Anuj Malkapuram and Anton Chuvakin discuss the role machine learning has in threat management and the skills needed in new cybersecurity hires.
by Nikhil Chawla
Security practitioners, particularly incident responders, are awash in data. Historically, security event management (SEM) and in the last decade security information event management (SIEM) has been the industry’s response to getting signal from big and fast moving data. Think of signal as finding the needle in the haystack. The problem really is that there are too many needles. So, it becomes the needle in the needle stack. Meaning, there are so many alerts firing off…you don’t know which one matters. Advancements in analytics like machine learning coupled with the cloud (scale) have the promise to help.
Anton is the leading voice on this topic as an analyst now product leader at Google. Anuj is the person in the salt mines fighting the good fight. He runs one of the largest security analytics orgs in the world as SFDC. He also represents a modern threat hunter…who bring security, software development and data science together. The represent two sides of one “security information and event management” coin so to speak.
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Quantum computing is on the horizon and with it comes a seismic shift in how organizations must think about cybersecurity risk. The ability of future quantum machines to break today’s cryptographic protections–what we call quantum decryption–could undermine the trust, confidentiality, and resilience of digital business. As part of Cybersecurity Awareness Month, throughout October we are […]
On October 6, 2025, hackers demanded ransom from Salesforce for nearly one billion stolen customer records. The company’s response was unequivocal: no payment, no negotiation. While the refusal made headlines, the more important question is why Salesforce—and increasingly, other mature organizations—are walking away from the table when criminals offer to “suppress” stolen data. The answer […]
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