IBM Big Data Hub

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements. But what is an anomaly and why is detecting it important?

Unstructured data 69

Unstructured data Artificial Intelligence Sales Manufacturing 69

eSecurity Planet

NOVEMBER 10, 2023

Log monitoring and threat intelligence are at the core of many cybersecurity tools, as they offer rich sources of data for the tools to use and learn from. Anomaly Detection: Unusual patterns or behaviors can be detected, helping to identify insider threats and advanced persistent threats.

Security 92

Security Cloud Compliance Risk 92

eSecurity Planet

DECEMBER 8, 2023

Isolation also improves monitoring and anomaly detection because it reduces server activity in general. However, the period should be shorter than monthly for timely detection of attacks. In addition to best practices, the local DNS servers should explicitly define and allowlist specific external DNS resolvers or DNS services.

Security 97

Security Encryption Authentication Access 97

eSecurity Planet

JUNE 9, 2023

Cloud native application protection platforms (CNAPP) give enterprises the tools and functionality they need to protect their cloud applications and workloads from security threats. Securing cloud-native apps requires an extensive approach that goes well beyond basic security solutions.

Cloud 85

Cloud Compliance Analytics Risk 85

ForAllSecure

NOVEMBER 18, 2021

If an adversarial actor wants to simulate user behavior, that actor can use techniques similar to those that a behavioral biometrics firm would use to detect abnormal usage. The idea was to see whether a computer could possess a level of artificial intelligence that can mimic human responses under specific conditions.

Authentication 52

Authentication Passwords Artificial Intelligence IT 52

IBM Big Data Hub

AUGUST 3, 2023

Using techniques that include artificial intelligence (AI) , machine learning (ML) , natural language processing (NLP) and network analytics, it generates a master inventory of sensitive data down to the PII or data-element level. Use at-source monitoring for sensitive data with Guardium S-TAP and external S-TAP agents.

Cloud 60

Cloud Compliance Analytics Data breaches 60