World Solve

Networks of compromised devices, often unknowing to their owners, can be rented out cheaply on illicit markets for attacks like large-scale website disruptions. Dismantling these persistent botnet infrastructures remains an ongoing cybersecurity challenge.

Fake audio clips of political figures making statements they never actually said can spread quickly, and current detection tools don't always catch high-quality fakes before real damage to public understanding occurs. Improving detection speed and reliability remains urgent and unresolved.

AI-generated images can be crafted to appear as authentic evidence in legal contexts, and forensic tools for reliably detecting this kind of fabrication haven't fully caught up. This creates a growing risk to the integrity of legal proceedings.

Data can sometimes leave an organization through informal channels or unauthorized access long before any official breach is detected. Faster, more reliable internal leak detection remains an unresolved cybersecurity challenge.

Mistakes in AI-assisted translation can have serious consequences in legal or medical contexts, yet independent verification of accuracy in these high-stakes settings remains inconsistent. Building reliable safeguards for critical-use translation remains an unresolved challenge.

Malicious browser extensions can steal data or hijack sessions while appearing legitimate in official extension stores, and current vetting processes don't catch every harmful case before it reaches users. Strengthening this screening process remains an ongoing security challenge.

AI can help generate convincing fake diplomas, transcripts, or certification documents, and verification systems haven't fully caught up with detecting these increasingly sophisticated forgeries. Closing this verification gap remains an unresolved challenge for employers and institutions.

Attackers can sometimes broadcast false GPS signals that mislead navigation systems on ships, aircraft, or vehicles, creating serious safety risks. Reliable, widely deployed defenses against this kind of spoofing remain incomplete.

Robocalls and spam calls continue to reach users despite various blocking technologies, partly because scammers can spoof caller information and operate across international boundaries where enforcement is inconsistent. A fully effective, universal solution remains unbuilt.

AI tools can generate large volumes of content that closely mimics existing creative works without directly copying them word for word, making plagiarism harder to detect through traditional methods. Protecting original creators from this kind of derivative flooding remains unresolved.

Scammers can quickly generate convincing fake charity campaigns using AI-created images and stories, especially in the aftermath of real disasters, diverting donations away from legitimate relief efforts. Verifying legitimacy quickly enough remains an unresolved challenge for donation platforms.

Consumer drones have become cheap and widely available, but affordable detection systems for identifying unauthorized or suspicious drone activity in sensitive areas remain limited. Closing this security gap remains an unresolved technical and regulatory challenge.

Existing assistive navigation tools for blind and visually impaired users remain limited in accuracy and are often too expensive for widespread daily use. A truly reliable, affordable solution remains an unmet accessibility need.

Building one app that works well across many different operating systems and device types often results in compromises that make it less polished than a dedicated, platform-specific version. Fully closing this quality gap remains an unresolved software engineering tradeoff.

Many apps still handle intermittent internet connectivity poorly, causing data loss or conflicts when switching between offline and online states. Truly seamless offline-first design remains inconsistently implemented across the software industry.

Attackers can sometimes convince phone carriers to transfer a victim's number to a new device, bypassing two-factor authentication tied to that number. Carriers have improved verification, but this attack method remains an ongoing security gap.

Wireless carriers often prioritize dense urban areas for network upgrades because they're more profitable to build out, leaving rural regions with slower, less reliable coverage. Closing this rural connectivity gap remains a persistent infrastructure challenge.

Scammers increasingly use AI to generate convincing fake job postings and interview processes designed to steal personal information or money from desperate job seekers. Platforms are still catching up to detect and remove these scams effectively.

Scammers increasingly use AI-cloned voices of family members to fake emergencies and pressure victims into sending money quickly, exploiting trust before people have time to verify. Reliable, fast verification methods to counter this remain underdeveloped.

Consumer-grade detection tools for hidden surveillance devices remain unreliable and often expensive, leaving many people vulnerable to covert monitoring in their own homes or workplaces. Making effective detection accessible to everyday consumers remains unresolved.