{
  "id": 14531147,
  "title": "Trying to understand deception tech beyond honeypots",
  "url": "https://urgent.news/2026/10/14/trying-to-understand-deception-tech-beyond-honeypots",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-14T20:39:26.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/okey_broh_8d47f2abaf12413/trying-to-understand-deception-tech-beyond-honeypots-1gp8"
  },
  "original_language": "en",
  "account": "Rebecca recently delved into the realm of deception technology, intrigued by its ability to employ fake assets to uncover suspicious activity. She envisions a scenario where fictitious credentials are placed on an internal system that no genuine user ought to require. Should an unauthorized individual attempt to utilize these credentials, it would present the security team with a reason to investigate further.\n\nRebecca wonders how this concept translates into a practical security environment. While a honeypot can detect such interactions, she questions the utility of that signal when already operating EDR, SIEM, and other security tools. In addition, she is curious about the disparities between employing a handful of honeypots versus utilizing a specialized deception platform.\n\nTo those with experience in cybersecurity, Rebecca asks: Have you implemented any deception technology platforms in a real-world setting? What aspects did you find beneficial, and what limitations did you encounter? She expresses her desire to glean insights from individuals who have firsthand experience working with these systems.",
  "summary": "I've been researching deception technology recently, and one thing I find interesting is how defenders can use fake assets to detect suspicious activity. For example, imagine placing fake credentials on an internal system that no legitimate user should ever need.If someone tries to use them, that interaction gives the security team a reason to investigate. What interests me is how this fits into…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}