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FF EAI Robotics Ecosystem Inc. Announces Details for Its Listing Ceremony and Nasdaq Investor Day, Taking Place on Monday, Oct. 26, at Nasdaq’s MarketSite in NYC

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FF EAI Robotics Ecosystem Inc. (NASDAQ: FFR) will hold its official listing ceremony to mark the Company’s name and ticker change, and first Investor Day at the Nasdaq Tower on Monday, Oct. 26.  Subject to completion of the transaction, FFR management will provide 2026 full year guidance, share details on FFR’s future strategy and business plan.A video recap of the event will be available at 4:30 p.m. ET on Oct. 26 at www.ff.com 

LOS ANGELES, Oct. 20, 2026 /PRNewswire/ — FF EAI Robotics Ecosystem Inc. (NASDAQ: FFR) (“FFR” or the “Company”), a U.S.-based Embodied AI (EAI) robotics company, today announced details for its Nasdaq listing ceremony and first Investor Day, to be held on Oct. 26 at the Nasdaq Tower in NYC. Subject to completion of the transaction, FFR management will provide 2026 full year guidance, share further details on FFR’s future strategy and business plans at this event and will be available to speak with attending investors onsite. A video recap of the event will be available beginning at 4:30 p.m. ET at www.ff.com.

FFR and FFAI recently signed definitive agreements for FFR to acquire FFAI’s robotics assets and business in an all-stock transaction at an approximate $200 million valuation. FFR will issue shares at $2.246 per share, representing an approximately 50% premium to FFR’s closing price on the date the agreements were signed. Upon closing, FFR will become the No. 1 U.S.-listed pure-play “Four-Core Full-Stack AI” humanoid and bionic EAI robotics ecosystem company.

Note: Event materials will be available on the FF IR website at https://investors.ff.com/events-and-presentations  

About FF EAI Robotics Ecosystem Inc. 

FF EAI Robotics Ecosystem Inc. (NASDAQ: FFR) (renamed from AIxCrypto Holdings, Inc. and AIXC, effective September 30, 2026) is a U.S.-based Embodied AI (EAI) robotics company that is in the process of acquiring the FF EAI Robotics business. Upon completion of the acquisition, the Company will focus on the research and development, manufacturing, commercialization, and deployment of intelligent robotic technologies, products, and industry solutions.  

The Company is committed to building a “Four-Core Full-Stack” AI ecosystem covering the full lifecycle of robotics, consisting of EAI Brain & Developer Platform, EAI Devices, Industry Productivity Solutions, and EAI Data Factory. Guided by the technology and product philosophy of “One Brain, Multi-forms, Multi-capabilities,” the Company aims to empower humanoid, biomimetic, and other robotic form factors through a unified EAI Brain, while continuously expanding their multi-task and multi-scenario capabilities. The ecosystem is designed to support the full robotics lifecycle, including R&D, deployment, data collection and training, operations, and commercial applications.  

The FF EAI Robotics business has already achieved commercial deliveries of humanoid and biomimetic robotic products. Through its multi-form-factor robotic products, EAI technology platform, closed-loop data capabilities, and industry solutions, the business continues to advance the scaled adoption of robotics across real-world applications. The Company also operates RoboShare, a robot-sharing and services platform designed to connect robotic assets, service capabilities, customer demand, and ecosystem partners, further strengthening its robotics commercialization and service ecosystem. 

For more information, visit www.ff.com. 

ABOUT FARADAY FUTURE

Founded in 2014, Faraday Future (FF) is a U.S.-based Physical AI ecosystem company dedicated to reshaping the future of robotics and mobility solutions through AI innovation and technologies. FF focuses on two major product strategies within the Embodied AI (EAI) robotics business: EAI humanoid and bionic robots, and EAI automotive-focused robots. By building a “Four-Core Full-Stack AI” ecosystem of EAI Brain and Developer Platform, EAI Devices, Industry Productivity Solutions and EAI Data Factory, FF aims to create an evolutionary flywheel: scaled device delivery, data collection and training, continuous evolution of the EAI Brain, stronger product capability, and even larger-scale delivery and deployment. Through this flywheel, FF seeks to maximize its commercial value and lead to the advancement of Physical AI. For more information, please visit Faraday Future’s official website: https://www.ff.com/ 

