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Netscout boosts network observability with Wi-Fi 7 monitoring, certificate lifecycle tracking

The sensors capture and analyze packet-level data at the remote site itself rather than backhauling traffic to a central monitoring point. This architecture provides application-level performance metrics and protocol analysis without consuming WAN bandwidth for monitoring purposes. “There’s a lot of different enterprises that are coming to us saying they’re trying to evaluate whether they’re […]

The sensors capture and analyze packet-level data at the remote site itself rather than backhauling traffic to a central monitoring point. This architecture provides application-level performance metrics and protocol analysis without consuming WAN bandwidth for monitoring purposes.

“There’s a lot of different enterprises that are coming to us saying they’re trying to evaluate whether they’re going to go to private 5G or Wi-Fi 7,” Broughton explained. 

Healthcare organizations represent a key vertical wrestling with this decision. Hospital environments require reliable coverage through RF-shielded patient rooms, making signal propagation a critical factor.

Rick Fulwiler, senior director of product management at Netscout, described how the platform measures user experience across different wireless standards. “It’s all about looking at experience and how that experience is affecting employees of the hospital, the applications that they’re using in those environments,” Fulwiler told Network World.

The Wi-Fi 7 standard expands across multiple frequency bands and increases channel capacity compared to earlier versions. These changes create new variables that affect application performance. The sensors track performance on a per-application basis, enabling IT teams to validate whether Wi-Fi 7 deployments deliver the expected improvements.

Organizations can use the data during pilot deployments to make infrastructure decisions. The platform shows which applications perform better on Wi-Fi 7 versus Wi-Fi 6 in specific physical locations before committing to a full rollout.

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Stay ahead with more perspectives on cutting-edge power, infrastructure, energy,  bitcoin and AI solutions. Explore these articles to uncover strategies and insights shaping the future of industries.

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Crooks are hijacking and reselling AI infrastructure: Report

Threat actors may not only be stealing AI access from fully developed applications, the researchers added. A developer trying to prototype an app, who, through carelessness, doesn’t secure a server, could be victimized through credential theft as well. Joseph Steinberg, a US-based AI and cybersecurity expert, said the report is

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Amazon confirms 16,000 job cuts, including to AWS

Amazon is cutting about 16,000 jobs across the company, SVP of People Experience and Technology Beth Galetti wrote in an email to employees Wednesday. The cuts were widely expected — and although Galetti’s email did not mention Amazon Web Services, the cuts came as no surprise to AWS staff, some

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USA Crude Oil Stocks Drop Week on Week

U.S. commercial crude oil inventories, excluding those in the Strategic Petroleum Reserve (SPR), decreased by 2.3 million barrels from the week ending January 16 to the week ending January 23. That’s what the U.S. Energy Information Administration (EIA) highlighted in its latest weekly petroleum status report, which was released on January 28 and included data for the week ending January 23. According to the report, crude oil stocks, not including the SPR, stood at 423.8 million barrels on January 23, 426.0 million barrels on January 16, and 415.1 million barrels on January 24, 2025. The report highlighted that data may not add up to totals due to independent rounding. Crude oil in the SPR stood at 415.0 million barrels on January 23, 414.5 million barrels on January 16, and 394.8 million barrels on January 24, 2025, the report revealed. Total petroleum stocks – including crude oil, total motor gasoline, fuel ethanol, kerosene type jet fuel, distillate fuel oil, residual fuel oil, propane/propylene, and other oils – stood at 1.715 billion barrels on January 23, the report highlighted. Total petroleum stocks were down 6.3 million barrels week on week and up 107.7 million barrels year on year, the report pointed out. “At 423.8 million barrels, U.S. crude oil inventories are about three percent below the five year average for this time of year,” the EIA said in its latest weekly petroleum status report. “Total motor gasoline inventories increased by 0.2 million barrels from last week and are about five percent above the five year average for this time of year. Finished gasoline inventories increased, while blending components inventories decreased last week,” it added. “Distillate fuel inventories increased by 0.3 million barrels last week and are about one percent above the five year average for this time of year. Propane/propylene inventories decreased 4.7 million

