- Tadaweb VP Erik Noren has discussed how AI can improve analysts’ focus on relevant intelligence
- Noren detailed how AI condenses data volumes while keeping analysts in the decision-making role
- Noren discussed Tadaweb’s role in helping analysts spot AI-generated content amid rising disinformation
Erik Noren, vice president of product at Tadaweb, said government agencies should adopt a technology that could enable analysts to zero in on the most relevant information amid an expanding volume of publicly available information, or PAI, and open source intelligence.
In an article published on Carahsoft.com, Noren wrote that unclassified, open-source information can offer faster insight than classified channels, particularly as more data once limited to government systems becomes available through commercial sources.
How Does AI Support Analysts?
Noren noted that artificial intelligence enables analysts to condense large volumes of information into more manageable, digestible formats, allowing them to prioritize the points that matter most.
He said the analyst, not the AI system, remains responsible for the final judgment, and that platforms should be transparent about how conclusions were reached.
As an example, he said that if a system synthesizes findings from multiple sources, it should also show which sources contributed to that synthesis.
How Does Tadaweb’s Technology Help Identify Relevant Information?
According to Noren, Tadaweb’s technology is designed for PAI and OSINT use cases.
“It helps analysts zero in on the information that is most relevant by providing a very precise snapshot of the information they ask for at the point when they ask for it,” Noren wrote.
He added that Tadaweb’s OSINT specialists have built tradecraft into the platform to help analysts refine their search questions.
How Does Tadaweb Address Disinformation & Support Analysts?
Noren wrote that disinformation has grown more sophisticated as AI expands the reach of individuals and organizations seeking to spread manufactured narratives, and that such content is increasingly shaping search results and the data used to train large language models.
He said Tadaweb’s approach centers on helping analysts distinguish between human-generated and AI-generated content so they can assess a source’s reliability.
“Although AI is a valuable tool, it’s not about the system making those decisions on the analyst’s behalf. Instead, it’s about giving analysts what they need to quickly, easily and accurately cut through the noise and find the information that really matters,” Noren wrote.
