Prioritized threat detection

Many Security Information and Event Management (SIEM) products require extensive data source integration projects and fail to detect new devices and suspicious activity due to insufficient data or inadequate analytics. This can result in unacceptable delays between cyber incidents and detection.

Ponemon Institute has reported that many attackers, which use “low and slow” techniques to avoid detection, can be inside of their victim’s networks and devices for up to 256 days before detection, and then it can take another 82 days to contain and remediate the damage. In many cases, it was discovered that the data to indicate the attacks were underway was available to security analysts—but they lacked the technology and knowledge to pull key indicators of compromise out of the data1.

IBM Security QRadar XDR provides real-time detection across hundreds of data sources by discovering, interpreting and classifying network assets, devices, users and applications, in real time. It can analyse and correlate data across hundreds of security use cases, identifying known and unknown threats automatically. IBM Security QRadar XDR also links multiple malicious behaviours, prioritising events into a few actionable offences sorted by importance and business impact, which is the key to detecting critical incidents while reducing alert quantity. And it allows clients to customise their rules and tailor anomaly detection settings according to environmental baselines.

According to Forrester’s Total Economic Impact of IBM Security QRadar XDR report, “IBM Security QRadar XDR improves the speed and effectiveness of detecting threats by nearly 75%.”