FFR Forward-Looking Statements 

This communication, including any presentation, press release, investor materials or other document of which it forms a part (this “Communication”), contains “forward-looking statements” within the meaning of the “safe harbor” provisions of the Private Securities Litigation Reform Act of 1995, as amended, and other securities laws, regarding FF EAI Robotics Ecosystem Inc. (“FFR,” the “Company,” “us,” “our,” or “we”) and our industry. All statements, whether written or oral, other than statements of historical fact, including any financial projections and any statements regarding future events, our strategy, our transition to robotics operations, our plans for RoboShare, our digital asset disposition plans, the proposed acquisition of the FF EAI Robotics business, the projections referenced in this communication, our name and ticker change, any related financing, and the anticipated benefits and timing of the foregoing, our objectives, expectations, or anticipated actions or results, are forward-looking statements. You can often identify forward-looking statements by words such as “may,” “might,” “will,” “shall,” “should,” “expects,” “plans,” “anticipates,” “could,” “intends,” “targets,” “projects,” “contemplates,” “believes,” “estimates,” “predicts,” “potential,” “goal,” “objective,” “seeks,” “likely,” or “continue,” or the negative of these terms or other similar expressions; the absence of these words does not mean a statement is not forward-looking. These statements reflect our current expectations and projections about future events as of the date of this Communication and are necessarily based on estimates and assumptions that, while considered reasonable by management, are inherently uncertain. FFR can give no assurance that such forward-looking statements or financial projections will prove to be correct. 

Actual results may differ materially from those expressed or implied by these forward-looking statements as a result of numerous risks and uncertainties, both general and specific, including, but not limited to: 

The proposed acquisition transaction and PIPE. The definitive agreements may be terminated in accordance with their terms, and the proposed transactions may not be completed on the terms described or at all; the conditions to closing, including the completion of FFAI’s internal restructuring of the robotics business, the execution of key employee agreements and other customary conditions, and the parties’ ability to satisfy them; the risk that the stockholder approval required under Nasdaq listing rules for the conversion of the preferred stock issued as consideration is not obtained or is delayed, and the effect of the conversion restrictions and the information statement process on the timing of conversion; the timing of the transaction and the costs of pursuing it; the issuance of a substantial number of shares as consideration and the resulting dilution to existing stockholders; the fact that the counterparty is our controlling stockholder, that it will hold a substantial majority of our outstanding shares following closing, that certain members of management serve both companies, and the conflicts of interest inherent in the transaction; the risk that the agreed valuations do not reflect the market value of our shares or of the acquired business; our dependence on the counterparty for transition, supply and support following any closing; the scope and enforceability of the non-competition and governance arrangements; the consequences of the transaction under Nasdaq listing rules, including the possibility that Nasdaq determines that the transaction requires us to satisfy initial listing requirements in connection with a business combination, change of control or change in the nature of our business; the risk that the PIPE financing, on which the transaction is not conditioned, is not completed on the anticipated terms or at all; the risk of litigation relating to the transaction; our ability to integrate and operate the acquired business; and the risk that the acquired business performs differently than anticipated. 

Projections. The projections referenced in this communication were prepared by FFAI management for the FF EAI Robotics business on a standalone basis and do not reflect our existing business, transaction-related expenses or the combined company. We have not independently verified them or adopted them as guidance. They were not prepared with a view toward public disclosure or toward compliance with the published guidelines of the Securities and Exchange Commission or the American Institute of Certified Public Accountants regarding prospective financial information, and no independent registered public accounting firm has examined, compiled or performed any procedures with respect to them, and none expresses an opinion or any other form of assurance with respect to them. The projections reflect estimates and assumptions that are inherently uncertain and subject to change, including through due diligence and the review of our special committee and its financial advisor. Actual results are likely to differ, and may differ materially. 

Liquidity, capital and going concern. Our limited cash and liquidity position and our history of operating losses and negative operating cash flow; substantial doubt regarding our ability to continue as a going concern, as described in our periodic reports; our need to obtain additional financing on acceptable terms or at all, and the substantial dilution to existing stockholders that additional financing may cause, including any financing completed in connection with the proposed transaction, which may not be completed or may be on less favorable terms than anticipated; our ability to fund operations pending and following the disposition of our digital asset positions; and our ability to satisfy the continued listing requirements of The Nasdaq Stock Market, including stockholders’ equity, minimum bid price and other applicable standards. 

