Detect and manage harmful coordinated activity online
Understand how harmful activity spreads across networks, identify coordinated actors, and prioritize enforcement with confidence.
Harmful activity is coordinated—and hard to stop
Harmful activity no longer happens in isolation. It spreads across networks, communities, and platforms, making detection and enforcement significantly more complex.
To effectively protect platforms, teams need to understand how actors connect, how activity spreads, and which threats are escalating.
Limited network visibility
No clear view of how actors connect and operate across users and communities
Content-first detection gaps
Tools flag individual posts but miss coordinated behavior across accounts and networks
Hidden spread dynamics
Limited clarity into how harmful activity evolves and amplifies across connected groups
Overwhelming investigation load
Manual analysis slows response times, delays prioritization, and limits effective enforcement
From content moderation to coordinated activity intelligence
Traditional approaches focus on identifying individual violations. But harmful activity is rarely isolated. It is structured, coordinated, and designed to evade detection.
To effectively protect platforms, teams need to understand how actors connect, how activity spreads, and which threats are escalating.
How Graphika surfaces coordinated threats and guides enforcement decisions
Cyber threats don’t appear fully formed, they emerge through connected activity across actors, platforms, and communities.
Graphika reveals this process step-by-step so you can detect threats earlier and act with confidence.
Harmful activity doesn’t appear in isolation—it spreads across accounts, communities, and platforms.
Graphika applies its intelligence framework to continuously detect, understand, and prioritize coordinated threats—so teams can act earlier and enforce with confidence
Continuously surface harmful activity across platforms, communities, and emerging digital environments.
Map relationships between accounts, communities, and behaviors to reveal coordinated activity patterns.
Detect coordination, inauthentic behavior, and narrative momentum driving harmful activity across networks.
Identify highest-risk threats based on scale, velocity, coordination signals, and potential platform impact.
Deliver clear, decision-ready insight to guide enforcement, investigations, and policy response actions.
Continuously surface harmful activity across platforms, communities, and emerging digital environments.
Map relationships between accounts, communities, and behaviors to reveal coordinated activity patterns.
Detect coordination, inauthentic behavior, and narrative momentum driving harmful activity across networks.
Identify highest-risk threats based on scale, velocity, coordination signals, and potential platform impact.
Deliver clear, decision-ready insight to guide enforcement, investigations, and policy response actions.
Detect earlier. Prioritize smarter. Act with precision.
Act quickly on coordinated threats with clear, validated intelligence supporting every action
Intervene earlier in coordinated campaigns to prevent widespread impact and platform risk
Allocate enforcement efforts to the highest-risk threats instead of low-impact noise
Eliminate manual investigation work and accelerate analysis across large volumes of activity
Maintain safer environments by consistently identifying and disrupting coordinated harmful behavior
How do platforms detect and manage coordinated harmful activity?
Graphika connects fragmented signals into structured intelligence, enabling earlier detection and smarter enforcement decisions.
Unify cross-platform activity
See harmful behavior across platforms in one continuous, unified view of evolving activity
Connect fragmented signals into patterns
Link accounts, content, and behaviors into coherent patterns that reveal coordinated activity across networks
Identify coordinated actor networks
Map clusters of connected actors working together to drive coordinated harmful or manipulative activity
Understand communities and relationships
Analyze how groups form, interact, and reinforce harmful behavior across interconnected communities and platforms
Detect coordinated manipulation early
Surface inauthentic behavior, manipulation campaigns, and coordinated abuse patterns before they escalate
Track how activity spreads
Follow how harmful behavior moves across networks, communities, and platforms as coordinated campaigns evolve
Identify threats gaining momentum
Detect acceleration patterns and surface coordinated threats rapidly growing in scale and potential impact
Prioritize high-risk enforcement actions
Focus resources on the actors, networks, and behaviors most likely to drive real-world harm
FAQ
Coordinated inauthentic behavior is when multiple accounts work together to manipulate content, users, or platform systems in a deceptive way.
Platforms detect harmful activity by analyzing patterns across users, networks, and behaviors—not just individual pieces of content.
Signals include repeated behavior across accounts, shared tactics, synchronized activity, and patterns of coordinated engagement.
Content moderation focuses on individual violations, but harmful activity is often coordinated across networks and requires pattern-level detection.
By connecting cross-platform signals, mapping networks, and identifying coordinated patterns before they escalate.
See Threats Earlier
Book a demo to see how Graphika helps you identify trust and safety risks before they escalate.