Tenable
How does your experience compare with the findings from this Ponemon survey of 2410 infosec professionals? All information security professionals responsible for improving overall cybersecurity effectiveness are encouraged to attend this session.
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Application security is more than penetration testing. Organizations face a dilemma. Commercially, there is increasing pressure to shorten software release cycles, which in turn adds strain on software developers to produce faster release cycles. This in turn creates an environment where speedy release cycles take priority over
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Nopsec
Machine Learning in cybersecurity webinar presented by Sanja Nedic. THIS WEBINAR COVERED. Core concepts behind machine learning and main types of problems it can solve. Examples of real-world uses of machine learning in security to augment or replace rule-based or heuristic solutions to problems such as spam detection, intrusion detection, malware analysis, vulnerability prioritization, etc. Challenges of building reliable machine learning systems in security space.
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Handling a large number of contracts is a fact of life for most in-house attorneys – with an ever-increasing volume and tight deadlines, even before a M&A or other event triggers a voluminous contract review. But it doesn’t have to be chaotic or disorganized: with the right processes and tools you can provide strong, responsive
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