Armorer Labs GTM brain

Armorer Labs sells continuous AI agent security testing, verified remediation and runtime protection to organizations in regulated industries.

category

AI agent security

market profile

  • text: Teams deploying agents with access to sensitive data and tools need pre-deployment testing and production controls.
  • text: AI security vendors compete on agent discovery, prompt-injection defenses and runtime enforcement.

personas

  • title: CISO or head of application security
    pains:
    • Cannot confidently quantify what sensitive systems agents can reach.
    • Must explain agent risk against governance frameworks while enabling deployment.
  • title: AI platform or engineering leader
    pains:
    • Security findings create remediation work and delay releases.
    • Runtime checks can add latency or block legitimate workflows.
  • title: AI security engineer
    pains:
    • Needs to reproduce prompt injection and data leakage risks in the context of actual agent permissions.
    • Must validate fixes before allowing actions in production.

icp

  • text: Regulated organizations building their own AI agents with access to sensitive information or business systems.
  • text: Engineering and security teams with production or near-production agents and approval processes for changes; company size is not specified.

message pillars

  • text: Continuously test agents and enforce controls in production.
  • text: Move from findings to engineer-approved, verified remediation.
  • text: Stop unsafe actions while preserving legitimate workflows.
  • text: Use lightweight CPU-based runtime checks.

objections

  • objection: Will guardrails disrupt legitimate agent workflows?
    response: Armorer says it tests fixes against real workflows and requires engineer approval. Validate false positives on representative tasks.
  • objection: Will checks add unacceptable latency?
    response: The site reports a CPU-based guardrail under 2 ms; benchmark the full integration in your own environment.
  • objection: Does framework mapping mean compliance certification?
    response: The site explicitly says findings are mapped to frameworks, not audited. Review evidence with the compliance team.

competitors

  • name: Check Point AI Guardrails
    website: https://agentsecurityindex.com/
    why: Former Lakera Guard screens agent traffic for injection and data leakage.
  • name: Prompt Security
    website: https://agentsecurityindex.com/
    why: Offers AI application and agent discovery and protection.
  • name: Cisco AI Defense
    website: https://agentshield.ai/alternatives
    why: Competes in AI model validation and runtime protection.

influencers

  • name: Paul Vixie
    url: https://armorerlabs.com/about
    why: Internet security pioneer and Armorer advisor and investor.

keywords

  • AI agent security
  • prompt injection defense
  • agent runtime protection
  • AI red teaming
  • LLM data leakage prevention
  • AI agent compliance
  • AI security remediation

voice

  • Technical and evidence-led
  • Direct and pragmatic
  • Focused on operational continuity

signals

  • text: A regulated team is deploying tool-using AI agents with sensitive system access.
  • text: A security review finds prompt injection or data leakage risk that threatens an agent launch.
  • text: An AI platform team is measuring guardrail latency or false positives in production.

pricing

model: unknown

motion

sales_led

channels

  • technical blog
  • security conferences
  • LinkedIn
  • X
  • GitHub

confidence

high

Founders

  • name: Daniel Begimher
    title: Founder/CEO
    role: CEO
    bio: Co-founder of Armorer Labs. Previously led the global Application Security technical field community at AWS, where he led development of AWS Security Incident Response's AI-powered investigative agent from early development through public launch. Author of SIR-Bench - evaluation method for security agents; author of ASH code scanner (200K+ monthly clones); co-created ThreatForest, selected for Black Hat USA 2026 briefing. Led incident response for Fortune 500 breaches and red-team operations.
  • name: Cristian Leo
    title: Founder/CTO
    role: CTO
    bio: Co-Founder of Armorer Labs (YC F26). Led AI security science at AWS, building and evaluating AI systems for security. He is the creator of ThreatForest, the first open source automated threat modeling agent, and a co-author of SIR-Bench, a benchmark for evaluating AI security investigations. He is a Black Hat and re:Invent speaker.

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