Artificial intelligence is already part of daily activities within organizations: drafting documents, analyzing information, summarizing meetings, reviewing code, processing data, or preparing proposals.
Its adoption opens up new opportunities for productivity, but it also introduces an important question for cybersecurity: What information are we sharing with AI tools, and what do we do with the answers they generate?
Today, a security risk does not necessarily begin with an attacker attempting to breach a system. It can also appear when a person shares sensitive information with an unauthorized tool, uses AI-generated content without verifying it, or incorporates these platforms into corporate processes without understanding their implications. That is why Cybersecurity Awareness must also evolve alongside technology.
What is Cybersecurity Awareness?
Cybersecurity Awareness means that individuals understand the risks related to the tools they use and can adopt safer behaviors within their professional activity. In the AI era, it implies not only identifying threats like suspicious emails, but also using AI tools consciously and securely.
For years, cybersecurity awareness has focused on known behaviors: identifying suspicious emails, protecting passwords, verifying links, avoiding unknown files, and reporting unusual activities. All these practices remain fundamental, but artificial intelligence introduces new scenarios.
Key points
- Risk can appear in daily use: it is not necessary to breach a password to expose sensitive data.
- Every prompt is a potential point of exposure: share only what is necessary.
- Verify before using: speed is not accuracy.
- Know your organization's AI policy: authorized tools, shareable data, and human review.
- Validate unusual requests: a well-written message or a familiar voice does not guarantee legitimacy.
- Ask five questions before acting when using AI.
AI is changing how we understand risk
Risk can appear during the daily use of technology, without any technical flaw being exploited. Consider three situations:
- A person needs to quickly summarize a corporate document and decides to copy it into a public AI tool. The file contains information about clients.
- Another professional uses a generative tool to review code and accidentally shares credentials or information related to the organization's infrastructure.
- A team incorporates an AI-generated response into a decision without first validating if the information is correct.
In these cases, there was no need to breach a password or exploit a technical flaw.
1. Sharing sensitive information with AI tools
Every prompt can also become a point of exposure. Generative tools work based on instructions, questions, and data that people input into them, which changes the way we interact with information. Among the information that should be managed with special care is:
- Client information.
- Personal data.
- Internal documentation.
- Credentials or passwords.
- Financial information.
- Proprietary code.
- Data related to processes, products, or strategies.
- Legal or confidential documentation.
The question before using an AI tool should be simple: Do I really need to share this information to get the result I am looking for? Developing this judgment is part of a more conscious cybersecurity culture.
2. Relying on an answer without verifying it
Speed becomes a risk when it is interpreted as a synonym for accuracy. An answer may be well-structured, seem convincing, and still contain information that is incomplete, incorrect, or unsuitable for the context in which it will be used. For this reason, using AI responsibly also implies verifying its results, especially when the generated content may become:
- Code.
- Corporate documentation.
- Internal procedures.
- Risk analysis.
- Client communications.
- Information used to make decisions.
Artificial intelligence can accelerate access to information. Professional judgment is still necessary to decide what to do with it.
3. Using AI tools without knowing the organization's policies
AI adoption often happens faster than the creation of internal policies. People discover new platforms, start using them in their daily work, and find ways to automate tasks. The challenge appears when those tools are incorporated without clear criteria. Organizations need to define:
- Which tools are authorized?
- What information can be shared?
- What tasks can be supported by AI?
- What results must be reviewed by a person?
- What should be done if sensitive information is shared accidentally?
An effective policy needs to be understandable to those who use the technology. People need to know the rules, but also understand why they exist and what risk they help to reduce.
4. AI can also make some threats harder to recognize
AI can make some fraud, impersonation, and social engineering attempts more sophisticated. For years, a common sign to detect a fraudulent email was spelling errors, strange wording, or an unnatural message. Today, malicious content can be correctly written, use a professional tone, and better adapt to the context of the person receiving it. There may also be attempts at impersonation using artificially generated images, voices, or content.
That is why verifying a request is becoming increasingly important. A well-written message does not guarantee it is legitimate, and a familiar voice should not eliminate the need to validate an unusual request. Cybersecurity increasingly needs judgment, not just pattern recognition.
Cybersecurity Awareness in the AI era: five questions before acting
Five simple questions bring cybersecurity to the moment the decision actually occurs. Before using an AI tool, sharing information, or applying a generated response, it is worth asking yourself:
- Is this tool authorized for use in my organization?
- Am I sharing sensitive, personal, or confidential information?
- Do I need to include all this data to get the result?
- Have I verified the information before using it?
- Do I know what to do if I accidentally share information I shouldn't have?
Security culture also needs to adapt
Many risks continue to depend on decisions that people make every day. An organization may have technology, access controls, policies, and protection tools, but people continue to open links, share documents, authorize access, copy information into platforms, and use automatically generated responses. A strong security culture needs to accompany technological evolution.
Cybersecurity Awareness Professional: developing judgment is also developing security
CertiProf's Cybersecurity Awareness Professional Certification is aimed at strengthening knowledge related to awareness, risk identification, and cybersecurity best practices applicable to the professional environment. The goal is to understand that security does not depend exclusively on technical specialists: every person who interacts with information, systems, and digital tools can contribute to reducing risks. In an environment where AI is increasingly part of daily work, that capacity acquires a new dimension.
Technology changes, and awareness of risk must change too. Understanding what information can be shared, verifying results, respecting security policies, and recognizing potential threats are practices that strengthen both the professional and the organization. Cybersecurity Awareness no longer consists solely of learning how to detect a threat. It also implies learning how to use the technologies that are part of daily work consciously and securely.
To continue developing skills, explore CertiProf's open micro-credentials. To train an entire team, learn about CertiProf for business. If you are defining how your organization governs the use of AI, see ISO 42001 AI Governance Fundamentals (I42001AIGF™).
Strengthen your knowledge in Cybersecurity Awareness
Learn about the CertiProf Cybersecurity Awareness Professional proposal and continue developing competencies to recognize risks, strengthen best practices, and contribute to a better-prepared security culture.
Learn about Cybersecurity Awareness Professional
Frequently asked questions about Cybersecurity Awareness and AI
What is Cybersecurity Awareness?
Cybersecurity Awareness means that individuals understand the risks related to the tools they use and can adopt safer behaviors within their professional activity. In the AI era, it implies not only identifying threats like suspicious emails, but also using AI tools consciously and securely.
Can a security risk arise without an attacker?
Yes. A risk can appear when a person shares sensitive information with an unauthorized tool, uses AI-generated content without verifying it, or incorporates AI platforms into corporate processes without understanding their implications. There is no need to breach a password or exploit a technical flaw.
What information requires care when using AI tools?
Client information, personal data, internal documentation, credentials or passwords, financial information, proprietary code, data related to processes, products or strategies, and legal or confidential documentation. Before sharing, ask if you really need to do so to get the result you are looking for.
What should I ask myself before applying an AI-generated response?
Ask if the tool is authorized in your organization, if you are sharing sensitive information, if you need to include all the data, if you verified the information before using it, and if you know what to do in case you accidentally share something you shouldn't have.
How can I strengthen my knowledge in Cybersecurity Awareness?
CertiProf's Cybersecurity Awareness Free Exam (CAPC™) is a free online exam in Spanish, English, and Portuguese: 20 questions, 30 minutes, and 60% to pass. The official certification and digital badge are optional and are only needed if you pass and wish to obtain them.
