US AI Security Company Outtake Product Lead: Pushing for Deletion Before Users See Fake Content
In an interview, James Oh (오택환), Experimental Product Lead at Outtake, outlined the core logic of the company's AI safety strategy: Generative AI makes it easier and faster to create fake websites, and the asymmetry between attackers' costs and the benefits of deception makes response speed a critical variable. While Outtake helps users distinguish between real and fake content, it places greater emphasis on pushing for deletion before users see the fake material. The article also introduces its multi-agent orchestration architecture, empirical research on prompt injection targeting AI agents themselves, and strategies such as execution environment isolation.
Generative AI is changing the cost structure of social engineering attacks. In an early November 2026 video interview with the Korean tech media Byline Network, James Oh (오택환), Experimental Product Lead at Outtake, pointed out that the cost for attackers to create a single fake website may be far lower than the benefit gained from successfully deceiving one user. This means that defenders cannot rely solely on helping users identify real from fake; they must also push for the removal of fake content before users see it.
This judgment forms the starting point for Outtake's entire product architecture. Founded in 2023 by former Palantir engineer Alex Dylan, the company completed a $40 million follow-on funding round in January 2026, bringing its cumulative funding to approximately $60 million. Its technical approach involves deploying multiple AI agents to collaborate on specialized tasks: information collection, risk classification, deep investigation, and response execution are handled by dedicated agents, connected through 'agent orchestration.' Among these, the 'Recon Agent' starts from a single suspicious domain, tracking associated accounts, websites, and infrastructure to map out a complete attack network graph, and automatically initiates deletion requests.
James Oh believes that the key lies not just in discovering individual fake websites, but in revealing the connections between multiple attacks. He illustrated this with a specific scenario: after discovering a fake login page impersonating a company, the Recon Agent investigates accounts linked to that page, other websites, and operational infrastructure. It identifies correlation patterns from the collected information to determine if the attacker is repeating the same fraudulent behavior across multiple platforms.
A customer case published by the company involves the US financial services provider Cash App. According to Outtake, within the first three months of introducing its system, the platform reviewed over 3.5 million video-centric social media posts and identified more than 2,400 pieces of fraudulent content. James Oh emphasized that while traditional security tools mainly process text and images, Outtake has expanded its detection scope to include voice and visual content in videos. However, these figures are self-reported by the company and have not been independently verified. Notably, even if Outtake collects evidence and automatically initiates deletion requests, the final decision to delete a website or account rests with the platform hosting the service.
Outtake is currently researching a new direction where AI agents themselves become targets of attack. When AI agents browse webpages, collect information, and even execute transactions on behalf of humans, publicly available content on the internet becomes a new attack surface. In February 2026, James Oh conducted a direct investigation into Moltbook, an AI agent social network: his security agent, OuttakeSheriff, analyzed 106,097 posts, filtering out 134 suspicious ones, after which an independent verification agent confirmed approximately 20 actual threats among them.
Among these 20 cases, one specific technique involved embedding instructions in webpage HTML comments that AI agents would read but humans would not, inducing the agent to focus on specific accounts. Additionally, posts were found attempting to induce agents to send tokens or emails. These techniques are known as 'prompt injection'—hiding malicious instructions in external content to alter AI agent behavior. James Oh noted that while actual information or fund theft has not been confirmed, the research demonstrates the risk that agents might misjudge content read from the internet as legitimate work instructions.
His response strategy has two layers: first, pre-filtering unnecessary or suspicious content when agents read external webpages, passing only the information required for the task; second, limiting the scope of agent permissions. He used the analogy of assigning tasks to human interns—agents should be given the authority needed to complete their work, but operations with high potential loss upon error should not be entrusted to them. Outtake is developing execution environment isolation solutions so that agents investigating external attack sites cannot access the company's internal sensitive systems, ensuring that even if deceived by malicious instructions, the damage does not spread to other systems.
Regarding long-term judgments about this market, James Oh believes that while AI lowers the costs of software development and usage, it correspondingly increases the demand for security protection and the ability to distinguish real from fake. He specifically mentioned growth potential in the South Korean market and emphasized that defensive companies must learn to leverage AI, otherwise they will be unable to cope with the changed scale and speed of attacks. These judgments belong to industry observations from the company's strategic perspective and have not yet been quantified by public market size data or third-party research.