Businesses spend billions each year on identity and access management, but almost all of this money is spent on protecting the digital identities of humans - usernames and passwords.
On the other hand, businesses spend almost nothing on protecting machine identities, even though our entire digital economy hinges...
Abhirukt Sapru, head of business development at Tessian, describes the use of machine learning to help prevent highly sensitive information from being sent to the wrong person via email.
What matters most, right now, to the information security community? At RSA 2018, RSA's president said WannaCry was a wakeup call for vulnerability and risk management. Other experts see artificial intelligence, machine learning and secure coding as hot trends.
Security hygiene can be poor, and criminals know it. Fraudulent activity costs are in the billions worldwide across industries, and over 16 million consumers in the US were victims of identity theft or fraud in the past year. Learning to onboard new data at the speed of the business will ensure your fraud team can...
Despite increasing investment in cyber security tools for the data center, we continue to see a rise in data breaches and their related costs, specifically those relating to the insider threat: accidental loss, misdirected content and the malicious insider. These types of incidents contribute up to 80% of all breached...
Artificial intelligence can help the security community tackle the skills shortage and is also essential to fighting the volume and sophistication of cyberattacks, says Gary Weiss of OpenText.
To combat credential stuffing and other types of rising attacks, organizations need data - and lots of it - to feed machine learning and artificial intelligence algorithms to better detect these types of high volume attacks, says Shape Security's Dan Woods.
Alert fatigue is a serious problem in terms of risk management and security analyst turnover. Ted Julian of IBM Resilient discusses how artificial intelligence and machine learning can assist with orchestration and automation.
Hot cybersecurity trends under discussion at this year's RSA Conference include artificial intelligence, facial recognition, protecting not just data but also knowledge, as well as rapid data breach response, says Chris Pierson, CEO of Binary Sun Cyber Risk Advisors.
The terms artificial intelligence and machine learning are in abundant supply at this year's RSA Conference. Sam Curry of Cybereason cut through the hype to explain how he sees these technologies augmenting cybersecurity.
Organizations too often prioritize data breach prevention at the expense of data breach response - or vice versa, depending on current fashion - when an emphasis on both remains mandatory, warns Art Coviello, the retired chairman of RSA.
We have been talking about the cybersecurity skills gap for a decade, but the pain is truly being felt now as businesses churn out new apps with insufficient security, says WhiteHat Security's Craig Hinkley. What is machine learning's role?
Organizations in various industries are under increased pressure to identify subtle patterns that indicate fraud before their customers are affected by a variety of threats including account takeover, identity theft, and application fraud.
Many companies are turning to Machine Learning (ML) to help them stay one step...
For the past year, the buzz about artificial intelligence and machine learning has been overwhelming. But Ricardo Villadiego of Cyxtera sees promise in how these technologies can help organizations fight back against fraudsters.
Our website uses cookies. Cookies enable us to provide the best experience possible and help us understand how visitors use our website. By browsing bankinfosecurity.asia, you agree to our use of cookies.
