAS context where applicable. Discovery alone is not proof of vulnerability or permission for every interaction.

Explore Ares

01

ARES / SHADOW AI EXPOSURE VALIDATION

Unseen AI. Real exposure.

Find the interface. Test the boundary. Follow the evidence.

Investigate supported AI services across your authorized attack surface. Test prompt, retrieval, data-access, and tool boundaries using the capabilities you enable.

Review observed behavior and available evidence, with MITRE ATLAS context where applicable. Discovery alone is not proof of vulnerability or permission for every interaction.

Explore Ares

01

ARES / SHADOW AI EXPOSURE VALIDATION

Unseen AI. Real exposure.

Find the interface. Test the boundary. Follow the evidence.

Investigate supported AI services across your authorized attack surface. Test prompt, retrieval, data-access, and tool boundaries using the capabilities you enable.

Review observed behavior and available evidence, with MITRE ATLAS context where applicable. Discovery alone is not proof of vulnerability or permission for every interaction.

Explore Ares

01

THE ARES METHOD

Workflow

Workflow

Workflow

Build the assessment around how your environment operates.

01

Pick the surface

Choose the supported AI service or interface you want to investigate.

01

Pick the surface

Choose the supported AI service or interface you want to investigate.

02

Pick your targets

Define authorized endpoints and network access. Provide the identities and credentials needed for the assessment.

03

Configure the run

Enable the prompt, retrieval, data-access, and agent-tool checks appropriate to your target.

04

Review it

Confirm scope and supported interactions. Finding a service does not authorize every test.

05

Launch

Launch and review the evidence with MITRE ATLAS context.

Five steps. One controlled assessment.

Cybersecurity product display interface

DISCOVER · INTERROGATE · VALIDATE

Capabilities

Find the AI services your inventory missed. Investigate what their interfaces expose.

Ares connects discovery and inventory reconciliation with authorized testing of inference endpoints, prompts, agent tools, retrieval paths, and identity boundaries. The capabilities below show how a reachable service becomes an evidence-led investigation, not just another entry in a register.

Read more

DISCOVER · INTERROGATE · VALIDATE

Capabilities

Find the AI services your inventory missed. Investigate what their interfaces expose.

Ares connects discovery and inventory reconciliation with authorized testing of inference endpoints, prompts, agent tools, retrieval paths, and identity boundaries. The capabilities below show how a reachable service becomes an evidence-led investigation, not just another entry in a register.

Read more

DISCOVER · INTERROGATE · VALIDATE

Capabilities

Find the AI services your inventory missed. Investigate what their interfaces expose.

Ares connects discovery and inventory reconciliation with authorized testing of inference endpoints, prompts, agent tools, retrieval paths, and identity boundaries. The capabilities below show how a reachable service becomes an evidence-led investigation, not just another entry in a register.

Read more

01 / DISCOVERY & RECONCILIATION

Find the service behind the endpoint.

Identify supported AI surfaces from service responses, protocols, headers, and model-catalogue shapes. Discover Ollama instances, OpenAI-compatible APIs, LLM gateways, MCP endpoints, and agent interfaces. Reach internal inference services, vector stores, model registries, notebooks, and orchestrators through campaign agents.

02 / DISCOVERY & RECONCILIATION

Separate known AI from Shadow AI.

Compare discovered endpoints with the AI inventory you provide and investigate unmatched services. A properly authenticated service can still be absent from your register; a registered service can still expose sensitive data. Ares separates what exists, what you have declared, and what is exposed.

03 / DISCOVERY & RECONCILIATION

Follow changes across assessments.

Scheduled attack-surface campaigns help teams revisit the estate as it changes. Compare observations, investigate newly discovered services, and reassess known exposures after remediation.

04 / AUTHORIZED AI RED TEAMING

Can a stranger use your inference service?

Identify anonymously reachable model catalogues and inference interfaces. Test supported endpoints for missing authentication and observable gaps in usage controls.

05 / AUTHORIZED AI RED TEAMING

Can a prompt cross the trust boundary?

Probe for prompt injection, system-prompt disclosure, and manipulated behavior. Examine whether untrusted input can influence an assistant beyond the task or access its operator intended.

06 / AUTHORIZED AI RED TEAMING

Can the agent misuse its tools?

Interrogate supported MCP interfaces and agent tool boundaries. Enumerate exposed capabilities and test permitted interactions for authorization failures, tool-information disclosure, and data exposure.

07 / AUTHORIZED AI RED TEAMING

Can retrieval disclose what it should protect?