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Rystad Expects Lower Upstream M&A Activity in 2026

In a market update sent to Rigzone by the Rystad Energy team recently, Rystad noted that global upstream merger and acquisition (M&A) activity is expected to be lower in 2026 than in 2025. Rystad highlighted in the update that, according to its analysis, “nearly $152 billion worth of opportunities [are] on the market as of January this year”. The company added that “timing and execution will determine whether several mega deals will go through, with numerous high value assets still on the market waiting for the right buyers”. According to a chart included in the update, which showed annual upstream M&A activity by continent and deal count, global upstream M&A deal value came in at $170 billion in 2025, $204 billion in 2024, $255 billion in 2023, $152 billion in 2022, $184 billion in 2021, $103 billion in 2020, and $154 billion in 2019. This chart highlighted that it excluded “government mandated deals and production sharing contract awards/expiry”. Rystad noted in its update that global upstream M&A activity “dipped 17 percent year on year to approximately $170 billion in 2025, with deal count decreasing 12 percent to 466”. “Consolidation within North American shale plays, LNG investments across U.S. and Argentina, and majors’ spinning off assets in Asia and the UK to form new regional joint ventures emerged as key themes last year,” Rystad said. “A few key deals across these themes include SM Energy and Civitas’ merger, Cenovus Energy’s acquisition of MEG Energy, a Blackstone-led consortium’s acquisition of a 49.9 percent stake in the Port Arthur LNG phase 2 project from Sempra Infrastructure Partners (SIP), Eni and Petronas merging certain assets in Indonesia and Malaysia, and TotalEnergies merging its UK operations with NeoNext Energy to form NeoNext+,” it added. In the update, Rystad highlighted that North America led activity in

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OKEA Makes New Discovery in Brage

OKEA ASA and its partners have discovered more hydrocarbon deposits in the producing Brage field on Norway’s side of the North Sea. “Preliminary estimates indicate additional resources for Brage of between 0.5 and 1.5 million standard cubic meters (Sm3) of recoverable oil equivalent (o.e.) if the discovery is oil”, the Norwegian Offshore Directorate (NOD) reported Wednesday. “If it is gas, the preliminary volume estimate is between 0.4 and 0.9 million Sm3 of o.e.” The discovery was made in development well 31/4-A-15 D, which targeted the Knockando Fensfjord prospect, the upstream regulator said. The well was drilled from the Brage installation, it said. “The licensees are now considering opportunities for developing ‘Knockando Fensfjord’”, the NOD added. “Development well 31/4-A-15 D was drilled into the reservoir section in the lower Fensfjord Formation of Late Jurassic age on its way to the ‘Talisker’ production target in the Brent Group of Middle Jurassic age”, the NOD said. “A 38.5-meter [126.31 feet] column of hydrocarbons was proven in an interval of multiple sandstone layers with moderate to good reservoir quality. The petroleum/water contact was not encountered”. Drilling reached a measured depth of 10,009 meters (32,837.93 feet) and a vertical depth of 2,309 meters below sea level. It was terminated in the Oseberg Formation in the Middle Jurassic, according to the NOD. The well is part of production license 055, awarded 1979 and valid through 2040. OKEA is license operator with a 35.2 percent stake. Lime Petroleum AS owns 33.84 percent, DNO Norge AS 14.26 percent, Petrolia NOCO AS 12.26 percent and M Vest Energy AS 4.44 percent. Brage, which sits in the northern part of the North Sea 10 kilometers (6.21 miles) east of the Oseberg field, started producing 1993 with an integrated production, drilling and accommodation facility, according to field information on government website Norskpetroleum.no. It produced 0.81

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ORLEN Signs Up for More Renewable Hydrogen from Finland

