AI companies need usage data to align pricing with costs, improve products, identify churn risks, and grow revenue through informed decisions. The AI Paradox There is a paradox: AI companies exist to extract intelligence from data, yet many have almost no visibility into how their own software is being used. They design complex models, introduce their product, set a price, and then hope that customers renew their contracts. In a space as fast-paced as AI, such a strategy is no longer safe. Without usage as a guide, price decisions are made on assumptions rather than facts. Product roadmaps are driven by story, not by usage. Customer success teams learn about customer churn when renewal dates are approaching. In reality, usage intelligence has become one of the most important signals in an AI business, guiding everything from pricing strategy to product development and long-term monetization. Why AI Changes the Stakes for Usage Data AI changes the economics of software and, with it, the relevance of usage visibility. The economics of existing software products are linear in cost, whereas those of AI products are not. Compute, energy consumption, as well as third-party model licenses, can all be material variable costs. If usage increases rapidly (through enterprise adoption, agents, or workflows), the cost can grow faster than the revenue generated if pricing is not aligned with consumption. The opposite scenario is just as dangerous. If customers are not using key capabilities, churn may be approaching long before a renewal conversation begins. Research shows the extent of this visibility gap. For AI vendors, visibility is important on the commercial side, too. They need to know how customers are using the AI capabilities they sell. IDC research found that 48% of software buyers want better visibility into their usage. The pace of change is also a concern, with 70% ranking rapid change in the AI ecosystem among their top three AI-related security risks. Pricing, packaging, and business models must evolve at the same pace, and that requires reliable usage intelligence. What Usage Intelligence Actually Looks Like Of all the capabilities that make up a software monetization strategy, usage intelligence is the one most commonly treated as optional — and the one that most consistently separates companies that adapt from those that don’t. It is the feedback loop that connects real-world product consumption back to the decisions that shape pricing, packaging, and product direction. At the instrumentation layer, usage intelligence starts with telemetry data. This includes activation events, entitlements consumed, feature-level data, daily and monthly active users, and time-to-value metrics that track how quickly customers get value from the product. Thales Sentinel can also collect usage data from on-premises, offline, and disconnected environments, so vendors are not limited to tracking always-connected software. The operational layer is where all the telemetry data is made actionable. Usage dashboards in CRM systems enable account teams to see how customers use the software. Health scores can even detect reduced engagement well before any risk of renewal is seen. The enforcement layer makes sure that usage is consistent with contract rights. This is particularly important for consumption-based or token-based pricing schemes. Tracking accuracy is essential for determining customer fairness and vendor revenue. Finally, there is the feedback loop. The insights from usage need to flow back to those responsible for pricing, packaging, product development, and customer success. Without the feedback loop, the data is just more information. Pricing specialists have long argued for incremental experimentation. Research from Simon-Kucher reveals that companies that make frequent, data-informed pricing adjustments tend to achieve stronger growth than those that depend on static pricing models. Usage intelligence provides the evidence required to make those adjustments with confidence. How Usage Data Enables Multiple Business Models Business model agility is increasingly becoming a competitive advantage for AI companies, yet flexible business models cannot exist without trustworthy usage data beneath them. Consumption-based pricing, outcome-based pricing, token models, and hybrid subscription structures all depend on accurate measurement of how customers use the product. There is demand for these models, too. IDC research found that 45% of software buyers prefer usage-based models. In practice, most AI companies adopt a gradual sequence. They begin with subscription licensing to establish predictable recurring revenue. As adoption grows, they instrument feature usage and engagement patterns. That data then enables the introduction of consumption or token-based layers tied to high-value AI capabilities. One AI audio-recognition company did just that. It moved from perpetual licensing to several subscription tiers using Thales Sentinel. Its usage data showed which features customers used most, which helped the company decide how to structure those tiers without making changes to the core