
$28 million in Texas' cybersecurity funding for schools left unspent
"We got people back online that same day, within hours," Orta said. "But behind the scenes, there's a lot happening."
For the next three months, Orta said the district underwent a massive repair and investigation operation. It was a process that turned out to be costly.
School records obtained by the I-Team show that while Allen ISD never sent a penny in ransom to hackers, between security contractors, IT repairs and legal fees, the response to this one cyberattack cost the district more than $385,000.
"The reality is that these things cost money," Orta said. "Defending against threats, modernizing and upgrading, having staff that knows how to do those things and can implement and monitor on a daily basis, costs money."
Schools and cybersecurity
Allen ISD isn't alone. Schools have become prime targets for computer hackers.
Between July 2023 and December 2024, 82% of K-12 schools experienced a cyberattack, according to a report from the Center for Internet Security. That same report showed 86% of schools said a lack of funding was their top concern in defending against cyberattacks.
To address the issue in Texas, two years ago, state lawmakers set up the K-12 Cybersecurity Initiative, setting aside $55 million to help schools protect their computer systems.
But despite the need, the I-Team found that nearly two years into the program, only a fraction of the money has been used.
Leaving money on the table
Of the more than 900 school districts in Texas, only 300 had applied as of January 2025, according to records from the Texas Education Agency. By the time this two-year program ends in September, $28 million will be left on the table.
The TEA said many school districts were hesitant to apply, fearing that if the funding ends, they would have to pull money from other parts of the budget or quickly change cybersecurity plans. Other districts didn't apply because they didn't initially qualify.
When the program was first unveiled, only districts with fewer than 15,000 students were eligible. The threshold has since been raised to districts with fewer than 50,000 students.
See the map below for details on which school districts have applied for assistance from the K-12 Cybersecurity Initiative:
While hundreds of districts didn't apply, many that did said the program has helped them enhance security in ways they wouldn't have been able to otherwise.
Megan Corns, the Chief Technology Officer at Red Oak ISD, said she "absolutely" believes the program has helped prevent a cyber incident. The district received nearly $30,000 from the state. She said the money paid for a cyber detection response system.
"Which really just provides us a security guard to watch over all the devices and tell us if there's anything malicious on a device," Corns said. "That's something that I couldn't staff. I'm not going to be able to have a staff member that's going to be able to watch all of the devices at the same time."
As of January, the state reported that detection response systems funded by the program have blocked more than 1,400 ransomware-related activities.
In April, Allen ISD became the latest school district to benefit from the K-12 Cybersecurity Initiative. The district received $175,000.
In an email to the I-Team, a TEA spokesperson said that while "the program took some time to get started," the agency expects more school districts to apply if funding is renewed for another two years. The TEA is asking state lawmakers for $42 million to fund the program through September 2027.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
18 minutes ago
- Yahoo
2 Artificial Intelligence (AI) Stocks the U.S. Government Is Actively Backing in 2025
Key Points Defense Secretary Pete Hegseth outlined a vision for the U.S. government to leverage more software across its operations. So far this year, data analytics platforms Palantir Technologies and have been notable beneficiaries in the public sector. Both companies' software is deployed across numerous government agencies, but I see one of these high-flying AI stocks as the clear winner. 10 stocks we like better than Palantir Technologies › When it comes to artificial intelligence (AI) stocks, chances are investors' thoughts may turn to semiconductors, massive data centers, or cloud computing infrastructure. This is great news for chip powerhouses and hyperscalers like Nvidia, Advanced Micro Devices, Broadcom, Taiwan Semiconductor Manufacturing, Microsoft, Amazon, or Alphabet, but investors could be overlooking emerging opportunities beyond the usual suspects. Enterprise-grade software will become an increasingly vital layer atop the hardware stack. The commercial angle is to market AI-powered software to large corporations with complex needs spanning data analytics, logistics, human resources, cybersecurity, and more. But there is another opportunity outside of the private sector: how AI is redefining one of the largest and most sophisticated enterprises of all, the U.S. government. Earlier this year, Defense Secretary Pete Hegseth announced a plan to allocate more spending toward the Software Acquisition Pathway (SWP), a strategy first deployed in 2020. Its stated aim is to "provide for the efficient and effective acquisition, development, integration, and timely delivery of secure software." Let's explore how Palantir Technologies (NASDAQ: PLTR) and (NYSE: BBAI) are capitalizing on AI's shift from hardware to software and how each company is approaching the opportunity with SWP. 1. Palantir Technologies: The AI darling of the U.S. government Palantir has been at the center of several notable deals with the federal government throughout 2025. In late May, it deepened its relationship with the Department of Defense (DOD) through a $795 million extension featuring its Maven Smart System (MSS). This brought the total value of the MSS program to $1.28 billion, making it a long-term revenue driver. More recently, the company won a deal with the Army reportedly worth up to $10 billion over the next 10 years. Palantir's wins extend beyond the U.S. military as well. The company is building the Immigration Lifecycle Operating System -- often referred to as ImmigrationOS -- for Immigration and Customs Enforcement (ICE). Signing multiyear billion-dollar deals provides Palantir with high revenue visibility, keeps its customer base sticky, and opens the door to upsell or cross-sell added services down the road. The ability to parlay its defense expertise into other government functions also expands Palantir's public sector footprint and reinforces the breadth of its capabilities -- solidifying its role as a ubiquitous AI backbone for the U.S. government. 