ORLEN SA has signed agreements with ABO Energy Suomi, Nordic Ren-Gas and VolagHy Kuopio SPV for the supply of renewable hydrogen to Poland. “The Finnish companies with which ORLEN has signed the agreements are implementing key projects in the area of production of renewable hydrogen and its derivatives: ABO Energy Suomi is developing installations with a total capacity of up to 100,000 tonnes of hydrogen per year, Nordic Ren-Gas is constructing integrated facilities producing e-methane using renewable hydrogen and biogenic CO2 and VolagHy Kuopio SPV is developing a synthetic fuel production project with a capacity of approximately 50,000 tonnes per year, with plans for further expansion across the Nordic region”, said a joint statement online. The companies did not disclose agreed volumes or contract durations. The statement disclosed that ORLEN had already signed an agreement last year with Finland’s leading producer of green hydrogen, P2X Solutions Oy. P2X Solutions “operates Finland’s first industrial-scale facility for the production of renewable hydrogen and e-methane in Harjavalta and is pursuing further investments aimed at achieving one GW [gigawatts] of installed production capacity within the next decade”, the statement said. “The agreements also provide for cooperation on developing a model for future supplies of hydrogen and its derivatives to Poland”, the companies added. “The partners will also work together to define the logistical conditions enabling the transport of hydrogen and its derivatives from Finland to the ORLEN Group’s refining and chemical facilities in Poland”. Marcin Wasilewski, a member of ORLEN’s Management Board for Transition, said, “The agreements we have signed represent to us a key building block in the development of a European hydrogen ecosystem. They enable us to tap into the expertise, experience and capabilities of the Finnish companies, ensuring access to competitively priced hydrogen that can be safely stored in Poland and supplied across Central Europe”. ORLEN, which has seven active

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Denmark, Germany Ink Agreement on Bornholm Energy Island

The governments of Germany and Denmark said they have paved a new regulatory ground with the signing of an agreement for a cross-border project that will connect several wind farms via a single hub on the Danish island of Bornholm in the Baltic Sea. The project, called the Bornholm Energy Island, is designed to deliver three gigawatts of electricity onshore to be distributed to around three million homes and businesses in Denmark and Germany. The project is owned by Danish state-owned power and gas transmission systems operator Energinet and German electricity transmission system operator 50Hertz. “Denmark and Germany have agreed on sharing the costs to finance the support need for the offshore wind”, said a joint statement by the countries’ energy ministries. “The project entails the first example of two countries sharing the support needed for an offshore wind farm and proves a landmark in the development of European cross-border offshore cooperation”, the statement added. Energinet said separately “the agreement provides greater clarity on the political and economic framework for planning and coordination across the border”. 50Hertz said in its own statement the government agreement is the project’s “decisive building block”. 50 Hertz chief executive Stefan Kapferer highlighted, “The agreement between Germany and Denmark has an impact on the offshore industry across Europe, extending far beyond the Baltic Sea project Bornholm Energy Island. It is furthermore a strong European signal in geopolitically difficult times”. A statement from the European Commission, which last year signed a grant agreement worth EUR 645.2 million ($770.68 million) for the Bornholm Energy Island, said the agreement between Berlin and Copenhagen “marks a first key delivery of the Energy Highways initiative set out as part of the European Grids Package published in December 2025”. The project “will transform offshore wind energy from a national resource into a shared European resource

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Oil Prices ‘Remain Elevated and Volatile’

In a market comment sent to Rigzone on Thursday, Mazen Salhab, Head of Market Research at MH Markets, highlighted that oil prices “remain elevated and volatile … as the market prices supply risk and demand uncertainty at the same time”. “Geopolitical tension around Iran continues to underpin prices by lifting the risk premium, even without actual disruptions, while producer discipline and recent weather related outages are limiting downside,” Salhab said in the comment. “At the same time, economic data points to slowing but resilient demand, keeping oil supported as both a growth-sensitive asset and a hedge,” he added. Looking at the near term in his comment, Salhab said labor market data “is the key trigger”. “Weaker jobs data would support oil via a softer dollar but raise demand concerns, while stronger data may pressure prices initially yet reinforce demand expectations,” he warned. “Until either geopolitics or macro data clearly dominates, oil is likely to remain range-bound but firm, with sharp reactions to headlines and data surprises,” Salhab projected. In a report sent to Rigzone by the Standard Chartered team on Wednesday, Standard Chartered Bank Energy Research Head Emily Ashford noted that a U.S. winter storm “disrupted crude oil output and refining operations, prompting localized supply tightness”. “The NYMEX heating oil-WTI spread has stabilized between $36-38 per barrel over the week, while the ICE gasoil-Brent spread pushed above $25 per barrel on 21 January and is currently trading around $23 per barrel,” Ashford added. “We expect these cracks to remain sensitive to refining throughput-recovery timelines,” Ashford continued. The Standard Chartered report projected that the ICE Brent nearby future crude oil price will average $63.50 per barrel in 2026 and $67.00 per barrel in 2027. This commodity averaged $68.50 per barrel in 2025, the report showed. A quarterly breakdown included in the Standard Chartered