Our strategic transition and the disposition of digital assets. Risks associated with a fundamental shift in our business strategy and the redeployment of resources from a digital asset treasury strategy to robotics operations; our ability to execute the disposition of our digital asset positions in an orderly manner and on acceptable terms; the risk that amounts realized on disposition are materially less than carrying value as a result of price volatility, market depth, execution timing, custody or transfer constraints, or other limitations; tax, accounting and regulatory consequences of the dispositions; the continued volatility and regulatory uncertainty associated with digital assets and cryptocurrencies during the wind-down period; the concentration of a substantial portion of our assets in a single equity investment, including an investment in a related party, and the illiquidity, valuation uncertainty, holding-period and transfer restrictions associated with that investment; and risks arising from our relationships and agreements with related parties and significant stockholders.  

Our robotics operations business. Our limited operating history in robotics operations and commercialization and the absence of a meaningful revenue history; the early stage of RoboShare and the risk that customer demand, repeat demand, pricing, utilization or unit economics do not develop as anticipated; our dependence on a small number of customers, on a single initial geographic market, and on individual events or engagements, and the risk that the loss of, or a change in the terms of, any such relationship has a disproportionate effect; our dependence on third-party robot owners, operators, suppliers, original equipment manufacturers and local partners, and on their willingness to make robots available on our platform; risks relating to the availability, cost, quality, maintenance, transport, insurance and technological obsolescence of robots and related equipment, and to supply chains, tariffs and trade measures affecting them; and our ability to expand into additional markets and to attract and retain participants on both sides of our marketplace. 

Operations, safety and liability. Risks of property damage, personal injury or death arising from the operation of humanoid robots, quadrupeds and other autonomous or semi-autonomous machines in proximity to performers, employees, guests and the public, including at live events and in uncontrolled environments; product liability, premises liability, negligence and related claims and the adequacy, scope, availability and cost of our insurance coverage and of contractual indemnities from customers, owners and suppliers; the allocation of responsibility among us, robot owners, venues, event producers and customers; permitting, licensing, occupational safety and event-specific regulatory requirements; and the reputational consequences of any safety incident. 

Technology, data and intellectual property. Systems, network, telecommunications or service disruptions, failures, defects or cyber-attacks; the performance, reliability and autonomy limitations of robotic systems and of the software, models and networks that support them; our collection, use, storage, transmission and protection of personal information, including images and any biometric or biometric-adjacent data captured in the course of robot deployments, and evolving privacy, biometric and artificial intelligence laws and regulations across the jurisdictions in which we operate or intend to operate; our ability to obtain, maintain, protect and enforce our intellectual property rights and to defend against third-party claims of infringement or misappropriation; and our reliance on third-party technology, platforms and licenses. 

Legal, regulatory and general. The regulated industries and jurisdictions in which we operate; current or future laws or regulations and new interpretations of existing laws or regulations, including those applicable to digital assets, robotics, autonomous systems, consumer protection, advertising and endorsements; the risk that our marketplace arrangements, or the manner in which they are described, are characterized differently than we intend by regulators or courts; the failure of counterparties to perform their contractual obligations; litigation, regulatory inquiries, investigations and enforcement actions, and their costs and outcomes; business, economic, market and capital-market conditions; competition in our industry; changes in market demand for, and the pricing of, our products and services; our ability to define, design and release new products and services in a timely manner that meet customer needs; our ability to attract, retain and motivate qualified personnel, including key management; our ability to manage our growth and our transition; and our ability to maintain effective internal control over financial reporting and disclosure controls and procedures. 

This list of factors is not exhaustive. Additional risks and uncertainties are described more fully in our filings with the U.S. Securities and Exchange Commission (the “SEC”), including our Annual Report on Form 10-K for the year ended December 31, 2025, our Quarterly Reports on Form 10-Q, and our subsequent filings, which are available on the SEC’s website at www.sec.gov. Investors are urged to review the liquidity, capital resources and going concern disclosures contained in those reports.  

The forward-looking statements in this Communication speak only as of the date hereof. Except as required by law, neither FFR nor any other person undertakes any obligation to update or revise any forward-looking statement or financial projection set out herein, whether as a result of new information, future events or otherwise. This Communication is provided for informational purposes only, does not constitute an offer to sell or the solicitation of an offer to buy any security, and does not constitute investment, tax or legal advice or any investment recommendation, and does not take into account the investment objectives or financial situation of any person. FFR reserves the right to amend or replace the information contained herein, in whole or in part, at any time, and undertakes no obligation to notify any recipient thereof. Readers are cautioned not to place undue reliance on these forward-looking statements. This caution is made under, and these forward-looking statements are intended to be covered by, the safe-harbor provisions of the Private Securities Litigation Reform Act of 1995.

