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Spacelift Survey: 93% of Organizations Have Experienced AI-Caused Infrastructure Incidents as ‘Vibe Coding’ Spreads to Infrastructure

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Second annual State of Infrastructure Automation report finds only 19% of organizations have built the governance foundations needed for AI readiness, even as 89% plan to adopt agentic AI for infrastructure

REDWOOD CITY, Calif., June 24, 2026 /PRNewswire/ — Spacelift, the company behind the infrastructure orchestration platform built for the AI-accelerated software era, today released the findings of its 2026 State of Infrastructure Automation report. The second annual survey of 406 IT decision-makers and platform engineering leaders reveals that AI-accelerated development is outpacing infrastructure teams’ ability to govern it, creating a widening “AI-infrastructure gap” that is already producing security misconfigurations, compliance violations and unplanned incidents at scale.

The research, conducted by Panterra Group among North American infrastructure decision-makers, introduces the AI Maturity Index (AIMI), which segments organizations into four categories based on their AI readiness:

Pioneer (19%)Outpacing (25%)Fragmented (32%)Exposed (24%)

The index evaluates behavior across five dimensions:

AI integration depthGovernance maturityInfrastructure automation maturityRisk exposurePlatform readiness

This year’s report finds that most organizations don’t yet have the AI governance frameworks required for today’s AI-driven infrastructure workflows.

“The findings are unambiguous: organizations are using AI to generate infrastructure code at a rate their governance frameworks were never designed to handle,” said Paweł Hytry, co-founder and CEO of Spacelift. “Last year we identified a gap between perceived automation maturity and actual execution. This year, the gap has moved to governance. Teams are confident they’re governing AI well, but the incident data tells a very different story.”

According to Hytry, the governance gap is compounded by a measurement gap: Most organizations are only tracking pre-AI metrics (team productivity, deployment frequency, security incidents, etc.) while few are also collecting the AI-specific signals that would reveal whether governance is actually working. “Only 15% track the volume of AI-generated IaC moving through their pipelines, and just 20% track error rates of AI-generated changes. If organizations are not measuring AI-specific outputs, they are operating in the dark,” added Hytry.

The full report includes five recommendations for closing this gap, from prioritizing IaC coverage to building agentic governance frameworks before the first autonomous workflow goes live.

Key Findings

The AI-Infrastructure Gap Is Already Measurable

Sixty-seven percent (67%) of respondents say development is ahead of infrastructure in AI adoption, and 86% say AI has increased demands on infrastructure teams. The downstream effects are compounding: 40% report security vulnerabilities appearing faster, 40% say governance is getting harder, 37% cite higher change volume, 35% report increased pipeline strain, and 35% see growing infrastructure drift.

A Governance Paradox Is Masking Systemic Risk

86% of infrastructure leaders say they are confident in their organization’s ability to govern AI, but only 30% have a formal AI governance policy in place. Among Exposed organizations, the disparity is stark: 70% express confidence in their governance capabilities, yet just 4% have a formal policy. By contrast, 71% of Pioneer organizations actively enforce a formal governance policy, and 24% report having no outstanding AI governance concerns because their controls make the risks manageable.

Vibe Coding Has Penetrated Infrastructure and Policy Layers

The use of AI to generate code without thorough review is nearly identical across developer code (79%), infrastructure as code/HCL (78%), and policy as code (78%). One-third (33%) of infrastructure teams say they would apply AI-generated HCL directly to production without any review, and an additional 43% would do so with only minimal review. Pioneer organizations vibe-code IaC at a higher rate than Exposed ones (86% versus 69%), but they do it inside governed pipelines with automated validation and policy enforcement.

“Last year, organizations overestimated their automation maturity. This year, they’re overestimating their governance readiness,” said John Garrett, managing director at Panterra Research. “The organizations that stand out are not the ones using AI the most aggressively. They are the ones that built governance frameworks before AI dramatically increased the speed and complexity of infrastructure demands on platform teams. That’s the pattern every infrastructure leader should be studying.”

