Salesforce.com IncCRM
▲ PositiveDemandrelevance
Siemens expands Agentforce deployment across 132 countries and an 18,000-person sales force, a concrete real-world adoption of Salesforce's AI agents.
Impact on assets 3
Artificial Intelligence
Salesforce.com IncRobotics & Physical AI
Siemens AktiengesellschaftSIE
▲ PositiveTechnologyrelevance
Siemens is deploying Salesforce Agentforce AI agents to qualify inbound leads and connect engineering data for faster technical service.
Health Care
Siemens Healthineers AGSHL
Mentioned
Theme Impact 2
Off-coverage companies
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United States▼
Cequence Finds Meta's Muse AI Agent Hit Over Half of Studied Customers in Two Weeks
Cequence Security said it detected traffic matching Meta's Muse personal AI agent at more than half of the customers it studied within two weeks of the agent's September 8 launch, and most of those businesses would not have known because Muse presents itself as an ordinary Chrome browser rather than identifying as an AI agent. Cequence analyzed traffic across customers in financial services, retail, travel, software and other sectors from September 1 to September 24, 2026, and found that at the median customer, Muse traffic grew nearly sixfold within about two weeks of first appearing. At financial institutions, Muse logged in to customer accounts and completed multi-factor authentication on users' behalf with confirmed successful sign-ins, while a small share of its sessions ended in a completed purchase. In late September, a travel and hospitality customer's security team began blocking nearly one in five Muse requests, targeting only the ones that looked abnormal, while Muse itself remained allowed. Cequence launched Agent Trust, a new capability in Cequence Application and API Protection available today, which verifies agents that present an identity and catches the ones that don't, pairing identity verification with behavioral detection. Agent Trust is immediately available to Cequence customers as part of Application and API Protection.
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Artificial Intelligence › Agentic AI & Autonomous Workflows ▼Technology
Cybersecurity & Digital Trust › AI Security & Agent Guardrails ▼Technology
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Cequence Security · Technology · Positive Cequence launched Agent Trust, a new capability in its Application and API Protection suite, directly tied to the Muse agent detection findings.
META · Technology · Neutral Meta's Muse AI agent launched Sept 8 and was detected across over half of studied customers, but the article frames it as a security/visibility concern rather than a clear positive or negative for Meta.
United States▲3
IBM Launches Self-Hosted Deployment Option for Its Bob Agentic AI Platform
International Business Machines Corporation introduced a self-hosted deployment option for IBM Bob, its agentic software development platform, letting enterprises adopt AI-powered software development and modernization tools while retaining greater control over sensitive data, source code and development environments. The offering can be deployed across on-premises, private-cloud, sovereign-cloud and air-gapped infrastructure, making it particularly relevant for organizations with stringent security, regulatory and data-residency requirements. IBM is seeking to address growing enterprise demand for secure and governed AI adoption by enabling customers to run supported AI models within controlled environments or connect to external models through hybrid configurations. The enhancement complements IBM's broader hybrid cloud and AI strategy, alongside its watsonx platform and the HashiCorp buyout that augmented its hybrid multi-cloud capabilities. IBM has plummeted 23.6% over the past year against the industry's growth of 155.8%, while earnings estimates for 2026 have moved up 2.5% to $12.33 and for 2027 have increased 3% to $13.19. The company faces stiff competition from Amazon Web Services and Microsoft Azure, and a potent threat from Anthropic, whose Claude Code tool can modernize legacy COBOL systems embedded in IBM's mainframe ecosystem.
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Artificial Intelligence › Agentic AI & Autonomous Workflows ▲Technology
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IBM · Technology · Positive IBM launched a self-hosted deployment option for its Bob agentic AI platform, expanding enterprise AI capabilities.
Anthropic · Competition · Neutral Anthropic's Claude Code is cited as a potent threat to IBM's mainframe ecosystem, but no new development for Anthropic itself.
