AI systems will be tested by users, auditors, regulators, and attackers. Our AI red team services help organizations uncover unsafe behavior, jailbreak vulnerabilities, prompt injection risks, and compliance gaps before deployment. Through structured adversarial testing, evaluation dataset creation, and human-reviewed safety analysis, we help enterprises validate whether AI systems are ready for production use.
As an enterprise AI safety evaluation company, we combine automated threat generation with expert human reviewers to deliver scalable AI red teaming services across LLMs, agentic AI systems, and autonomous workflows. Our approach includes guardrail validation, fairness testing, and compliance-focused risk assessment aligned with enterprise governance requirements.
Organizations that outsource AI red teaming and safety evaluation to DEO reduce deployment risks while maintaining continuous AI improvement and governance readiness.
Our AI safety practice combines automated evaluation pipelines with expert human reviewers to identify vulnerabilities, validate guardrails, and provide actionable findings to improve model reliability.
We conduct structured LLM jailbreak and prompt injection testing service engagements across known attack patterns, indirect prompt injection vectors, role confusion scenarios, and adversarial conversational flows. This service identifies pathways that may bypass safety controls, expose sensitive information, or trigger policy-violating outputs in production environments.
Our AI guardrail testing and validation service evaluates refusal behavior, policy adherence, escalation logic, and response consistency across high-risk prompts. Using multi-reviewer scoring and repeatable evaluation rubrics, we verify whether guardrails operate reliably across customer-facing and internal AI applications.
We provide agentic AI red teaming services for autonomous agents, tool-using copilots, workflow orchestrators, and multi-step reasoning systems. The engagement includes goal manipulation testing, tool misuse simulation, privilege escalation assessment, and AI red teaming for autonomous agents operating across connected enterprise systems.
Our AI bias and toxicity evaluation services use diverse demographic prompts, fairness probes, and scenario-based testing to measure harmful, discriminatory, or inconsistent behavior. We help organizations benchmark safety performance and improve model behavior across sensitive use cases.
Our team performs AI safety benchmarking services, dangerous capability assessments, and governance reviews aligned with enterprise frameworks. We support organizations with evaluations aligned to the NIST AI RMF, EU AI Act readiness, and applicable AI governance guidance.
By combining AI-assisted evaluation with structured human oversight, our delivery model helps enterprises scale safety testing, strengthen governance, and accelerate AI release readiness.
Every high-risk finding undergoes expert review through our human-in-the-loop AI red teaming services framework, reducing false positives and improving evaluation reliability for enterprise deployment decisions.
Our automated evaluation pipeline generates baseline adversarial tests at scale while preserving human oversight for novel attack discovery.
We support ongoing releases through continuous AI monitoring and evaluation service workflows, enabling organizations to detect safety regressions and emerging vulnerabilities across model versions.
Our evaluations produce structured artifacts, risk classifications, and audit-ready documentation that help enterprises strengthen governance reviews, vendor assessments, and regulatory readiness initiatives.
We assess model scope, deployment context, threat exposure, compliance requirements, and business objectives to define evaluation priorities and measurable safety benchmarks.
Our platform generates baseline adversarial prompts, jailbreak patterns, prompt injection vectors, and fairness probes for agentic AI evaluation using 90% automation workflows.
Specialized reviewers execute novel attacks, cultural context manipulation, domain-specific exploits, and conversational pressure testing that automated tools typically miss.
Responses are scored against custom rubrics, safety policies, fairness criteria, and business rules using AI-powered exploitability assessments that are validated by human reviews.
We classify findings by severity, map risks to governance controls, and evaluate alignment with enterprise AI safety and compliance requirements.
Clients receive prioritized remediation guidance, vulnerability reports, safety scorecards, and remediation recommendations for model releases.
Working with DEO has been a great experience. They quickly adapted to our line of business, consistently performed well, and by going beyond their duty, proven to be a wonderful and reliable partner."
I'm more than pleased with the overall experience and the way the project has turned out. I've been recommending DEO to everyone I know, and my future projects are definitely for DEO"
We are most pleased and satisfied with our DataEntryOutsourced team. Outsourcing has provided us great benefits and DEO has proven to be the right outsourcing partner. We would further outsource other business processes to DEO."
Partner with DEO to identify vulnerabilities, validate guardrails, and strengthen AI safety before production deployment. Our AI red team services support LLMs, AI copilots, agentic AI systems, and RAG applications through structured adversarial testing, risk assessment, and governance-ready reporting. Whether you need a one-time security assessment or continuous red teaming across model releases, our experts help you deploy enterprise AI with greater confidence.
866-405-2607