FFAI FORWARD LOOKING STATEMENTS  

Important factors that may affect actual results or outcomes include, among others: the Company’s ability to continue as a going concern and improve its liquidity and financial position; the Company’s ability to pay its outstanding obligations, which it currently lacks; the availability of sufficient share capital to meet its current obligations and execute on its strategy; the willingness of convertible debt investors to fund the Company; demand for the Company’s robotics products; competition in the robotics industry, which includes companies with far superior experience, funding and name recognition; the ability of the Company to build an EAI education ecosystem that serves both the B2C consumer market and the B2B institutional education market; the acceptance by teachers and students of the Company’s robotics products in the education market; the ability of the Company to expand into additional markets for its robotics products; the Company’s reliance on a single OEM for most of its robotics products; the Company’s reliance on Chinese OEMs for all of its robotics products; the possibility of the federal government banning imports of Chinese robotics products; the Company’s ability to get the planned robotics products to comply with all applicable U.S. rules and regulations; the ability of the robotics OEM to timely supply robotics to the Company; tariff uncertainty for imported products, particularly from China; the ability of the Company to close its transaction with FF EAI Robotics Ecosystem Inc. (FFR) for the sale of its robotics business; demand from automobile dealers for robotics products; the Company’s ability to homologate FX vehicles for sale; the Company’s ability to secure the necessary funding to execute on the FX strategy, which is substantial; the Company’s ability to secure an occupancy certificate covering all of its Hanford facility; the Company’s ability to remediate its material weaknesses in internal control over financial reporting and the risks related to the restatement of previously issued consolidated financial statements; the Company’s limited operating history and the significant barriers to growth it faces; the Company’s history of substantial losses and expectation of continued losses; the success of the Company’s payroll expense reduction plan; the Company’s ability to execute on its plans to develop and market its vehicles and the timing of these development programs; the Company’s ability to execute on its plans to enter the robotaxi and cybercab industries; the Company’s estimates of the size of the markets for its vehicles and cost to bring those vehicles to market; the rate and degree of market acceptance of the Company’s vehicles; the Company’s ability to cover future warranty claims; the success of other competing manufacturers; the performance and security of the Company’s vehicles; current and potential litigation involving the Company; the Company’s ability to receive funds from, satisfy the conditions precedent of and close on the various financings described elsewhere by the Company; the result of future financing efforts, the failure of any of which could result in the Company seeking protection under the Bankruptcy Code; the Company’s indebtedness; the Company’s ability to use its “at-the-market” program; insurance coverage; general economic and market conditions impacting demand for the Company’s products; potential negative impacts of a reverse stock split; potential cost, headcount and salary reduction actions may not be sufficient or may not achieve their expected results; circumstances outside of the Company’s control, such as natural disasters, climate change, health epidemics and pandemics, terrorist attacks, and civil unrest; risks related to the Company’s operations in China; the success of the Company’s remedial measures taken in response to the Special Committee findings; the Company’s dependence on its suppliers and contract manufacturer; the Company’s ability to develop and protect its technologies; the Company’s ability to protect against cybersecurity risks; and the ability of the Company to attract and retain employees, any adverse developments in existing legal proceedings or the initiation of new legal proceedings; the volatility of the Company’s stock price; the ability of the Company to maintain its stock price above $1.00; and the ability of the Company to maintain compliance with Nasdaq regulations for continued listing. You should carefully consider the foregoing factors and the other risks and uncertainties described in the “Risk Factors” section of the Company’s Form 10-Q for the quarter ended June 30, 2026, filed with the SEC on August 13, 2026; the quarter ended March 31, 2026, filed with the SEC on May 14, 2026; and Form 10-K filed with the SEC on March 31, 2026, and other documents filed by the Company from time to time with the SEC.

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SOURCE FF EAI Robotics Ecosystem Inc.