technology. Another AI recognition vendor delivering SDKs for embedded systems took a different approach using Sentinel. Their trial licenses expire after a defined number of executions instead of after a fixed time period. This usage-based trial model demonstrates genuine customer interest, giving them a clearer indicator of product-market fit than a simple time-limited evaluation would. Both examples show that usage intelligence transforms monetization strategies from guesswork into evidence-based decision-making. From Data to Decision: Three Practical Applications The real value of usage intelligence lies in informing concrete business decisions. Preventing churn is one of the most immediate uses. Feature-level engagement metrics can detect declining usage several months before a renewal date. This enables customer success teams to step in and show the value or introduce underutilized features, preventing a customer from leaving. Upsell and expansion opportunities can also show up in the usage data. Seat utilization may show that a team is close to capacity and needs more licenses. Feature usage can show when a customer is getting enough value from certain capabilities to justify moving to a higher tier or adding consumption-based features. Usage data can also inform the product roadmap. Rather than relying on assumptions about what customers want, AI companies can see which features people use and which get little attention. This is key in a market full of similar AI capabilities. Companies need to know which parts of their product customers value and are willing to pay for. There is also a need for the collection of usage intelligence to be privacy-conscious. For vendors operating under frameworks such as GDPR or the EU’s AI Act, it is necessary to design telemetry systems that prioritize aggregated data collection over personal data collection whenever possible. The Organizational Challenge However, technology alone is not enough to create usage intelligence. Businesses must also ensure that the intelligence is available to those who can act on it. Usage intelligence only delivers value if it reaches the people who can act on it. Pricing teams need consumption data to make confident adjustments to their models. Product teams need feature engagement data to inform roadmap decisions rather than rely on assumptions. Sales teams need account-level signals to time their conversations correctly. Customer success teams need early warning indicators to intervene before disengagement becomes churn. Finance teams need usage trends to build credible revenue forecasts. Getting that data to all of those functions consistently and in a usable form requires intentional data architecture and a shared organizational commitment to treating monetization as a cross-functional capability rather than a single team’s responsibility. This becomes harder as companies add more AI products. If usage data is split across separate products, teams may struggle to see how a customer is using the wider portfolio. Bringing the data together can show where products are being heavily used, where adoption is low, and where there may be room to expand an account. Building Systems Around Innovation The AI companies that sustain long-term commercial success are the ones who built a system around it that can learn, adapt, and improve as markets shift and customer needs evolve. Usage intelligence is what makes that system adaptive. Without it, pricing decisions are made on assumptions, packaging tiers are defined by intuition, and churn arrives without warning. With it, every commercial decision — what to charge, how to package, what to build next, which customers need attention — is grounded in evidence rather than expectation. In an industry defined by rapid innovation, the AI companies that listen to their own usage data will be the ones best positioned to turn experimentation into sustainable growth. About the Author: Kirsten Doyle has been in the technology journalism and editing space for nearly 24 years, during which time she has developed a great love for all aspects of technology, as well as words themselves. Her experience spans B2B tech, with a lot of focus on cybersecurity, cloud, enterprise, digital transformation, and data centre. Her specialties are in news, thought leadership, features, white papers, and PR writing, and she is an experienced editor for both print and online publications. She is also a regular writer at Bora. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, artificial intelligence)
