In every crisis, whether a cyberattack, natural disaster, or infrastructure failure, information moves faster than operations. Decisions are made in minutes, public behavior shifts in seconds, and trust becomes the invisible system holding everything together.
But today, truth itself is under pressure.
Misinformation spreads faster than verified facts. AI-generated deepfakes blur the line between real and fabricated events. Social platforms amplify emotional narratives long before official guidance can catch up. In this environment, misinformation has become a direct risk to resilience and crisis response.
For governments, cities, and critical infrastructure operators, this creates a new challenge. Managing physical systems is no longer enough. They must also manage the information environment surrounding those systems.

During emergencies, people search for certainty. They want answers about safety, responsibility, and what actions to take. When accurate information is delayed or unclear, misinformation fills the gap.
False narratives can trigger panic buying and resource shortages, dangerous evacuations or refusal to evacuate, distrust of emergency services, resistance to recovery efforts, and social unrest and polarization.
What makes this especially dangerous is scale. A single misleading post can reach millions within hours. Coordinated disinformation campaigns can shape public perception before official institutions even respond.
In resilience planning, this creates a new type of cascading failure. A technical disruption leads to an information disruption, which then becomes a behavioral disruption. The result is not just operational damage but societal instability.
The events of October 7 in Israel demonstrated how modern crises unfold simultaneously in the physical and digital worlds.
Alongside the violent attacks and national emergency response, an unprecedented wave of misinformation, manipulated footage, and AI-generated deepfakes spread across social media platforms within hours. Fabricated videos, false casualty claims, and misleading narratives circulated globally before official investigations or confirmations could keep pace.
Some content was intentionally altered or taken out of context. Other material was generated entirely using artificial intelligence to resemble real news footage or official announcements. These narratives fueled fear, confusion, and international polarization, complicating both public understanding and diplomatic response.
For emergency authorities and institutions, this created a parallel crisis: responding not only to physical threats but also to an information war that distorted reality in real time.
The impact went beyond public perception. Trust in official sources was challenged, decision-making environments became noisy and unstable, and communities struggled to distinguish verified guidance from fabricated claims.
October 7 illustrated a new dimension of resilience failure. Even when operational systems were mobilized, the collapse of information integrity created additional stress on recovery efforts and public confidence. It showed that without safeguards for truth, resilience planning remains incomplete.
Artificial intelligence has changed the nature of misinformation. Deepfake videos, synthetic voices, and realistic AI-written messages now look credible enough to fool both the public and decision-makers.
Imagine a fabricated video of a city official announcing a false evacuation order. Or a fake message claiming water supplies are contaminated. These scenarios are no longer hypothetical. They are technically easy to create and extremely difficult to debunk quickly.
The problem is not only false content but speed. Verification takes time. Misinformation spreads instantly. This asymmetry gives falsehoods a structural advantage in moments of uncertainty.
For emergency response teams, this means they must operate in two parallel crisis environments. One is the physical event. The other is the digital information battlefield unfolding in real time.
Traditionally, resilience planning focused on assets such as power grids, transportation networks, water systems, and hospitals. But trust now functions as a form of critical infrastructure itself.
When trust erodes, public compliance drops, rumors replace guidance, political divisions intensify, and societal recovery slows.
Trust is what allows people to believe warnings, follow instructions, and cooperate during recovery. Without it, even the most technically sound response can fail.
This is why misinformation is not simply a media or public relations challenge. It is a resilience challenge. A failure of trust can cascade just as dangerously as a failure of electricity or telecommunications.
A new concept is emerging in resilience discussions: TrustTech. This refers to the combination of technology, policy, and communication strategies designed to protect credibility, decision-making, and public confidence during crises.
TrustTech includes:
Monitoring information flows during emergencies
Detecting coordinated disinformation campaigns
Verifying official communications rapidly
Establishing trusted communication channels before crises occur
Training leaders in crisis communication under uncertainty
It also requires designing systems that assume misinformation will happen, rather than treating it as an exception.
Resilience planning must now ask new questions:
How quickly can false narratives be identified?
How can they be corrected without amplifying them?
Which voices does the public trust during emergencies?
How can messaging be coordinated across agencies and sectors?
As TrustTech becomes a critical pillar of resilience, a new class of companies is emerging to address the challenge of misinformation at scale. Platforms such as Cyabra focus on identifying coordinated disinformation campaigns, fake accounts, and synthetic narratives that distort public discourse during crises. These technologies analyze social media behavior patterns, detect inauthentic amplification, and provide authorities and organizations with early warning signals when information manipulation is underway.
Rather than reacting after false narratives take hold, TrustTech companies enable proactive monitoring and response, helping decision-makers preserve credibility, protect public confidence, and reduce the operational impact of misinformation on crisis response and recovery efforts.
Cities and infrastructure systems operate in complex social environments. Transportation, energy, healthcare, and water systems all depend on public cooperation. When misinformation undermines that cooperation, operational risk increases dramatically.
A city may restore power quickly, but if people believe false reports that it is unsafe, businesses remain closed. A hospital may have capacity, but if fake stories circulate about contamination, patients avoid care. A transportation system may function, but rumors can cause panic-driven congestion.
The next generation of resilience strategies must integrate information integrity into planning, training, and simulation. This means:
Treating misinformation as a hazard scenario
Including trust breakdowns in crisis exercises
Strengthening communication protocols
Building coordination between technical and communications teams
Investing in tools that support credibility and verification
These challenges are at the center of an upcoming webinar hosted by EIS Council:
Truth Under Attack: Misinformation, Trust, and Resilience
February 18, 11 am – 12 pm EST, live on Zoom
The session will explore how AI-generated misinformation and coordinated disinformation campaigns are reshaping crisis response and why trust has become a core component of national, city, and infrastructure resilience.
If your work touches crisis management, infrastructure, emergency response, or resilience planning, this conversation matters.
Register now to join the conversation.
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