Cisco Security Operations Center
GPTKB entity
Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Research_Institute
|
| gptkbp:analyzes |
user behavior analytics
network traffic malware threats security data |
| gptkbp:collaborates_with |
law enforcement
|
| gptkbp:conducts |
security audits
penetration testing |
| gptkbp:delivers |
security awareness training
|
| gptkbp:develops |
security policies
security strategies |
| gptkbp:employs |
security analysts
|
| gptkbp:engagesIn |
incident management
business continuity planning vulnerability management security research threat hunting security awareness campaigns |
| gptkbp:has |
global reach
|
| gptkbp:has_a_focus_on |
risk management
|
| https://www.w3.org/2000/01/rdf-schema#label |
Cisco Security Operations Center
|
| gptkbp:integration |
gptkb:Cisco_security_products
|
| gptkbp:monitors |
cloud environments
network security IoT security endpoint security |
| gptkbp:offers |
identity and access management
threat intelligence cloud security solutions managed security services security architecture design security operations training cyber threat intelligence services managed detection and response (MDR) services |
| gptkbp:operates |
24/7
|
| gptkbp:partOf |
gptkb:Cisco_Systems
|
| gptkbp:provides |
incident response
risk assessments cybersecurity services vulnerability assessments data protection services security consulting services security incident reporting security metrics and reporting security posture assessments forensic_analysis |
| gptkbp:respondsTo |
security incidents
|
| gptkbp:supports |
compliance requirements
threat detection incident response teams |
| gptkbp:uses |
machine learning
|
| gptkbp:utilizes |
network segmentation
advanced analytics security information and event management (SIEM) threat intelligence platforms data loss prevention (DLP) solutions incident response tools automated response systems |