Technology
How Riot Games is fighting the war against video game hackers
For as long as there have been video games, there have been people willing to find ways to cheat. Hobbyists have long dedicated themselves to finding vulnerabilities in games, often with the goal of developing cheats that they could share or sell. But ever since online competitive gaming became a legitimate profession, that hobby-hacking has morphed into an entire industry that aims to sell an unfair advantage to those willing to pay.
Developing and selling video game cheats can be a lucrative business, and video game developers have in recent years had to beef up their anti-cheat teams, whose mission is to ban cheaters, neutralize the software they use, as well as go after cheat developers. More companies are taking the somewhat controversial step of deploying anti-cheat systems that run at the kernel level, meaning they have the highest privileges in the operating system and can potentially monitor everything that happens on the machine the game is run on.
One of the most prominent kernel-level anti-cheat systems is Vanguard, developed by Riot Games, which makes popular titles such as multiplayer online battle arena game League of Legends and online first-person shooter Valorant.
Essentially, Vanguard “forces cheats to be visible,” said Phillip Koskinas, the director and head of anti-cheat at Riot who describes himself as “an anti-cheat artisan” who was “put on this earth for the one singular purpose of banning cheaters from online video games.”.
Thanks to Vanguard and the anti-cheat team led by Koskinas, Riot bans thousands of cheaters on Valorant every day, according to a chart shared with TechCrunch.

Riot’s efforts seem to be working. As of early 2025, the percentage of Valorant “ranked” games — meaning competitive matches — that have cheaters is now less than 1% globally, the company says.
In an interview with TechCrunch, Koskinas detailed the various strategies that the anti-cheat team at Riot uses to fight cheaters and cheat developers: leveraging the security features in the Windows operating system, fingerprinting cheaters’ hardware to stop them from reoffending, infiltrating cheat communities, and playing psychological games in an effort to discredit cheaters.
‘We can just make them look like fools’
Much of Koskinas and his team’s efforts stem from Vanguard having the deepest level of access to a gamer’s computer. To weed out cheaters, Vanguard takes advantage of some of the security features already built into Windows.
First, Koskinas explained, the anti-cheat software “almost universally” enforces some of Windows’ most important security features, such as Trusted Platform Module, a hardware-based security component, and Secure Boot. These two technologies check if a computer has been modified or tampered with, such as by malware or a cheat, and prevents it from booting if so. Then, Vanguard checks that all of the computer’s hardware drivers, which allow the operating system to communicate with the hardware, are up to date to identify additional hardware that can enable cheating. Finally, Vanguard prevents cheats from loading and executing code in the kernel’s memory.
“Basically, all the security features that Microsoft and hardware manufacturers have leveraged to protect the operating system, we use or enforce,” Koskinas told TechCrunch. “We have to have a playground where we can play. We have to enforce a certain level of security.”
But fighting cheaters is not just about technology; it’s also about understanding the cheaters themselves and how they operate.
Koskinas’s team has a “reconnaissance arm,” he said, whose primary responsibility is to obtain and catalog threats, which sometimes involves acquiring cheats. The team obtains cheats in part by using sock puppet identities that have infiltrated cheater and cheat developer communities for years, akin to undercover operations.
“We’ve even gone as far as giving anti-cheat information to establish credibility. We’ll masquerade as though it was something we [reverse engineered], and explain how an anti-cheat technique works to demonstrate that we know stuff,” said Koskinas. “And then leverage our way into something in development, and then sit there until it launches, allow it to acquire users and then ban everybody.”
Contact Us
Do you develop cheats, hack video games, or work in anti-cheat? We’d love to hear from you. From a non-work device and network, you can contact Lorenzo Franceschi-Bicchierai securely on Signal at +1 917 257 1382, or via Telegram and Keybase @lorenzofb, or email.
Some cheat developers try to stay undetected by only selling to a few customers, essentially marketing their product as high-end, or “premium” cheats, as Koskinas calls them. These premium cheats can cost thousands of dollars, and are sold to only a handful of customers, said Koskinas.
Cheat makers use this strategy to reduce the risk of selling to a Riot undercover employee, but also to customers who will be more careful about blatant cheating and exposing the cheat.