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CollectivIQ Introduces GigaBrain, Giving Enterprises a Shared Brain That Gets Smarter as Employees Work

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New Enterprise Intelligence Layer Turns the Collective Learnings of AI Agents Into Secure, Usable Organizational Knowledge

BOSTON, Oct. 21, 2026 /PRNewswire/ — CollectivIQ, the collective intelligence platform built to give employees more honest AI insights and digital teammates that put its intelligence to work, today announced the availability of GigaBrain, a new shared intelligence layer that enables organizations to capture, connect, and use the knowledge accumulated by employees and their Digital Direct Reports (DDRs), which are specialized AI teammates that work for people much like human direct reports do. Every company has valuable knowledge that lives outside its formal systems, across various tools, residing in employees’ heads, embedded in conversations, and lodged in disparate company applications. GigaBrain is designed to make that collective intelligence available to the organization and its employees.

As employees work with their Digital Direct Reports, those AI teammates develop context about their work, including projects, processes, responsibilities, relationships, and preferences. With GigaBrain, those individual learnings can contribute to a shared enterprise memory, allowing knowledge developed in one part of an organization to make AI more useful across the business. The result is an enterprise AI environment that gets smarter through use. Rather than requiring employees to repeatedly find, upload or explain the same information, GigaBrain gives employees and their Digital Direct Reports access to relevant organizational context when they need it.

When a sales representative’s DDR learns the intricacies of a customer’s procurement process, including approval requirements, key decision-makers, and purchasing timelines, that knowledge can automatically become available to other team members, subject to appropriate access permissions. When the customer reaches out for help, the team will already have the context needed to navigate the relationship effectively, without asking the customer to repeat information or relying on a manual handoff.

“Companies are collectively spending billions to bring intelligence to their employees, but very little of that investment makes the company itself smarter,” said John Davie, CEO of CollectivIQ. “The breakthrough isn’t just giving every employee an AI teammate, it’s making sure what those employees and AI teammates learn becomes an advantage for the entire organization. GigaBrain turns everyday work into intelligence that compounds across the enterprise.”

While enterprise AI platforms such as Microsoft Copilot and Glean help employees access organizational information, GigaBrain is designed to capture knowledge that emerges through employees’ day-to-day interactions with their DDRs, including insights that may never be formally documented. GigaBrain creates an organizational knowledge layer that can connect what employees and their Digital Direct Reports learn through everyday work, giving AI access to relevant internal context alongside the broader knowledge available from large language models.

GigaBrain was built to provide a source of enterprise knowledge that Digital Direct Reports can draw upon as they work, including the ability to trace information back to its source, giving employees greater visibility into where organizational knowledge came from, and helping AI work from relevant company context. Employees do not need to manually document every useful insight for the system to become more valuable. As they collaborate with their Digital Direct Reports, relevant knowledge can become part of the enterprise intelligence available to other authorized AI teammates.

GigaBrain is also designed for the realities of enterprise information governance, as employees can use an incognito mode when working with information that should not contribute to shared organizational memory, giving users a way to keep sensitive or confidential interactions out of GigaBrain.

GigaBrain expands CollectivIQ’s vision for Digital Direct Reports beyond individual AI productivity, allowing the knowledge developed through that work to become part of a broader organizational intelligence layer. Together, they give companies a foundation for AI that does more than answer questions. CollectivIQ’s ecosystem can learn how an organization works, retain what it learns and make that knowledge useful across the enterprise.

GigaBrain is available through the CollectivIQ platform. For more information, visit www.collectiviq.ai.

About CollectivIQ

CollectivIQ is the collective intelligence platform built to give employees more accurate AI insights and teammates that put its intelligence to work. Founded by the leadership team behind Buyers Edge Platform, CollectivIQ was built to bring accountability, action, and economic alignment to enterprise AI adoption. Learn more at www.collectiviq.ai.

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SOURCE CollectivIQ

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Pactum Launches Intake Agent, Cutting Purchase Request Cycle Time by 90%

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New AI agent replaces complicated purchase forms and repeated follow-ups by completing and checking every request before it is submitted, inside Microsoft Teams, Coupa, and SAP Ariba.

MOUNTAIN VIEW, Calif., Oct. 21, 2026 /PRNewswire/ — Pactum, the most advanced agentic AI platform for enterprise autonomous procurement execution, today announced the launch of its Intake Agent, which lets employees describe what they need to buy in plain language. The agent turns each request into a complete, correctly coded requisition and checks it against company buying policies before it is submitted.  Available now in Microsoft Teams, Coupa, and SAP Ariba, the Intake Agent connects with Pactum’s other agents to enable end-to-end autonomous indirect procurement. A purchase can draw on an existing contract or move to autonomous sourcing and negotiation, with a human buyer handling requests that require judgment.

