Security
Intelligence Services

Stay a step ahead of Cyber Threats and accelerate security operations with speed accuracy and insights with IBM QRadar

Gain comprehensive visibility into on-premises and cloud environments.

Identify and prioritize known and unknown threats with advanced analytics.

Scale security monitoring, detection and investigation.

Gain actionable insights, quickly identify the top threats and reduce the total alert volume

See everything

Gain comprehensive visibility into enterprise data across on-premises and cloud-based environments from behind a single pane of glass.

Automate intelligence

Detect known and unknown threats, go beyond individual alerts to identify and prioritize potential incidents, and apply AI to accelerate investigation processes by 50%.

Become proactive

Gain closed-loop feedback to continuously improve detection, and use the time savings from automated security intelligence to proactively hunt threats and automate containment processes.

Monitor, detect and investigate threats

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Security analytics on the rise

The evolution of attack tactics coupled with poor threat visibility keeps defenders on their toes. As a result, security analytics—which collects security data and transforms it into actionable threat insights—is becoming a priority for security teams. The ability to identify attacks quickly and accurately empowers security teams to respond before major damage is done. Accurate threat visibility has been a core capability of the IBM QRadar Security Intelligence Service Platform since its inception. The solution has been deployed by thousands of security teams around the world to automatically identify, scope and prioritize threats.

Data as the foundation:
Benefits and challenges

The first step in security analytics is collecting the right data. To gain visibility into the different pillars of enterprise IT environments, IBM QRadar ingests data from a broad set of information sources. Most of these data sources are readily available, and each offers unique insight.

Benefits of Security Intelligence Services

Network Data

Network Data produced by firewalls, gateways, routers or through sensors can deliver a broadview of communication flows inbound, outbound and within the enterprise environment.

Endpoint Data

Endpoint data is typically generated by operating systems and provides deep insights into individual system activity, processes, configuration changes, running applications and individual user interactions on a system.

Cloud Data

Cloud data produced by IaaS or SaaS providers allows security and cloud teams to monitor and retain all activity across their cloud infrastructures.

User and identity Data

User and identity data ingested from Active Directory, LDAP or other identity and access management (IAM) solutions provide a contextual understanding of the person or resource behind a logon ID.

Application Data

Application data can help expose fraud or advanced attacks by providing insights into what is happening on a system beyond access and authentication activity.

Security Data

Security data typically originates from specific security controls such as antivirus tools, vulnerability scanners, intrusion detection systems, malware sandboxing solutions or data loss prevention systems.

Threat Intelligence

Threat intelligence, often consumed by analysts through external feeds, offers insights into known threat actors, tactics, techniques and procedures (TTPs), malicious assets (IP, URL and FQDN) and even goals.

Challenges

Volume

Even small environments with hundreds of users can create a lot of data.

Data Complexity

The fact that each data source provides insights solely into its own IT function can make building full enterprise visibility a challenge.

Missing Business Context

Business context data is not always easily accessible, may be distributed over various sources or may be buried in undocumented institutional knowledge.

Lack of Analytics Processes

Security analytics requires a process to discover potential threats & prove or disprove their credibility. Not all organizations have the automated steps needed to sort through large volumes of complex data.

Adversaries living off the land

Attackers are continuously changing their tactics, exploiting users and crafting short-lived weaponized tools to evade prevention and detection mechanisms.

QRadar integrated analytics processes

Processing of the data can be classified into three integrated analytics groups:
– Monitoring: provides insights into who is on the network, what is happening and the presence of potential risks.
– Detection : Real-time and historical threat detection, Deviation from normal behavior, Advanced network analysis, Risk-based detection and prioritization.
– Investigation: automated investigation of observables within an Offense to help analysts make faster, more informed decisions about what to do next.