These developers are essentially selling “the reputation of being undetected,” said Koskinas. One of Riot’s anti-cheat team’s “strongest weapons,” he said, is discrediting cheat developers publicly by, for example, banning all their players, or leaking screenshots showing they are inside their Discord channels.
“We can just make them look like fools,” he said.
Koskinas and his team also have to be careful not to come down too hard. By letting a little cheating happen, within reason, Riot can slow down gamers from getting better cheats. “If we hit every player every time, they will just change cheats until they find the one that isn’t detected,” he said.
“To keep cheating dumb, we ban slower,” he added.
To stop repeat offenders, Vanguard can “fingerprint” the hardware that a cheater uses — effectively uniquely identifying their device — to make it harder for that player to obtain a new cheat and continue cheating.
In a more psychological strategy, Koskinas and his colleagues also troll cheaters publicly by calling them, among other things, “a brainless pathogen,” who have an “inability to get good at this video game.”
The cheater’s toolbox
Thanks to all these techniques and strategies, most cheaters can now be roughly divided into two categories. The first, representing the majority of cheaters, is made up by those who are “rage cheating” by using cheap tools that are easy to detect. Riot employees sarcastically call these cheats “download-a-ban,” according to Koskinas.
“A lot of cheaters, if you think about it, they’re kind of young,” he said. “A lot of them haven’t grown up yet. The way they engage with games is by cheating, and a lot of that behavior is like the power you feel when you do it.”
“They’re going to come back, they’re going to get banned, and they’re just going to do that every weekend for the next two to three years… And then, eventually they’ll hit puberty, and that’ll hopefully do,” Koskinas said, smiling.
The second category comprises those few who use premium cheats that are harder to detect. These tools are known as “external” cheats, Koskinas explains, because they depend on using actual hardware, not just software.

One type of external cheat relies on a direct memory access (DMA) attack. DMA cheats require players to use specialized hardware — think high-speed PCI Express cards — that exfiltrates all of Valorant‘s memory to a separate computer that can scrutinize the game on dedicated hardware, outside of the purview of Vanguard.
By doing this, the cheater’s separate computer can be used to identify other players; in-game objects like walls, ammunition and weapons; and identify precisely where players and items are in the map. This can also include objects that are not visible to gamers. Then, using the firmware installed on the cards, the cheat creates a radar on a second screen that they can look at to spot rival players — even if they are hidden — to gain an unfair advantage.
A more advanced version of this type of cheat, according to Koskinas, relies on HDMI fusers, which overlay what’s read by the separate computer back on the cheater’s main screen. This way, the cheater doesn’t have to look between computer displays to see where their opponents are, letting them focus on the display they are playing the game with.
These techniques allow the cheater to see through walls — known as “wallhacks” — and grant what is referred to as “extra-sensory perception,” essentially superpowers within the game.
“I think we detect the majority of it today, but it’s kind of iterative,” said Koskinas.
Then there are screen reader cheats, where a computer’s HDMI output is sent to a second computer that detects and classifies what is on the game’s display, such as the head of an opponent player. The second computer then sends back an instruction to an Arduino mini-computer for controlling robotics, for example, which is connected to the cheater’s mouse and lets the player automatically aim at other players — a type of cheat known as an “aimbot.” As Koskinas put it, “basically the mouse, for all intents and purposes, is being governed by a machine.”
If the cheat performs well, it can be hard to detect, but Koskinas said that in the long run, the cheater “doesn’t look like a human player” because of how accurate they are aiming and shooting at their rivals.
“You have to humanize [the cheat] to a degree where the advantage is imperceptible from what a human can do,” said Koskinas. “And once you’re there, you’re not really cheating enough to make it worth it for most users.”
Even then, this technique is popular, Koskinas concedes. The downside is that it requires a potentially expensive second PC with a fast graphics processor to quickly classify what’s happening on the screen and send the instructions back.
The future of cheating
Koskinas says he often worries about the use of AI for screen classification, to learn what human inputs look like, and how to reproduce them.