Webinar

On July 16, Spacelift will host a webinar to explore the survey findings and their implications. Guest participant Faisal Afzal, CNCF and Platform Engineering ambassador and Principal at AHEAD, will speak on platform engineering’s role in closing the compliance gap. Register through this link

“Platform engineering teams are the ones best equipped to bring compliance and safety to infrastructure that AI now generates on its own,” said Afzal. “The survey shows organizations plunging into agentic AI well ahead of establishing the governance to handle it. The most confident teams often have the least in place. Platform engineering closes that gap before it shows up in production.”

Methodology

The 2026 State of Infrastructure Automation report is based on a survey conducted by Panterra Group in April 2026 among 406 IT decision-makers and platform engineering leaders with responsibility for infrastructure decisions. All respondents were based in North America and employed at organizations with 250 or more employees. Respondents were screened for their knowledge of infrastructure as code and their attentiveness to survey questions. The full report, including the AI Maturity Index self-assessment, is available at spacelift.io/infrastructure-automation-survey-2026.

About Spacelift

Spacelift is the infrastructure orchestration platform that manages your entire IaC lifecycle, from provisioning and configuration to governance. It integrates with Terraform, OpenTofu, CloudFormation, Pulumi, and Ansible in a single governed workflow so you deliver secure, compliant infrastructure at scale. Developer self-service, Golden Paths with guardrails, an OPA policy engine, and drift detection accelerate developer velocity while maintaining control. Spacelift Intelligence adds AI-powered provisioning and diagnostics across traditional and AI-driven workflows. See how Duolingo, Figma, Moody’s, Checkout.com, 1Password, Redfin, and others trust Spacelift to manage their infrastructure at spacelift.io/customers. Learn more about the Spacelift platform and how it can help you overcome your infrastructure challenges at Spacelift.io. Sign up for a demo, or test the platform yourself with a free trial.

Media Contact:
Cristin Connelly
Cathey Communications for Spacelift
cristin@cathey.co

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DeFi Technologies Inc. Announces Extension of Proxy Voting Deadline for Upcoming Annual General and Special Meeting

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Shareholders now have until June 28, 2026 at 5:00 PM ET to submit votes

TORONTO, June 25, 2026 /PRNewswire/ – DeFi Technologies Inc. (the “Company” or “DeFi Technologies”) (NASDAQ: DEFT) (CBOE CA: DEFI) (GR: R9B), a financial technology company bridging the gap between traditional capital markets and decentralized finance, announced today that it has extended the deadline for the submission of proxies related to its upcoming annual general and special meeting of shareholders (the “Meeting”) to June 28, 2026 at 5:00 PM ET. The Meeting will be held virtually on June 29, 2026 at 10:00 AM ET at https://meetings.lumiconnect.com/400-468-404-350.

The deadline is being extended to allow holders (“Shareholders”) of DeFi Technologies common shares (the “Shares”) more time to vote and to ensure a quorum is present at the Meeting. Shareholders should refer to the Company’s Management Information Circular dated May 20, 2026 for detailed instructions on how to vote as registered or beneficial holder of Shares.

About DeFi Technologies

DeFi Technologies Inc. (Nasdaq: DEFT) (CBOE CA: DEFI) (GR: R9B) (Brazil B3: DEFT31) is a financial technology company building for the convergence of traditional capital markets and decentralized finance (“DeFi“). As a publicly listed and vertically integrated digital asset platform, DeFi Technologies provides familiar, simple, secure, and regulated access to the digital asset economy through investment products, trading and liquidity infrastructure, research, and strategic capital deployment. Its business includes Valour, a leading issuer of regulated digital asset ETPs; Stillman Digital, an institutional-grade digital asset trading and liquidity platform; and DeFi Alpha, the Company’s internal business line focused on opportunistic trading, arbitrage, and other capital markets strategies. With deep expertise across capital markets and emerging technologies, DeFi Technologies is building the gateway between traditional finance and the future of digital assets.

