Grounding Enterprise Assistants Without Overclaiming
How to design retrieval-backed assistants that show their work, respect access controls, and stay honest when the corpus does not contain an answer.
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We evaluate AI systems defensively—through structured threat modeling, controlled testing, and remediation planning. Engagements assess prompt-injection exposure, data leakage, unsafe behavior, agent and tool misuse, access-control gaps, and incident readiness. The goal is clearer risk visibility and prioritized fixes, not attack recipes.
A prioritized view of AI security, safety, and operational risks with remediation guidance.
These are the patterns we hear most often before an engagement begins.
What we bring to the engagement and what you can expect to leave with.
AI threat modeling
Map assets, trust boundaries, user roles, tools, and abuse paths so testing focuses on realistic enterprise risk.
Prompt-injection and abuse evaluation
Test how systems handle adversarial or malformed inputs that attempt to override instructions or policy.
Data leakage evaluation
Assess whether sensitive training, retrieval, session, or system information can surface inappropriately in outputs.
Unsafe behavior and tool-misuse testing
Evaluate agent and tool pathways for unauthorized actions, over-scoped permissions, and missing human gates.
Access control, logging, and incident readiness review
Review authorization boundaries, auditability, alerting, and response readiness for AI-specific failure modes.
Illustrative flow for how this service typically connects people, systems, and controls—adapted to your landscape during engagement.
We match the model to scope, risk, and how much ownership you want to retain internally.
Service work follows the same four-phase path used across Express Global Solutions engagements.
01
Understand the opportunity
Stakeholder workshops, current-state assessment, business goals, risk review, data and platform readiness.
02
Architect the solution
Experience design, target architecture, delivery roadmap, controls, success measures, and implementation plan.
03
Build and launch
Iterative implementation, demonstrations, testing, documentation, knowledge transfer, and production release.
04
Operate and improve
Observability, performance, security improvement, adoption support, model or platform evaluation, and continuous enhancement.
Representative tools and platforms we work with in this domain—selected based on your existing stack and constraints.
How to design retrieval-backed assistants that show their work, respect access controls, and stay honest when the corpus does not contain an answer.
Read article →No. We perform defensive evaluation: structured threat modeling, controlled testing, and remediation planning. We do not provide exploit instructions or attack playbooks. Findings are framed so your teams can harden systems responsibly.
Ideally before production launch for new AI features, and again after major changes to tools, permissions, retrieval sources, or model providers. It also helps when an existing assistant is expanding from Q&A into actions.
Chatbots, copilots, RAG applications, agent workflows, and AI features embedded in enterprise products. Scope is defined around the model interfaces, tools, data sources, identity boundaries, and operational controls in play.
They use the risk-ranked findings to fix high-impact issues first—tightening prompts and policies, narrowing tool permissions, improving retrieval controls, strengthening logging, and clarifying escalation paths.
A prioritized AI roadmap tied to real business outcomes and delivery capacity.
Evaluate readiness, surface high-value use cases, and define a phased adoption plan your teams can execute. We connect opportunity sizing to architecture, governance, and operating-model decisions so investments translate into production results.
Production-ready agents and knowledge experiences with governance built in.
Design copilots, chatbots, and knowledge assistants grounded in your content and systems. We emphasize retrieval quality, access control, tool permissions, auditability, and escalation paths so AI support fits how your organization actually works.
Stronger access controls and identity processes with clearer operational ownership.
Improve identity lifecycle, access management, and security controls across enterprise applications and cloud environments. We help tighten authentication, authorization, privileged access, and monitoring so the right people and systems get the right access—and little else.
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