Visibility, Testing, and Governance for AI in Production.

Bltz AI is an agentic AI security platform built for organizations running AI in production. The company addresses three converging risks: Shadow AI spreading across organizations faster than security teams can track it, AI systems being deployed into production without continuous adversarial testing, and governance programs that detect policy violations without enforcing them. Bltz treats these as a single problem requiring a unified platform rather than a collection of point tools.

The platform operates across three pillars. The Runtime Shield Gateway discovers and monitors all AI traffic at the network layer — agents, MCP servers, LLMs, copilots, and unauthorized AI applications — providing real-time visibility and enforcement at the data path. The Purple Team module pairs an offensive red team agent that continuously launches adversarial attacks against AI systems with a defensive blue team agent that validates controls and automatically remediates discovered vulnerabilities, replacing static one-time assessments with a closed-loop cycle. The governance layer enforces policy across employee AI tool usage, produces compliance reporting aligned to NIST AI RMF, ISO 42001, SOC 2, and the EU AI Act, and blocks unauthorized model access before data reaches external systems.

Bltz AI's distinguishing position in the AI Security and AI Governance space is the automated remediation loop. Where conventional red teaming surfaces vulnerabilities for human review and manual patching, Bltz closes that gap by coupling the attacker agent with a defender agent that acts immediately. The platform is positioned for enterprise security and compliance teams that need to deploy AI with confidence — particularly in regulated industries such as banking, healthcare, and legal — where exposure from unmonitored AI activity or a failed audit carries direct operational and regulatory consequence.