Alternatives to Agentic AI Top10 Vulnerability

Runtime security layer that inspects what goes into your AI agents and controls what comes out

Agentic AI security and MCP discovery that maps what AI agents can actually reach — from prompt to API to data.

Enterprise AI security platform that discovers agents and MCP servers, red-teams them, and enforces policy inline at the gateway.

Norm Ai encodes legal rules into verifiable AI agents for compliance review, DDQs, and RFPs at regulated institutions.

ECC is the open-source agent harness operating layer that gives Claude Code, Codex, Cursor and Kimi shared skills, memory, planning and

Unbound is an Agent Access Security Broker that governs what AI coding agents can run, reach, and touch.

Trusera's ai-bom discovers, catalogs, and governs every AI agent, model, and pipeline running across your enterprise infrastructure.

Mindgard is AI red teaming that reconnoiters, exploits, and retests vulnerabilities in production AI agents and models.

Open-source red-team toolkit for AI agent prompt injection, jailbreak and goal hijacking testing

Abundant builds long-horizon RL environments, anti-cheat verifiers and datasets that train AI agents on multi-hour work.

Andon Labs runs real AI-operated businesses and publishes field evals of long-horizon agent behavior.

OpenAI's closed early-access program for safety testing of its o-series reasoning models

Search the AI Incident Database to find, cite and export documented real-world AI harms.

Promptfoo brings automated LLM red teaming and AI security testing into your CI/CD pipeline

Securiti unifies DSPM, data privacy automation, and AI security on one DataAI Command Graph.

AI vendor risk intelligence that flags which third-party tools run AI, and where your data leaks.

An approval layer that freezes high-risk AI coding agent actions until a human signs off, then writes a signed audit record.

Invariant Guardrails enforces contextual security policies on AI agent tool calls and MCP server connections before they run.

AI agent security and governance that watches the decision point where context and intent collide

Credo AI is an AI governance platform that registers, risk-scores, and continuously monitors every AI agent, model, app, and vendor.

Adrian is open-source runtime security that reads an AI agent's chain of thought and blocks malicious plans before they execute.

Cinder turns your written trust and safety policies into agentic moderation and enforcement workflows, with every decision logged.

Vorlon enforces AI agent runtime security — blocking policy-violating agent actions, masking sensitive data in transit, and restricting write access at the

Open-source OS-level runtime security that keeps real API keys and PII out of compromised OpenClaw and Hermes Agent processes.

Agentic RAG platform with citation-backed answers, runtime hallucination detection, and SaaS, VPC, or airgapped deployment

TextLayer embeds senior AI architects and engineers in PE portfolio companies to ship production AI systems — not strategy decks.

Tessl is an agent enablement platform for versioning, scanning, evaluating and governing coding agent skills.

ElevenAgents Guardrails adds real-time safety checks to voice agents — prompt-injection blocking, reply screening, and custom policy

Self-hosted AI agent governance with an access map, Cedar policy gates and a signed audit ledger for Claude Code, Codex and Gemini CLI

agentsh enforces syscall-level policy for AI coding agents — file, network, and process control that holds no matter the prompt.