RedBot (The Autonomous Security System)

Inspiration

AI chatbots are critical enterprise touchpoints but vulnerable to attacks like prompt injection and PII leakage. Manual security testing doesn't scale. We built an autonomous agent that continuously red-teams chatbots, identifies vulnerabilities, and generates actionable remediation plans—turning security from a bottleneck into a competitive advantage.

What it does

RedBot autonomously attacks chatbot endpoints, detects vulnerabilities using AI analysis, and generates prescriptive remediation plans with ROI calculations. It stores findings in ClickHouse Cloud for real-time analytics dashboards and translates everything to 7 languages via DeepL for global teams. OpenHands orchestrates the autonomous workflow.

How we built it

ClickHouse Cloud: Analytics database for vulnerability data
OpenHands: Agent orchestration platform
DeepL: Translation API (7 languages)
Streamlit: Interactive web UI
Python: Attack simulation and analysis logic
Built cloud-first with parameterized SQL queries, graceful fallbacks, and comprehensive error handling—all in a 3-hour sprint.

Challenges we ran into

SQL injection risks with special characters → Migrated to parameterized queries
Python 3.13 compatibility with ClickHouse → Implemented fallback mechanisms
Time pressure pivot from local to cloud ClickHouse → Flexible connection architecture
Multi-tool coordination → Environment-based config with .env files

Accomplishments that we're proud of

Integrated 3 sponsor tools (ClickHouse, OpenHands, DeepL) seamlessly
Production-ready security practices (parameterized queries, error handling)
Real cloud deployment (not mocked)
First autonomous security agent with 7-language translation
Live analytics dashboard with ROI metrics
Complete working demo in 3 hours

What we learned

ClickHouse's analytics power for security data
OpenHands orchestration patterns for autonomous agents
DeepL's quality for technical translations
Importance of parameterized queries and cloud-first architecture
Security teams need prescriptive remediation + ROI metrics, not just vulnerability reports

What's next for The RedBot Autonomous Security System

Short-term: Expand to 15+ attack types, integrate Linkup for CVE lookups, add threat intelligence feeds
Mid-term: Auto-generate remediation PRs, GitHub/GitLab integration, A/B testing framework
Long-term: SOC 2 compliance automation, RBAC, Slack/PagerDuty integration

Vision

Become the industry-standard autonomous security platform for AI systems—making enterprises 10x faster at securing chatbots while reducing security team burnout.