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Discover how Security Champions bridge the gap between security and engineering teams, transforming application security into shared responsibility through behavioral science and culture change.
Uncover why secrets sprawl requires cross-team collaboration beyond security, exploring machine identity challenges and mapping routes to a secrets-free future.
Explore how AI agents simulate attacker mindsets, autonomously navigate kill chains, and discover vulnerabilities through reasoning rather than brute force in modern red teaming.
Discover Model Context Protocol (MCP) fundamentals for API developers in this fast-paced overview covering architecture, Agentic AI integration, and hands-on server/client building.
Discover how to transform security from a bottleneck into an enabler through modern DevSecOps practices, AI-assisted development, and the Model Context Protocol for 2025.
Discover security vulnerabilities in the Model Context Protocol (MCP) and learn how AI integrations can be exploited through unauthorized access and malicious attacks.
Discover how threat actors exploit Teams, SharePoint, E-Discovery, and OneNote during business email compromise attacks and learn detection and defense strategies for M365 environments.
Discover how to safely implement AI-powered vulnerability fixes through test-driven prompt engineering, validated remediation rules, and hybrid AI-deterministic approaches.
Uncover critical vulnerabilities in open source build pipelines through data analysis infrastructure, attack trees for GitHub Actions, and 'Living Off the Pipeline' techniques for security teams.
Explore why LLMs in application security still require human oversight despite promises of automated vulnerability detection and secure code generation.
Discover how to bridge the critical cybersecurity skills gap between academic education and industry demands, addressing workforce deficiencies in the cyber security sector.
Explore LLM security from both offensive and defensive perspectives through live demos, learning prompt injection prevention, input validation, and AI red teaming techniques.
Explore strategies for empowering women in cybersecurity leadership, addressing gender barriers, and fostering inclusive environments to enhance security innovation and organizational resilience.
Uncover how AI-generated code introduces security vulnerabilities like SQL injection and XSS, while learning to implement secure coding practices and guardrails for safe development.
Discover why LLMs fail at vulnerability management through research on false positives, dependency updates, supply chain attacks, and practical solutions for security operations.
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