AI Services
AI built for your business. Built securely from day one.
Most AI implementers are devs who do not know security. Most AI security consultants are policy people who have never built anything. Red Bear does both. We build AI for your business the way it should be built, with prompt injection, access control, data exposure, and abuse cases handled from the first conversation, not bolted on after launch.
Two things we do with AI.
If you want to deploy AI in your business, we build it. If you want to test the AI you already deployed, we attack it. Same operator, same security lens, two different jobs.
Build it
Custom AI implementation for small business and mid-market. Knowledge bases, agents, integrations, and automation. See the offers below.
Test it
AI pentesting and red teaming for organizations with AI already in production. See AI Pentesting.
Implementation Offers
Productized so they are easy to understand and reference. Custom-scoped on a call before pricing. Built securely from day one. The security is not an add-on, it is how Red Bear builds.
KB-in-a-Box
Custom Knowledge Base
A private knowledge base built on your data. RAG-based Q&A, document search, access controls, and audit logging. The thing your team keeps asking for but nobody has had time to build correctly.
- Built on your data, in your environment or ours
- Access controls and audit logging from day one
- Prompt injection and data exfiltration considered up front
- Handoff training included
Agent-in-a-Box
Workflow AI Agent
A single-workflow AI agent for a specific business job: intake, triage, scheduling, routing, qualification. Built with guardrails, integration limits, and abuse handling, because agentic systems with tool access need adult supervision.
- Scoped to one workflow, not a "platform"
- Guardrails on tools, data, and outbound actions
- Abuse case design baked in
- Monitoring and rollback paths included
AI-in-Your-Tools
Integration Build
Claude or ChatGPT integrated into the tools you already use: Slack, email, CRM, helpdesk. Includes a data boundary review so the integration does not quietly leak your business into a chat window.
- Integrations into your existing stack
- Data boundary review (what gets shared, what does not)
- Access controls on AI features
- Usage monitoring and cost controls
Automation Builds
AI-Powered Automation
Document processing, summarization, reporting, or workflow automation powered by AI. The boring work the business does every week that can be automated correctly, securely, and with a clear audit trail.
- Document and data processing pipelines
- Audit trail and rollback built in
- Human-in-the-loop where appropriate
- Cost predictability and monitoring
Run-It-Yourself Training
Enablement
Training and enablement so your team can operate, extend, and maintain what was built. Bundled with most builds. Available standalone for businesses that already have AI in the wild and need to learn how to run it responsibly.
- Hands-on training for your team
- Operating playbooks and runbooks
- Guidance on when to call for help and when to ship
Why "built securely" actually means something here.
Most AI implementation shops will not have heard the words "prompt injection" until a client gets burned by one. Most AI implementations being shipped this year have at least one of these problems:
- The agent has tool access nobody scoped properly, and it can do things the business owner did not realize
- The knowledge base will happily share data with the wrong person if they ask the right way
- The integration leaks customer or business data into a chat window or external service
- The system has no audit trail, so when something goes sideways nobody can tell what happened
- The vendor disappears six weeks after launch and the SMB is stuck
Red Bear is built differently. The same operator who runs ransomware operations for hundreds of customers is the one designing your AI build. The security thinking is not an add-on. It is the default.
Have an AI project in mind?
Send a short note about what you want to build. Red Bear will scope it on a quick call and tell you what is realistic.
Talk about an AI buildNeed AI testing instead? See AI Pentesting.