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From Reactive Security to Intelligence-Led Prevention: Protecting Crowded Places and Disrupting Emerging Terrorist Threats
This presentation examines how security organisations can move beyond responding to attacks toward an intelligence-led prevention model focused on identifying emerging threats before violence occurs. Particular attention is given to the vulnerabilities of crowded places and public events, where open access, large gatherings and complex environments can create significant protective-security challenges.
The session explores the journey from fragmented information and weak signals to actionable intelligence and proportionate preventive action, considering lone-actor and decentralised threats, behavioural warning indicators, intelligence sharing, OSINT, emerging AI capabilities, protective security and community resilience.
At its heart is a critical question: How can security professionals recognise and connect meaningful warning indicators early enough to protect crowded places while maintaining proportionality, civil liberties and public trust?
Key Discussion Points
• Reactive Security vs Intelligence-Led Prevention — shifting the emphasis from responding after an incident to identifying emerging risks earlier.
• Protecting Crowded Places — understanding vulnerabilities associated with public events, transport hubs, entertainment venues, places of worship and other publicly accessible locations.
• Recognising Weak Signals — distinguishing potentially meaningful behavioural and threat indicators from ordinary activity without relying on profiling.
• The Lone-Actor Challenge — examining how apparently isolated individuals may exist within wider online, ideological or social ecosystems.
• From Information to Intelligence — improving the process of Detect → Assess → Connect → Escalate → Decide → Act → Learn.
• Breaking Down Information Silos — strengthening appropriate information sharing between security professionals, law enforcement, venue operators and relevant partners.
• AI and OSINT — exploring how technology can support threat identification and situational awareness while preserving accountable human judgement.
• Human Intelligence and Community Resilience — recognising the value of responsible public awareness and trusted reporting mechanisms.
• Proportionality and Civil Liberties — ensuring preventive security remains lawful, evidence-led and respectful of privacy and democratic freedoms.
• Learning Before the Next Attack — translating lessons from previous incidents into stronger preparedness, institutional learning and protective-security decision-making.
Core message: The objective of modern security should not simply be to respond effectively when an attack occurs, but to develop the intelligence, partnerships and professional judgement necessary to recognise emerging threats early enough to help prevent the attack from occurring.
The session explores the journey from fragmented information and weak signals to actionable intelligence and proportionate preventive action, considering lone-actor and decentralised threats, behavioural warning indicators, intelligence sharing, OSINT, emerging AI capabilities, protective security and community resilience.
At its heart is a critical question: How can security professionals recognise and connect meaningful warning indicators early enough to protect crowded places while maintaining proportionality, civil liberties and public trust?
Key Discussion Points
• Reactive Security vs Intelligence-Led Prevention — shifting the emphasis from responding after an incident to identifying emerging risks earlier.
• Protecting Crowded Places — understanding vulnerabilities associated with public events, transport hubs, entertainment venues, places of worship and other publicly accessible locations.
• Recognising Weak Signals — distinguishing potentially meaningful behavioural and threat indicators from ordinary activity without relying on profiling.
• The Lone-Actor Challenge — examining how apparently isolated individuals may exist within wider online, ideological or social ecosystems.
• From Information to Intelligence — improving the process of Detect → Assess → Connect → Escalate → Decide → Act → Learn.
• Breaking Down Information Silos — strengthening appropriate information sharing between security professionals, law enforcement, venue operators and relevant partners.
• AI and OSINT — exploring how technology can support threat identification and situational awareness while preserving accountable human judgement.
• Human Intelligence and Community Resilience — recognising the value of responsible public awareness and trusted reporting mechanisms.
• Proportionality and Civil Liberties — ensuring preventive security remains lawful, evidence-led and respectful of privacy and democratic freedoms.
• Learning Before the Next Attack — translating lessons from previous incidents into stronger preparedness, institutional learning and protective-security decision-making.
Core message: The objective of modern security should not simply be to respond effectively when an attack occurs, but to develop the intelligence, partnerships and professional judgement necessary to recognise emerging threats early enough to help prevent the attack from occurring.
