Narrative intelligence helps security teams understand the stories, claims and patterns spreading online around a person, organization, product or place. It connects individual posts and other signals so teams can assess what is happening, why it matters and whether a response is needed.
The starting point is simple. A mention tells you that someone is talking about you. Narrative intelligence asks what they are saying, how that activity is connected and what risk it may create.
What is a narrative?
A narrative is the account people give of an event, person or organization. Online, it can appear across posts, videos, images, comments and discussion threads.
A single claim may be repeated, altered or attached to a different event. Several accounts may share it for unrelated reasons, or there may be evidence of coordination. Those possibilities should not be treated as equivalent.
For security teams, the important questions concern context. Who or what is being discussed? Is the activity changing? Does it contain impersonation, exposure of personal information or a credible threat? What evidence supports the assessment?
How is this different from tracking mentions?
Mention tracking helps you find content. A keyword search might return every post containing an executive's name or an event title.
Narrative intelligence adds analysis of meaning and relationships. It looks at the relevant discussion, the associated accounts and the connections between signals. That can help separate an ordinary conversation from activity requiring investigation.
Text alone may not explain the risk. A video can contain an impersonating voice, an image can expose a location and a post can direct people toward a deceptive website. Reviewing the wider context matters even when the exact keyword is absent.
This is a security-focused use of narrative intelligence. It does not mean that every negative comment is malicious or that criticism should be removed.
What does it look like in practice?
Imagine an executive is due to speak at a public event. This is an illustrative scenario, not a reported Outtake case.
A discussion about the appearance begins online. Most posts are ordinary reactions. A smaller set shares the venue, repeats threatening language or links to an account claiming to represent the executive.
An analyst needs to establish whether those signals are related, whether the identity claim is false and whether the activity warrants escalation. The answer may be continued monitoring, an event-security briefing or investigation of an impersonation asset.
A count of mentions alone cannot answer those questions. A useful assessment includes the underlying evidence, its timing and the uncertainty that remains.
How does Outtake use narrative intelligence?
Outtake's Narrative Intelligence page describes AI agents that collect and analyze text, images, video and audio across online sources. They cluster related signals and deliver contextualized intelligence.
The published use cases include emerging-narrative monitoring, open-source threat discovery, location-based risk intelligence and third-party risk. Teams can focus the collection on the people, facilities, events or organizations relevant to their work.
Outtake also describes prioritized summaries and digests delivered through email or collaboration tools. The objective is to give teams an assessment they can use, rather than leaving them to piece together a queue of unrelated hits.
What should a useful assessment tell you?
It should identify the affected entity, summarize the relevant activity and show the evidence behind that summary. It should distinguish what was observed from what was inferred.
It should also make the next decision clearer. What changed? What needs investigation? Who should review it? What would justify escalation?
Narrative intelligence is not proof of intent, a guarantee that a threat will occur or permission to treat lawful discussion as abuse. Its value is better context for a security decision.
For a broader introduction to the platform, read What does Outtake do?.
Sources
Reviewed October 1, 2026.