Hardware authentication and user behavior analytics are among top promising security technologies that Michael Prakhye, CISO at Adventist HealthCare, will closely examine in the year ahead.
What's ahead for the cybersecurity landscape in 2019? We've received many lists of predictions from vendors and analysts for next year, and we've picked out five of the most interesting ones.
Open source components help developers build and deploy applications faster, but with increased speed comes greater risk. Maria Loughlin of Veracode describes how to reduce those risks through several steps, including component inventories and developer education.
Application threat modeling enables the systematic evaluation of applications from an attacker's point of view, says Fouad Khalil of SecurityScorecard.
Security operations centers are the hub for an organization's threat detection. But organizations can take a number of steps to improve SOC operations, says Kerry Matre of Palo Alto Networks.
User behavioral analytics can help better detect indicators of potential threats, both external and internal, says Carl Leonard, principal security analyst at Forcepoint.
Aite Group's Shirley Inscoe predicts that more banks will implement robotic process automation in 2019 to make fraud investigations more efficient. She explains how the technology can help.
For the past three years, hackers have been intercepting sensitive diplomatic cables sent between EU member states after stealing passwords for accessing the EU network via a phishing attack against diplomats in Cyprus, The New York Times reports.
Twitter says that an unspecified number of its users may have been targeted by state-sponsored hackers seeking to unmask their identity. Separately, Trend Micro says Twitter has blocked an account that was posting image memes designed to remotely control malware-infected PCs.
DigiCert just conducted a global study of how organizations across sectors are approaching IoT security. What are some of the best practices of the organizations that emphasize securing connected devices? Mike Nelson of DigiCert shares the findings.
By building in some risk intelligence upfront, organizations can upgrade their security operations centers and reduce the noise from the sheer volume of alerts and false positives, says Ganesh Prasad of RSA, who shares insights.
The data being used to drive effective anti-fraud efforts can be rich in context and useful for other activities. Jim Apger of Splunk describes emerging fraud schemes and solutions, highlighting the role of machine learning.
Hackers have been plugging inexpensive hardware into banks' local area networks to help perpetrate heists that have stolen tens of millions of dollars, warns Kaspersky Lab. It says that since 2017, the "DarkVishnya" attack campaign has hit at least eight Eastern European banks.
The easy availability of tools for designing face-swapping deep-fake videos drove Symantec security researchers Vijay Thaware and Niranjan Agnihotri to design a tool for spotting deep fakes, which they described in a briefing at the Black Hat Europe 2018 conference in London.
Hampered by insufficient tools and skills, many organizations are now investing in managed detection and response solutions. What questions should they ask when selecting a partner? Sharda Tickoo of Trend Micro shares insights.
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