Best AI Guardrails for Kilo Code

Enkrypt AI, developed by Anaconda, utilizes runtime guardrails to identify and prevent unsafe actions in models, agents, and their tool interactions, all managed by a singular policy engine. Prior to deployment, it conducts independent red-team assessments of models, agents, and MCP connections against over 300 distinct attack types. During operation, it enforces regulations regarding tool access and data availability for each agent, while ongoing monitoring generates compliance documentation that is ready for audits. Enkrypt AI has been acknowledged as a Cool Vendor in AI Security by Gartner and serves as a compliance integration partner for OpenAI. In an extensive research initiative, its team evaluated over 268,000 tools across 25,000 MCP servers within a two-month timeframe, uncovering more than 143,000 vulnerabilities that impacted 73% of those servers.

Enkrypt AI is an AI security and compliance platform built to protect generative AI applications, autonomous agents, models, data, and AI infrastructure. It provides security agents and controls for detecting vulnerabilities, preventing threats, continuously monitoring AI systems, and automating compliance processes. Enkrypt AI's red teaming capabilities dynamically generate use-case-specific attacks that adapt during testing to uncover security, safety, and brand risks that static evaluations may miss. The platform addresses threats including prompt injection, jailbreaking, data leakage, model inversion, adversarial attacks, policy violations, hallucinations, model drift, bias, toxic content, deceptive behavior, and unmonitored agent actions. Real-time guardrails inspect AI interactions and can stop threats as they occur while continuously adapting based on prompts and observed activity. Monitoring capabilities provide ongoing visibility into AI risk and compliance so organizations can identify issues, track protection effectiveness, and maintain evidence for audits. Enkrypt AI can translate internal organizational policies and external regulatory requirements into automated guardrails to reduce manual compliance work. Its product portfolio includes Agent Red Teaming, Agent Guardrails, an Agent Policy Engine, AI Data Risk Audit, MCP Scanner, and MCP Gateway, with solutions for customer-facing agents, frontier models, third-party AI risk, AI compliance, MCP security, and secure AI development. The company also maintains an LLM Safety Leaderboard that continuously red teams and benchmarks more than 200 AI models to help organizations evaluate model security and safety.