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Lakera vs Pillar Security

LakeraPillar Security

Bottom line: Lakera for aI/LLM product teams; Pillar Security for teams building and deploying AI agents.

Real-time AI security guardrails against prompt injection and LLM threats

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Securing the agentic workforce across the AI lifecycle.

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Votes00
PricingFreemiumPaid
CategoryAi SecurityAi Security
Tags
ai-securityprompt-injectionllm-guardrailsgenai-securityred-teaming
ai-securityai-red-teamingagent-securityguardrailsmcp-security
Best for
  • AI/LLM product teams
  • Enterprise security teams
  • Companies deploying customer-facing AI
  • Teams building and deploying AI agents
  • Organizations adopting MCP-based tooling
  • AppSec teams extending coverage to AI
Pros
  • Real-time detection with low latency
  • Threat intelligence from Gandalf's millions of prompts
  • Covers 100+ languages
  • API-first, easy to integrate
  • Backed by Check Point after acquisition
  • Covers discovery, testing and runtime protection end to end
  • RedGraph autonomous red teaming targets agentic attack chains
  • Model-agnostic, adaptive guardrails rather than static rules
  • Strong focus on MCP and agent security
  • Recognized as a 2026 Gartner Cool Vendor
Cons
  • Pricing not public beyond free tier
  • Product direction may shift post-acquisition
  • Detection claims need independent validation
  • Focused on text/LLM, not all AI modalities
  • Enterprise features require sales contact
  • Early-stage company with a young product
  • No public pricing or free tier
  • Cloud-delivered; no self-hosted option advertised
  • Broad scope may outpace a small team's depth in each area
  • Rapidly evolving category with many competitors

Comparison generated from each tool's listing. Add or remove tools above to change it.