McAfee

MAY 17, 2021

And to go back in time effectively, logged events of these activities can be more easily accessed if the events are stored centrally and for an appropriate longevity. Next, because the data sources are so disparate, SIEMs can be used to correlate activities among usually unrelated feeds. Go Where The Data Is – At the Source.

Architecture 78

Architecture Technology Artificial Intelligence Surveillance 78

eSecurity Planet

MARCH 17, 2023

These platforms make it possible for security teams to analyze consolidated threat feeds from various external alerts and log events. With faster response times, a more centralized platform, and artificial intelligence-powered workflows, many companies select XDR tools to optimize or go beyond what their SIEM and UEBA tools can do.

Network Security 117

Network Security Penetration Testing Firewall Antivirus 117

Security Boulevard

JANUARY 18, 2024

API production and usage will continue to increase rapidly, especially as many organizations in 2024 adopt more AI (artificial intelligence) driven processes and solutions in their business. AI needs data, and APIs are the vehicle for that data - and much of that data will be business critical or sensitive data.

Risk 59

Risk Government Artificial Intelligence Threat Detection 59

SecureWorld News

APRIL 30, 2023

DCAP collects a stream of metadata about users and groups, statistical information, activity data enriched with information from directory services. Many vendors use the power of artificial intelligence to identify and sort data. DLPs are often focused on checking data that crosses the perimeter.

Technology 79

Technology Unstructured Data Data breaches Information Security 79

Spinone

JUNE 8, 2018

From identity theft to credit card numbers being taken away, Machine Learning and Artificial Intelligence play an instrumental role in establishing new standards for cyber security. While the potential of Big Data is vast, it might lag behind as a standalone tool to deal with hackers due to the enormous volume of data to analyze.

Big data 40

Big data Artificial Intelligence Cyber Attacks Identity Theft 40

Privacy and Cybersecurity Law

MARCH 23, 2018

Organizations must be better prepared for cybersecurity incidents, which can result from unintentional events or deliberate attacks by insiders or third parties, such as cyber criminals, competitors, nation-states, and “hacktivists.” 23% of respondents say they do not currently have a CISO or security leader.

Cybersecurity 40

Cybersecurity Artificial Intelligence Data breaches IoT 40

eSecurity Planet

MAY 5, 2021

This next-gen solution uses patented artificial intelligence (AI) to analyze log data in real-time to identify and respond to threats as they arise. The Atlas platform collects and analyzes data from clients’ systems and the vendor’s global threat sources help orchestrate threat response capabilities.

Threat Detection 56

Threat Detection Technology Artificial Intelligence Cybersecurity 56

ForAllSecure

NOVEMBER 18, 2021

So of course when I saw that some researchers were presenting a talk at SecTor 2021 in Toronto on defeating biometrics with artificial intelligence, well I knew I had to talk to them as well. The idea was to see whether a computer could possess a level of artificial intelligence that can mimic human responses under specific conditions.

Hacking 52

Hacking Authentication Artificial Intelligence Technology 52