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CiscoLaunch

Cisco open sources tool for detecting AI agents on hacking sprees

What happened

Cisco open-sourced Project Quarry, a behavior detection engine designed to monitor AI agents and identify rogue activities.

Source

theregister.comOct 28, 2026By Jessica Lyons

Cisco open sources tool for detecting AI agents on hacking sprees

Article excerpt

Highlighted: the sentence this signal was extracted from

security Project Quarry aims to provide a 'shared language' for evaluating agent behavior Cisco has open sourced a behavior detection engine that watches AI agents, to help security teams prevent rogue agents from going off the rails like they did with the Hugging Face hack – or worse. It's called Project Quarry, and it aims to provide a "shared language" for evaluating agent behavior, along the lines of what Snort, which Cisco also maintains, did for detecting malicious network traffic and what YARA did for rule-based malware identification. Most detection tools rely on specific interactions with an AI model or agent. Did it attempt prompt injection? Or did the agent call an attack tool? "But what is missing is the entire context under which something may occur," Amy Chang, head of AI threat and security research at Cisco, said in an exclusive interview with The Register. She likened this to credit card fraud detection. Without context, individual transactions such as a small test charge or a single purchase in a location far away from a card-holder's usual location may not raise any flags. "And then you try again," making another fraudulent purchase, "and that went through, too. So now I'm gonna buy the PS5," Chang said. "Those are the things that Quarry addresses by taking into consideration the entire agent session," she explained. "One tool call may seem in-scope...

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Extracted by Autobound

From the Signal API record
Event
Launch

What this signalsA launch often needs new go-to-market and support spend.

Product
Project Quarry

More launch signals at other companies

The full record

From the Signal API record

Topics and mentions

Product tags

  • online technology
  • general technology
  • future tech
  • security

Extraction

Confidence
95%
Detected
Oct 28, 2026
signal_type
news
signal_subtype
launches

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The API returns more than this page shows

This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/35559dae-25e2-7ba7-c9bb-5595dc72e461 returns this record as JSON. POST /v1/companies/enrich returns every signal for cisco.com.

{
  "signal_id": "35559dae-25e2-7ba7-c9bb-5595dc72e461",
  "signal_type": "news",
  "signal_subtype": "launches",
  "detected_at": "2026-10-28T12:00:00+00:00",
  "company": {
    "name": "Cisco",
    "domain": "cisco.com"
  },
  "data": {
    "url": "https://www.theregister.com/security/2026/10/28/cisco-open-sources-tool-for-detecting-ai-agents-on-hacking-sprees/5305867",
    "title": "Cisco open sources tool for detecting AI agents on hacking sprees",
    "author": "Jessica Lyons",
    "excerpt": "security Project Quarry aims to provide a 'shared language' for evaluating agent behavior Cisco has open sourced a behavior detection engine that watches AI agents, to help security teams prevent rogue agents from going off the rails like they did with the Hugging Face hack – or worse. It’s called Project Quarry, and it aims to provide a “shared language” for evaluating agent behavior, along the lines of what Snort , which Cisco also maintains, did for detecting malicious network traffic and what YARA did for rule-based malware identification. Most detection tools rely on specific interactions with an AI model or agent. Did it attempt prompt injection? Or did the agent call an attack tool? “But what is missing is the entire context under which something may occur,” Amy Chang, head of AI threat and security research at Cisco, said in an exclusive interview with The Register . She likened this to credit card fraud detection. Without context, individual transactions such as a small test charge or a single purchase in a location far away from a card-holder's usual location may not raise any flags. “And then you try again,” making another fraudulent purchase, “and that went through, too. So now I’m gonna buy the PS5,” Chang said. “Those are the things that Quarry addresses by taking into consideration the entire agent session,” she explained. “One tool call may seem in-scope until...",
    "product": "Project Quarry",
    "summary": "Cisco open-sourced Project Quarry, a behavior detection engine designed to monitor AI agents and identify rogue activities.",
    "planning": false,
    "image_url": "https://image.theregister.com/5259466.jpg?imageId=5259466&x=0&y=0&cropw=100&croph=100&panox=0&panoy=0&panow=100&panoh=100&width=1200&height=683",
    "confidence": 0.95,
    "product_data": {
      "name": "Project Quarry",
      "full_text": "behavior detection engine called Project Quarry",
      "fuzzy_match": false
    },
    "product_tags": [
      "online_technology",
      "general_technology",
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    ],
    "published_at": "2026-10-28T12:00:00Z",
    "article_sentence": "Cisco has open sourced a behavior detection engine that watches AI agents, to help security teams prevent rogue agents from going off the rails like they did with the Hugging Face hack – or worse."
  }
}

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