AI Detection & Response for the agentic era

Meet Aptori AIDR.

Aptori AIDR is AI Detection & Response built to stop AI breaches before impact. It protects every prompt, every agent, and every workflow with runtime validation, policy enforcement, prompt capture, sensitive data protection, and real-time blocking of prompt attacks.

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Stop AI breaches

Protect every prompt and agent

Block prompt attacks in real time

Stop sensitive data leaks

What it is

A unified place to secure the agentic era

AIDR brings together the security signals that matter for AI-native applications. It helps teams understand how prompts, models, APIs, tools, workflows, and runtime behavior interact, then validates what is truly exploitable and what should be fixed first.

Coverage

What AIDR secures

AIDR is designed for the risks introduced by modern AI applications, agentic systems, and AI-accelerated development.

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AI Applications

Validate prompt paths, output handling, data exposure, and unsafe AI behavior in modern AI-native applications.

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Agentic Workflows

Protect tool invocation, workflow composition, permissions, and chained execution paths in autonomous agent systems.

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Application and API Layers

Correlate AI-layer risk with the APIs, services, and runtime systems that actually execute business logic.

Runtime-driven AI security

Why AI security must be validated at runtime

AI systems do not behave like static software. Risk emerges through prompts, tool use, model outputs, agent decisions, and dynamic workflow composition.

Validate prompt injection and unsafe prompt flows

Inspect tool invocation and agent permissions

Reduce data leakage and insecure output handling

Prove what is actually exploitable in running systems

One AI security workflow

From guardrails to deterministic remediation

AIDR combines runtime validation, AI Security Engineer adversarial testing, and remediation guidance into a single operational model.

Guardrails for AI inputs and outputs

Adversarial testing for agentic workflows

Runtime validation of AI-connected APIs and services

Developer-ready remediation with verified exploit evidence

APTORI AIDR

AI Detection & Response for the agentic era

AI systems are already under attack. Adversaries are exploiting prompt injection, tool abuse, and agent misalignment to bypass controls and access sensitive data. At the same time, organizations are losing control as employees adopt agents and engineers rapidly build agentic workflows faster than governance can keep up.

The problem

Prompt injection and jailbreak attacks bypass controls

Uncontrolled agent actions lead to unintended behavior

DIY AI adoption creates invisible attack surfaces

Sensitive data exposure through prompts and outputs

The outcome

Stop AI breaches before impact

Protect every prompt, agent, and workflow

Continuously validate real AI behavior

Move from monitoring to active control

Capture Every Prompt

Full auditability and traceability of prompt flows across the system for visibility and forensics.

Block Prompt Attacks

Detect prompt injection, jailbreak attempts, and malicious instructions before execution.

Deterministic Response

Correlate AI behavior with application and API risk and drive precise remediation actions.

Red Teaming for Models, Agents, and MCPs

Continuously test how AI systems fail before attackers do

Aptori AIDR extends beyond monitoring and policy enforcement. It supports continuous red teaming for models, agents, and MCP-connected systems to uncover prompt injection paths, unsafe tool use, privilege escalation, data leakage, and workflow abuse under realistic runtime conditions.

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Models

Test prompt handling, jailbreak resistance, unsafe output behavior, sensitive data exposure, and model-connected API abuse in realistic adversarial scenarios.

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Agents

Validate how autonomous agents make decisions, invoke tools, traverse workflows, and handle permissions when exposed to malicious or manipulative inputs.

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MCPs

Red team Model Context Protocol integrations to uncover unsafe tool chaining, over-permissive access, hidden trust assumptions, and risky execution paths.

What AIDR validates

Prompt injection and instruction override attacks

Unsafe tool invocation and chained tool misuse

Privilege escalation across agents and connected systems

Sensitive data exposure through prompts, outputs, memory, and tools

Why it matters

Move from passive AI monitoring to active adversarial validation

Find exploit paths before they become operational incidents

Build confidence in models, agents, and MCP-connected workflows before production rollout

Operationalize secure-by-design for the agentic era

Outcomes

What teams gain with AIDR

AIDR helps organizations move from fragmented AI security efforts to validated runtime assurance.

Full AI Visibility

Capture and analyze every prompt, response, and agent action across models, tools, APIs, and workflows.

Controlled AI Behavior

Enforce policy-based controls on prompts, tools, and access. Prevent unsafe actions and privilege escalation.

Zero Data Leakage

Detect and block sensitive data exposure through prompts, outputs, and agent workflows in real time.

Security teams

Gain one place to validate AI-related risk, prioritize true exposure, and focus on what is actually exploitable.

Engineering teams

Receive precise guidance for fixing AI-app, agentic, API, and runtime issues without adding friction to delivery.

Leadership

Move toward secure AI adoption with better runtime assurance, fewer blind spots, and stronger operational confidence.

FAQ

Questions leaders ask about AIDR

What is AIDR?

Aptori AIDR is a unified security layer for AI-native applications and agentic systems that combines runtime validation, adversarial testing, guardrails, and remediation.

Does it only secure models?

No. It secures the broader system, including prompts, tools, workflows, APIs, outputs, and runtime behavior around AI-enabled applications.

How is it different from basic AI guardrails?

Guardrails alone are not enough. AIDR validates runtime behavior, tests exploitability, and connects findings to deterministic remediation.

Can it help with agentic applications?

Yes. It is specifically designed to help secure agentic workflows where tools, permissions, data paths, and chained execution introduce dynamic risk.

Call to action

See AIDR in action.

See how Aptori helps your team secure AI-native applications and agentic systems with runtime truth.

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