GrayPass GTM brain

category

market profile

• text: A valid login session can outlive the assurance that the authorized person controls a consequential action.
• text: Sensitive application actions include money movement, customer data exports and changes to administrative permissions.

personas

• title: Application security leader
  pains:

  • A stolen or shared session can execute high-impact actions after MFA succeeds.
  • Additional security prompts can frustrate legitimate users.
• title: CTO or identity engineering lead
  pains:

  • The application must combine session and device evidence with its own policy.
  • Replacing the identity provider would increase integration cost and risk.
• title: Product leader for an agent-enabled application
  pains:

  • Delegated agent execution needs authorization tied to the action.
  • A familiar behavior pattern alone cannot establish intent or permission.

icp

• text: Software companies with sensitive exports, payouts or administrative changes in authenticated web applications.
• text: Application teams with an existing identity provider and MFA that can integrate and enforce action-level decisions.

message pillars

• text: Check control at the sensitive action, not only at login.
• text: Add assurance without replacing current identity controls.
• text: Tie authorization to the specific action.

objections

• objection: We already have MFA.
  response: MFA establishes entry; GrayPass adds evidence at a later sensitive action while retaining the existing stack.
• objection: Does it capture typed content?
  response: The company says evidence describes timing and movement rather than the words typed.
• objection: Behavior can change or be misleading.
  response: GrayPass acknowledges drift and says behavioral evidence does not establish permission by itself; evaluate against a specific workflow.

competitors

• name: BioCatch
  why: Behavioral biometrics for digital fraud and account protection overlaps the continuity problem.
• name: BehavioSec
  why: Behavioral biometrics is an alternative approach to identifying suspicious sessions.
• name: TypingDNA
  why: Typing-based behavioral authentication overlaps a modality used by GrayPass.

influencers

• name: Aditya Ranjan
  url: https://www.linkedin.com/in/ad1tyaranjan
  why: Co-founder discusses identity after login and account takeover.
• name: Arav Mathur
  url: https://www.linkedin.com/posts/aravmathur_2-weeks-ago-on-august-23rd-2026-i-turned-activity-7503185167453159424-qUoU
  why: Founder shares company and YC journey.

keywords

• continuous authentication
• behavioral biometrics fraud detection
• post login security
• account takeover protection
• sensitive action authorization
• agent authorization

voice

• Precise and technical
• Measured about evidence limitations
• Security-focused

signals

• text: Team is adding high-value payouts, data exports or privileged admin actions.
• text: Application is enabling agents to act on a user's behalf.
• text: Security team wants protection after login without replacing MFA.

pricing

motion

channels

• YC launch
• Founder-led LinkedIn
• Research content
• Press

confidence

Founders

• name: Arav Mathur
  title: Founder/CEO
  role: CEO
  bio: Founder/CEO at GrayPass (YC F26). University of Waterloo CS. Founded my first startup at 15, $30K raised with 1.7k users. Launched a fashion app with 4.3K weekly active users that generated 1M+ views on social media. Served as the sole growth engineer at Stan ($40M ARR). At 16, developed dubbing and translation tools for creators including Logan Paul, Yes Theory and GothamChess. Now building GrayPass to help apps stop people and AI agents from taking sensitive actions without permission.
• name: Aditya Ranjan
  title: Founder/COO
  role: COO
  bio: Founder/COO @ GrayPass (YC F26) | Making human agency legible. Previously studied Neuroscience @ McGill. Conducted neurosurgical research at SickKids, with work published in Springer Nature. Granted a fellowship @ UBC to develop longitudinal transformer models predicting epilepsy outcomes from MRI scans. Founded an organization developing seizure-detection technology for epilepsy applications. Created brain tumour segmentation algorithms for UPenn BraTS challenges alongside EPFL researchers.