Follow DeFi Technologies on LinkedIn and X/Twitter, and for more details, visit https://defi.tech/.

DeFi Technologies Subsidiaries

About Valour

Valour Inc. and Valour Digital Securities Limited (together, “Valour”) issues exchange traded products (“ETPs”) that enable retail and institutional investors to access digital assets in a simple and secure way via their traditional bank account. Valour is part of the asset management business line of DeFi Technologies. For more information about Valour, to subscribe, or to receive updates, visit valour.com.

About Stillman Digital

Stillman Digital is a leading digital asset liquidity provider that offers limitless liquidity solutions for businesses, focusing on industry-leading trade execution, settlement, and technology. For more information, please visit https://www.stillmandigital.com.

Cautionary note regarding forward-looking information:

This press release contains “forward-looking information” within the meaning of applicable Canadian securities legislation. Forward-looking information includes, but is not limited to; investor interest and confidence in digital assets; the regulatory environment with respect to the growth and adoption of decentralized finance; the pursuit by the Company and its subsidiaries of business opportunities; and the merits or potential returns of any such opportunities. Forward-looking information is subject to known and unknown risks, uncertainties and other factors that may cause the actual results, level of activity, performance or achievements of the Company, as the case may be, to be materially different from those expressed or implied by such forward-looking information. Such risks, uncertainties and other factors include, but is not limited to growth and development of DeFi and digital asset sector; rules and regulations with respect to DeFi and digital asset; fluctuation in digital asset price levels; general business, economic, competitive, political and social uncertainties. Although the Company has attempted to identify important factors that could cause actual results to differ materially from those contained in forward-looking information, there may be other factors that cause results not to be as anticipated, estimated or intended. There can be no assurance that such information will prove to be accurate, as actual results and future events could differ materially from those anticipated in such statements. Accordingly, readers should not place undue reliance on forward-looking information. The Company does not undertake to update any forward-looking information, except in accordance with applicable securities laws.

THE CBOE CANADA EXCHANGE DOES NOT ACCEPT RESPONSIBILITY FOR THE ADEQUACY OR ACCURACY OF THIS RELEASE

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SOURCE DeFi Technologies Inc.

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Patronus AI Raises $50 Million Series B and Unveils First Digital World Models for AI Agent Training and Simulation

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New funding will accelerate development of Digital World Models and large-scale simulation environments for long-horizon AI agents

SAN FRANCISCO, June 25, 2026 /PRNewswire/ — Patronus AI today announced a $50 million Series B led by Greenfield Partners and unveiled its Digital World Models, a new class of large-scale simulation environments designed to help AI systems train, evaluate, and improve across complex digital workflows. The round included participation from existing investors Notable Capital, Lightspeed Venture Partners, Datadog, Samsung, Factorial Capital, Gokul Rajaram, and leading AI and software executives.

Since launching less than three years ago, Patronus AI has become a leader in AI evaluation, simulation infrastructure, and reliability testing for frontier AI systems. Today, Patronus AI works with the majority of the world’s leading frontier AI labs and hyperscalers. The company’s revenue has grown more than 15x over the past year, reflecting growing demand for infrastructure that helps organizations train, evaluate, and deploy increasingly autonomous AI systems. The new funding brings Patronus AI’s total capital raised to $70 million.

Patronus AI was founded by AI researchers and engineers with backgrounds at organizations including Meta AI, Amazon AGI, and Google. The team’s experience spans LLM evaluation, AI alignment, fairness, and embodied agents, providing the technical foundation for the company’s work in simulation and evaluation infrastructure.

From Static Benchmarks to Simulated Digital Worlds

The first phase of generative AI was built on static internet text and benchmark leaderboards. But as agents move into longer, more complex workflows, the limitations of that approach are becoming increasingly clear.

