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Shows how security strategy connects people, processes, and technology, with sessions on building SOC capability, applying threat intelligence, and engaging employees.
An overview of threat modeling explains its purpose, benefits, and best practices for proactively identifying and mitigating organizational cybersecurity threats.
A webcast on building resilient security operations, using risk indicators and active defense to guide decisions during ransomware incidents.
Examines the metaverse’s technical and operational vulnerabilities, from identity and privacy risks to Web3 exploits and proactive countermeasures.
An unclassified FBI-led briefing on Russian state-sponsored cyber threats, attack methods, indicators of compromise, and mitigation for US critical infrastructure.
Learn how purple teams use cyber threat intelligence, attack emulation, and detection engineering to help organizations detect and respond to attacks.
Uses human cognition, visualization, and abductive reasoning to uncover previously unknown cybersecurity threats in complex data.
Learn how adversary simulation and security testing can expose risks across the software supply chain.
A cybersecurity webcast on how attackers exploit MSPs and trusted software dependencies to compromise small and midsize businesses.
Learn to recognize common phone-scam tactics and protect your savings from fraudulent callers.
Explore how trusted execution environments protect code and data in cloud and edge environments through hardware-assisted security and attestation.
Demonstrates AWS post-exploitation techniques for pivoting through cloud environments, stealing credentials, escalating IAM privileges, and maintaining access with the barq tool.
Use threat models and community-gathered intelligence to prioritize behavior-based detections against changing enterprise threats.
Explore how hackers bypass MFA and attack modern authentication in remote-work environments, including VPNs, session cookies, and Windows Hello for Business.
Technical defenses against model extraction attacks, showing how adversaries steal AI/ML models through APIs and how organizations detect and disrupt them.
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