Agentic AI Security – AI Red Teaming

Secure Autonomous AI Systems with Confidence

Agentic AI systems can make decisions, plan multi-step actions, use external tools, access enterprise data, communicate with other AI agents, and perform tasks with minimal human intervention. While these capabilities unlock significant business value, they also introduce new security risks that traditional cybersecurity assessments cannot adequately address.

Maryvelle provides comprehensive Agentic AI Security services to help organizations identify vulnerabilities, strengthen security controls, and reduce operational risk before autonomous AI systems are deployed into production.

What We Offer

Our Agentic AI Security service evaluates the complete security posture of autonomous AI applications, AI assistants, AI agents, and multi-agent systems. We assess how AI agents interact with users, enterprise data, APIs, third-party services, external tools, memory, and other AI agents to identify weaknesses that could lead to unauthorized actions, sensitive data exposure, or business disruption.

Our assessments combine manual security expertise with advanced AI security testing methodologies to evaluate real-world attack scenarios and provide practical recommendations for improving resilience.

Our Assessment Includes

Agent Behavior Analysis

We evaluate how AI agents make decisions, execute tasks, prioritize objectives, and respond to unexpected situations. Our assessment identifies opportunities where attackers could manipulate agent behavior, bypass intended restrictions, or cause unintended actions.

Permission & Privilege Review

AI agents often receive access to enterprise applications, cloud platforms, databases, messaging systems, and productivity tools. We review permission models to ensure agents operate with the principle of least privilege and cannot perform unauthorized actions if compromised.

Tool & API Security

Modern AI agents frequently interact with APIs, plugins, business applications, and external services. We assess these integrations for excessive permissions, insecure configurations, weak authentication, improper authorization, and opportunities for misuse.

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Prompt Injection Resistance

We evaluate whether malicious prompts, hidden instructions, or external content can influence the agent’s behavior, override system instructions, manipulate decision-making, or trigger unintended actions.

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Memory Security Assessment

Many agentic systems store conversation history, user preferences, retrieved information, and long-term memory. We assess how memory is stored, protected, retrieved, and updated to identify risks such as data leakage, memory poisoning, unauthorized access, or manipulation.

Logging & Monitoring Assessment

We review logging, monitoring, alerting, and audit capabilities to ensure organizations can detect abnormal agent behavior, investigate security incidents, and maintain visibility into autonomous activities.

Autonomous Decision Security

We assess whether autonomous decisions include appropriate safeguards, human approval where necessary, confidence thresholds, policy enforcement, and mechanisms to prevent unsafe or unauthorized actions.

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Multi-Agent Security

For environments where multiple AI agents collaborate, we evaluate communication channels, trust relationships, delegation mechanisms, shared resources, authentication, and the potential for one compromised agent to affect others.

Data Access Controls

We review how AI agents access sensitive information from internal knowledge bases, databases, cloud storage, document repositories, and enterprise systems to verify that confidential information is appropriately protected.

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Identity & Authentication Review

We evaluate how AI agents authenticate to external systems, manage credentials, access tokens, API keys, and service accounts while identifying opportunities to strengthen identity management and reduce credential exposure.

Guardrail & Policy Validation

We verify that safety guardrails, operational policies, business rules, and security controls are functioning as intended and cannot be bypassed through adversarial inputs or unexpected workflows.

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Human Oversight Controls

Where appropriate, we assess approval workflows, manual intervention mechanisms, escalation procedures, emergency shutdown capabilities, and governance processes that allow organizations to retain control over autonomous systems.

Security Risks We Help Identify

Our assessments help organizations identify risks including:

Unauthorized autonomous actions
Excessive agent permissions
Prompt injection attacks
Tool misuse and abuse
API security weaknesses
Sensitive data exposure
Memory poisoning
Credential leakage
Cross-agent manipulation
Privilege escalation
Unsafe autonomous decision-making
Insecure third-party integrations
Business logic abuse
Policy bypass
Insufficient monitoring and auditability

Deliverables

Following the assessment, clients receive a comprehensive report that includes:

Executive summary
Technical findings with risk ratings
Detailed description of identified vulnerabilities
Business impact analysis
Proof-of-concept findings where appropriate
Prioritized remediation recommendations
Best practice guidance
Security improvement roadmap
Executive presentation suitable for stakeholders

Why Choose Maryvelle

Our Agentic AI Security assessments are designed specifically for modern autonomous AI systems rather than traditional software applications. We evaluate the complete AI ecosystem—including reasoning, decision-making, memory, tools, permissions, integrations, and governance—to provide organizations with practical insights that strengthen security while enabling the safe adoption of advanced AI technologies.