Threat Stack is now F5 Distributed Cloud App Infrastructure Protection! Starting today, follow us @F5 to learn how AIP is a critical part of F5’s cloud-native offerings—because applications are only as secure as the infrastructure they run on.
Stratasan’s Security and Compliance Solution
Threat Stack + F5's application infrastructure protection platform was a perfect fit for Stratasan's HIPAA compliance.
#cybersecurity#healthcarecybersecurity#hipaacompliance
https://t.co/hhepmUUp1O
The benefits of working on the cloud far outweigh the risks, yet recent crypto-jacks and cyber-attacks on both the app/API and infrastructure levels prove how fragile cloud-based operations can be.
#cloudnativecybersecurity
https://t.co/fUNjDzQu11
Cloud-based cybersecurity requires application infrastructure protection as well as application and API protection. Threat Stack + F5
#ApplicationInfrastructureProtection#CloudSecurity
https://t.co/5YkqcauM0j
Genesys cloud security monitoring...
- Reduced MTTR and MTTK by 75%
- Created full cloud security monitoring and coverage across AWS environment
- Freed up security analysts for more pressing company projects
Download a Printable MTTK Case Study
https://t.co/jwtYkgHd4F
Lacework claims that the Threat Stack approach to #cybersecurity is “fairy dust.” Here's why we believe that we have a more comprehensive solution to vulnerability and #threatdetection than Lacework:
https://t.co/kvUk28Vb0T
Cyberattacks, especially crypto heists, are increasingly appearing in the news. Here are 6 simple steps to keep your company cyber-safe from crypto-jacks and other cyber-attacks.
#HarmonyCryptoMining#HarmonyCyberAttack
https://t.co/LcEfIX2vg5
This video shows how one company created a compliance framework for #SOC2, then used that framework as a template for other compliance requirements, including #HIPAA. #CloudCyberSecurity
https://t.co/2NJOYWFVSJ
The future of Cloud-Native #CyberSecurity arrives with ThreatML with #SupervisedLearning. Learn how ThreatML with supervised learning classifies and labels rules to “teach” an inference engine not only how to detect anomalies, but to predict behavior.
https://t.co/tbEuL2dB64
#DevSecOps teams working on cyber security solutions face increased workloads, resource drain, and task burden. This brief video discusses how ThreatML with #SupervisedLearning increases the effectiveness of cyber-security teams. #CloudCyberSecurity
https://t.co/u3FRXqfmzk
Use Threat Stack’s new ThreatML with #SupervisedLearning for cloud security to gain high-efficacy alerts and #IntrusionDetection for compliance audits while avoiding false negatives/positives causing alert fatigue for #DevSecOps teams. Learn more here: https://t.co/e2JCYURMiz
How Threat Stack’s new ThreatML with #SupervisedLearning / deep learning for #CloudSecurity gives high-efficacy alerts and intrusion detection for compliance audits while avoiding false negatives/positives, avoiding alert fatigue for #DevSecOps teams. https://t.co/EUPWMZCYRq
Secure your #cloudenvironments using ThreatML, our detection-in-depth approach providing high-efficacy threat detection. Take the right actions, faster, on the biggest threats to your company, now with #supervisedlearning. Learn here: https://t.co/a8x6Hg5TyU #CloudCyberSecurity
Overcome the limitations of anomaly detection with ThreatML—now with supervised learning—for cloud #IDS and high-efficacy alerts on your cloud workloads. Learn more at: https://t.co/HDxKWAjdHt #ML#machinelearning#CloudCyberSecurity@F5
This Wednesday, you’ll hear from Chris Ford, RVP of Product for Threat Stack, discuss how advanced #machinelearning (#supervisedlearning) can help you stay on top of your #security. #ML@F5Security Register for our upcoming webinar here: https://t.co/ZcgnfVyMMh