As technology continues to advance, cybersecurity has become increasingly important for businesses of all sizes. This is where Spyderbat comes in, offering cloud-native runtime security to detect and stop attacks throughout the software development lifecycle (SDLC). Based in Austin, Texas, Spyderbat’s Automatic Continuous Causal Context (A3C) Engine offers a highly scalable, cloud-native SaaS architecture to monitor and surface threats for real-time and historic views.
Intriguing Title: Startup Showcase: Spyderbat – Securing the Cloud Native SDLC
Enticing Subtitle: Spyderbat offers a cloud-native runtime security solution that detects and stops attacks throughout the SDLC, ensuring businesses can confidently iterate their workloads with complete security.
Cloud Native Runtime Security: The Need of the Hour
As businesses migrate to cloud-based infrastructure, the need for cloud-native runtime security has become increasingly important. With Spyderbat, businesses can secure their Linux VMs and Kubernetes clusters at runtime. The platform offers an automated understanding of runtime behavior differences between builds and environments, blocking attacks against cloud-native workloads. Spyderbat’s SaaS architecture offers live and historic contextual views across Kubernetes, containers, and VM environments to immediately understand the root cause of security and operational issues.
Automatic Continuous Causal Context (A3C) Engine: The Powerhouse of Spyderbat
Spyderbat’s Automatic Continuous Causal Context (A3C) Engine is the powerhouse of the platform, assembling runtime activities into a visual map based on causal relationships for real-time and historic views. The platform monitors every causal sequence of activities within and across workloads, automatically surfacing threats using actionable intelligence from Spyderbat Labs. The map is fully searchable to crush your investigation time and root cause analysis with a contextual understanding of what is happening. Block attacks against known and unknown vulnerabilities and track attacker’s moves across different user sessions, workloads, and long periods of time.
Integrations and Automated Actions: Weave Spyderbat into Your Existing Build Practices
Through Spyderbat’s supported integrations, automated actions, and documented APIs, businesses can weave Spyderbat’s workload behavior monitoring and blocking into their existing build practices and notification channels. This ensures businesses can continue to work efficiently and effectively without compromising on security.
Conclusion:
In conclusion, Spyderbat is a cloud-native runtime security solution that offers businesses a high level of protection against cyber threats. With its Automatic Continuous Causal Context (A3C) Engine and highly scalable, cloud-native SaaS architecture, Spyderbat is able to monitor every causal sequence of activities within and across workloads, automatically surfacing threats using actionable intelligence from Spyderbat Labs. Businesses can integrate Spyderbat into their existing build practices and notification channels, ensuring they can confidently iterate their workloads with complete security.
Website: https://www.spyderbat.com/
Twitter: https://twitter.com/SpyderbatInc
Facebook: https://facebook.com/spyderbatinc
LinkedIn: https://www.linkedin.com/company/spyderba
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