Tolmo GTM brain

category

market profile

• text: AI-assisted software development accelerates changes while security teams must triage risks across code, cloud and production infrastructure.
• text: Security teams need context to distinguish exploitable production risks from isolated alerts.

personas

• title: CISO or VP Security
  pains:

  • Security capacity cannot match production change velocity
  • Risk reporting is fragmented across tools and lacks impact context
• title: Head of application security
  pains:

  • Developers receive excessive theoretical findings
  • Needs actionable fixes that reflect real deployment dependencies
• title: Cloud security engineer
  pains:

  • Asset inventory and identity relationships span multiple systems
  • Manual investigation and remediation slows response

icp

• text: Cloud-native software companies with production applications, continuous deployment and dedicated security or platform engineering teams.
• text: Organizations with multiple cloud services, CI systems and security vendors, especially those increasing AI-generated code output.

message pillars

• text: Keep security aligned with rapid software change.
• text: Connect findings to live production context.
• text: Move from alerts to demonstrable fixes.

objections

• objection: We already have cloud and application security tools.
  response: Evaluate whether the production graph correlates existing sources and reduces investigation time on a representative set of findings.
• objection: Granting an agent access to production is risky.
  response: Review the read-only connection scope and establish human approval for proposed fixes during a pilot.
• objection: Automated findings may be noisy.
  response: Compare evidence of exploitability and fix quality against the team's existing triage process.

competitors

• name: Wiz
  why: Cloud security platform competing for visibility and risk prioritization.
• name: Datadog
  why: Provides cloud and application security alongside observability.
• name: OpenHack
  why: Offers AI pentesting, overlapping with Tolmo's pentesting agent.

keywords

• AI security agents
• continuous penetration testing
• cloud security remediation
• application security automation
• production security graph
• AI code security
• cloud asset discovery

voice

• Technical and direct
• Urgency-driven
• Confident about production expertise

signals

• text: Engineering teams are adopting AI coding tools while security staffing stays flat.
• text: A company is consolidating fragmented cloud and application security findings or reviewing pentesting coverage.

pricing

motion

channels

• SEO
• security research
• founder networks

confidence

Founders

• name: Pierre Betouin
  title: Founder/CEO
  role: CEO
  bio: Pierre was leading security products at Datadog following the acquisition of Sqreen (W18) - a cybersecurity company providing a comprehensive security monitoring for cloud and web apps protecting over 800 customers in production. Pierre previously spent 9 years at Apple, where he led the team in charge of security assessments for the Internet Services department, hacking products and designing protection.
• name: Vladimir de Turckheim
  title: Founder
  role: Founder
  bio: Vladimir (Vlad) was a Staff Engineer working on security products at Datadog. He joined following the acquisition of Sqreen (W18) where he was employee #4 in charge of Node.js instrumentation. He was a Node.js core collaborator for five years and has setup the whole Node.js security program. He is also the founder of Heal.dev.