An agent managing a customer escalation, navigating enterprise software, conducting research across thousands of documents, or debugging production infrastructure cannot be trained through benchmark memorization alone. These systems need dynamic environments that resemble the digital world they will actually operate inside.

Patronus AI is building what it describes as Digital World Models — language diffusion world models that are designed to scale the creation of simulation data to train and evaluate AI agent actions across complex digital workflows.

The company builds simulation infrastructure that allows AI systems to train on realistic software, research, communication, and enterprise workflows. Instead of optimizing for narrow benchmark performance, the goal is to produce agents that can operate reliably across ambiguous, long-horizon tasks.

“Benchmarks were never the destination,” said Anand Kannappan, CEO and co-founder of Patronus AI. “Static evaluations tell you whether a model can answer a narrow question in a controlled setting. They do not tell you whether an agent can navigate ambiguity, recover from failure, or operate reliably across long, unpredictable workflows. That requires environments where systems can practice, adapt, and accumulate experience over time.”

Introducing World’s First Digital World Models

Patronus AI believes simulations will become one of the defining infrastructure layers of the AI era.

The company’s research focuses on generating ecologically valid environments where agents can encounter edge cases, recover from failures, and improve through repeated interaction. This includes simulation tooling, evaluation systems, and diffusion-based Digital World Models that can generate increasingly sophisticated training environments over time.

The approach is designed to address one of the largest unsolved problems in AI: scalable oversight.

As AI systems become more capable, manual review becomes increasingly insufficient. Patronus AI’s long-term vision is to build systems capable of supervising, evaluating, and governing increasingly autonomous agents at scale.

“Manual review does not scale once AI systems begin operating across millions of workflows and decisions,” said Kannappan. “That is why simulations matter. They create environments where AI systems can be tested, improved, and supervised before failures happen in production.”

New Funding Fuels Research and Expansion

With the new funding, Patronus AI plans to expand its research organization, grow its engineering team, and invest in the compute and infrastructure required to train and run Digital World Models at scale.

“Patronus AI is tackling one of the most important infrastructure problems in artificial intelligence,” said Itay Inbar, Partner at Greenfield Partners. “The future of AI will depend on systems that can learn and operate reliably in complex environments, and simulations are becoming essential to making that possible.”

About Patronus AI

Patronus AI is a simulation and evaluation infrastructure company building Digital World Models to accelerate the next generation of AI agents. Founded by former Meta AI researchers Anand Kannappan and Rebecca Qian, the company develops large-scale simulation environments, evaluation systems, and reliability infrastructure that help AI research and engineering teams to build and deploy trustworthy AI systems.

For more information, visit https://www.patronus.ai 

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SOURCE Patronus AI

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Bitwise Announces Monthly Distributions for IMST, ICOI, IMRA, IGME, ICRC, and IETH

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SAN FRANCISCO, June 25, 2026 /PRNewswire/ — Bitwise Asset Management, a leading crypto asset manager, today announced the monthly distributions for its suite of Option Income Strategy ETFs: IMST, ICOI, IMRA, IGME, ICRC, and IETH.

