The Awareness Agent that runs the program
The Awareness Agent continuously analyzes and adjusts simulations, training, and analytics, with no manual intervention from the security team.
What the Awareness Agent does
Analyzes real-time behavior: simulations, courses, recurrence patterns, and risk profile evolution.
Determines the most relevant intervention: when to simulate, what content to activate, which vulnerability to prioritize.
Adjusts simulations, activates content, or generates alerts automatically.
Reinforce the habit at the right moment
The agent accompanies each employee: it answers questions, flags risk signals and celebrates progress. No lectures, no spam.
What no campaign does without the Agent
Builds and updates each user's risk profile from real behavior.
adjustment
Increases or reduces simulation complexity based on individual evolution.
intervention
Activates content, alerts or campaign changes without waiting for the next planning cycle.
Identifies recurrence patterns and high-risk profiles before they become incidents.
Generates clear signals so the security team knows where to intervene and who to prioritize.
Builds and updates each user's risk profile from real behavior.
adjustment
Increases or reduces simulation complexity based on individual evolution.
intervention
Activates content, alerts or campaign changes without waiting for the next planning cycle.
Identifies recurrence patterns and high-risk profiles before they become incidents.
Generates clear signals so the security team knows where to intervene and who to prioritize.
Builds and updates each user's risk profile from real behavior.
adjustment
Increases or reduces simulation complexity based on individual evolution.
intervention
Activates content, alerts or campaign changes without waiting for the next planning cycle.
Identifies recurrence patterns and high-risk profiles before they become incidents.
Generates clear signals so the security team knows where to intervene and who to prioritize.
No friction. No new tools.
Connects with Slack, Teams, and the tools your team already uses. Intervenes at the moment of risk, available in multiple languages for organizations with distributed teams across LATAM.
The intelligence layer that connects simulations, training, and analytics
It is not a news chatbot. It is not automation for automation’s sake. It is the layer that makes the three modules work as an adaptive system on each person.
Three tools, one system
Without the agent, the program is three tools: a campaign, a course, a dashboard. The security team connects them by hand. With the Agent, each user’s behavior feeds the next decision: which simulation, which reinforcement, which priority in the index. It reads history, adjusts channel, difficulty, and frequency, and anticipates where risk is concentrating. The team sets rules. It stops building every send. That is what makes scale possible without an awareness factory.
It orchestrates — it does not chat
The layer cuts across the three modules. On simulations, it picks scenario and timing for that profile. On training, it fires the content that matches the error — not the month’s pack. On analytics, it turns the signal into a recommendation security can accept or not. Chat in Spanish and English and presence in Slack or Teams are surfaces. The engine is not the conversation: it is the orchestration. Anyone looking for an FAQ widget has the wrong product.
What the Agent does not do
What the Agent does not do also has to be said. It does not punish. It does not write to the directory. It does not install software on the endpoint. It does not replace the CISO or the analyst. It replaces the mechanical work of “this list, this email, this course.” If the program has no rules, the Agent does not invent a strategy. If the roster is not synced, it does not guess headcount. Intelligence on a living system — not magic on a spreadsheet.
Three modules, one decision layer
The value is not “having an agent.” It is stopping the program from being operated as three separate contracts.
Simulations that are not blasting
The Agent reads history and sends the campaign that matches that profile: channel, scenario, difficulty. Treasury and the store do not get the same lure on the same day just because. If the person…
Training at the moment of the error
Reinforcement fires on the signal, not on L&D’s calendar. Content follows the type of error. High risk does not wait for the quarterly course. Low risk does not get noise. L&D still sees coverage…
Analytics that recommends, not only paints
The index is not a traffic light for the QBR photo. The Agent uses that signal to propose what to simulate and what to reinforce. The analyst prioritizes. Leadership sees evolution. Nobody gets a…
Questions about the awareness agent
A program that adjusts itself.
Book a demo and see how Whalemate's Agent turns behavioral data into automatic interventions and actionable decisions.