Cybersecurity involves protecting digital systems, networks, and sensitive information from cyber criminals. These bad actors use various strategies to infiltrate networks and steal important data, from launching phishing attempts to installing malware on computers. It’s crucial for your organization to deploy robust digital defenses to protect your information.
This article outlines how governing boards increasingly implement digital security with artificial intelligence (AI) capabilities, typically as an integration with their meeting software, to proactively address these threats and safeguard organizational assets.
What is Artificial Intelligence?
Artificial intelligence refers to the ability of machines or computer systems to perform tasks that typically require human intelligence. These tasks include problem-solving, learning, reasoning, understanding language, and recognizing patterns.
Organizations leverage AI tools to analyze large datasets, make predictions, and automate tasks, all of which are detailed below.
- Data-driven decision-making: Whether it’s analyzing patient outcome data for the health care industry or compiling student satisfaction surveys in the educational field, AI enhances data-driven decision-making with its ability to evaluate large amounts of information quickly.
- Risk management and fraud detection: AI continuously monitors software behaviors in real time and can quickly flag threats as they appear.
- Predictive analytics for strategic planning: For governing boards, AI improves strategic planning by analyzing previous data and predicting future trends, allowing board members to make more informed decisions.
- Automating routine reporting and compliance: As governing boards review their finances, AI can automatically compile transaction data, generate compliance reports, and ensure adherence to regulations, which saves time and reduces the risk of human errors.
- Meeting minutes: AI uses voice recognition technologies to convert spoken words into written text. This is especially helpful when it comes to recording meeting minutes, as it automates record-keeping while producing clear and accurate summaries.
AI is increasingly becoming a bigger part of organizational operations. Board members must prioritize using AI tools to protect sensitive data and ensure compliance. Without adequate security, organizations become vulnerable to data breaches, cyberattacks, and AI-driven manipulation.
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Artificial Intelligence Security Risks
By implementing artificial intelligence strategies, organizations can better safeguard their systems. Governing boards should be especially careful because of their responsibility to oversee sensitive organizational documents and maintain trusting relationships with stakeholders.
1. Data Privacy and Protection
Incorporating AI into business operations can expose vulnerabilities in data privacy as AI systems often require large amounts of sensitive data. The increasing dependence on digital systems creates a wider attack surface, making organizations and nonprofits more susceptible to data theft and privacy violations. Additionally, third-party services may sell your data to external vendors, potentially exposing sensitive information.
2. Model Inference Attacks
Model inference attacks happen when attackers try to learn sensitive information about the data used to train an AI system by interacting with the model. OnBoard AI mitigates this risk by operating in a private and restricted environment, which prevents cyber criminals from extracting information.
3. Adversarial Attacks
Another type of security attack involves cyber criminals intentionally manipulating input data to mislead or confuse AI models into making incorrect predictions or outputs. These attacks can have serious consequences, such as safety risks and system failures.
4. AI-Powered Phishing and Social Engineering
One of the most common AI security threats involves AI-powered phishing, which uses advanced computer algorithms to create convincing-but-fake emails, messages, or websites. Because of their ability to analyze personal data and behave in the same way as other users in your organization, the scams are often believable.
After gaining the user’s trust, these emails might ask others to log into malware that gives cybercriminals access to their company’s network.
5. Bias and Discrimination
Bias can cause AI systems to unintentionally favor certain groups over others due to flawed algorithms. For example, if your organization uses AI to sort through resumes, a biased model may learn to favor applicants from specific backgrounds over others.
OnBoard AI Powers Effective Board Meetings
OnBoard’s security framework is built to proactively counter AI-driven threats. With robust encryption, real-time monitoring, and continuous risk assessment, OnBoard ensures your organization’s most important data remains secure.
OnBoard offers a seamless, user-friendly interface combined with advanced AI-driven features. Combined with powerful analytics, intuitive design, and top-tier security protocols, OnBoard ensures governing boards can make informed decisions quickly while protecting data and mitigating security risks.
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About The Author
- Josh Palmer serves as OnBoard's Head of Content. An experienced content creator, his previous roles have spanned numerous industries including B2C and B2B home improvement, healthcare, and software-as-a-service (SaaS). An Indianapolis native and graduate of Indiana University, Palmer currently resides in Fishers, Ind.
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