BandGuard

Created by team Lumora on June 19, 2026
Regulated & High-Stakes Workflows

Think your application is secure? Let us break into it...actually break it for you - so you know the security vulnerabilities of your application before someone else does. Most teams rely on static analysis tools, vulnerability scanners, and occasional manual reviews. These approaches often miss vulnerabilities that emerge from how different parts of an application interact, especially in modern AI-powered systems. Security reviews are expensive, infrequent, and rarely simulate how a real attacker would think and adapt. Our solution - BandGuard is an AI-powered adversarial testing platform where multiple specialized security agents collaborate to actively investigate and challenge an application's security posture. Developers simply provide a GitHub repository, and BandGuard deploys an AI Red Team that attempts to discover vulnerabilities in a safe, controlled environment. Instead of performing a single automated scan, agents work together like a real security team—sharing findings, validating exploits, challenging assumptions, and coordinating investigations through Band. The system analyzes applications from multiple perspectives, including traditional software vulnerabilities, exposed secrets, authentication weaknesses, insecure configurations, and AI-specific threats such as prompt injection, tool abuse, and context manipulation. Each security agent has a specialized role: Recon Agent maps the application's architecture and attack surface. Vulnerability Analysis Agent searches for common security flaws. AI Security Agent evaluates LLM and agentic workflows for prompt injection and AI-specific risks. Secrets Agent identifies exposed credentials and sensitive configuration leaks. Exploit Validation Agent verifies findings and reduces false positives. Security Review Agent prioritizes and consolidates results. Remediation Agent generates actionable fixes and secure implementation guidance.

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"Application of technology: Seven adversarial security agents (Recon, Vulnerability Analysis, AI Security/prompt injection + tool abuse + context manipulation, Secrets, Exploit Validation/false positive reduction, Security Review, Remediation) collaborating through Band. Claude + Gemini + LangChain. GitHub repo input → multi-agent red team. Presentation: "Let us break into it for you before someone else does" is a compelling security services framing. AI Security Agent specifically addressing LLM/agentic workflow vulnerabilities (prompt injection, tool abuse, context manipulation) shows awareness of modern AI-specific attack surfaces. GitHub, presentation, demo available. Business value: Automated red team security assessment for modern applications including AI-specific vulnerability categories is a high-demand security service. Exploit Validation Agent reducing false positives before reporting improves the signal-to-noise ratio that developers actually act on. Originality: Including an AI Security Agent specifically targeting prompt injection, tool abuse, and context manipulation for AI-powered applications addresses security risks that traditional security scanners completely miss. This forward-looking inclusion of AI-specific security in a general application security platform is a distinctive contribution."

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