2. A niche player helping the public sector Another AI software developer that has signed deals with the U.S. government this year is In February, it won a contract with the DOD to design a system to assist national security decision-making by analyzing trends and patterns in foreign media. Shortly thereafter, the company won a $13.2 million deal spread over three and a half years to support the Joint Chiefs of Staff's force management and data analytics capabilities. In May, the company partnered with Hardy Dynamics to advance the Army's use of machine learning and AI for autonomous drones. Lastly, has a deal with U.S. Customs and Border Protection to deploy its biometric AI infrastructure system, called Pangiam, at a dozen major airports across North America to help streamline arrivals and improve security protocols. Which is the better stock: Palantir or Between the two stocks, I see Palantir as the clear choice. has proved it can win meaningful government contracts, but its work is more niche-focused and smaller in scale compared to Palantir's multibillion-dollar deals across multiple platforms. In my view, popularity is largely with retail investors who are hoping that it becomes the "next Palantir." Smart investors know that hope is not a real strategy. Prudent valuation analysis -- and not speculation -- is required to know which stock is truly worth buying. While some on Wall Street may argue that Palantir stock is cheap based on software-specific metrics such as the Rule of 40, I'm not entirely bought into such a narrative. Traditional approaches to valuation, such as the price-to-sales ratio (P/S), show that Palantir is the priciest software-as-a-service stock among the businesses in the chart above -- and its valuation expansion means that shares are becoming even more expensive as the stock continues to rally. Palantir is an impressive company that has proved it can deliver on crucial applications, but the stock is historically expensive. I think that investors are better off waiting for a more reasonable entry point and paying a more appropriate price down the road. Should you buy stock in Palantir Technologies right now? Before you buy stock in Palantir Technologies, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Palantir Technologies wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $668,155!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,106,071!* Now, it's worth noting Stock Advisor's total average return is 1,070% — a market-crushing outperformance compared to 184% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of August 13, 2025 Adam Spatacco has positions in Alphabet, Amazon, Microsoft, Nvidia, and Palantir Technologies. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Amazon, Datadog, Microsoft, MongoDB, Nvidia, Palantir Technologies, ServiceNow, Snowflake, and Taiwan Semiconductor Manufacturing. The Motley Fool recommends Broadcom and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy. 2 Artificial Intelligence (AI) Stocks the U.S. Government Is Actively Backing in 2025 was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data


Digital Trends
19 minutes ago
- Digital Trends
I've tested OpenAI's claims about GPT-5 — here's what happened
OpenAI recently launched GPT-5, its latest large language model and a huge update to ChatGPT. While the new update has a lot going for it, claims are one thing, and reality is another. GPT-5 is said to be faster, less prone to hallucination and sycophantic behavior, and able to choose between fast responses and deeper 'thinking' on the fly. How many of OpenAI's claims are actually visible when using the chatbot? Let's find out. Claim #1: ChatGPT is now better at following instructions My main problem with ChatGPT, as well as one of the reasons why I recently unsubscribed, is that it's often pretty bad at following basic instructions. Sure, you can prompt engineer it to oblivion and get your desired results (sometimes), but even semi-elaborate prompts often fail to produce desired results. Recommended Videos OpenAI claims that it improved 'instruction following' with the release of GPT-5. To that, I say: I don't see it yet. Luckily for me, on the very day I sat down to write this article, I had a fitting interaction with ChatGPT that proves my point here. It's not the only one, though, and I have generally noticed that the longer a conversation goes on, the more ChatGPT forgets what was asked of it. In today's example, I tested ChatGPT's ability to fetch simple information and present it in the required format. I asked it for the specs of the RTX 5060 Ti, which is a recent gaming graphics card. Chaos ensued. To make my prompt even more successful, I showed ChatGPT the exact format I wanted to get my information in by sharing specs for a different GPU. They included things like the exact process node and the generation of ray tracing cores and TOPS. Long story short, it was all pretty specific stuff. Initially, the AI told me that the RTX 5060 Ti doesn't exist yet, which I kind of expected to happen based on its knowledge cutoff. I told it to check online. What I got was pretty barebones. ChatGPT omitted at least four things that I asked for, and gave me the wrong information for one of the specs. Next, I asked it to specify a few things. It gave me the exact same list in return while claiming to have fulfilled my request. The same happened on the third attempt. You can see it in the screenshot above where ChatGPT claims to have included the generation of TOPS and TFLOPS in the list — it clearly did not. Finally, semi-frustrated, I pasted a screenshot from the official Nvidia website to show it what I was looking for. It still got