Protect your IT infrastructure from possible cyberattacks
- Detection of malware, advanced persistent threat and hidden attacks
- Numerous anomaly and threat models focused towards external threat detection
- Fully automated and continuous threat monitoring—no rules, no signatures, no human analysis
Enterprises are constantly under attack from external perpetrators such as hacktivists, cyber-criminals, and nation states. These attacks often come in the form of malware, APTs or zero-day attacks delivered through web content, phishing campaigns or removable media.
The challenge of cyberattack
The reason external attacks are successful is because attackers have become sophisticated; malware is polymorphic and programmed to evade common signatures, rules and perimeter-based defense mechanisms. Further, once within the network, attackers are able to stealthily navigate the network, compromise accounts, find valuable assets, and gradually exfiltrate data. In spite of innovations like next-generation anti-malware solutions, threat intelligence feeds, and collaboration initiatives like FS-ISAC, these “below-the-radar” attack techniques manage to evade even the smartest security tools today
Solution for cyberattack with UBA security
Splunk User Behavior Analytics (Splunk UBA) captures the footprint of these threat actors as they traverse enterprise, cloud and mobile environments, runs them through its advanced machine learning algorithms to baseline, detect deviations and find anomalies continuously.
These aberrations are then stitched into meaningful sequences over time using pattern detection and advanced correlation to reveal the actual kill chains, which are not only comprehensible but also immediately actionable.
- Account Takeover (ATO) – compromise of privileged and regular accounts by external, malicious entity
- Lateral Movement – navigation of malware within a network
- Command and Control Activity – periodic beaconing activity by malware to communicate with CnC infrastructure
- Data Exfiltration – the act of stealing private, confidential and sensitive data within an organization by malware or an attacker
- Browser Exploits and Malware Activity – infection discovery of polymorphic attacks and advanced persistent threats (APTs)
Why Behavior Analytics from Splunk for Cybersecurity?
The entire lifecycle of security operations: prevention, detection, response, mitigation, to the ongoing feedback loop, must be unified by continuous monitoring and advanced analytics to provide context-aware intelligence. Splunk can provide the data platform and security analytics capabilities needed to allow organizations to monitor, alert, analyze, investigate, respond, share, and detect known and unknown threats regardless of organizational size or skillset.
Avoid the kill chain
A kill chain is a sequence of malicious activities resulting in a breach. Frequently, there are several events in each stage of the sequence that reveal the path and behavior of an attacker.
In contrast to alerts corresponding to violations of known thresholds, a behavior-based threat detection approach uses machine learning with extreme context awareness, thereby maximizing the probability of finding true, hidden threats while greatly minimizing the rate of false positives.
Account takeover is one of the most significant debilitating challenges we face as a major B2C company; the resulting cyber-fraud costs us millions and current security tools are no longer able to keep up with today’s sophisticated attacker. A new, behavior-based paradigm is what we need.
major consumer financial company