Capcom disclosed a data breach exposing 11.7 million email addresses and account details after hackers accessed its CAPCOM ID service. Japanese gaming company Capcom has disclosed a data breach discovered on October 19 involving its CAPCOM ID service, which provides access to online services and games. As of October 22, attackers stole 11,774,247 email addresses, along with account details including creation dates, last login dates, login counts, and the IP addresses used for the latest logins. “We have recently discovered that unauthorized access by a third party occurred to our online membership service “CAPCOM ID” (*1) , resulting in the leakage of some customer information.” reads the company’s notice. “Number of leaked email addresses and system-specific identification information: 11,774,247 (worldwide total)” In 43 cases, hackers exposed date of birth, gender, country/region, and nickname. Capcom also reported that attackers illegally changed passwords on 196 accounts, and the company has already reset them. The company said the incident exposed personal information belonging to a small number of individuals. Capcom has activated its incident response procedures and confirmed that services using CAPCOM ID remain operational. The company has notified the relevant authorities, is investigating the breach, and has begun contacting affected customers through a dedicated support channel. The company also urges users to watch out for phishing attempts involving emails impersonating Capcom or its partners, particularly those containing suspicious links or attachments. It says it will investigate the incident, address the identified causes, and strengthen its security measures to prevent similar breaches. “In response, we implemented emergency measures and began identifying and addressing the attack method.” states the notice.”A task force was established within the company to gather information and take measures to prevent further damage. The investigation revealed that some customer information registered with “CAPCOM ID” had been leaked. In addition, unauthorized password changes were confirmed for some accounts. On the same day, the incident was reported to the Security Oversight Committee, our external advisory organization.” Capcom was previously targeted by the Ragnar Locker ransomware gang in November 2020. The attackers claimed to have stolen 1 TB of data, potentially affecting up to 390,000 people. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, data breach)
U.S. Cybersecurity and Infrastructure Security Agency (CISA) adds Arista VeloCloud Orchestrator flaw to its Known Exploited Vulnerabilities catalog. The U.S. Cybersecurity and Infrastructure Security Agency (CISA) added a critical Arista VeloCloud Orchestrator flaw, tracked as CVE-2026-114625 (CVSS score of 9.4), to its Known Exploited Vulnerabilities (KEV) catalog. VeloCloud Orchestrator (VCO) is the central management system for VMware SD-WAN, a technology that helps companies securely connect offices, data centers, cloud services, and remote sites over wide-area networks. It is now associated with Arista Networks, which acquired VMware’s SD-WAN business. The orchestrator gives network administrators a central place to configure, monitor, and manage the network. The flaw is a SQL Injection issue that affects on-premises VeloCloud Orchestrator (VCO). It allows an authenticated user to gain operator privileges and impersonate a local superuser operator account. This could give a remote attacker access to internal functions that should not be remotely available, potentially compromising the system and the data it manages. Hosted VCO versions, including Dedicated, were also affected but have already been patched. “VeloCloud Orchestrator (VCO) on-prem has a security issue where this issue may allow a remote attacker to access privileged internal functionality and impact the VCO host. Successful exploitation may compromise the confidentiality, integrity, and availability of the orchestrator and data managed by the orchestrator.” reads the advisory. “On an affected system, any authenticated user can gain operator privileges and masquerade as a local “superuser operator” user. This includes access to functionality that is intended for internal use only and which is not intended to be remotely accessible.” VeloCloud Orchestrator (VCO) is vulnerable by default. An attacker needs access to its web interface and a valid account. Even an account with the lowest permission level, Enterprise Read Only, is enough. No configuration change can prevent this exposure. Administrators should check web access logs for unusual requests, encoded text, attempts to access internal services, or an unusually high number of requests. They should also block these IP addresses linked to attacks: 74.82.197.86 38.54.50.151 If an attack is suspected, administrators should save web, application, system and database logs, along with relevant file timestamps, before starting recovery, if possible. According to Binding Operational Directive (BOD) 22-01: Reducing the Significant Risk of Known Exploited Vulnerabilities, FCEB agencies have to address the identified vulnerabilities by the due date to protect their networks against attacks exploiting the flaws in the catalog. Experts also recommend that private organizations review the Catalog and address the vulnerabilities in their infrastructure. CISA orders federal agencies to fix the flaw by October 26, 2026. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, CISA)
