Use Cases > Cognitive Systems

A key risk for cognitive systems is the manipulation of data inputs. Cyber attackers can deliberately modify or manipulate the training data used by these systems, leading to biased or inaccurate outcomes. Such attacks, known as adversarial examples, can deceive cognitive systems into making incorrect or even harmful decisions. Additionally, cognitive systems may be vulnerable to data poisoning attacks, where malicious actors inject false or malicious data during the training phase, compromising the system's integrity and reliability.

Vigilocity plays a vital role in safeguarding cognitive systems from cyber threats by ensuring the delivery of highly curated and accurate data. Cognitive systems heavily rely on data inputs for training, decision-making, and learning processes. By leveraging its advanced capabilities, Vigilocity employs rigorous data validation and integrity checks to ensure the quality and reliability of the data utilized by cognitive systems.

Through robust data curation, Vigilocity helps prevent the manipulation or injection of false or malicious data that could compromise the integrity and effectiveness of cognitive systems. By implementing comprehensive data validation techniques, Vigilocity identifies and filters out potentially biased or compromised data, reducing the risk of skewed outcomes and decision-making. This process not only enhances the accuracy and reliability of cognitive systems but also reduces their vulnerability to adversarial attacks and data poisoning attempts.

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