Machine learning security systems address the limitations of traditional threat detection

Machine learning security systems address the limitations of traditional threat detection

The need for security convergence and shared threat intelligence is markedly increasing “Converged security” has been a buzz phrase for more than a decade, but the industry is just now starting to reap the rewards. Converged security recognises that truly comprehensive organisational risk management involves the integration of two distinct security functions that have largely been siloed in the past: information security (network operations centre or NOC) and physical security (security operations centre or SOC). In fact, “siloed” may be a nicer way of saying that these people historically have had no desire or ability to work together. NOC and SOC convergence That situation has been acceptable in the past but the need, and in some cases requirement, for security convergence and shared threat intelligence is markedly increasing and clearly…


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