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China clears Nvidia H200 sales to tech giants, reshaping AI data center plans

China is also accelerating efforts to strengthen domestic training chip design and manufacturing capabilities, with the strategic objective of reducing long-term dependence on foreign suppliers, Zeng added. Things could get more complex if authorities mandated imported chips to be deployed alongside domestically produced accelerators. Reuters has reported that this may be a possibility. “A mandated bundling requirement would create a heterogeneous computing environment that significantly increases system complexity,” Zeng said. “Performance inconsistencies and communication protocol disparities across different chip architectures would elevate O&M [operations and maintenance] overhead and introduce additional network latency.” However, the approvals are unlikely to close the gap with US hyperscalers, Zeng said, noting that the H200 remains one generation behind Nvidia’s Blackwell architecture and that approved volumes fall well short of China’s overall demand. Implications for global enterprises For global enterprise IT and network leaders, the move adds another variable to long-term AI infrastructure planning. Expanded sales of Nvidia’s H200 chips could help the company increase production scale, potentially creating room to ease pricing for Western enterprises deploying H200-based AI infrastructure, said Neil Shah, VP for research at Counterpoint Research.

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Nuclear safety rules quietly rewritten to favor AI

‘Referee now plays for the home team’ Kimball pointed out that while an SMR works on the same principle as a large-scale nuclear plant, using controlled fission to generate heat which is then converted to electricity, its design reduces environmental impacts such as groundwater contamination, water use, and the impact in the event of failure. For example, he said, the integral reactor design in an SMR, with all components in a single vessel, eliminates external piping. This means that accidents would be self-contained, reducing the environmental impact. In addition, he said, SMRs can be air-cooled, which greatly reduces the amount of water required. “These are just a couple of examples of how an SMR differs from the large industrial nuclear power plants we think of when we think of nuclear power.”  Because of differences like this, said Kimball, “I can see where rules generated/strengthened in the post-Three Mile Island era might need to be revisited for this new nuclear era. But it is really difficult to speak to how ‘loose’ these rules have become, and whether distinctions between SMRs and large-scale nuclear plants comprise the majority of the changes reported.” Finally, he said, “I don’t think I need to spend too many words on articulating the value of nuclear to the hyperscale or AI data center. The era of the gigawatt datacenter is upon us, and the traditional means of generating power can’t support this insatiable demand. But we have to ensure we deploy power infrastructure, such as SMRs, in a responsible, ethical, and safe manner.”  Further to that, Gogia pointed out that for CIOs and infrastructure architects, the risks extend well beyond potential radiation leaks. “What matters more immediately is that system anomalies — mechanical, thermal, software-related — may not be documented, investigated, or escalated with the diligence one would expect from

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Mplify launches AI-focused Carrier Ethernet certifications

