The Compliance Conundrum in the Cloud Era: Governance and Adapting to Regulatory Volatility
Automate compliance. Strengthen resilience.
Get the new EM360Tech report on cloud and hybrid compliance. Learn how to replace manual audits with continuous assurance, automate evidence collection, and govern controls with confidence in a volatile regulatory landscape.
- Why manual compliance can’t keep up
- How automation transforms assurance and reporting
- Practical governance models for automated controls
- Managing data sovereignty across jurisdictions
- Strategies for adapting to regulatory change
Get the new EM360Tech report on cloud and hybrid compliance. Learn how to replace manual audits with continuous assurance, automate evidence collection, and govern controls with confidence in a volatile regulatory landscape.
- Why manual compliance can’t keep up
- How automation transforms assurance and reporting
- Practical governance models for automated controls
- Managing data sovereignty across jurisdictions
- Strategies for adapting to regulatory change
Deep Instinct
Areas of expertise
About
Deep Instinct is the first company to apply deep learning to cybersecurity. Deep learning is inspired by the brain’s ability to learn. Once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct’s artificial brain learns to detect any type of cyber threat, its prediction capabilities become instinctive. As a result, zero-day and APT attacks are detected and prevented in real-time with unmatched accuracy. Deep Instinct brings a completely new approach to cybersecurity that is proactive and predictive. Deep Instinct provides comprehensive defense that is designed to protect against the most evasive unknown malware in real-time, across an organization’s endpoints, servers, and mobile devices. Deep learning’s capabilities of identifying malware from any data source results in comprehensive protection on any device, any platform, and operating system.
Industry Gurus
Dr Jacqui Taylor
Ryan Raiker
Avery Smith
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