The launch extends Pactum’s growing portfolio of AI agents to the start of indirect procurement, covering purchases such as software, office equipment, and professional services. It brings Pactum’s co-founders’ vision of procurement run with AI agents from the first request through sourcing and negotiation into operation. Procurement teams set the buying rules once, and the agent applies them to every request, whatever its value.

“Procurement teams can now run indirect procurement with full autonomy while remaining in control and managing the exceptions,” said Kaspar Korjus, Co-Founder and CEO of Pactum. “Our Intake Agent helps resolve questions earlier so requests can move forward with less back-and-forth and teams can focus on the decisions that need their expertise.”

For employees, finding an approved supplier or selecting the right accounting code can require expertise across procurement, finance, operations, and IT teams. Missing or incorrect information can lead to rejected requisitions and repeated follow-ups, leaving buyers to focus on correcting forms instead of focusing on supplier relationships and commercial decisions. Review queues can stretch from days to weeks.

With Pactum Intake, employees describe what the business needs, whether goods or services of any complexity, and can provide supporting documents such as a supplier quote. The agent uses the request and relevant documents to identify the best procurement category and complete the accounting and supplier details. It asks only the follow-up questions needed to complete the requisition. Once the request is checked, it is handed off to another Pactum digital worker to autonomously source and negotiate for better pricing and terms where required.

“Building software that assists procurement professionals is relatively easy. Building software that runs the whole process on its own, from the first request to the final purchase, is much harder,” said Kristjan Korjus, Co-Founder and Chief Scientist at Pactum. “It is the difference between driver assistance and a car with no one behind the wheel. Most procurement AI still needs a buyer at the wheel for every request. Our AI agents take the request all the way to the purchase on their own, and it is remarkable to watch them pass the work from one agent to the next.”

The launch follows Pactum’s Requisition Alignment Agent surpassing one million requisition checks, which validates purchase requests against company buying policies, existing contracts, and approved suppliers. Intake builds on this foundation in policy enforcement by connecting employee requests with agents that carry out sourcing and negotiation.

For more information about Pactum Intake, visit https://pactum.com/procurement-agents/intake.     

About Pactum:

Since 2019, Pactum has been leading the shift to autonomous procurement. Its AI agents check every purchase request against a company’s policies, contracts and approved suppliers, source and negotiate with suppliers in more than 40 languages, and work inside Coupa and SAP Ariba. Pactum agents are relied on by more than 60 of the world’s largest enterprises. To learn more, visit www.pactum.com.

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SOURCE Pactum

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Crush Security Launches Crush Dollar Exposure, Turning Cyber Risk Into Dollars and Showing Which Security Investments Reduce It Most

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New financial risk intelligence capability uses FAIR-informed modeling, Monte Carlo analysis and security data to help CISOs and CFOs quantify cyber exposure, prioritize remediation and communicate financial risk to executive leadership.

SCOTTSDALE, Ariz., Oct. 21, 2026 /PRNewswire/ — Crush Security today announced the launch of Crush Dollar Exposure, a new capability within its cybersecurity intelligence platform that translates cyber risk into financial exposure and helps organizations identify which security improvements can deliver the greatest reduction in potential financial loss.

For years, cybersecurity teams have measured their environments through vulnerabilities, risk scores, compliance percentages and control gaps. While valuable to security operations, those measurements often fail to answer the fundamental questions that executives and boards need answered:

How much could our cybersecurity weaknesses cost the business, and where should we invest to reduce that exposure?

Crush Dollar Exposure is designed to answer those questions by connecting an organization’s security posture, control coverage, threat intelligence and industry financial loss data to a quantitative view of cyber risk. The result is a financial perspective that enables security and business leaders to evaluate potential losses, compare remediation priorities and make more informed investment decisions.

From Technical Risk Scores to Financial Decisions

Traditional cybersecurity assessments often produce long lists of findings ranked by technical severity. But the most technically severe vulnerability is not necessarily the one that represents the greatest potential financial loss to the organization.