“We didn’t want to just put a different sticker on it,” Vachon said. “We wanted to give the opportunity for operators to recertify their infrastructure so at least you’ve now got this very competitive infrastructure.” Testing occurs on live production networks. The automated testing platform can be completed in days once technical preparation is finished. Organizations pay once per certification with predictable annual maintenance fees required to keep certifications active. Optional retesting can refresh certification test records. Carrier Ethernet for AI The Carrier Ethernet for AI certification takes the business certification baseline and adds a performance layer specifically designed for AI workloads. Rather than creating a separate track, the AI certification requires providers to first complete the Carrier Ethernet for Business validation, then demonstrate they can meet additional stringent requirements. “What we identified was that there was another tier that we could produce a standard around for AI,” Vachon explained. “With extensive technical discussions with our membership, our CTO, and our director of certification, they identified the critical performance and functionality parameters.” The additional validation focuses on three key performance parameters: frame delay, inter-frame delay variation, and frame loss ratio aligned with AI workload requirements. Testing uses MEF 91 test requirements with AI-specific traffic profiles and performance objectives that go beyond standard business service thresholds. The program targets three primary use cases: connecting subscriber premises running AI applications to AI edge sites, interconnecting AI edge sites to AI data centers, and AI data center to data center interconnections.

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Gauging the real impact of AI agents

That creates the primary network issue for AI agents, which is dealing with implicit and creeping data. There’s a singular important difference between an AI agent component and an ordinary software component. Software is explicit in its use of data. The programming includes data identification. AI is implicit in its data use; the model was trained on data, and there may well be some API linkage to databases that aren’t obvious to the user of the model. It’s also often true that when an agentic component is used, it’s determined that additional data resources are needed. Are all these resources in the same place? Probably not. The enterprises with the most experience with AI agents say it would be smart to expect some data center network upgrades to link agents to databases, and if the agents are distributed away from the data center, it may be necessary to improve the agent sites’ connection to the corporate VPN. As agents evolve into real-time applications, this requires they also be proximate to the real-time system they support (a factory or warehouse), so the data center, the users, and any real-time process pieces all pull at the source of hosting to optimize latency. Obviously, they can’t all be moved into one place, so the network has to make a broad and efficient set of connections. That efficiency demands QoS guarantees on latency as well as on availability. It’s in the area of availability, with a secondary focus on QoS attributes like latency, that the most agent-experienced enterprises see potential new service opportunities. Right now, these tend to exist within a fairly small circle—a plant, a campus, perhaps a city or town—but over time, key enterprises say that their new-service interest could span a metro area. They point out that the real-time edge applications

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Photonic chip vendor snags Gates investment

“Moore’s Law is slowing, but AI can’t afford to wait. Our breakthrough in photonics unlocks an entirely new dimension of scaling, by packing massive optical parallelism on a single chip,” said Patrick Bowen, CEO of Neurophos. “This physics-level shift means both efficiency and raw speed improve as we scale up, breaking free from the power walls that constrain traditional GPUs.” The new funding includes investments from Microsoft’s investment fund M12 that will help speed up delivery of Neurophos’ first integrated photonic compute system, including datacenter-ready OPU modules. Neurophos is not the only company exploring this field. Last April, Lightmatter announced the launch of photonic chips to tackle data center bottlenecks, And in 2024, IBM said its researchers were exploring optical chips and developing a prototype in this area.

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Intel wrestling with CPU supply shortage

“We have important customers in the data center side. We have important OEM customers on both data center and client and that needs to be our priority to get the limited supply we have to those customers,” he added. CEO Lip-Bu Tan added that the continuing proliferation and diversification of AI workloads is placing significant capacity constraints on traditional and new hardware infrastructure, reinforcing the growing and essential role CPUs play in the AI era. Because of this, Intel decided to simplify its server road map, focusing resources on the 16-channel Diamond Rapids product and accelerate the introduction of Coral Rapids. Intel had removed multithreading from diamond Rapids, presumably to get rid of the performance bottlenecks. With each core running two threads, they often competed for resources. That’s why, for example, Ampere does not use threading but instead applies many more cores per CPU. With Coral Rapids, Intel is not only reintroducing multi-threading back into our data center road map but working closely with Nvidia to build a custom Xeon fully integrated with their NVLink technology to Build the tighter connection between Intel Xeon processors and Nvidia GPUs. Another aspect impacting supply has been yields or the new 18A process node. Tan said he was disappointed that the company could not fully meet the demand of the markets, and that while yields are in line with internal plans, “they’re still below where I want them to be,” Tan said.  Tan said yields for 18A are improving month-over-month and Intel is targeting a 7% to 8% improvement each month.

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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