
The Evolution of Integrated Risk Management (IRM): Moving Beyond Silos to Achieve Enterprise Resilience
Move beyond silos. Build enterprise resilience.
Get the new EM360Tech report on Integrated Risk Management. See how to connect risk data, align with strategy, and act faster with a clear roadmap, maturity guidance, and vendor-neutral selection criteria.
- The cost of silos and how to fix it
- What a mature IRM programme looks like
- A phased roadmap you can execute in 1–3 years
- How to choose technology that scales
- Where AI and automation add value
Get the new EM360Tech report on Integrated Risk Management. See how to connect risk data, align with strategy, and act faster with a clear roadmap, maturity guidance, and vendor-neutral selection criteria.
- The cost of silos and how to fix it
- What a mature IRM programme looks like
- A phased roadmap you can execute in 1–3 years
- How to choose technology that scales
- Where AI and automation add value

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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