Cloud Security NY schedule

•    Unified Security Posture: Strategies for integrating MDM with cloud security protocols to protect enterprise data.
•    Real-World Applications: Examples of successful MDM implementations enhancing security in diverse industries.
Sean Greenberg, Senior Cloud Security Engineer, Practice Lead Cloud Security, CERBERUS CAPITAL MANAGEMENT

•    Consuming global threat feeds and IOCs for proactive defense
•    Correlating threat intel with cloud telemetry data
•    Adjusting controls dynamically based on emerging threats

A technical demonstration of how SecOps and DevOps teams can use a powerful mix of Azure technologies to monitor their cloud environment and automate remediation actions for suspicious activity
Felipe G, Cyber Security Engineer, CHUBB

•    Understanding CCPA, state-level privacy regulations, and their impact
•    Applying controls to safeguard personal data in the cloud
•    Mapping compliance requirements to cloud service configurations

•    How can organizations innovate rapidly in the cloud without compromising security or regulatory compliance?
•    How can businesses design cloud infrastructures to withstand disruptions, ransomware attacks, and evolving threat landscapes?
•    What are the best practices for fostering cross-team collaboration and ensuring everyone is invested in secure outcomes?
•    How will emerging technologies like AI-driven security analytics, post-quantum cryptography, and zero trust frameworks shape the next generation of cloud security?
Vinay Venkatesh, Director, Technology – DevSecOps, Cloud – Site Reliability, Observability Engineering, EVELANCE HEALTH
Bijit Ghosh, Chief Technology Officer, Global Head of Cloud Product & Engineering &
AI/ML, DEUTSCHE BANK
Sean Greenberg, Senior Cloud Security Engineer, Practice Lead Cloud Security, CERBERUS CAPITAL MANAGEMENT

•    Designing unified security frameworks across AWS, Azure, GCP
•    Implementing centralized visibility and monitoring solutions
•    Harmonizing controls and governance to reduce complexity

•    Collecting and preserving evidence in cloud environments
•    Analyzing root causes to prevent repeat breaches
•    Integrating lessons learned into improved playbooks and policies

•    Verifying every user, device, and service request
•    Using adaptive authentication and continuous verification
•    Minimizing implicit trust zones within the network

•    Assessing vendors based on security posture and compliance
•    Drafting SLAs and contracts with clear security expectations
•    Continuously monitoring vendor risk via automated checks

•    Embedding privacy considerations into system and app design
•    Minimizing data collection and applying anonymization techniques
•    Conducting privacy impact assessments for cloud services

•    Understanding the potential impacts of quantum computing on encryption
•    Exploring post-quantum cryptographic algorithms
•    Future-proofing data and communications against quantum threats