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Learn how API keys and security certificates become exposed through public Git repositories, Docker images, and packages.
Learn how secure code defaults and development guardrails can reduce recurring vulnerabilities, including cross-site scripting risk.
Learn Marie Kondo-style techniques for selecting useful security tools and avoiding reinvention of common solutions on under-resourced security teams.
Practical threat hunting with machine learning models, illustrated through case studies of high-value threat detections.
Learn how security engineers can partner with product managers to prioritize security features, advance a security-focused roadmap, and reach security-conscious customers.
Learn to identify documentation needs, create security docs iteratively, and measure whether people actually use and understand them.
Examines how cloud workflow management platforms expose misconfigurations, credentials, sensitive data, insecure code, and containerized malware.
A security risk-management approach that treats vulnerabilities as debt, replacing inflexible SLAs and permanent exceptions with responsible risk acceptance.
Explores how implanted people and contactless technologies can become attack vectors against physical and digital security.
Explores how to scale threat modeling programs without creating a security-team bottleneck as companies grow.
Walk through solving a difficult hacking and reverse-engineering challenge built around a classic bug in Pokémon Red.
Explores JavaScript payloads that use a browser to reconnoiter and reach internal network assets before a malware implant.
Use Jython and Ghidra’s scripting API to streamline static analysis of obfuscated malware.
Explore how osquery can help incident responders investigate attack breadcrumbs and accelerate digital forensics and incident response at scale.
Practical advice for security writers on starting and finishing exploit reports, choosing tools, and checking work for professional presentation.
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