Canaries In The Wild
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Canaries In The Wild

OM DENNE PODCAST 🔗

Conversations with security leaders and practitioners about their real-world experience of canaries and honeypots.
Our guests share tactics, detection stories, and lessons learned from production deployments - ranging from technical details to the role deception plays in their defensive strategy, we explore the reality of 'canaries in the wild'.
From the team at Tracebit.
Teknologi
Værter:
Opdateringsfrekvens:
every 53 days
Gennemsnitlig lydlængde:
39 minutes
Gæsteinterviews
Engelsk
USA
8 episoder
siden 7. september 2025
episodic
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SENESTE EPISODE 🔗

Tracebit Artifacts: Canary Files That Show Attackers' Intent

Tracebit Artifacts: Canary Files That Show Attackers' Intent

Tracebit CEO Andy Smith and Founding Engineer Ed Jones, tech lead on the project, walk through the launch of Tracebit Artifacts. Deception vendors have offered decoy documents for years, usually as fixed templates that fire when someone opens them. Artifacts work differently. Each one is a realisti…
00:27:23
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SIDSTE EPISODER

Webinar: Context Bombs - stopping AI Attackers in their Tracks

Webinar: Context Bombs - stopping AI Attackers in their Tracks

· udskrift
What if you could turn prompt injection into a defence? Tracebit's latest research shows how a single "context bomb" - a short string planted in a canary secret - can hijack an attacking AI agent's own safety guardrails and stop it in its tracks. Across 152 attack runs in an AWS cyber range, one co…
00:48:41
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Ollie Whitehouse: Building a National Cyber Defence Programme

Ollie Whitehouse: Building a National Cyber Defence Programme

Our latest episode features Ollie Whitehouse, CTO of the UK's National Cyber Security Centre (NCSC), the security mission of GCHQ.  Ollie has spent over 23 years working with deception – from running personal honeypots in 2002, through catching state adversaries and a criminal zero-day at a previou…
00:35:16
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Webinar: AI Agents vs. Canaries - Detecting Attacks That Move at AI Speed

Webinar: AI Agents vs. Canaries - Detecting Attacks That Move at AI Speed

Can deception slow down autonomous AI attackers? We ran the experiment to find out. Tracebit's Sam Cox (CTO & Co-Founder) and security researcher Alessandro Brucato sit down with Nick Reva, who leads security engineering at DoorDash, to walk through new research on using canaries against autono…
00:51:49
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Kevin Conley - Thinking Like an Attacker and the Psychological Power of Deception

Kevin Conley - Thinking Like an Attacker and the Psychological Power of Deception

Our latest episode features Kevin Conley, Team Lead and Principal Security Engineer of the Deception Technology team at Riot Games, who has built their canary program from the ground up over the past few years. Kevin has spent years deploying and running deception at massive scale - protecting one …
00:42:38
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Mandy Andress: Assume Breach, High Fidelity Alerts and Guardrails for AI Agents

Mandy Andress: Assume Breach, High Fidelity Alerts and Guardrails for AI Agents

Andy sits down with Mandy Andress (CISO, Elastic) who has been working with deception technology since the early days of honeypots and honeynets.Mandy brings a CISO's perspective on why canaries deserve a much larger role in modern security programs, and shares her views on how the fundamentals of …
00:28:20
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Josh Yavor: High Signal, Low Noise - The Case for Early Canary Deception

Josh Yavor: High Signal, Low Noise - The Case for Early Canary Deception

Andy sits down with Josh Yavor (CEO, Credible Security) to discuss his experience of a decade of deploying deception technology. From building complex malware analysis environments to protecting sensitive IP during third-party data sharing, Josh explains why canaries deliver high-value signals earl…
00:38:52
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Didier Vandenbroeck: Catching Red Teams, Insider Threat and the ROI of Canaries

Didier Vandenbroeck: Catching Red Teams, Insider Threat and the ROI of Canaries

Andy sits down with Didier Vanderbroeck (VP Security & IT, Oleria) to discuss the value he's seen from canaries as a detection mechanism over a 25 year career in security. Ranging from getting caught by Salesforce's honeypots while running red-teaming post-Slack acquisition, to what AI means fo…
00:35:51
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