This discussion between Andy, CEO of Trace Bit, and Joshua Vor, CEO of Credible Security, explores the critical role of deception technologies, specifically security canaries and honeypots, in modern cybersecurity. They challenge the industry misconception that these capabilities are only viable for highly mature security organizations, arguing for their compelling and efficient value when implemented early.
Joshua shares diverse experiences spanning over a decade, from high-cost, complex malware analysis sandboxes designed to bypass adversarial detection, to lightweight, high-value canary token strategies implemented for high-risk employees. Key use cases include validating existing defensive controls, generating specific threat intelligence, and creatively securing highly sensitive data shared with third parties (e.g., clean room environments). A final point addresses using canaries dynamically during incident response to safely engage adversaries and gather intelligence. The speakers emphasize that canaries provide extremely high-signal, low-noise alerts, validating their worth even when rarely triggered, and ultimately aiming to increase attacker cost and frustration through widespread adoption.
Security Canaries and Deception: Early Implementation, High Signal Value
0:00 Misconception: The speakers immediately challenge the common misunderstanding that deception capabilities are a later-stage investment; they argue for their efficient and compelling value when implemented early.
0:43 Introductions: Andy (CEO/Co-founder of Trace Bit) and Joshua Vor (CEO/Co-founder of Credible Security, cyber security advisory firm, and early investor in Trace Bit).
2:07 Early Experiences: Joshua recounts his decade-plus history with deception, starting with personal experimentation (monitoring LAMP stacks) and evolving into sophisticated corporate applications.
4:36 Advanced Malware Detonation: An early experience involved creating highly accurate, bare-metal and virtualized copies of the corporate environment (including fake data and user accounts) to safely detonate malware and understand attacker techniques, bypassing adversarial detection in commercial sandbox tools.
7:45 Core Value Proposition: The primary value of deception is two-fold: 1) Actionable threat intelligence on specific attacker techniques, and 2) Validation/invalidation of current defensive and detection assumptions, which is more useful than generic industry reports.
14:07 Low-Cost Canary Strategy: An example of low-maturity, high-value implementation involved using unique canary tokens (files) placed on the laptops of high-risk engineers. If accessed, the callback provided immediate, high-confidence notification of a potential compromise, serving as a powerful investigative starting point.
17:28 High Signal, Low Noise: Addresses the objection that canaries are not valuable if they rarely trigger, comparing them to EDR technology. Canaries are designed to be extremely high signal (almost no noise) alerts, justifying an immediate, high-priority response (a "four-alarm fire") due to the high confidence of the detection.
21:53 Protecting Third-Party Data: A creative use case involved including "purposeless" canary URLs and files within highly sensitive data shared with a third party in a "clean room." This provided assurance that if the data escaped isolation or was accessed inappropriately, the security team would be immediately alerted, enabling proactive legal and security response planning.
29:17 Incident Response Utility: Canaries can be used dynamically during incident response. After identifying a sophisticated social engineering or phishing attempt, canary URLs were sent back to the threat actor to safely engage them and capture intelligence (IP address, user agent string, language configuration) for campaign mapping.
34:10 Psychological Impact: The psychological impact on the attacker is changing due to automation. While manual attacks introduce fear, the widespread adoption of canaries aims to induce frustration and increase the economic cost of successful attacks for automated threat actors.