Agent AST secures how AI systems interact with tools, systems, and real-world operations.
Agent AST - Autonomous & Agentic AI Security Testing
Securing AI systems that don’t just think but actAI has evolved beyond generating responses to taking real-world actions, such as modifying infrastructure, approving workflows, and triggering automated remediations with minimal human oversight. These agentic AI systems introduce a new class of risk that traditional application security testing cannot detect. Entersoft’s Agent AST is purpose-built to secure AI systems that reason, decide, and act, preventing unauthorized or dangerous actions across enterprise environments.What Is Agent AST?
Agent AST is a specialized security testing discipline under Entersoft’s AI Application Security Testing (AIAST) framework.
- LLM AST secures how models reason and respond
- RAG AST secures how models retrieve and consume data
It evaluates whether an AI agent can be:
- Coerced into executing unauthorized actions
- Manipulated through indirect prompts or tool responses
- Abused to trigger infinite or costly execution loops
Why Agentic AI Requires Dedicated Security Testing
Agent-based AI systems operate with:
Execution privileges
Tool integrations
Decision autonomy
Minimal human intervention
Trigger unauthorized infrastructure changes
Leak sensitive data through automated workflows
Agent AST exists to test these risks before they reach production.
How Agent AST Works
Agent AST begins by establishing a deep understanding of what your AI agent is authorized to do—and, more importantly, what it must never do. By mapping intended behavior against real-world execution paths, Agent AST identifies how autonomous and agentic AI systems can be misused, manipulated, or pushed beyond their designed boundaries.
Inputs & Decision Logic
Analyzes how the AI processes prompts, context, and data to detect manipulation, logic bypass, and unsafe decision-making.
Tool Access & Permissions
Validates that AI agents operate within strict permission boundaries and cannot misuse or overreach authorized tools.
Execution Paths & Fail-Safes
Tests how decisions become actions, ensuring guardrails, approvals, and fail-safes prevent harmful execution.
Behavior Override Testing
Simulates attempts to coerce or override intended AI behavior, policies, and safety controls.
Tool Integration Abuse
Identifies risks where connected systems and APIs can be exploited through the AI agent.
Unintended Actions
Uncovers scenarios where agents trigger destructive, unauthorized, or high-impact actions unintentionally.
Built for Enterprise AI Governance
Agent AST is designed to support enterprise-grade governance by aligning with leading AI security, risk, and compliance frameworks. It helps organizations demonstrate control, accountability, and regulatory readiness for autonomous and agentic AI systems.
- OWASP LLM Top 10: Addresses risks such as excessive agency and prompt injection by testing how AI agents can be manipulated into unsafe actions.
- NIST AI Risk Management Framework (AI RMF): Supports risk identification, measurement, and mitigation across the AI lifecycle, from design to deployment and operation.
- ISO/IEC 42001 and ISO/IEC 23894: Enables alignment with emerging global standards for AI management systems, governance, risk, and trustworthiness.
Key Agentic AI Risks We Test
Agent AST focuses on risks unique to autonomous AI systems, including:
- Prompt-to-action manipulation that alters execution behavior
- Tool abuse via malicious inputs or responses
- Privilege escalation across integrated systems
- Unauthorized actions triggered without approval
- Infinite execution loops causing operational or financial damage
These risks are invisible to traditional SAST, DAST, and API testing.
Beyond Tools: Securing the Execution Layer
Agent AST evaluates not only the agent logic, but the entire execution ecosystem, including:
- Tool API permissions and scopes
- Approval workflows and human-in-the-loop controls
- Rate limits and execution safeguards
- Logging, traceability, and rollback mechanisms
This ensures that even when agents act autonomously, control is never lost.
Why Enterprises Choose Entersoft for Agent Security Testing
Organizations trust Entersoft because we combine
Offensive Security Depth
Real-world attacker expertise applied to AI agent threats.
Automation Experience
Hands-on security testing for autonomous and automated systems.
Audit-Ready Reporting
Framework-aligned findings built for compliance and audits.
Actionable Remediation
Clear, practical fixes tailored to live environments.
When Do You Need Agent AST?
Agent AST is essential if your AI system:
Executes tasks autonomously without continuous human involvement.
Seamlessly connects with enterprise systems, APIs, and external services.
Accesses sensitive resources using higher-level permissions.
Accelerates decisions by minimizing manual review steps.