“That’s already here,” he said. “Especially in Valorant with those bright outlines, you can almost do it with just an algorithm […] You could just actually discreetly say if the percentage of this box is enough purple, press the fire key.” For context, characters in Valorant have distinct and vivid color schemes.
Despite the security and privacy risks associated with anti-cheat technology having kernel-level access, Riot has no plans to move away from its approach for its anti-cheat engine, at least for Valorant. Otherwise, it would make it too easy for cheaters to use kernel exploits, according to Koskinas.
In general, Koskinas is trying to be more transparent about Riot’s anti-cheat efforts, including publishing several blog posts on how the company goes after cheaters, as well as talking to journalists. The idea, he said, is that because Riot has “the most invasive anti-cheat by asking people to have a service running at all times,” players deserve to know how the company is using that privilege.
“The best thing I feel like we can do in asking for that level of access and being around like that, is being as transparent about the opacity as we can,” said Koskinas.
“We’re not telling you what’s under the hood, but we’ll tell you almost anything else,” he said.
Technology
The Case for Custom eLearning Platforms: Why Organizations Are Making the Switch
The corporate eLearning market has exploded in recent years, growing over 800% since 2000. As the demand for eLearning continues to accelerate, more and more organizations are finding that off-the-shelf solutions cannot keep pace with their training needs. This has led many companies to make the switch to custom-built eLearning platforms tailored specifically for their requirements.
There are several key reasons driving the demand for customized eLearning tools:
Greater Flexibility and Scalability
Generic eLearning software packages often impose rigid constraints that limit their ability to adapt to an organization’s evolving needs. Meanwhile, the “one-size-fits-all” approach fails to support the personalized learning critical for employee development. Custom platforms provide flexibility to add and modify features to match ever-changing business goals. As companies scale training across global workforces, custom solutions built on cloud infrastructure can scale seamlessly to handle growing demand.
Deeper Integration Across Systems
Smooth integration with existing HR, LMS, and other business systems is critical for optimizing training workflows. However, off-the-shelf tools rarely integrate well, creating data and process siloes. Custom platforms can tightly integrate role-based learning paths with core business applications, sync user profiles, enable single sign-on, and more. This level of integration catalyzes more impactful training function.
Better Data and Analytics
Generic software severely limits access to data insights that drive improvement. Custom platforms unlock a trove of analytics on content consumption, learner progression, platform adoption, and real-time feedback. Integrated analytics dashboards and APIs allow businesses to derive deep visibility across the learner lifecycle. These insights help continuously enhance learner experience, target development gaps, and demonstrate direct training ROI.
Enhanced Learner Engagement
For modern learners accustomed to consumer-grade digital experiences, poor platform usability quickly erodes engagement. Custom designs allow companies to incorporate familiar features from popular apps and websites while optimizing for their audience. Adaptive learning approaches further personalize content to individual styles and needs. With modular component architecture, custom platforms stay on the cutting edge of new modalities like AR/ VR to captivate learners.
Brand and Culture Alignment
Off-the-shelf tools impose a generic and often disruptive experience that clashes with existing brand identity and culture. In contrast, custom platforms allow organizations to carry over familiar styling, voice, and workflow patterns. Consistency in experience preserves brand recognition while smoother onboarding leads to wider adoption across all employee groups. Over time, the platform can evolve alongside cultural changes as well.
While custom elearning tools require greater upfront investment, for enterprise training needs, the long-term benefits far outweigh the costs. The ability to mold platforms to current and future needs results in greater leverage from learning spend.
As businesses demand ever-more from their learning technology, custom solutions provide the agility needed for true scale. Rather than forcing training functions into the constraints of generic software, custom elearning development keeps the focus on nurturing talent and capabilities. For any organization looking to drive workforce transformation through learning, custom elearning represents the way forward.
Technology
Pintarnya raises $16.7M to power jobs and financial services in Indonesia
Pintarnya, an Indonesian employment platform that goes beyond job matching by offering financial services along with full-time and side-gig opportunities, said it has raised a $16.7 million Series A round.
The funding was led by Square Peg with participation from existing investors Vertex Venture Southeast Asia & India and East Ventures.
