How Spyderbat's Behavioral Context web fixes the challenges in Cloud Runtime Security

In cloud environments, security challenges are more pronounced due to the inherent complexity and dynamic nature of cloud infrastructure.

Key issues include:

• Detection Trade-offs: The balance between false positives and false negatives is delicate and often dictated by the size and capacity of the Security Operations Center (SOC) team.
• Zero-Day Attacks: These pose significant challenges as they exploit previously unknown vulnerabilities, often before a patch or mitigation is available.
• Custom Applications: Applications with no published Common Vulnerabilities and Exposures (CVEs) make it difficult to detect and respond to threats.
• Ephemeral Containers: Short-lived containers complicate security monitoring and threat detection, as they may not exist long enough for traditional security measures to be effective.
• General Cloud Complexity: The dynamic and scalable nature of cloud environments introduces additional layers of complexity, making it challenging to maintain comprehensive security coverage.

The volume of alerts generated often leads to alert fatigue, increasing the risk of critical threats being overlooked.

Spyderbat's solution to these challenges is the Behavioral Context Web, a revolutionary approach that records and links all contextual data in real-time. This continuous recording ensures that all processes, connections, containers, pods, clusters, users, and APIs are tracked to maintain causal links across the entire environment. This extensive recording capability (3 months or more) enables unparalleled visibility into the cloud infrastructure.