Candor GTM brain

category

market profile

• text: Security teams must distinguish consequential data movement from routine work while managing false positives from static rules.
• text: Sensitive data can leave through ordinary files, personal destinations and AI tools, requiring context across users and activity.

personas

• title: CISO or deputy CISO
  pains:

  • Protecting source code and customer data with a lean team is difficult.
  • Legacy DLP can create alert volumes that dilute attention to real incidents.
• title: Insider risk program lead
  pains:

  • Single events lack the user and timeline context needed to decide whether to escalate.
  • Investigators spend too long assembling evidence from disconnected systems.
• title: Security operations analyst
  pains:

  • Rules maintenance and false positive triage consume investigation time.
  • Sensitive data in shadow AI and personal destinations is hard to assess in context.

icp

• text: Enterprises with valuable intellectual property or customer data, distributed employees and a formal security function; the site cites semiconductor and Fortune 500 security leaders.
• text: Organizations with lean security teams relative to their monitoring workload and data spread across endpoints and cloud applications.

message pillars

• text: Connect separate activities into a meaningful investigation.
• text: Reduce the static rule burden and false positives.
• text: Investigate both content and the person moving it.

objections

• objection: We already have DLP policies and a security stack.
  response: Evaluate Candor against existing alerts and integrations in a scoped pilot, measuring investigation time and actionable findings.
• objection: AI may misjudge an employee's intent or generate false accusations.
  response: Keep analysts in the decision loop and validate case evidence, access controls and privacy safeguards before acting.
• objection: Endpoint and employee activity monitoring raises privacy and security concerns.
  response: Review data handling, retention, employee notice and legal requirements with security, HR and counsel.

competitors

• name: Cyberhaven
  website: https://www.cyberhaven.com/product/data-detection-response
  why: Provides contextual data loss prevention and insider risk management.
• name: Mimecast Code42 Incydr
  website: https://office.code42.com/incydr/
  why: Detects and helps stop data leaks and insider theft across a workforce.

keywords

• agentic data loss prevention
• insider risk management software
• DLP false positives
• shadow AI data leakage
• employee data exfiltration detection
• insider threat investigation

voice

• Direct and security-practitioner focused
• Plain-spoken and empathetic about alert fatigue

signals

• text: A security team is replacing noisy legacy DLP or adding an insider risk program.
• text: A company is rolling out AI tools while concerned about sensitive data being pasted into them.
• text: A company with valuable IP is expanding endpoint monitoring and investigation capabilities.

stack

• Google workspace integration
• Microsoft workspace integration
• Okta integration
• ServiceNow integration
• Splunk integration

hiring

• Senior Full-Stack Engineer
• Full-Stack Engineer, Investigations
• Full-Stack Engineer, Integrations
• AI/ML Engineer
• Endpoint Engineer, macOS
• Systems Engineer, DLP Engine

pricing

motion

channels

• Website
• LinkedIn
• Events
• Blog
• YC directory

confidence

Founders

• name: Ansh Gupta
  title: Founder
  role: Founder
  bio: Co-Founder/CTO @ Candor (https://candor.security/). We help companies protect themselves from data loss and insider threats with AI.
• name: Aditya Iyengar
  title: Founder
  role: Founder
  bio: Co-founder @ Candor. Prev SWE @ Flutterflow (W21), Uber, and NASA.