a couple of things wrong. My initial prompt was semi-precise. I know better than to speak to an AI like it's a person, so I gave it about 150 words' worth of instructions. It still took me several more messages to get something close to my expected result. Verdict: It could still use some work. Claim #2: ChatGPT is less sycophantic ChatGPT was a major 'yes man' in previous iterations. It often agreed with users when it didn't need to, driving it deeper and deeper into hallucination. For users who aren't familiar with the inner workings of AI, this could be borderline dangerous — or, in fact, actually extremely dangerous. Researchers recently carried out a large-scale test of ChatGPT, posing as young teens. Within minutes of simple interactions, the AI gave those 'teens' advice on self-harm, suicide planning, and drug abuse. This shows that sycophantic behavior is a major problem for ChatGPT, and OpenAI claims to have curbed some of it with the release of GPT-5. I never tested ChatGPT to such extremes, but I've definitely found that it tended to agree with you, no matter what you said. It took subtle cues during conversation and turned them into a given. It also cheered you on at times when it likely shouldn't have done so. To that end, I have to say that ChatGPT has gone through an entire personality change — for better or worse. The responses are now overly dry, unengaging, and not especially encouraging. Many users mourn the change, with some Reddit users claiming they 'lost their only friend overnight.' It's true that the previously ultra-friendly AI is now rather cut-and-dry, and the responses are often short compared to the emoji-infested mini-essays it regularly served up during its GPT-4o stage. Verdict: Definitely less sycophantic. On the other hand, it's also painfully boring. Claim #3: GPT-5 is better at factual accuracy The shocking lack of factual accuracy was another big reason why I chose to stop paying for ChatGPT. On some days, I felt like half the prompts I used produced hallucinations. And it can't all be down to my lack of smart prompting, because I've spent hundreds of hours learning how to prompt AI the right way — I know how to ask the right questions. Over time, I've learned to only ask about things I already had a vague idea about. For the purpose of today's experiment, I asked about GPU specs. Four out of five queries produced some kind of wrong information, even though all of it is readily available online. Then, I tried historical facts. I read a couple of interesting articles about the journey of Hindenburg, an airship from the 1930s that could ferry passengers from Europe to the U.S. in record time (60 hours). I asked about its exact route, the number of passengers it could house, and what led to its ultimate demise. I cross-checked the responses against historical sources. It got one thing wrong on the route, mentioning a stop in Canada when no such thing took place — the airship only flew over Canada. ChatGPT also gave me inaccurate information about the exact cause of the fire that led to its crash, but it wasn't a major inaccuracy. For comparison's sake, I also asked Gemini, and was told that it can't complete that task for me. Well, out of the two, GPT-5 did a better job — but honestly, it shouldn't have any factual inaccuracies in century-old data. Verdict: Not perfect, but also not terrible. Is GPT-5 better than GPT-4o? If you asked me whether I like GPT-5 more than GPT-4o, I'd have had a hard time responding. The closest thing that comes to mind is that I wasn't thrilled with either, but in all fairness, neither are strictly bad. We're still in the midst of the AI revolution. Each new model brings certain upgrades, but we're unlikely to see massive leaps with every new iteration. This time around, it feels like OpenAI chose to tackle some long-overdue problems rather than introducing any single feature that makes the crowds go wild. GPT-5 feels like more of a quality-of-life improvement than anything else, although I haven't tested it for tasks like coding, where it's said to be much better. The three things I tested above were some of the ones that annoyed me the most in previous models. I'd like to say that GPT-5 is much better in that regard, but it isn't — not yet. I will keep testing the chatbot, though, as a recently leaked system prompt tells me that there might have been more personality changes than I initially thought.
Yahoo
an hour ago
- Yahoo
Crypto analyst eyes XRP breaking out to new all-time high
Crypto analyst eyes XRP breaking out to new all-time high originally appeared on TheStreet. Popular crypto analyst Ali Martinez, who recently nailed the XRP price prediction around the recent conclusion of the Ripple vs. Securities and Exchange Commission (SEC) legal saga, has come up with a new prediction. Martinez, known as @ali_charts on X, shared a price analysis chart for XRP on Aug. 15 in which the cryptocurrency is shown to be forming a symmetrical triangle. A symmetrical triangle is a type of price analysis pattern in which an asset's price consolidates over time, creating lower highs and higher lows. It results in two converging trendlines that look like a triangle. Once the two lines converge, the price breaks out. The chart shows XRP trading at $3.10, and the dotted lines show that a price consolidation within a triangle will take place by the end of August. If XRP breaks above $3.26, it could next reach the price of $3.90 within the first week of September, Martinez is the third-largest cryptocurrency, which has a market cap of more than $184 billion. It hit an all-time high (ATH) of $3.84 on Jan. 4, 2018, and if Martinez's prediction comes true, the asset will hit a new ATH of $3.90. On Aug. 15, lawyer James Filan shared that the SEC reminded the court that the stipulation of the joint appeal filed by the SEC and Ripple to dismiss their appeals is still pending. XRP was trading at $3.09 at press time. The crypto asset needs to surge 25% to reach Martinez's price target of $3.90. Crypto analyst eyes XRP breaking out to new all-time high first appeared on TheStreet on Aug 16, 2025 This story was originally reported by TheStreet on Aug 16, 2025, where it first appeared.