Security Boulevard
APRIL 28, 2023
Insight #1 "If we learned anything from RSA, AI is the new buzzword like “Big Data” or “Zero Trust.” It’s as bad as charging more for SSO if you are charging more for logs." Insight #3 "Having good cyber insurance is another layer of the security onion that organizations should be taking advantage of.
Security Affairs
JANUARY 17, 2022
.” The CPU will address critical vulnerabilities in Oracle Essbase, Graph Server and Client, Secure Backup, Communications Applications, Communications, Construction and Engineering, Enterprise Manager, Financial Services Applications, Fusion Middleware, Insurance Applications, PeopleSoft, Support Tools, and Utilities Applications.
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Centraleyes
MAY 6, 2024
The insurance industry is no exception. The insurance industry is built on handling our own and everyone else’s risks. As artificial intelligence shatters glass ceilings, the risks it introduces present a new paradigm to the insurance market in many different areas.
SecureWorld News
OCTOBER 20, 2021
Lastly, Accenture confirms it has cyber insurance, but if it is under-insured, the business could still face significant impacts from a cyberattack and the resulting litigation: These monetary damages might not be subject to a contractual limit of liability or an exclusion of consequential or indirect damages and could be significant.
CyberSecurity Insiders
APRIL 12, 2021
Is There Ever Too Much Data? As a security practitioner, you know that businesses are fuelled not only by people but by data. Years ago, the phrase “Big Data” was a new, innovative way to gain a business advantage. Now, big data is the norm.
eSecurity Planet
OCTOBER 11, 2022
Whether it’s studying the performance of your direct competitors, using predictive analytics to determine what the future may hold for your industry, or analyzing employee performance and making optimization decisions based on that information, the entire point is to take data in and use it to make better-informed decisions.
SecureWorld News
FEBRUARY 21, 2024
It can also process insurance claims, schedule appointments, and even recommend treatment plans. But some of these big data systems are riddled with bias that discriminate against patients based on race, gender, sexual orientation, and disability. For example, AI can analyze medical images to detect cancer or other diseases.
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