Shows
Redefining CyberSecuritySBOMs in Application Security: From Compliance Trophy to Real Risk Reduction | AppSec Contradictions: 7 Truths We Keep Ignoring — Episode 3 | A Musing On the Future of Cybersecurity with Sean Martin and TAPE9 | Read by TAPE9SBOMs were supposed to be the ingredient label for software—bringing transparency, faster response, and stronger trust. But reality shows otherwise. Fewer than 1% of GitHub projects have policy-driven SBOMs. Only 15% of developer SBOM questions get answered. And while 86% of EU firms claim supply chain policies, just 47% actually fund them.So why do SBOMs stall as compliance artifacts instead of risk-reduction tools? And what happens when they do work?In this episode of AppSec Contradictions, Sean Martin examines:Why SBOM adoption is laggingThe cost of static SBOMs for developers, AppSec teams, and business leadersReal-world examples wh...
2025-10-0102 min
ITSPmagazineSBOMs in Application Security: From Compliance Trophy to Real Risk Reduction | AppSec Contradictions: 7 Truths We Keep Ignoring — Episode 3 | A Musing On the Future of Cybersecurity with Sean Martin and TAPE9 | Read by TAPE9SBOMs were supposed to be the ingredient label for software—bringing transparency, faster response, and stronger trust. But reality shows otherwise. Fewer than 1% of GitHub projects have policy-driven SBOMs. Only 15% of developer SBOM questions get answered. And while 86% of EU firms claim supply chain policies, just 47% actually fund them.So why do SBOMs stall as compliance artifacts instead of risk-reduction tools? And what happens when they do work?In this episode of AppSec Contradictions, Sean Martin examines:Why SBOM adoption is laggingThe cost of static SBOMs for developers, AppSec teams, and business leadersReal-world examples wh...
2025-10-0102 min
ITSPmagazineThe Problem With Threat Modeling in Application Security: Too Slow, Too Theoretical, Not Agile | AppSec Contradictions: 7 Truths We Keep Ignoring — Episode 2 | A Musing On the Future of Cybersecurity with Sean Martin and TAPE9 | Read by TAPE9Threat modeling is often called the foundation of secure software design—anticipating attackers, uncovering flaws, and embedding resilience before a single line of code is written. But does it really work in practice?In this episode of AppSec Contradictions, Sean Martin explores why threat modeling so often fails to deliver:It’s treated as a one-time exercise, not a continuous processResearch shows teams who put risk first discover 2x more high-priority threatsYet fewer than 4 in 10 organizations use systematic threat modeling at scaleDrawing on insights from SANS, Forrester, and Gartner, Sean breaks down the gap betw...
2025-09-1203 min
Redefining CyberSecurityThe Problem With Threat Modeling in Application Security: Too Slow, Too Theoretical, Not Agile | AppSec Contradictions: 7 Truths We Keep Ignoring — Episode 2 | A Musing On the Future of Cybersecurity with Sean Martin and TAPE9 | Read by TAPE9Threat modeling is often called the foundation of secure software design—anticipating attackers, uncovering flaws, and embedding resilience before a single line of code is written. But does it really work in practice?In this episode of AppSec Contradictions, Sean Martin explores why threat modeling so often fails to deliver:It’s treated as a one-time exercise, not a continuous processResearch shows teams who put risk first discover 2x more high-priority threatsYet fewer than 4 in 10 organizations use systematic threat modeling at scaleDrawing on insights from SANS, Forrester, and Gartner, Sean breaks down the gap betw...
2025-09-1203 min
Redefining CyberSecurityAI in Application Security: Why False Positives Still Overwhelm Teams Despite the Hype | AppSec Contradictions: 7 Truths We Keep Ignoring — Episode 1 | A Musing On the Future of Cybersecurity with Sean Martin and TAPE9 | Read by TAPE9AI is everywhere in application security today — but instead of fixing the problem of false positives, it often makes the noise worse. In this first episode of AppSec Contradictions, Sean Martin explores why AI in application security is failing to deliver on its promises.False positives dominate AppSec programs, with analysts wasting time on irrelevant alerts, developers struggling with insecure AI-written code, and business leaders watching ROI erode. Industry experts like Forrester and Gartner warn that without strong governance, AI risks amplifying chaos instead of clarifying risk.This episode breaks down:• Why 70% of anal...
2025-09-0902 min
ITSPmagazineAI in Application Security: Why False Positives Still Overwhelm Teams Despite the Hype | AppSec Contradictions: 7 Truths We Keep Ignoring — Episode 1 | A Musing On the Future of Cybersecurity with Sean Martin and TAPE9 | Read by TAPE9AI is everywhere in application security today — but instead of fixing the problem of false positives, it often makes the noise worse. In this first episode of AppSec Contradictions, Sean Martin explores why AI in application security is failing to deliver on its promises.False positives dominate AppSec programs, with analysts wasting time on irrelevant alerts, developers struggling with insecure AI-written code, and business leaders watching ROI erode. Industry experts like Forrester and Gartner warn that without strong governance, AI risks amplifying chaos instead of clarifying risk.This episode breaks down:• Why 70% of anal...
2025-09-0902 min