Spyderbat Cloud Detection and Response

Spyderbat-CDR_infographic_SSSpyderbat-CDR_vs_Posture_info_SS

As more organizations migrate to the cloud, the need for specialized security solutions that address cloud-specific challenges grows. Spyderbat's cloud detection and response (CDR) is an ideal fit for real-time threat protection, investigation and response using hybrid cloud, multi-cloud, Kubernetes, and Linux environments. Here are a couple of reasons why:

  • Detection for Hybrid Cloud and Multi-Cloud, Kubernetes and Linux Get early and accurate protection - Spyderbat reinvented detection with Minimal Resources. Lightweight on Cloud Efficiently, and safely deploy the Spyderbat eBPF nano-ageeBPF agents that reduce daily noise by 2-3 orders of magnitude
  • Identify Root Cause Get instant root cause - Spyderbat records everything to eliminate manual investigation, and prove causation in seconds, not days
  • Stop Threats and Attacks Stop threats in their tracks - Automatically kill malicious processes, pods and connections, to stop what passive scanners can't
  • Quick Setup, No Code Changes Deploy in less than 10 min. No code changes needed to run
  • Multi-Tenant Easily scale to support a multitude of customers. Spyderbat provides cloud security monitoring, threat detection, and response capabilities across multiple clients from a single, shared platform for optimal orchestration across managed services
  • Minimal Resources. Lightweight on Cloud Efficiently deploy using less than 2% of cloud resources, 90% less than industry platforms
  • Customizable Open architecture Customize dashboards, rule sets and policies and use the open APIs for simple extensibility and integration
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     aws partner network 1   21972-312_SOC_NonCPA

 

Learn More and Elevate Your Cloud Detection, Response Now!

Awards and Testimonials
spyderbat cloud runtime security awards and testimonials

Harnesses the power of eBPF to give you complete visibility and control

Spyderbat eBPF Nano Agents collect kernel-level workload data with negligible performance impact and no management overhead (less than 2%).  
Visualize runtime activity, detect attacks, recognize anomalies, and automatically take the right action to protect app behavior and minimize downtime.
 
Spyderbat Runtime Security - eBPF Security Architecture
 

Compare Spyderbat's Critical Capabilities With Other
Cloud Security Solutions to See Where They Fall Short

Feature

Spyderbat

CSPM

XDR

How We're Better

Real Time Attack Prevention (Cloud IPS)

Trace all activity

shift left doesn't see running apps, only config
 

only discrete alerts, cannot take action because of alert flooding

Continuously track code, container, cluster and cloud behavior and kills processes, terminates connections based on threat level

Continuously track anomalies

cannot see runtime

Delays of up to 48 hours

Track and compare deployments, changes and behavior across timelines to immediately identify anomalies

Build alerts based on risk

static scanning for virus

but at human scale

Automatically track and combine events into scored traces of activity like real-time incident response reports for all app activity

Stop Attacks in Real Time

only preventative based on scanning, no real time response ability

only alerts based on loose correlation that require human intervention

Spyderbat terminates processes and connections in real time based on trusted app behavior and threat level

Cloud Security Forensics (Cloud IDS)

Identify Root Cause

Instantly


 

with human effort and weeks of research

Continuous traces of all activity means that incidents have pre-populated, cause-based reports of all the who, what, when and where of how attacks played out before they were stopped

Reduce Alerts

Combining alerts into traces, and then monitoring traces based on typical app behavior means teams only receive an alert when real risk is present

Identity Monitoring

All events are tracked based on the account that executed them, whether that's a user, service account, or privileged account

Track events across ephemeral containers

Continuously build historical context across all events, even if the container or service that spawned the event is no longer running

Stop Drift

Profile running applications

Instantly

Config at build time only

 

Continuously identify patterns of app behavior via eBPF, container runtime, and control plane data

Automatically identify anomalies

Instantly see new process, network, or control plane activity

Prevent drift in real time

Flag suspicious behaviors or actively terminate unknown processes

Feature

Spyderbat

CSPM

XDR

How We're Better

Real Time Attack Prevention (Cloud IPS)

Trace all activity

shift left doesn't see running apps, only config
 

only discrete alerts, cannot take action because of alert flooding

Continuously track code, container, cluster and cloud behavior and kills processes, terminates connections based on threat level

Continuously track anomalies

cannot see runtime

Delays of up to 48 hours

Track and compare deployments, changes and behavior across timelines to immediately identify anomalies

Build alerts based on risk

static scanning for virus

but at human scale

Automatically track and combine events into scored traces of activity like real-time incident response reports for all app activity

Stop Attacks in Real Time

only preventative based on scanning, no real time response ability

only alerts based on loose correlation that require human intervention

Spyderbat terminates processes and connections in real time based on trusted app behavior and threat level

Cloud Security Forensics (Cloud IDS)

Identify Root Cause

Instantly


 

with human effort and weeks of research

Continuous traces of all activity means that incidents have pre-populated, cause-based reports of all the who, what, when and where of how attacks played out before they were stopped

Reduce Alerts

Combining alerts into traces, and then monitoring traces based on typical app behavior means teams only receive an alert when real risk is present

Identity Monitoring

All events are tracked based on the account that executed them, whether that's a user, service account, or privileged account

Track events across ephemeral containers

Continuously build historical context across all events, even if the container or service that spawned the event is no longer running

