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Early Attack Warning Signals for AI and Agentic Security

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Early Attack Warning Signals for AI and Agentic Security

Silent Push released version 6.0 of its Context Graph platform with a Model Context Protocol (MCP) server that integrates early attack warning intelligence directly into AI-assisted security workflows and existing tools like Claude, Splunk, and Palo Alto XSOAR. The platform maps adversary infrastructure across DNS, WHOIS, certificate, and hosting data to surface Indicators of Future Attack (IOFA) weeks before campaigns launch, addressing the gap where traditional detection relies on stale Indicators of Compromise (IOCs) that appear only after attacks are underway. The integration eliminates context switching by allowing threat analysts to query infrastructure intelligence in plain language within tools they already use.

Why it matters: SOC and threat intelligence teams can now feed higher-quality, earlier-stage attack signals into their AI-assisted investigation tools and SIEMs, reducing false confidence in AI-generated analysis and improving detection timing by weeks before adversary infrastructure becomes active.

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Early Attack Warning Signals for AI and Agentic Security

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Early Attack Warning Signals for AI and Agentic Security

Silent Push released a Model Context Protocol (MCP) Server that feeds Context Graph intelligence directly into Artificial Intelligence (AI)-assisted investigation tools. The tool lets practitioners query adversary infrastructure data in plain language inside compatible platforms such as Claude and Cursor. By surfacing Indicators of Future Attack (IOFA) weeks before weaponization, it helps security teams act on early warnings.

Why it matters: Security operations and threat intelligence teams gain early visibility into adversary infrastructure, allowing them to block attacks before they launch.

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threat intel

Early Attack Warning Signals for AI and Agentic Security

Silent Push released a Model Context Protocol (MCP) Server that feeds Context Graph intelligence directly into Artificial Intelligence (AI)-assisted investigation tools. The tool lets practitioners query adversary infrastructure data in plain language inside compatible platforms such as Claude and Cursor. By surfacing Indicators of Future Attack (IOFA) weeks before weaponization, it helps security teams act on early warnings.

Why it matters: Security operations and threat intelligence teams gain early visibility into adversary infrastructure, allowing them to block attacks before they launch.

VendorsSplunk
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