Fund

Ticker

Distribution
Per Share

Distribution
Rate

30-Day SEC
Yield

Return of
Capital

Ex-Date /
Record Date

Payment
Date

1-Month
Return

1-Year
Return

Since 
Inception
Return*

Bitwise
COIN
Option
Income
Strategy
ETF

ICOI

$0.16768

20.00 %

0.00 %

100.00 %

6/26/2026

6/30/2026

-11.80 %

-51.38 %

-29.37 %

Bitwise
MARA
Option
Income
Strategy 
ETF

IMRA

$0.11956

8.44 %

0.00 %

100.00 %

6/26/2026

6/30/2026

-3.92 %

-34.66 %

-19.84 %

Bitwise
MSTR
Option
Income
Strategy 
ETF

IMST

$0.06972

11.45 %

0.00 %

100.00 %

6/26/2026

6/30/2026

-32.43 %

-69.28 %

-56.55 %

Bitwise
GME
Option
Income
Strategy
ETF

IGME

$0.38657

20.48 %

0.00 %

100.00 %

6/26/2026

6/30/2026

0.22 %

3.31 %

-14.45 %

Bitwise
CRCL
Option
Income
Strategy
ETF

ICRC

$0.36850

22.36 %

0.00 %

100.00 %

6/26/2026

6/30/2026

-24.97 %

-44.13 %

Bitwise
Ethereum
Option
Income
Strategy
ETF

IETH

$0.09702

7.44 %

0.00 %

100.00 %

6/26/2026

6/30/2026

-23.75 %

-58.34 %

* Returns for periods of greater than one year are annualized.

The Distribution Rate shown is as of 4 p.m. ET on June 25, 2026. The Distribution Rate is the annual rate an investor would receive if the most recently declared distribution, which includes option income, remained the same going forward. The Distribution Rate is calculated by multiplying an ETF’s Distribution per Share by twelve (12), and dividing the resulting amount by the ETF’s most recent NAV. The Distribution Rate represents a single distribution from the ETF and does not represent its total return. The distribution may include a combination of ordinary dividends, capital gain, and return of investor capital, which may decrease a fund’s NAV and trading price over time. As a result, an investor may suffer significant losses to their investment. The Return of Capital percentage is the estimated portion of the distribution that represents an investor’s original investment. Future distributions may differ significantly and are not guaranteed. The 30-day SEC yield reflects the dividends and interest earned during the previous month, after deducting the fund’s expenses. This is also referred to as the “standardized yield” and provides an annualized estimate of what an investor would earn in yield over a 12-month period, assuming the fund continues to earn at the same rate.
Performance data quoted represents past performance and is no guarantee of future results. Short-term performance, in particular, is not a good indication of the fund’s future performance, and an investment should not be made based solely on returns. Investment return and principal value of an investment will fluctuate so that an investor’s shares, when redeemed, may be worth more or less than the original cost. Current performance may be lower or higher than the original cost. For the most recent month-end performance, please call 1-415-707-3663.

The net expense ratio for each Option Income Fund is 0.98%, with the exception of IETH, which has a net expense ratio of 0.97%. (The gross expense ratio for ICOI and IMST is 0.99%, with a fee waiver in place through April 2, 2027.)

Risks and Important Information

Carefully consider the investment objectives, risk factors, charges, and expenses of the Bitwise COIN Option Income Strategy ETF (ICOI), Bitwise CRCL Option Income Strategy ETF (ICRC), Bitwise Ethereum Option Income Strategy ETF (IETH), Bitwise GME Option Income Strategy ETF (IGME), Bitwise MARA Option Income Strategy ETF (IMRA), and Bitwise MSTR Option Income Strategy ETF (IMST) (each a “Fund” and together the “Funds”) before investing. This and additional information can be found in each Fund’s full or summary prospectus, which may be obtained by visiting: for ICOI, icoietf.com; for ICRC, icrcetf.com; for IETH, iethetf.com; for IGME, igmeetf.com; for IMRA, imraetf.com; for IMST, imstetf.com. Investors should read it carefully before investing.

An investment in a Fund is not an investment in the underlying security. The Funds do not directly invest directly in shares of COIN, CRCL, GME, MARA, MSTR, or Ether ETPs. Fund shareholders are not entitled to any dividends from the underlying security.

A Fund’s strategy is subject to all potential losses if shares of the underlying security decrease in value, which may not be offset by income received by the Fund.

Covered Call Strategy Risk. A covered call strategy involves writing (selling) covered call options in return for the receipt of premiums. The seller of the option gives up the opportunity to benefit from price increases in the underlying instrument above the exercise price of the options but continues to bear the risk of underlying instrument price declines. The premiums received from the options may not be sufficient to offset any losses sustained from underlying instrument price declines over time.

