Keeping Up With Constantly Changing Security Threats
Today's sophisticated attackers continue to circumvent perimeter defenses and target the data and applications at the heart of your business. Their goal is to attack the very systems and data that help you to create and keep customers, manage and create intellectual property, and maintain a positive cash flow.
To meet this challenge, security teams are using big data solutions to collect and analyze raw data from across the business. The most advanced security approaches rely on a single system to collect and analyze data across all IT systems. This avoids the traditional problem of having multiple, disconnected security systems. It also provides the most complete picture of your organization's security posture and allows you to respond quickly to both known and unknown threats.
Make All Data Security Relevant Without Limits
There are four classes of data required for effective data security decision-making—system and application log data, binary data (flowdata and packet data), threat intelligence data and context data. Gaining valuable security insights from these four data types requires a solution that can handle data at volumes, velocities, and varieties beyond the traditional SIEM. Reactive solutions that are tied to upfront normalization, exact-match rule sets, and rigid database schema for reporting and alerting are no longer adequate. To fully address fraud and current and future insider threats requires that you look past the obvious to ask questions of your data that represent IT risk scenarios relevant to the security of your business.
Tens or even hundreds of terabytes of data are produced each day by users accessing IT services. Defending against threats within this environment requires that you know what is and isn't "normal" behavior. It also means being able to detect and respond to anomalies in a timely fashion.
It's not just threats from the outside that security teams must face. The daily data generated by the activity from users across the organization can also contain unauthorized data access attempts, unusual amounts of data transferred between hosts, or web traffic that's suddenly different from the norm. What's more, these kind of attacks are on the rise and are becoming a common security problem. According to a recent report by Enterprise Strategy Group (ESG), 59% of organizations with more than 1,000 employees have likely been targeted by an advanced security threat.
Only Splunk provides statistical analysis and pattern detection capabilities to help you decide when to conduct an investigation into an advanced threat or malicious insider. Learn More »
Many log management and SIEM solutions operate in an organization's security operations center (SOC) for tracking and reporting on specific metrics. However, these solutions are often not prepared to analyze raw data quickly enough for effective incident response. Responders and analysts are required to prioritize and handle alerts or potential security incidents. They typically rely on tools from basic Unix commands like grep, awk and sed in the Unix world to a variety of Microsoft tools to perform ad-hoc search across disparate and unstructured data sets. The Splunk solution is an efficient alternative to this manual approach. Splunk can help SOC personal respond to incidents faster and more cost effectively by indexing all data sources across the security and IT stack to quickly find the needle in the haystack. Learn More »
According to the Verizon Data Breach report, almost half of all data breaches go undetected for months. Splunk Enterprise combined with the Splunk App for Enterprise Security creates a security intelligence platform capable of monitoring for known threats as reported by your security point solutions and unknown threats detected through statistical analysis. This combination can accept any log data without normalization. The Splunk solution can scale to collect tens of terabytes of data per day and act as a single solution for both security and IT operations. Learn More »
Meeting compliance regulations means monitoring people, processes and technology to ensure that users are accessing only the data they need, when they need it. Because all of the human-to-machine and machine-to-machine interactions are logged, the requirements for securing and storing log data are at the heart of most compliance regulations.
Compliance audits can be challenging since they typically cross the disparate data, systems and activities of IT operations and security. It is not unusual to have separate audit teams using different tools audit the same data for different compliance mandates.
Splunk allows you to conduct compliance audits and meet all compliance requirements—from audit trail collection and reporting, to file integrity monitoring—with a single solution. Learn More »
- Splunk for Security - Solution Guide
- Splunk App for Enterprise Security - Fact Sheet
- Advance Persistent Threats - Tech Brief
- Using Splunk as a SIEM - Tech Brief
- Unum & Interac on Using Machine Data for IT Security
- Splunk App for Enterprise Security
- PCI as a Cornerstone to Enterprise Security
- How to Unleash the Promise of Security Analytics
- How Splunk is Used for Compliance
- SANS.org Whitepaper: Discovering Security Events of Interest Using Splunk
- SANS.org Webcast: Business Risk: The Big Data View
- SANS.org Webcast: Results of the SANS SCADA Security Survey
- SANS.org Webcast: Exploring "big data" security analytics: Use cases and more
- SANS.org Webcast: Security and Big Data: What's all the Hype About?
- ISMG Webcast: Unknown Threats: The Ultimate Security Challenge