Crush Dollar Exposure changes the decision-making process by evaluating security gaps through their estimated contribution to financial risk. The capability provides four principal measurements:

Annualized Financial Exposure: An estimate of potential annual cyber losses, expressed in dollars.Financial Exposure Relative to Revenue: A view of modeled cyber exposure in relation to the organization’s annual revenue, providing business context.Value-at-Risk Analysis: Potential loss thresholds at selected probability levels, supported by loss-exceedance curves that illustrate the range of possible financial outcomes.Financially Prioritized Remediation: Security control gaps ranked by their modeled contribution to financial exposure, helping teams identify where remediation may reduce the most risk.

Rather than simply reporting that a security control is missing or a vulnerability is critical, Crush Dollar Exposure helps organizations understand the potential financial consequences and prioritize corrective action accordingly.

Connecting Every Security Gap to Business Impact

One of the capability’s key differentiators is its ability to connect security control weaknesses to modeled loss scenarios and financial consequences.

For example, a security team evaluating investments in identity protection, endpoint security and vulnerability remediation can use the model to determine which weaknesses contribute most significantly to estimated financial exposure. This allows security leaders to move beyond asking which problem is technically most severe and begin asking which investment is likely to provide the greatest financial risk reduction.

The analysis also connects control gaps to underlying loss scenarios, helping organizations understand how multiple weaknesses may contribute to the same business risk. For CFOs and executive teams, this provides a more financially grounded way to evaluate cybersecurity spending. For CISOs, it creates a defensible framework for explaining security priorities and communicating their potential business impact.

Transparent, Reproducible Risk Modeling — Not a Black-Box AI Score

Crush Dollar Exposure uses a quantitative methodology informed by the Factor Analysis of Information Risk (FAIR) framework and Monte Carlo simulation to model possible financial losses.

The methodology incorporates security control coverage, industry-relevant threat activity, recognized adversary techniques, organizational characteristics and established financial loss reference data.

Unlike opaque risk-scoring approaches, the capability is designed to make the assumptions, data inputs and modeled loss scenarios underlying its financial estimates visible and reviewable. Although Crush Security’s broader platform includes Cassandra, its AI-powered security advisor, the financial risk calculations themselves rely on defined quantitative modeling rather than generative AI.

The capability distinguishes between uncertainty in modeled financial outcomes and confidence in the quality of supporting data, helping executives understand both the estimated exposure and the limitations of the underlying analysis. This transparency is intended to support repeatable analysis, auditability and more defensible conversations with boards, regulators and financial stakeholders.

Giving CISOs and CFOs a Common Language

“Cybersecurity leaders are constantly asked to justify their budgets, but we’re still presenting information to boards that doesn’t directly answer the questions they’re asking,” said Josh Jones, CEO and Co-Founder of Crush Security. “Boards don’t just want to know how many vulnerabilities you have or how many security tools you’ve deployed. They want to understand what the risk could cost the business, where their money is going, and whether those investments are making a measurable difference.”

“With Crush Dollar Exposure, we’re connecting cybersecurity decisions to financial outcomes. Our goal is to give every CISO the ability to walk into a board meeting and explain their organization’s estimated financial exposure, identify the gaps driving it, and show which actions have the greatest potential to reduce that risk.” -Joshua Jones, CEO-

Built on the Crush Security Intelligence Platform

Crush Dollar Exposure extends Crush Security’s intelligence platform, which brings together vendor, control, compliance and threat data to support security investment decisions.

Powered by Cassandra, the platform helps organizations identify coverage gaps, compare technology and vendors, and optimize cybersecurity spending.

Risk calculations are performed within each customer’s data environment, with customer-specific information remaining within its designated security boundary. Anonymized and aggregated industry reference information supports comparative risk modeling.

Availability

Crush Dollar Exposure is available now within the Crush Security platform. Organizations interested in quantifying their financial cyber exposure, evaluating remediation priorities or scheduling a demonstration can visit www.CrushSecurity.com. Access information is available directly from Crush Security.

About Crush Security

Crush Security is a veteran-owned cybersecurity technology and advisory company headquartered in Scottsdale, Arizona.

Its proprietary intelligence platform, advisory services and cybersecurity procurement data help customers make data-driven technology purchasing decisions leveraging Crush Security’s resell capabilities.

Cassandra, its AI-powered advisor, unifies security, vendor and compliance intelligence to identify gaps, optimize investments, quantify risk and evaluate solutions to shorten the decision time and accuracy for each project.

Crush Security’s core intelligence platform is currently included at no separate subscription cost with eligible customer engagements.

Website: www.CrushSecurity.com

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SOURCE Crush Security Group Inc

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