The covered call strategy utilized by the Funds is “synthetic” because the Funds’ exposure to the price return of the underlying security is derived through options exposure, rather than direct holdings of the shares of the underlying security. Because such exposure is synthetic, it is possible that the Fund’s participation in the price return of the underlying security may not be as precise as if the Fund were directly holding shares of the underlying security.

Issuer-Specific Risks. Issuer-specific attributes may cause an investment held by the Fund to be more volatile than the market generally. The value of an individual security or particular type of security may be more volatile than the market as a whole and may perform differently from the value of the market as a whole.

Equity Securities Risk. Equity securities are subject to changes in value, and their values may be more volatile than those of other asset classes.

Digital Assets Risk. Circle, Coinbase, GameStop Corp, MARA Holdings, and Strategy (each a “Company” and together the “Companies”) may have substantial holdings of bitcoin and other digital assets. Accordingly, it is subject to the risks associated with such holdings. Bitcoin is a relatively new innovation and the market for bitcoin is subject to rapid price swings, changes and uncertainty. Bitcoin is subject to the risk of fraud, theft, manipulation or security failures, operational or other problems that impact the digital asset trading venues on which bitcoin trades. The realization of any of these risks could result in a decline in the acceptance of bitcoin and consequently a reduction in the value of bitcoin and shares of the Companies.

Custody Risk. Security breaches, computer malware and computer hacking attacks have been a prevalent concern in relation to digital assets. The bitcoin held by the Companies will likely be an appealing target to hackers or malware distributors seeking to destroy, damage or steal bitcoins. To the extent that any Company is unable to identify and mitigate or stop new security threats or otherwise adapt to technological changes in the digital asset industry, that Company’s bitcoins may be subject to theft, loss, destruction or other attack.

Digital Asset Regulatory Risk. There is a lack of consensus regarding the regulation of digital assets, including bitcoin, and their markets. Ongoing and future regulatory actions with respect to digital assets generally or bitcoin in particular may alter, perhaps to a materially adverse extent, the nature of an investment in the shares of the underlying security or the ability of the Companies to continue to operate.

Concentration Risk. The Fund is susceptible to an increased risk of loss, including losses due to adverse events that affect the Fund’s investments more than the market as a whole, to the extent that the Fund’s investments are concentrated in investments that provide exposure to the underlying securities and the industry to which they are assigned.

Derivatives Risk. The use of derivative instruments involves risks different from, or possibly greater than, the risks associated with investing directly in securities and other traditional investments. Derivative prices are highly volatile and may fluctuate substantially during a short period of time. Trading derivative instruments involves risks different from, or possibly greater than, the risks associated with investing directly in securities. The use of leverage may cause the Fund to liquidate portfolio positions when it would not be advantageous to do so in order to satisfy its obligations or to meet regulatory or contractual requirements for derivatives. The use of derivatives can magnify potential for gain or loss and, therefore, amplify the effects of market volatility on share price.

New Fund Risk. The Fund is a recently organized investment company with a limited operating history. As a result, prospective investors have a limited track record or history on which to base their investment decision.

Options Risk. The use of options involves investment strategies and risks different from those associated with ordinary portfolio securities transactions and depends on the ability of the Fund’s portfolio managers to forecast market movements correctly. The prices of options are volatile and are influenced by, among other things, actual and anticipated changes in the value of the underlying instrument, or in interest or currency exchange rates, including the anticipated volatility, which in turn are affected by fiscal and monetary policies and by national and international political and economic events.

Nondiversification Risk. The Funds are nondiversified and may hold a smaller number of portfolio securities than many other products. To the extent any Fund invests in a relatively small number of issuers, a decline in the market value of a particular security held by the Fund may affect its value more than if it invested in a larger number of issuers.

Bitwise Funds Trust ETFs are distributed by Foreside Fund Services, LLC, which is not affiliated with Bitwise or any of its affiliates.

Media Contact
Tova Kaufmann
pr@bitwiseinvestments.com 

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SOURCE Bitwise Asset Management

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