For our RSA wrap-up, we summarized some key points and takeaways about emerging trends such as the IoT, security analytics and the IT skills shortage.
Automation and analytics can help IT professionals speed up and solidify their data protection programs and prepare for regulatory audits.
IBM QRadar Network Insights enables security professionals to analyze historical threat data and identify indicators of malicious activity in real time.
Big data solutions can aggregate, index and analyze many types of data to produce advanced business insights. This makes them juicy targets for fraudsters.
IT professionals are turning to machine learning solutions to help them reduce the rate of false positives and monitor huge volumes of data in real time.
Machine learning is an invaluable analytical tool, but problems can arise from its inability to reason beyond the scope of its classification algorithms.
Cybersecurity threats come from all sides — even from within the network. Behavior analytics empowers IT teams with full visibility across the IT ecosystem.
A properly implemented threat intelligence feed can help security analysts distinguish between white noise and potentially harmful traffic on the network.
Machine learning relies on data acquisition and classification of examples to help security teams and threat analysts reduce the rate of false positives.
The PassiveTotal app integrates threat intelligence with internet infrastructure data to help security teams speed up security incident investigations.