Ghirish Pokardas, Nelly Nurmalasari, and Henry Hendrawan founded Pintarnya in 2022 to tackle two of the biggest challenges Indonesians face daily: earning enough and borrowing responsibly.
“Traditionally, mass workers in Indonesia find jobs offline through job fairs or word of mouth, with employers buried in paper applications and candidates rarely hearing back. For borrowing, their options are often limited to family/friend or predatory lenders with harsh collection practices,” Henry Hendrawan, co-founder of Pintarnya, told TechCrunch. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”
Around 59% of Indonesia’s 150 million workforce is employed in the informal sector, highlighting the difficulties these workers encounter in accessing formal financial services because they lack verifiable income and official employment documentation.
Pintarnya tackles this challenge by partnering with asset-backed lenders to offer secured loans, using collateral such as gold, electronics, or vehicles, Hendrawan added.
Since its seed funding in 2022, the platform currently serves over 10 million job seeker users and 40,000 employers nationwide. Its revenue has increased almost fivefold year-over-year and expects to reach break-even by the end of the year, Hendrawn noted. Pintarnya primarily serves users aged 21 to 40, most of whom have a high school education or a diploma below university level. The startup aims to focus on this underserved segment, given the large population of blue-collar and informal workers in Indonesia.
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“Through the journey of building employment services, we discovered that our users needed more than just jobs — they needed access to financial services that traditional banks couldn’t provide,” said Hendrawan. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”

While Indonesia already has job platforms like JobStreet, Kalibrr, and Glints, these primarily cater to white-collar roles, which represent only a small portion of the workforce, according to Hendrawan. Pintarnya’s platform is designed specifically for blue-collar workers, offering tailored experiences such as quick-apply options for walk-in interviews, affordable e-learning on relevant skills, in-app opportunities for supplemental income, and seamless connections to financial services like loans.
The same trend is evident in Indonesia’s fintech sector, which similarly caters to white-collar or upper-middle-class consumers. Conventional credit scoring models for loans, which rely on steady monthly income and bank account activity, often leave blue-collar workers overlooked by existing fintech providers, Hendrawan explained.
When asked about which fintech services are most in demand, Hendrawan mentioned, “Given their employment status, lending is the most in-demand financial service for Pintarnya’s users today. We are planning to ‘graduate’ them to micro-savings and investments down the road through innovative products with our partners.”
The new funding will enable Pintarnya to strengthen its platform technology and broaden its financial service offerings through strategic partnerships. With most Indonesian workers employed in blue-collar and informal sectors, the co-founders see substantial growth opportunities in the local market. Leveraging their extensive experience in managing businesses across Southeast Asia, they are also open to exploring regional expansion when the timing is right.
“Our vision is for Pintarnya to be the everyday companion that empowers Indonesians to not only make ends meet today, but also plan, grow, and upgrade their lives tomorrow … In five years, we see Pintarnya as the go-to super app for Indonesia’s workers, not just for earning income, but as a trusted partner throughout their life journey,” Hendrawan said. “We want to be the first stop when someone is looking for work, a place that helps them upgrade their skills, and a reliable guide as they make financial decisions.”
Technology
OpenAI warns against SPVs and other ‘unauthorized’ investments
In a new blog post, OpenAI warns against “unauthorized opportunities to gain exposure to OpenAI through a variety of means,” including special purpose vehicles, known as SPVs.
“We urge you to be careful if you are contacted by a firm that purports to have access to OpenAI, including through the sale of an SPV interest with exposure to OpenAI equity,” the company writes. The blog post acknowledges that “not every offer of OpenAI equity […] is problematic” but says firms may be “attempting to circumvent our transfer restrictions.”
“If so, the sale will not be recognized and carry no economic value to you,” OpenAI says.
Investors have increasingly used SPVs (which pool money for one-off investments) as a way to buy into hot AI startups, prompting other VCs to criticize them as a vehicle for “tourist chumps.”
Business Insider reports that OpenAI isn’t the only major AI company looking to crack down on SPVs, with Anthropic reportedly telling Menlo Ventures it must use its own capital, not an SPV, to invest in an upcoming round.
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