A Command-Grade Narrative Intelligence Platform
STALKRE integrates detection, attribution, and response into a single operational system.
A Command-Grade Narrative Intelligence Platform
STALKRE integrates detection, attribution, and response into a single operational system.
A Command-Grade Narrative Intelligence Platform
STALKRE integrates detection, attribution, and response into a single operational system.
How Stalkre Works
Automated intelligence where speed matters. Human judgment where impact matters.
01
Narrative Intelligence
We will see the Narrative coming before it hits your reputation
Our Narrative Intelligence Engine identifies early warning signals that indicate when content is likely to escalate into a high-impact threat — before it trends, spreads, or causes damage.
Instead of reacting to viral content, we focus on how narratives form, accelerate, and get amplified in their earliest stages.
Velocity
We track the speed at which content is spreading and identify abnormal acceleration patterns.
Bias & Framing
We detect manipulative or one-sided framing designed to influence perception.
Bot & Coordination Signals
We identify artificial amplification through bot networks, and sockpuppet accounts
Sentiment Triggers
We analyze emotional intensity such as fear, anger, outrage, or panic.
Virality Risk
By combining these signals, we predict which narratives are likely to trend.
Actors & Influence Sources
We identify who is driving the narrative, track repeat offenders and linked identities.
AI-Generated Content
Detect AI-generated or manipulated text, images, audio, and video at scale.
Policy-Bypass Language
Flag language designed to bypass platform rules, company policies, or regulatory controls.
02
Attribution Layer
We will Identify Who Is Behind that Narrative
Threat actor profiles (individuals, groups, or networks)
Influence maps showing how narratives propagate
Evidence bundles suitable for legal, compliance, or enforcement action
Attribution is presented with probability and transparency, not false certainty
Confidence-based attribution scores
Cross-campaign linkage to past incidents
How the Attribution Layer works across threats
OSINT
Open-Source Intelligence
The platform analyzes publicly available digital footprints to map narrative origin and spread, including:
Account creation history and reuse patterns
Cross-platform identity correlations
Posting behavior, timing, and language fingerprints
Infrastructure signals (domains, links, hosting patterns)
This enables linkage between content, accounts, and coordinated networks, even when identities are masked.
HUMINT
Human Intelligence
AI-driven attribution is augmented with human-in-the-loop intelligence, including:
Analyst validation of high-risk narratives
Pattern recognition across prior cases
Contextual understanding of local, political, or financial motives
Identification of repeat actors and influence groups
HUMINT adds intent, motive, and credibility assessment, which automation alone cannot reliably infer.
03
Takedown Layer
We will stop the Narrative at the source
Detecting a harmful narrative is only valuable if it can be stopped quickly.
The Takedown Layer helps you act on threats the moment they are identified, reducing spread, limiting damage, and restoring control before a narrative escalates.
Removes Harmful Content Faster
Initiate takedown actions for impersonation, deepfakes, misinformation, scams, and policy-violating content across platforms.
Prioritizes What Matters Most
Focus effort on content with the highest risk, reach, or potential impact — not low-value noise.
Supports Multiple Response Paths
Enable the right action for each situation, including platform reporting, legal escalation, or coordinated response.
Tracks Status & Outcomes
Monitor what has been removed, what is under review, and what may require further escalation.
How Stalkre Works
Automated intelligence where speed matters. Human judgment where impact matters.
01
Narrative Intelligence
We will see the Narrative coming before it hits your reputation
Our Narrative Intelligence Engine identifies early warning signals that indicate when content is likely to escalate into a high-impact threat — before it trends, spreads, or causes damage.
Instead of reacting to viral content, we focus on how narratives form, accelerate, and get amplified in their earliest stages.
Velocity
We track the speed at which content is spreading and identify abnormal acceleration patterns.
Bias & Framing
We detect manipulative or one-sided framing designed to influence perception.
Bot & Coordination Signals
We identify artificial amplification through bot networks, and sockpuppet accounts
Sentiment Triggers
We analyze emotional intensity such as fear, anger, outrage, or panic.
Virality Risk
By combining these signals, we predict which narratives are likely to trend.
Actors & Influence Sources
We identify who is driving the narrative, track repeat offenders and linked identities.
AI-Generated Content
Detect AI-generated or manipulated text, images, audio, and video at scale.
Policy-Bypass Language
Flag language designed to bypass platform rules, company policies, or regulatory controls.
