{"id":79257,"date":"2023-06-30T05:36:00","date_gmt":"2023-06-30T12:36:00","guid":{"rendered":"https:\/\/forescoutstage.wpengine.com\/website-refresh\/ot-security-copy\/"},"modified":"2025-07-23T10:47:16","modified_gmt":"2025-07-23T14:47:16","slug":"siem-modernization","status":"publish","type":"page","link":"https:\/\/www.forescout.com\/solutions\/siem-modernization\/","title":{"rendered":"SIEM Modernization"},"content":{"rendered":"

SIEM Modernization<\/h1>\n

Say goodbye to legacy SIEM costs and frustrations with a cloud-native, next-gen SIEM\/Threat Detection & Response<\/h3>\n

Legacy SIEM (security information and event management) technology is outdated. While adequate for log management and compliance requirements, traditional SIEMs were never designed to keep up with the overwhelming volume of data in present-day security operations centers (SOCs). As a result, they kick out way too much noise. Tired of chasing down false positives, analysts end up ignoring or turning off alerts, at the risk of a data breach or cyberattack that should have been prevented.<\/p>\n

Schedule a demo <\/p>\n

\u00a0<\/p>\n

Top 3 Frustrations with Legacy SIEMs<\/h2>\n

The initial driver behind SIEM products in 2005 was log storage for compliance reporting. Despite advances, legacy SIEMs still cost too much, are hard to configure and produce too many alerts, making threat detection difficult and time consuming. What\u2019s more, the average SIEM fails to detect as much as 76% of attacker TTPs1<\/sup>. Security teams are looking for a better approach that meets modern threat detection requirements.<\/p>\n

\"Storage<\/p>\n

Storage and
\nMaintenance Costs<\/h3>\n

In addition to excessive and variable log storage costs, SIEMs require ongoing maintenance and management to remain effective.<\/p>\n

\"Alert<\/p>\n

Alert
\nFatigue<\/h3>\n

The average SOC team receives 11,000 alerts a day, or 450 alerts an hour,1 without the context needed to know severity and prioritize true threats.<\/p>\n

\"Complex<\/p>\n

Complex
\nConfiguration<\/h3>\n

Many SIEMS start out as black boxes with a few starter rules and no data sources. Rule tuning and onboarding data feeds for threat detection is costly and laborious.<\/p>\n

SIEM vs. Next-Gen SIEM Comparison*<\/h2>\n

At first glance, a Threat Detection & Response tool may look like a SIEM. Both take in telemetry from across an organization\u2019s security stack to better detect threats. What they do with that data varies widely.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/th>\nSIEM<\/th>\nNext-Gen SIEM\/Threat Detection & Response<\/th>\n<\/tr>\n<\/thead>\n
Primary Use Case<\/th>\nCollect and analyze log data from various security systems and devices for correlation.<\/td>\nCombine endpoint, network and cloud data to detect, investigate and respond to threats.<\/td>\n<\/tr>\n
Data Sources<\/th>\nPrimarily focuses on log data from security devices, applications, and infrastructure.<\/td>\nCollects data from endpoints, networks, cloud environments and other security solutions, along with infrastructure and applications.<\/td>\n<\/tr>\n
Threat Detection<\/th>\nOften lack context needed to detect patterns and understand threat severity, impeding security team\u2019s ability to prioritize investigation and response.<\/td>\nA blend of threat detection techniques, including signatures, threat intel, behavioral analysis and machine learning\/AI-powered analytics for superior incident correlation and advanced threat detection.<\/td>\n<\/tr>\n
Incident Investigation<\/th>\nSecurity teams manually investigate incidents by correlating events from multiple sources.<\/td>\nProvides a unified analyst-centric platform, with rich contextual data and investigative and analytical tools, to investigate incidents, correlate data and respond to threats.<\/td>\n<\/tr>\n
Incident Response<\/th>\nLimited automation capabilities; relies on manual response actions or third-party integrations.<\/td>\nAutomated response actions, such as isolating compromised devices, based on detected threats.<\/td>\n<\/tr>\n
Scalability<\/th>\nMay struggle with high volume and variety of log data, leading to excessive noise and false positives.<\/td>\nDesigned to handle massive volumes of data in a hyper-scalable, cloud-based data lake, with nothing to deploy.<\/td>\n<\/tr>\n
Visibility<\/th>\nLimited to the logs and data collected from SIEM-connected sources, resulting in blind spots that limit ability to detect threats.<\/td>\nComprehensive visibility into endpoints, including IT, OT, IoT and IoMT, along with networks and cloud environments.<\/td>\n<\/tr>\n
Ecosystem Integration <\/th>\nTypically integrates with a wide range of security tools to collect and correlate log data.<\/td>\nIntegrates with other security solutions for improved threat detection, response and visibility.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Every next-gen SIEM is different. Forescout Threat Detection & Response combines vendor- and EDR-agnostic support for 180+ data sources with predictable, endpoint-based pricing; automated data normalization and enrichment; 1,500+ verified rules and models; and a two-stage threat detection engine to weed out false positives and identify true threats.<\/p>\n

A Phased Approach to SIEM Modernization<\/h2>\n

Not ready to replace your SIEM, which is also used outside the SOC for log storage and other operational requirements? Consider a phased transition.<\/p>\n

With Forescout Threat Detection & Response, you can reduce the quantity of logs sent to your legacy SIEM, which reduces storage costs. The Forescout TDR license fee is based on the total number of endpoints in your organization. There are no penalties for sending more logs in support of better threat detection.<\/p>\n

Phase 1: Leverage<\/h4>\n

Continue to leverage your existing SIEM, while leveraging additional data sources via Forescout Threat Detection & Response that are not currently used or supported by your SIEM, for better detection and faster response of true threats.<\/p>\n

\"SIEM<\/p>\n

SIEM-Related Savings \u2013 $<\/h5>\n\n