Test Your AI Before a Real-World Failure Does

AI that works in a demo can still fail with real users, sensitive data, unexpected requests, or connected business tools.

Independent security and assessment coverage across:

AI security and access controls

Answer quality and hallucinations

Agent permissions and tool use

RAG accuracy and data protection

Production changes and regressions

We test how your AI answers, retrieves information, makes decisions, and takes action so you know what is ready, what is risky, and what needs work.
Get clear findings, real evidence, and a practical plan for improving your AI before the risk becomes real.

Assess Your AI Explore AI Security & Evaluation

Test Your AI Before a Real-World Failure Does

What We Do

AI Security & Assessment for Teams Moving Fast

Move quickly without guessing whether your AI is secure, accurate, or ready for real-world use. We assess the complete AI system, not only the final response.

Catch Hidden Weaknesses, find issues that ordinary software testing may miss

Measure Answer Quality, see when responses are accurate, grounded, relevant, and useful

Control Agent Actions, check what AI can access, remember, change, and send

Test Real Workflows, evaluate the situations your users and teams actually depend on

Prevent Bad Releases, catch regressions after changes to models, prompts, data, or tools

Give Leaders Evidence, turn technical findings into clear business decisions

Our Services

Production-Ready AI, Not Guesswork

Our testing covers how AI follows instructions, retrieves information, handles sensitive data, uses tools, remembers context, and responds when something goes wrong.

AI Security Testing
Find the Openings Before Someone Else Does
Direct and indirect prompt injection
Sensitive data exposure
Excessive permissions and unsafe tool use
Memory manipulation
Weak access controls and missing approval steps
Unauthorized actions
AI Quality & RAG Assessment
See Where the Answers Stop Holding Up
Accuracy, relevance, and hallucinations
Groundedness and instruction following
Response consistency
Retrieval quality
Completeness and safety
Business-specific success criteria
AI Agent Security Assessment
Know What Your Agent Can Do, and Where It Should Stop
Tool and system access, agent permissions
Multi-step decisions and memory behavior
Human approval points and role boundaries
Failure handling and action limits
Connected workflows
Traceability

Case Study

Hidden Risks. Clear Priorities.

What We Found Inside a Live AI Agent

Forward Global partnered with EnGenious to assess an AI agent connected to sensitive client information and operational tools.
We tested how it handled hidden instructions, permissions, memory, external content, tool calls, and sensitive data across realistic workflows.

Our assessment uncovered:

Hidden instructions treated as trusted commands

Permissions that allowed the agent to act beyond its role

Memory that could carry information between contexts

Tool calls that were not properly checked

Personal information that could be retrieved

Limited visibility into what triggered each action

We translated the findings into clear business risks and a prioritized roadmap for strengthening the system before wider deployment.

See How We Helped Forward Global

Why EnGenious

Clear Findings. No Black Box.

Automated Testing + Independent Expert Review

We show you what is happening inside your AI system and what should be fixed first.
Our assessment stack includes Aria, our automated AI evaluation agent, together with Promptfoo, DeepEval, and Langfuse.

What sets us apart:

Assessments based on real business workflows

Security, quality, and reliability in one assessment

Evidence behind every finding

Recommendations engineering teams can use

Independent, vendor-neutral review

Retesting to confirm that fixes work

Support before and after launch

Technology expands coverage. Our specialists validate the findings, assess the business impact, and turn the results into a clear action plan.

Talk to an AI Security Expert

AI Agents & RAG Systems

From Company Knowledge to Answers You Can Rely On

AI agents and RAG systems are valuable only when they retrieve the right information, protect restricted content, and stay within their role. We assess whether:

Answers come from trusted sources

Restricted information remains protected

Users receive permission-aware results

Agents use approved tools only

Assess Your AI Before the Risk Becomes Real

Get clear findings, real evidence, and a practical plan for improving your AI.

Assess Your AI View Our Work

After submitting this form, you'll receive an overview of our assessment methodology and a sample findings report.

Test Your AI Before a Real-World Failure Does

AI Security & Assessment for Teams Moving Fast

Production-Ready AI, Not Guesswork

AI Security Testing

Direct and indirect prompt injection

Sensitive data exposure

Excessive permissions and unsafe tool use

Memory manipulation

Weak access controls and missing approval steps

Unauthorized actions

AI Quality & RAG Assessment

Accuracy, relevance, and hallucinations

Groundedness and instruction following

Response consistency

Retrieval quality

Completeness and safety

Business-specific success criteria

AI Agent Security Assessment

Tool and system access, agent permissions

Multi-step decisions and memory behavior

Human approval points and role boundaries

Failure handling and action limits

Connected workflows

Traceability

Hidden Risks. Clear Priorities.

What We Found Inside a Live AI Agent

Clear Findings. No Black Box.

Automated Testing + Independent Expert Review

From Company Knowledge to Answers You Can Rely On

Assess Your AI Before the Risk Becomes Real

AI Security & Assessment for Teams Moving Fast

Production-Ready AI, Not Guesswork

AI Security Testing

Direct and indirect prompt injection

Sensitive data exposure

Excessive permissions and unsafe tool use

Memory manipulation

Weak access controls and missing approval steps

Unauthorized actions

AI Quality & RAG Assessment

Accuracy, relevance, and hallucinations

Groundedness and instruction following

Response consistency

Retrieval quality

Completeness and safety

Business-specific success criteria

AI Agent Security Assessment

Tool and system access, agent permissions

Multi-step decisions and memory behavior

Human approval points and role boundaries

Failure handling and action limits

Connected workflows

Traceability

Hidden Risks. Clear Priorities.

What We Found Inside a Live AI Agent

Clear Findings. No Black Box.

Automated Testing + Independent Expert Review

From Company Knowledge to Answers You Can Rely On