02
Attribution Layer
We will Identify Who Is Behind that Narrative
Threat actor profiles (individuals, groups, or networks)
Influence maps showing how narratives propagate
Evidence bundles suitable for legal, compliance, or enforcement action
Attribution is presented with probability and transparency, not false certainty
Confidence-based attribution scores
Cross-campaign linkage to past incidents
How the Attribution Layer works across threats
OSINT
Open-Source Intelligence
The platform analyzes publicly available digital footprints to map narrative origin and spread, including:
Account creation history and reuse patterns
Cross-platform identity correlations
Posting behavior, timing, and language fingerprints
Infrastructure signals (domains, links, hosting patterns)
This enables linkage between content, accounts, and coordinated networks, even when identities are masked.
HUMINT
Human Intelligence
AI-driven attribution is augmented with human-in-the-loop intelligence, including:
Analyst validation of high-risk narratives
Pattern recognition across prior cases
Contextual understanding of local, political, or financial motives
Identification of repeat actors and influence groups
HUMINT adds intent, motive, and credibility assessment, which automation alone cannot reliably infer.
03
Takedown Layer
We will stop the Narrative at the source
Detecting a harmful narrative is only valuable if it can be stopped quickly.
The Takedown Layer helps you act on threats the moment they are identified, reducing spread, limiting damage, and restoring control before a narrative escalates.
Removes Harmful Content Faster
Initiate takedown actions for impersonation, deepfakes, misinformation, scams, and policy-violating content across platforms.
Prioritizes What Matters Most
Focus effort on content with the highest risk, reach, or potential impact — not low-value noise.
Supports Multiple Response Paths
Enable the right action for each situation, including platform reporting, legal escalation, or coordinated response.
Tracks Status & Outcomes
Monitor what has been removed, what is under review, and what may require further escalation.
How Stalkre Works
Automated intelligence where speed matters. Human judgment where impact matters.
01
Narrative Intelligence
We will see the Narrative coming before it hits your reputation
Our Narrative Intelligence Engine identifies early warning signals that indicate when content is likely to escalate into a high-impact threat — before it trends, spreads, or causes damage.
Instead of reacting to viral content, we focus on how narratives form, accelerate, and get amplified in their earliest stages.
Velocity
We track the speed at which content is spreading and identify abnormal acceleration patterns.
Bias & Framing
We detect manipulative or one-sided framing designed to influence perception.
Bot & Coordination Signals
We identify artificial amplification through bot networks, and sockpuppet accounts
Sentiment Triggers
We analyze emotional intensity such as fear, anger, outrage, or panic.
Virality Risk
By combining these signals, we predict which narratives are likely to trend.
Actors & Influence Sources
We identify who is driving the narrative, track repeat offenders and linked identities.
AI-Generated Content
Detect AI-generated or manipulated text, images, audio, and video at scale.
Policy-Bypass Language
Flag language designed to bypass platform rules, company policies, or regulatory controls.
02
Attribution Layer
We will Identify Who Is Behind that Narrative
Threat actor profiles (individuals, groups, or networks)
Influence maps showing how narratives propagate
Evidence bundles suitable for legal, compliance, or enforcement action
Attribution is presented with probability and transparency, not false certainty
Confidence-based attribution scores
Cross-campaign linkage to past incidents
How the Attribution Layer works across threats
OSINT
Open-Source Intelligence
The platform analyzes publicly available digital footprints to map narrative origin and spread, including:
Account creation history and reuse patterns
Cross-platform identity correlations
Posting behavior, timing, and language fingerprints
Infrastructure signals (domains, links, hosting patterns)
This enables linkage between content, accounts, and coordinated networks, even when identities are masked.
HUMINT
Human Intelligence
AI-driven attribution is augmented with human-in-the-loop intelligence, including:
Analyst validation of high-risk narratives
Pattern recognition across prior cases
Contextual understanding of local, political, or financial motives
Identification of repeat actors and influence groups
HUMINT adds intent, motive, and credibility assessment, which automation alone cannot reliably infer.
03
Takedown Layer
We will stop the Narrative at the source
Detecting a harmful narrative is only valuable if it can be stopped quickly.
The Takedown Layer helps you act on threats the moment they are identified, reducing spread, limiting damage, and restoring control before a narrative escalates.
Removes Harmful Content Faster
Initiate takedown actions for impersonation, deepfakes, misinformation, scams, and policy-violating content across platforms.
Prioritizes What Matters Most
Focus effort on content with the highest risk, reach, or potential impact — not low-value noise.
Supports Multiple Response Paths
Enable the right action for each situation, including platform reporting, legal escalation, or coordinated response.
Tracks Status & Outcomes
Monitor what has been removed, what is under review, and what may require further escalation.