Stop Drift

Profile running applications

Instantly

Config at build time only

 

Continuously identify patterns of app behavior via eBPF, container runtime, and control plane data

Automatically identify anomalies

Instantly see new process, network, or control plane activity

Prevent drift in real time

Flag suspicious behaviors or actively terminate unknown processes

Feature

Spyderbat

CSPM

XDR

How We're Better

Real Time Attack Prevention (Cloud IPS)

Trace all activity

shift left doesn't see running apps, only config
 

only discrete alerts, cannot take action because of alert flooding

Continuously track code, container, cluster and cloud behavior and kills processes, terminates connections based on threat level

Continuously track anomalies

cannot see runtime

Delays of up to 48 hours

Track and compare deployments, changes and behavior across timelines to immediately identify anomalies

Build alerts based on risk

static scanning for virus

but at human scale

Automatically track and combine events into scored traces of activity like real-time incident response reports for all app activity

Stop Attacks in Real Time

only preventative based on scanning, no real time response ability

only alerts based on loose correlation that require human intervention

Spyderbat terminates processes and connections in real time based on trusted app behavior and threat level

Cloud Security Forensics (Cloud IDS)

Identify Root Cause

Instantly


 

with human effort and weeks of research

Continuous traces of all activity means that incidents have pre-populated, cause-based reports of all the who, what, when and where of how attacks played out before they were stopped

Reduce Alerts

Combining alerts into traces, and then monitoring traces based on typical app behavior means teams only receive an alert when real risk is present

Identity Monitoring

All events are tracked based on the account that executed them, whether that's a user, service account, or privileged account

Track events across ephemeral containers

Continuously build historical context across all events, even if the container or service that spawned the event is no longer running

Stop Drift

Profile running applications

Instantly

Config at build time only

 

Continuously identify patterns of app behavior via eBPF, container runtime, and control plane data

Automatically identify anomalies

Instantly see new process, network, or control plane activity

Prevent drift in real time

Flag suspicious behaviors or actively terminate unknown processes

Feature

Spyderbat

CSPM

XDR

How We're Better

Real Time Attack Prevention (Cloud IPS)

Trace all activity

shift left doesn't see running apps, only config
 

only discrete alerts, cannot take action because of alert flooding

Continuously track code, container, cluster and cloud behavior and kills processes, terminates connections based on threat level

Continuously track anomalies

cannot see runtime

Delays of up to 48 hours

Track and compare deployments, changes and behavior across timelines to immediately identify anomalies

Build alerts based on risk

static scanning for virus

but at human scale

Automatically track and combine events into scored traces of activity like real-time incident response reports for all app activity

Stop Attacks in Real Time

only preventative based on scanning, no real time response ability

only alerts based on loose correlation that require human intervention

Spyderbat terminates processes and connections in real time based on trusted app behavior and threat level

Cloud Security Forensics (Cloud IDS)

Identify Root Cause

Instantly


 

with human effort and weeks of research

Continuous traces of all activity means that incidents have pre-populated, cause-based reports of all the who, what, when and where of how attacks played out before they were stopped

Reduce Alerts

Combining alerts into traces, and then monitoring traces based on typical app behavior means teams only receive an alert when real risk is present

Identity Monitoring

All events are tracked based on the account that executed them, whether that's a user, service account, or privileged account

Track events across ephemeral containers

Continuously build historical context across all events, even if the container or service that spawned the event is no longer running

Stop Drift

Profile running applications

Instantly

Config at build time only

 

Continuously identify patterns of app behavior via eBPF, container runtime, and control plane data

Automatically identify anomalies

Instantly see new process, network, or control plane activity

Prevent drift in real time

Flag suspicious behaviors or actively terminate unknown processes

Feature

Spyderbat

CSPM

XDR

How We're Better

Real Time Attack Prevention (Cloud IPS)

Trace all activity

shift left doesn't see running apps, only config
 

only discrete alerts, cannot take action because of alert flooding

Continuously track code, container, cluster and cloud behavior and kills processes, terminates connections based on threat level

Continuously track anomalies

cannot see runtime

Delays of up to 48 hours

Track and compare deployments, changes and behavior across timelines to immediately identify anomalies

Build alerts based on risk

static scanning for virus

but at human scale

Automatically track and combine events into scored traces of activity like real-time incident response reports for all app activity

Stop Attacks in Real Time

only preventative based on scanning, no real time response ability

only alerts based on loose correlation that require human intervention

Spyderbat terminates processes and connections in real time based on trusted app behavior and threat level

Cloud Security Forensics (Cloud IDS)

Identify Root Cause

Instantly


 

with human effort and weeks of research

Continuous traces of all activity means that incidents have pre-populated, cause-based reports of all the who, what, when and where of how attacks played out before they were stopped

Reduce Alerts

Combining alerts into traces, and then monitoring traces based on typical app behavior means teams only receive an alert when real risk is present

Identity Monitoring

All events are tracked based on the account that executed them, whether that's a user, service account, or privileged account

Track events across ephemeral containers

Continuously build historical context across all events, even if the container or service that spawned the event is no longer running

Stop Drift

Profile running applications

Instantly

Config at build time only

 

Continuously identify patterns of app behavior via eBPF, container runtime, and control plane data

Automatically identify anomalies

Instantly see new process, network, or control plane activity

Prevent drift in real time

Flag suspicious behaviors or actively terminate unknown processes

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