Test supported retrieval paths and HTTP-accessible vector stores for exposed collections and bounded document access. Where explicitly enabled, use marked content to investigate indirect prompt injection and observe what happens when that content is retrieved.

08 / AUTHORIZED AI RED TEAMING

Does one identity reach another identity’s data?

Use authorized identities to investigate data-scope and access-control boundaries. Stored credentials and interactive login can extend assessment into supported authenticated applications, including those behind an identity provider.

09 / AUTHORIZED AI RED TEAMING

Can an exposed endpoint become an unmetered resource?

Assess observable rate-limit and cost-control gaps with bounded probes. Report what the endpoint allowed without needing to exhaust the service or run up an inference bill to prove the risk.

10 / DEFENDER-LED RESPONSE

Support interdiction with proof.

Bring together the affected endpoint, observed behavior, captured evidence, severity, and attack-technique context. Defenders apply containment through their own security and infrastructure controls, then reassess to validate the change.

From unknown endpoint to a defensible decision.

From unknown endpoint to a defensible decision.

ASSESSMENT WORKFLOW / NOT A PERFORMANCE METRIC

01

Discover

Map the reachable surface and identify supported AI services from observed evidence.

02

Reconcile

Compare discovered endpoints with your AI register. Investigate what is known, missing, or newly exposed.

03

Interrogate

Launch an authorized assessment with the identities, modules, and access appropriate to the target.

04

Validate

Review findings and their evidence, with MITRE ATLAS context and the limits of what was tested.

05

Contain and reassess

Apply the appropriate response through your existing controls, then test again to evaluate the result.

MITRE ATLAS support, connected to the assessment.

MITRE ATLAS support, connected to the assessment.

MITRE ATLAS is a living knowledge base of adversary tactics and techniques involving AI. Ares connects supported findings to recognizable adversary techniques using the probe, finding type, and assessment vantage.

Investigation

Relevant MITRE ATLAS technique

Can untrusted instructions redirect AI behavior?

LLM Prompt Injection, AML.T0051

Can a probe extract the assistant’s system prompt?

Extract LLM System Prompt, AML.T0056

Can an assistant be induced to invoke a function beyond its intended boundary?

AI Agent Tool Invocation, AML.T0053

Does an interface disclose agent tools or their definitions?

Discover AI Agent Configuration, AML.T0084

Can retrieval expose credentials from indexed material?

RAG Credential Harvesting, AML.T0082

Can an internal vector store disclose document content?

RAG Databases, AML.T0085.000

Does an inference endpoint expose an observable cost-control gap?

Cost Harvesting, AML.T0034

Mappings depend on the evidence and access available. These examples do not imply that every technique is reachable in every engagement.

AVAILABLE

A supported probe exists.

EXERCISED

The probe ran with the access provided.

EVIDENCED

A finding was produced and tied to observed behavior.

A completed probe with no finding does not establish that a system is secure. An unreachable service is a coverage gap that needs attention.

Explore the ATLAS matrix, technique context, mitigations, and attributed incident stories. Supported report views and Navigator-layer exports carry coverage information into assessment discussions. The evidence remains specific to your environment.

Four ways to reach the AI attack surface.

Four ways to reach the AI attack surface.

Assessment vantage

What it brings into view

Internet

Publicly reachable chat interfaces, inference APIs, gateways, and exposed AI services

Internal campaign agent

Reachable internal AI infrastructure, supported vector-store interfaces, model services, and agent platforms

Connected repository

AI-related code and configuration, model artifacts, dependency risks, and prompt-construction logic

Mobile build

Bundled models, AI runtimes, SDK evidence, and supported AI interactions observed during application assessment

Credentials, enabled modules, supported protocols, and network reach determine what can be tested. Connecting another vantage can reveal parts of the AI system that an external assessment cannot observe.

Support interdiction with proof.

Support interdiction with proof.

An asset name tells you where to look. A reproduced exposure tells you what needs to change.

Ares brings together the affected endpoint, observed behavior, captured evidence, severity, and relevant attack-technique context. Your defenders can use that evidence to decide whether to restrict access, remove an exposure, rotate a credential, narrow an agent’s permissions, or isolate a service through the controls they operate.

Then run the assessment again to validate the change.

Discover the service. Prove the exposure. Give defenders a path to containment.

Ares supports interdiction through discovery and adversarial validation. Containment actions are carried out through your organization’s security and infrastructure controls.

Frequently asked questions

TALK TO ASSAIL

Bring Shadow AI into the crosshairs.

Find services outside your register and investigate their boundaries with evidence your defenders can act on.

Your environment. Your objectives. A mission built around both.

https://api.peec.ai/agent-analytics/generic-access-log