Disinformation Security
Rapid inclusion of technology and exchange of information has transformed how we communicate, work, and interact. Although these advancements have provided numerous benefits, but simultaneously they have created a widespread danger of disinformation.
Key Characteristics of Disinformation
- Intentionality: Disinformation is created with clear objective such as to deceive, control or create division.
- Emotional Appeal: Disinformation campaigns have emotional appeal to them such as they are meant to create fear, anger, or outrage to attract public attention and cause panic.
- Swift Propagation: They are created with intentions of swift propagation as false information spread faster; thus, they present containment challenge.
- Targeted Campaigns: Disinformation tend to target a particular company, ethnic groups, or political belief.
Tackle all these issues, disinformation Security provide methods, technologies and systems integrated together to avert or lessen the impacts caused by intentional circulation of inaccurate or deceptive information. A report from US Department of Homeland Security reveals that between 2020 to 2022, 80 countries were targeted with disinformation campaigns. Moreover, the World Economic Forum has recognized disinformation as a significant global threat to economic stability. Thereby, through the investments in disinformation security, both organisations and societies can protect the integrity of information and promote informed public.
Case Studies related to Disinformation
Conspiracy Theories against Bill Gates during COVID -19 pandemic: Conspiracy theories against Bill Gates claimed that Gates had foreknowledge of the virus and he was responsible for its creation. Some theories posited that he aimed to profit from development of vaccines. The repercussion of this disinformation campaign was significant, as indicated by survey conducted in May 2020, which found that 28% of American adults believed the erroneous assertion that Gates intended to use vaccine for microchip implantation.
Goldman Sachs Ditching Plans to Open Bitcoin Trading: In September 2018, reports emerged that Goldman Sachs has decided against launching a trading desk for cryptocurrencies. Considering the company at that time was heavily investing in cryptocurrencies, the news article created panic amongst its shareholders.
Starbucks “Dreamer Day” Fraud: In 2017, a fake Starbucks advertisement asserted that the company was providing discounts to undocumented immigrants during “Dreamer Day”. The campaign was reportedly initiated by right-wing activists to stack the company.
Technologies Used for Implementing Disinformation Security
Using AI tools for Detection and Analysis: Advance AI is a powerful technological advancement tool to analyze patterns, language use, and context to aid in content moderation, fact-checking, and detection of false information. For instance, AI tool has been developed by researchers at Kelle University that is 99% proficient in detecting fake use by using machine learning techniques. AI is also being used extensively in developing deefake detection systems. To make these AI-driven systems reliable, AI security posture management (AI-SPM) identifies and helps to address vulnerabilities so that the models remain secure and resistant to manipulations or adversarial inputs. For instance, cybersecurity company like Reality Defender provide tools to clients in the financial services, media, and high-tech sectors to prevent deepfake fraud.
Using Blockchain-Based Verification Technologies: Blockchain is used to create tamper-resistant records of content provenance and authenticity. One of the prime examples to understand the working of this technology is presented by implementation of ANSAcheck by Italian news agency ANSA. ANSAcheck is developed by ANSA in collaboration with Ernst & Young, ANSAcheck assigns a distinct hash ID to each news article, which is logged on the Ethereum blockchain at intervals of 15 to 30 minutes. This mechanism not only safeguards ANSA’s brand integrity but also promotes transparency.
Use of Natural Language Processing: NLP algorithms are essential for evaluating the reliability of textual information and recognizing patterns of possible disinformation. Recently NLP was employed to analyze the patterns of misinformation and disinformation on famous social media platform, TIK-Tok. NLP processing was able to provide important insights on patterns of false or fake information.
Major investments in Disinformation Security Technology domain
Investments in Disinformation Security domains are on rise as evident from following examples:
In January 2025, LetsData secured pre-seed funding of USD 1.6 million. The funding will help the company to improve its real-time security radar which is specifically designed for identification of disinformation patterns and related security threats. Real-time security radar as a technology is already trusted by prominent organizations such as NATO member states, UK embassies.
In November 2024, a USD 42 million funding was secured by Logically to efficiently manage harmful misinformation as well as disinformation. The funding was initiated by Amazon Alexa Fund, XTX Ventures, and, Northern Powerhouse Investment Fund.
Emerging Start-Ups in Disinformation Security:
| Company Name |
Headquarters |
Foundation Year |
Description |
| Cyabra |
Israel |
2018 |
Cyabra provides AI based solutions for shielding companies and government organisations against disinformation |
| Blackbird AI |
USA |
2017 |
Involved in development of narrative and risk intelligence tools for detecting dangers posed by misinformation or disinformation. |
| defudger |
Denmark |
2019 |
Leveraging development of three-layer detection system to verify authenticity of digital content. |
| Refute |
UK |
2024 |
Taking quantitative approach to tackle disinformation campaigns for commercial organisations. |
| Factiverse |
Europe |
2021 |
Factiverse focus on developing AI based solutions to detect false and mis-leading information |
Opportunities and Challenges in Disinformation Security
Opportunities: The advancements in generative AI have facilitated the ability of malicious entities to produce and disseminate highly convincing false content, such as deepfakes and advance phishing schemes. Consequently, there has been notable rise in scams, online frauds, social engineering tactics which present significant risks to individuals, corporations, and governmental institutions. Hence, increasing prevalence of these issues provide plethora of opportunities in this sector.
Challenges: The vast scale and rapid dissemination of false information online create considerable obstacles for growth in this sector. Establishing robust security measures to tackle the ongoing threats of disinformation can be a costly business. Additionally, many decision -makers remain unaware of comprehensive of impact of disinformation, resulting in low investments in such security initiatives.
Conclusion
In this era where digitalization has revolutionised the world, safeguarding the integrity of information is crucial for overall well-functioning of democracies, economies, and societies. Although technology itself has accelerated the dissemination of misleading narratives, it also provides the tools necessary for their successful mitigation. Cooperation, education, and innovation are imperative in addressing this global challenge. Hence, by nurturing a collective approach, we can establish a future in which information acts as pillar of advancements rather than division.
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