At 11:42 pm, a victim-survivor receives another message from an account she has already blocked three times. The sender references her location with unsettling accuracy. Her devices show no clear signs of compromise. Her passwords are strong. From a traditional technical perspective, nothing appears wrong.

But the pattern tells a different story.

Technology-facilitated abuse is increasingly embedded within domestic and family violence, enabling perpetrators to monitor, track, impersonate, and psychologically destabilise victim-survivors using everyday technologies. These harms often sit outside traditional investigative thresholds and are difficult to identify using standard risk assessment or cyber security approaches alone.

This session presents a practical, frontline model for identifying and responding to technology-facilitated coercive control.

Drawing on operational experience from the Digital Resilience Project, the presentation demonstrates how structured analysis—combining open-source intelligence (OSINT), behavioural pattern recognition, and risk-based triage—can be used to:

-Identify patterns of digital surveillance and coercive control

-Distinguish between perceived and actual technical compromise

-Reduce escalation risk through safe, proportionate intervention

-Support victim-survivors to regain control of their digital environments

Importantly, this work is not positioned as “technical investigation,” but as safety-oriented analysis under conditions of uncertainty, where decisions must balance risk, autonomy, and potential escalation.

The session also explores how gaps between systems—cybersecurity, DFV response, law enforcement, and social services—can unintentionally contribute to systems abuse and social entrapment, and how integrated approaches can reduce this risk.