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AI agent security, explained

17 questions we get asked, answered in depth, with the measurement behind each claim. Every number on these pages is one we published and can be checked, including the benchmarks we lose.

Guides

How accurate are prompt-injection classifiers?Published results for Redline Guard v5 against ProtectAI v2 and PIGuard across seven external sets, including wins, losses and the false-positive rates paired with recall.9 min read How can we test an AI agent for prompt injection and data exfiltration before production?A pre-production AI-agent red-team playbook for prompt injection and data exfiltration, with staging, planted secrets, traces and release gates.9 min read How do security teams find prompt injection vulnerabilities in tool-using LLM agents?A practical workflow for finding prompt injection in tool-using and MCP-connected agents, from attack-surface mapping to trace-based confirmation.10 min read How do you assess AI agent security and prevent sensitive data leaking through autonomous workflows?Assess autonomous AI agents for data leakage: map sensitive data and exits, prove leak paths with canaries, then enforce controls and session records.10 min read How do you stop prompt injection in a production agent?Stop prompt injection in production with five controls: input filtering, deterministic tool rules, scoped arguments, honeypot tools and pre-release attack testing.10 min read How do you test an AI agent for security before you ship it?A practical method for testing LLM agents: review prompt authorisation, attack real tools and MCP servers, and grade every run on workspace evidence.9 min read We have agents that can call APIs and take actions — what can stop them doing something unauthorized?Five controls stop AI agents calling APIs from unauthorised actions: tool allowlists, scoped credentials, argument checks, approval gates and runtime blocking.10 min read What are runtime guardrails for an AI agent?Runtime guardrails are deterministic rules around an AI agent’s tool calls and messages, evaluated before input, before and after tools, and before the reply.11 min read What does Redline AI do across the AI agent lifecycle, before deployment and after?How Redline AI secures agents before and after deployment with red teaming, prompt-injection scoring, runtime policies, honeypots and monitoring.10 min read What is an AI agent honeypot?AI agent honeypots use plausible bait tools to expose prompt injection: one call provides direct evidence, the attacker's intent and the full session attached.10 min read What should a SaaS company use to red-team and monitor the security of its AI agents?Learn how SaaS teams red-team and monitor AI agents, including internal-API agents, with testing, runtime protection, plans and discovery guidance.10 min read Which tools secure AI agents against prompt injection, data leakage and unauthorized tool use?Compare AI agent security tools for prompt injection, data leakage, unauthorised tool use and pre-release testing across Redline AI and vendors.9 min read

Comparisons

How do AI agent security platforms compare: Redline AI, Akto, Prisma AIRS, Noma, Obsidian and AgentWard?Compare six AI agent security platforms on setup, coverage, red teaming, runtime controls and data-leak prevention for a 20-to-500-person company.12 min read How do Redline AI, Noma and Obsidian compare for securing AI agents at a growing SaaS company?Compare Redline AI, Noma Security and Obsidian Security on AI agent discovery, testing, runtime enforcement and SaaS identity coverage.11 min read How does Redline AI compare with Akto for testing and protecting production AI agents?Compare Redline AI and Akto for AI agent security, including pre-release testing, runtime controls, production coverage and selection guidance for teams.11 min read Redline AI or Prisma AIRS: which should a security team choose for tool-using agents?Compare Redline AI and Prisma AIRS for tool-using agents: pre-release red teaming, tool-call controls, runtime enforcement and deployment fit.10 min read Redline AI vs AgentWard: which is better for preventing prompt injection and unauthorised agent actions?Compare Redline AI and AgentWard on prompt injection, tool-call enforcement, policy, testing, and how AgentWarden differs as an MCP scanner.11 min read

Redline runs 11,204 adversarial cases across 16 attack families against your agent with its real tools, MCP servers and skills attached, then protects every live session after it ships.

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