PHP warns of a new, unlikely code execution flaw, CVE-2026-115560, and advises disabling session upload progress until a fix is released. PHP has warned of a new code execution vulnerability, tracked as CVE-2026-115560, just two days after releasing emergency patches for the critical PHP2Shell flaws. The vulnerability affects only a specific PHP configuration that PHP says is unlikely to be used in practice. An application must meet several conditions: it must configure session.serialize_handler as php_binary or php_serialize, change it to php at runtime using ini_set(), and make this change before calling session_start(). Session upload progress must also remain enabled. In an advisory published on October 23, the project recommended disabling session upload progress until a fix becomes available in a regular release. The vulnerability is separate from PHP2Shell and is not fixed by the October 21 updates for PHP versions 8.2.35, 8.3.36, 8.4.27 and 8.5.12. “The issue can only occur under an unusual combination of configuration and application code. An application must set session.serialize_handler to php_binary or php_serialize in its configuration and then switch it to php at runtime with ini_set() before calling session_start(). Session upload progress must also still be enabled.” reads the advisory. “Applications that never change the serialize handler at runtime can keep the feature enabled. Since this setup is unlikely in practice, we are handling it in the regular release cycle and will publish a full advisory for CVE-2026-115560 with the next release.” Applications that do not change the serialization handler while running are not exposed through this attack path, even if session upload progress is enabled. PHP recommends a simple temporary fix: set session.upload_progress.enabled=0 until the next routine bugfix release. This is the same mitigation already recommended in the October 21 advisory for CVE-2026-109619. Administrators who applied this setting and have kept it in place do not need to take further action for this issue. Session upload progress is enabled by default and allows applications to track the progress of file uploads. Disabling it reduces exposure to this specific vulnerability path. PHP will fix CVE-2026-115560 through its regular release cycle because the vulnerable setup is uncommon. It plans to publish a full advisory with the next release. PHP has not yet identified affected versions, confirmed when the fix will arrive, assigned a severity score, or explained whether the flaw shares a root cause with CVE-2026-109619. No attacks targeting this new issue have been reported. On October 21, PHP released emergency patches for two critical vulnerabilities tracked as CVE-2026-109618 and CVE-2026-109619 (CVSS score of 9.2), affecting every PHP version that handles web requests. The bug code dates back to PHP 5.4 from 2012, lives in the PHP engine itself rather than in any application, and allows unauthenticated remote code execution via crafted HTTP requests. Cloudflare researchers observed tens of thousands of exploit attempts within 45 minutes of public disclosure, hundreds of thousands within two hours, and millions by October 22. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, PHP)
Cybersecurity researchers have discovered an artificial intelligence (AI)-driven intrusion ecosystem run by affiliates of the INC and The Gentlemen ransomware groups. Central to the operation is an "Autonomous Red Team Kill Chain Framework" referred to as Phantom. The threat actor is assessed to be Russian-speaking and functions both as an intrusion and data-extortion operator, as well as an
American clinical laboratory company Quest Diagnostics disclosed that patient records have been exposed after a threat actor gained unauthorized access to its Quanum LSM system. The company learned about the breach on October 21 and deployed its incident response protocol "to contain the activity, assess and investigate the nature and scope of the incident and implement appropriate remedial measures." “On October 21, 2026, Quest Diagnostics Incorporated learned of unauthorized access to its Quanum LSM system, which certain clients use to place test orders, receive and look up results,” the company says in a filing with the U.S. Securities and Exchange Commission (SEC). Quest Diagnostics is a major clinical laboratory company in the United States, providing diagnostic testing and services for a wide range of medical conditions.
The PHP security team has shared mitigation measures for a new remote code execution vulnerability that affects systems with non-default configurations and has no patch. PHP is an open-source web development language used by nearly 70% of all websites on the Internet. According to VirusTotal estimates, more than 5.1 million PHP hosts are exposed online, and roughly 3.8 million have at least one port open to attacks. According to a Friday advisory, this security flaw (tracked as CVE-2026-115560) can only be exploited when targeting systems "with an unusual combination of configuration and application code." "An application must set session.serialize_handler to php_binary or php_serialize in its configuration and then switch it to php at runtime with ini_set() before calling session_start(). Session upload progress must also still be enabled," the PHP team explained.
