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Its bad response
does

Adapting
crisis communication
to the AI era

Today, your organisation relies on a cybersecurity governance that is mostly technical, supported by a standardised, sequential crisis-communication model designed for classic IT incidents.

AI-driven attacks no longer follow any logical sequence.
They strike continuously, silently, and often before an IT incident even exists.

The consequence is blunt: even with strong cybersecurity, the first rupture point is now human and cognitive.

Systems are technical. Stakeholders are human. This is where everything breaks — or holds.

Crisis communication must become agile

from sequential → to continuous
from rational → to emotional
from factual → to perceptual

aligned with the logic of the attack — not just with IT.

CyberAI Diagnostic

Identify human, narrative and organisational vulnerabilities


Analysis of internal / external communication

Audit of crisis plan & critical roles

Audit of existing channels, mechanisms and messages

Detection of weak signals & decision-making biases

Spokesperson & management preparation

Scenarios & Simulations

Test your reflexes and reactions live against narrative and media chaos


Fast-spreading deepfakes / rumours

AI-driven attack simulations (poisoning, extraction, etc.)

Cross-department coordination

Testing the official messages & channels

Analysis of internal / external reactions

Crisis Team & Plan

Structure an agile, human and synchronised response


Building a crisis cell operating in continuous flow

Redefinition of critical roles

Clarification of ownership and accountability

Pre-validated Cyber+AI messages

Channels & protocols adapted to AI-driven threats

Real-time narrative management

Internal Alert Route & Weak Signals

Circulate the right alerts to the right people, at the right time


Mapping of weak signals & sources

Detection of narrative & behavioural anomalies

Integration of an AI-Vigilance system

Testing the alert circuit with AI scenarios

Dashboard for signals & decision-making

Protection of Official Content

Protect your authentic content
from AI fakes and counterfeits


Identification & classification of critical content

Definition of an “official reference set”

Authentication mechanisms (signature, watermark, etc.)

Securing the publication chain

Monitoring protocol for fake or altered content

Support, Training & Coaching

Strengthen your teams’ reflexes for AI-powered crises


CyberAI workshops (deepfakes, rumours, etc.)

Crisis- & communication-team training

CyberAI media-training

Executive coaching (confusion, pressure, narrative)

Live support during real crises (optional)

Disclaimer : Oz’n’gO’s engagements assume that the essential foundation of technical cybersecurity is already in place. If this is not the case, we bring in our experts, who will work alongside your existing technical partners

Need more information? Urgent Need?

How about going further?

Strengthen your overall resilience with two complementary approaches: truth governance and an internal culture capable of withstanding pressure.

Truth Governance

Define a clear framework to protect your criticial official content. It is essential for countering manipulation, maintaining credibility, and making decisions more quickly.

Resilience Culture Lab

Strengthen your teams’ human, organisational, and narrative reflexes. Practical workshops and programs to transform your weaknesses into levers for lasting resilience.

One step to act.
One strategy to last.

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