🚨 2025 Phishing Threat Trends Report: AI, Ransomware & Hiring Exploit by Knowbe4

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2025 Phishing Threat Trends Report 🚨 2025 Phishing Threat Trends Report: AI, Ransomware & Hiring Exploits By Admin | Sourced from KnowBe4 Threat Intelligence – March 2025 📈 17.3% rise in phishing emails in just six months 🔐 57.9% of phishing attacks used compromised accounts 🤖 82.6% of phishing emails were powered by AI 1. AI-Powered Polymorphic Phishing Attackers now use AI to create near-unique phishing messages that evade filters. These emails alter sender names, metadata, subjects, and logos to trick both systems and humans. Month (2024) % Emails with Polymorphic Features March 42.2% July 56.8% October 65.5% December 74.3% 2. Ransomware Surge via Obfuscated Payloads Ransomware-as-a-service and HTML smuggling lead to more encrypted payloads slipping past detection. Obfuscation Method Impact ...

Choose the Best of the Best EDR Based on EDR Telemetry Scores

Choose the Best of the Best EDR Based on EDR Telemetry Scores

In the ever-evolving cybersecurity landscape, Endpoint Detection and Response (EDR) solutions are crucial for detecting and responding to threats in real time. However, not all EDRs are created equal. The quality of telemetry—what data they collect, how deep the visibility goes, and how actionable the insights are—can significantly impact your security posture.

To help you make a well-informed decision, we've referred to EDR Telemetry Scores, a third-party scoring system that compares the telemetry capabilities of leading EDR solutions using a consistent methodology.

This independent benchmarking evaluates how different EDRs stack up based on their ability to provide:

  • Deep process visibility
  • File and network activity capture
  • Contextual relationships
  • And much more

Explore the live scores below and compare EDR solutions based on the metrics that matter most to your organization:

Understanding the Scores

Our scoring system evaluates EDR solutions based on telemetry capabilities across various categories. Each telemetry feature is weighted based on its importance in endpoint detection and response.

Status Values

StatusValue
Yes1.0
Via EnablingTelemetry1.0
Partially0.5
Via EventLogs0.5
No0
Pending Response0

Feature Weights

Each telemetry feature category is weighted based on its importance in the overall assessment. Some key examples include:

  • Process Creation – 1.0
  • Process Access – 1.0
  • File Creation – 1.0
  • File Modification – 1.0
  • File Deletion – 1.0
  • DNS Query – 1.0
  • TCP Connection – 1.0
  • Remote Thread – 1.0
  • File Renaming – 0.7
  • Account Login – 0.7
  • Process Termination – 0.5
  • Account Logoff – 0.4

For the full weight distribution, you can view the dataset on GitHub.

Final Score Calculation

Total Score = Σ (Status Value × Feature Weight)

The final score represents the weighted sum of all features, providing a comprehensive evaluation of each EDR solution's telemetry capabilities.

To calculate the score:

  1. For each telemetry feature (sub-category), determine the implementation status (Yes, Partially, Via EventLogs, etc.)
  2. Convert the status to a numerical value using the status table above
  3. Multiply the value by the weight assigned to that feature category
  4. Sum all weighted values to produce the final score

This methodology ensures that more critical telemetry capabilities have a greater impact on the overall score, providing a fair and accurate comparison between different EDR solutions.

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