Cybersecurity researchers have disclosed details of a large-scale campaign that has targeted exposed network edge devices such as Fortinet FortiGate and Palo Alto Networks GlobalProtect firewalls. "Artifacts from this investigation also indicate that operators in this campaign have obtained access to numerous organizations worldwide, and have attempted to further compromise some victims,
PHP has warned of another way an attacker could run code on a web server, two days after it shipped emergency fixes for the critical PHP2Shell flaws. The new issue, assigned CVE-2026-115560, affects only web applications configured in an unusual way, and PHP considers it an unlikely risk.The project is not issuing an emergency fix for it. Instead, it recommends turning off a feature called
PHP2Shell attacks have surged into the millions, but no successful exploitation is confirmed. Patch it immediately. On October 21, PHP released emergency patches for two critical vulnerabilities tracked as CVE-2026-109618 and CVE-2026-109619 (CVSS score of 9.2), affecting every PHP version that handles web requests. The bug code dates back to PHP 5.4 from 2012, lives in the PHP engine itself rather than in any application, and allows unauthenticated remote code execution via crafted HTTP requests. Cloudflare researchers observed tens of thousands of exploit attempts within 45 minutes of public disclosure, hundreds of thousands within two hours, and millions by October 22. Some stats on #php2shell. In the 10 hours before it was publicly announced, across the @Cloudflare network we saw thousands of attempts to exploit it. That jumped to tens of thousands in the 45 minutes post announcement, hundreds of thousands within 2 hours, and millions now. — Matthew Prince (@eastdakota) October 22, 2026 As of October 23, Censys counts over 34.4 million PHP services still running vulnerable versions. Governments, hospitals, and schools across Asia, Europe, and North America have preemptively taken services offline rather than wait. Below is an image showing the hosts potentially vulnerable to CVE-2026-109618 and/or CVE-2026-109619. Source Censys Security firms using honeypots report the same pattern: attackers are scanning many servers and trying to exploit the PHP flaws, but no successful remote code execution has been confirmed in real-world attacks. Sophos says this suggests that attackers are also struggling to exploit the vulnerabilities. Even its own security team needed more effort than expected, despite using AI, to develop a working exploit. However, the risk is growing. VulnCheck researchers have developed an exploit that bypasses ASLR, a security feature that randomizes where code is stored in memory. By combining both vulnerabilities, they can use a memory leak to bypass this protection and run code on the target system. The exploit works, even though there is no evidence of widespread use yet. The attempts that have been caught so far are mostly scanning, fingerprinting, and botnet delivery attempts. Cowrai’s analysis of PHP2Shell traffic in the wild found connections to a Mirai variant called Potassium, which contacts a C2 server, checks for an HTTP 200 response, then downloads a Linux executable as a follow-on payload. “The payload, a likely Mirai botnet variant known as Potassium, was not delivered since the exploitation attempt was unsuccessful due to being blocked by Sophos countermeasures.” states the report published by Sophos. “However, analysis of the sample revealed that is an updated and significantly expanded version of the Mirai-derived botnet variant identified in early 2026.” The malware can download additional files and disrupt networks. It contacts a hard-coded command-and-control server, checks that the server responds successfully, and downloads a file designed to run on Linux. If normal address lookup fails, it can use public DNS servers such as Google DNS and Cloudflare DNS. Like other Mirai malware, it can also launch distributed denial-of-service (DDoS) attacks. Arctic Wolf found that both malware samples had Ethereum Name Service (ENS) resolution disabled, meaning the feature was available but not active. “ENS resolution was disabled in both samples, indicating that the capability was present but inactive.” states Arctic Wolf. “If enabled in future variants, it could complicate disruption by reducing reliance on registrars and DNS providers, requiring defenders to block the ENS names, RPC infrastructure, and resolved command-and-control addresses.” The botnet’s developers have already added the ability to use ENS to find command-and-control (C2) servers. This could help them keep their infrastructure online and make it harder for authorities to take down their domains, but the feature has not yet been enabled. Sophos blocked the attempted Potassium delivery before it succeeded. But analysis of the sample itself showed it’s a significantly expanded version of the Mirai variant spotted earlier in 2026, with added DDoS capabilities and fallback DNS resolution using public servers like 8.8.8.8 and 1.1.1.1 hardcoded as backup. PHP2Shell is being compared to Log4Shell because it affects a huge number of systems. The flaw is in PHP itself, so it can affect websites, content management systems and shared hosting services. Even a basic WordPress site with no extra plugins is at risk if it uses a vulnerable PHP version. Fixes are available in PHP versions 8.2.35, 8.3.36, 8.4.27 and 8.5.12. Older versions, including 7.4, 8.0 and 8.1, need fixes provided by their software distributors or an upgrade to a supported version. Cisco Talos notes that scanning for flaws and using public exploit code is easier than building attacks into custom tools. Advanced attackers may still be developing those tools, so administrators should use this time to patch vulnerable systems. “The true impact of this vulnerability will take time to evaluate.” concludes Talos. “These types of vulnerabilities that impact core technologies tend to cascade into other platforms and applications as they evaluate impact and provide associated patching, harkening back to the waves of exploitation that we saw after Log4J.” Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, PHP2Shell)
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