Silent Push 6.0 Launches Advanced AI-Powered Cyber Defense Platform


06/24/2026


Silent Push, a company specializing in proactive cyber defense, has unveiled Silent Push 6.0, a significant upgrade to its cyber defense platform. The latest version is designed to help security teams act more quickly and efficiently through improved usability, enhanced visibility into threat infrastructure, and expanded integration capabilities. The release introduces upgrades to Traffic Origin and new workflow features that support a threat-informed security strategy focused on identifying and mitigating risks before attacks occur.

“Silent Push 6.0 is designed to cut through the noise and deliver actionable intelligence on adversary infrastructure before attacks materialize—something unmatched in the industry,” said Ken Bagnall, CEO and Co-Founder of Silent Push. “This release empowers enterprises and government organizations to identify emerging threats sooner, enabling informed decisions that strengthen cybersecurity defenses at the earliest stages of the attack lifecycle.”

The new platform enhancement is built to integrate seamlessly into existing security operations, helping teams focus on high-priority threats without requiring additional tools or major workflow changes.

Key Enhancements in Silent Push 6.0
Traffic Origin
A newly developed capability exclusive to Silent Push, Traffic Origin provides organizations with deeper visibility into malicious activity, infrastructure shifts, and traffic behavior to accurately identify the true geographic source of internet activity. The feature includes a dedicated user interface, access to a full year of historical data, and more granular permission controls. It supports a range of use cases, including fraud detection, Know Your Customer (KYC) verification, recruitment validation, and incident response investigations.

MCP Server Integration
Silent Push has introduced a hosted endpoint that allows its threat intelligence data to connect directly with AI platforms such as Claude, ChatGPT, and other large language models. Security analysts can conduct investigations using natural language queries, enabling tasks such as indicator enrichment, historical DNS analysis, infrastructure mapping, adversary clustering, risk assessment, and creation of investigative reports. By reducing unnecessary context and streamlining data access, the MCP Server helps accelerate investigations while lowering AI token consumption.

Redesigned Navigation and Module Structure
The platform now features three primary modules—Defend, Insight, and Reconnaissance—to simplify navigation and improve operational efficiency. Defend focuses on proactive integrations with SIEM, SOAR, firewall solutions, and Silent Push’s proprietary Indicators of Future Attack® (IOFA). Insight delivers comprehensive artifact context within a unified interface to speed up threat triage. Reconnaissance supports threat hunting and incident response teams by enabling infrastructure tracking and analysis. An additional module, Advanced Attribution, serves as the home for the Traffic Origin capability.

Enhanced TLP Amber Reports
Backend and infrastructure improvements have significantly increased report-loading performance. The updated reporting framework now supports richer content formats, including embedded video tutorials accessible directly within reports. Threat indicators referenced in reports can be explored further through pivoting capabilities, while the newly available TLP Amber Report API provides programmatic access to report metadata and related information.

Bulk Enrichment in Insight
The Bulk Enrichment feature enables analysts to evaluate multiple indicators simultaneously within a centralized dashboard. Designed for the early stages of investigations, it helps security teams quickly prioritize suspicious assets by providing immediate access to Silent Push intelligence. This capability addresses limitations commonly found in single-indicator lookup tools, allowing analysts to identify the most critical threats faster and more effectively.

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