Best AI Security Software for Kilo Code

Anaconda enables security teams to accelerate their AI integration while managing potential risks effectively. Their Enkrypt AI platform autonomously conducts red-team assessments on models, agents, and MCP connections, evaluating them against over 300 different attack types prior to deployment. Following this, it enforces runtime safety measures that identify and prevent harmful actions. Access to tools and data for agents is regulated through enforceable policies, and ongoing surveillance ensures the collection of audit-ready compliance documentation. The security framework also encompasses the foundational elements of AI: AI Artifacts offers validated Python packages and open-source models, complete with vulnerability scanning, dependency analytics, Software Bill of Materials (SBOMs), and AI-specific SBOMs (AIBOMs). In just two months, Enkrypt AI scanned more than 268,000 tools across 25,000 MCP servers, uncovering over 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.