Investigation
SAGA turns fragmented digital information into an investigation trail — connecting people, accounts, content, locations, activity and evidence across sources.
How SAGA investigates
Blura SAGA connects related digital signals, entities and activity to give investigators the context behind what they find. Instead of reviewing isolated results, investigators can follow the relationships between them.
01Find the signal
Start with a digital clue such as an account, keyword, image, location or piece of content. Blura SAGA identifies relevant signals and brings the surrounding context into view.
02Connect the context
Link related accounts, content, entities and activity to reveal relationships, coordinated behaviour and emerging patterns that may not be visible from a single signal.
03Build the intelligence
Combine the relevant findings into a structured investigative picture, with source context and evidence that can support further investigation and reporting.
Investigation tools
Blura SAGA brings identity intelligence, media analysis and contextual search together to help investigators move from digital signals to actionable intelligence.
OSINT tools
Investigate digital identities, connections and visual information across available sources.
Identify digital identities.
Investigate usernames across available sources to discover related profiles, activity and contextual signals.
CapabilityIdentity & profile intelligence
Investigate an email address.
Analyse an email identifier to uncover available digital signals, associated information and relevant investigative context.
CapabilityEmail-based intelligence
Follow a signal across platforms.
Search for related usernames, identifiers and content across multiple platforms to uncover connections that may be missed in a single source.
CapabilityCross-platform intelligence
Investigate what an image reveals.
Analyse images to identify available visual and contextual signals that can support identification and investigation.
CapabilityVisual intelligence
Deepfake tools
Analyse suspicious media and identify signals associated with manipulated or synthetic content.
Analyse video beyond what you see.
Examine video content for manipulation and authenticity signals to help investigators assess suspicious or potentially synthetic media.
CapabilityVideo & deepfake intelligence
Global Search tools
Combine keywords, identities, sentiment and context to uncover the information behind a signal.
Search by digital identity.
Find relevant usernames and associated signals across available intelligence sources to build a broader investigative picture.
CapabilityIdentity search
Search for meaning, not just keywords.
Use contextual and keyword-based searches to discover relevant conversations, narratives, entities and associated intelligence.
CapabilityContextual intelligence
Ask SAGA to make sense of the signal.
Use AI-assisted analysis to explore information, identify relevant context and accelerate investigative understanding.
CapabilityAI-assisted investigation
Understand how people are responding.
Analyse positive, neutral and negative sentiment to identify shifts in public opinion around people, topics, events and narratives across the sources a deployment monitors.
CapabilitySentiment & narrative intelligence
Filter out what does not matter.
Apply exclusion rules to refine results, reduce irrelevant signals and keep investigations focused on meaningful information.
CapabilityPrecision filtering
Connect digital signals to legal context.
Map relevant content to defined legal categories and indicators, helping investigators assess signals such as hate speech and other applicable sections. SAGA maps and classifies; the determination remains the department’s.
CapabilityLegal intelligence mapping
Turn grievances into actionable intelligence.
Capture and analyse public complaints to identify recurring issues, emerging concerns and signals requiring attention, with escalation to the team that owns them.
CapabilityGrievance intelligence
Investigation context
Blura SAGA keeps the signals, relationships and evidence behind an investigation together, so investigators can understand where a finding came from and how it connects to the wider case.
01One investigative record
Signals from different investigation tools can be connected to the relevant person, account, content, location or event, giving investigators one contextual view instead of disconnected results.
02Trace every finding
Blura SAGA preserves the source and context behind investigative findings, making it easier to review how a result was identified and follow it back to the underlying information.
03Ready for investigation
Relevant findings can be organised into structured intelligence for investigation, review and reporting, while preserving the context needed to understand the finding.
Questions
Anything not answered here, a product specialist can take in the demonstration.
Ask a questionNo. It queries the records the deployment has already collected, within the retention window and within the asking user’s scope. That boundary is the reason its answers can be traced back to specific records.
That the evidence does not support Real, Fake or Suspicious. It is returned deliberately, with the confidence figure and frame-level breakdown, and routed to a person. It is not a failure to process the file.
Most platforms strip EXIF when an image is uploaded, so an image saved from social media usually carries no metadata. A file received directly often retains it. The tool reports the metadata as absent rather than estimating a location.
No. It is a match on a string across sources, and it is returned as a set of candidates with the profile details and the time of the check. The judgement remains the investigator’s.
Returns are uneven by identifier type and by region. An empty result is a statement about what is visible to the deployment, not about whether something exists [pending sign-off: sources and coverage by tool].
No. They cover what the deployment has already collected and retained, within the retention window and within the asking user’s scope, and the sources collected are [pending]. That boundary is why a result can be traced back to specific records.
With its original metadata and its capture time. Timestamped capture with metadata alongside an immutable audit trail is what supports evidence-grade workflows: the platform records what was collected and when, and the department’s own process determines what is done with it.
Yes — the identifier submitted, the tool, the user and the time are recorded regardless of the result [pending sign-off: read-logging]. A recorded negative is often the point: it establishes that the question was asked and when.
Request a demonstration
A product specialist can run the tools against the kind of material your team actually works with.