Global▼
FICO Study Finds Only 5.2% of Tech Leaders Confident Explaining AI Decisions
FICO released its 2026 State of Responsible AI study, conducted with Corinium Global Intelligence, finding that only 5.2% of surveyed technology leaders are very confident explaining their AI-driven decisions. The survey of 1,004 senior technology, risk, and data leaders found that 71.5% of customer-impacting decisions are still made without AI, and that 37.3% of respondents are neutral or not confident at all in explaining AI decisions. Respondents most often cited AI model development standards, at 71.9%, as the responsible AI practice that would make the biggest difference, followed by interpretable model architectures at 67.9%. While 85.1% said AI has met or exceeded their ROI expectations, only 8.2% of organizations have a single shared AI deployment platform fully in place, and just 2.4% of tech leaders have broadly deployed agentic AI across customer-facing use cases, with 71.5% still in early exploration or pilot phases. FICO chief analytics officer Scott Zoldi said most organizations can tell you where and what their AI decided but far fewer can tell you why, adding that auditability and explainability are nonnegotiable as regulators and customers scrutinize AI use in decision-making.
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Artificial Intelligence › AI Applications & Copilots Technology
Artificial Intelligence › Agentic AI & Autonomous Workflows ▼Technology
FICO · · Neutral FICO released its own 2026 State of Responsible AI study; the survey findings are about the industry, not a company-specific financial or product development.
Corinium Global Intelligence · · Neutral Corinium Global Intelligence is named only as FICO's research partner for the study, with no independent development affecting it.
United States▲
Google Cloud and Mysten Labs to jointly develop VAA, a proof-of-behavior platform for AI agents
Mysten Labs, the developer of Sui, announced on October 6 a joint development plan with Google Cloud. The two will build Verifiable Agent Arbiter, or VAA, a platform that uses blockchain to prove that AI agents acted within the scope of the authority granted to them. VAA links the operations an agent is permitted to perform, its actual actions, and their outcomes into a record, so that counterparties and auditors can verify the record independently of the system that ran the agent. Instructions given to the AI, its outputs, its use of external tools, and decisions based on internal rules are stored privately in customer-managed Google Cloud storage, while cryptographic proofs corresponding to the records are stored on Walrus, a data storage platform, with Sui handling the management and linkage of those proofs. In addition to handling disputes in business-to-business transactions and investigating the causes of suspicious operations, the plan also includes integration with Sui's mechanism for AI agents to pay usage fees for external services under the x402 payment standard.
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Artificial Intelligence › Agentic AI & Autonomous Workflows ▲Technology
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Cloud & Digital Infrastructure › Hyperscale Cloud (IaaS / PaaS) ▲Technology
Mysten Labs · Technology · Positive Mysten Labs, developer of Sui, announced the joint development plan with Google Cloud to build VAA.
SUI · Technology · Positive Sui will handle management and linkage of cryptographic proofs for VAA and integrate its x402 agent payment mechanism.
WAL · Technology · Positive Walrus is the data storage platform where VAA's cryptographic proofs will be stored.
GOOG · Technology · Positive Google Cloud is jointly developing the VAA proof-of-behavior platform for AI agents with Mysten Labs.
Türkiye
South Korea
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Japan▲
ThinkingAI Opens Agentic Growth Platform to Game Studios With Plans From $0
ThinkingAI, which builds autonomous growth software for consumer and gaming companies, has opened its analytics, engagement and agent stack to game studios that buy software with a card instead of a procurement cycle, offering four self-serve plans priced from $0 to $999 a month. The Free tier costs $0 and includes 2 million events a month, 1 project, 1 seat, 12 months of data retention and $10 in Agent Credits for the first month, with no credit card required. Starter costs $199 a month for 5 million events, 2 projects, 5 seats, 24 months of retention and $25 a month in Agent Credits, while Pro costs $399 a month for 10 million events, 2 projects, 10 seats, 48 months of retention and $50 a month in Agent Credits. Team costs $999 a month for 30 million events, 3 projects, 15 seats, 60 months of retention and $100 a month in Agent Credits, and an Enterprise tier is sold by agreement with sales for larger studios with compliance or data residency requirements. Annual billing saves 20%, paid plans are billed through Stripe and can be cancelled at any time, and a studio that outgrows its event allowance moves up a plan inside the product with no re-instrumentation and no migration. The plans follow ThinkingAI's Sept. 16 launch of the Agentic Engine and draw on 10 years of behavioral data across more than 1,500 enterprises and 8,000 applications, including Sega, Krafton, Habby, Century Games, Xiaomi, Yostar, TCL and FunPlus, and are being announced at the ThinkingAI Agentic Game Growth Summit in Istanbul, co-hosted with Mobidictum.
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Artificial Intelligence › Agentic AI & Autonomous Workflows ▲Technology
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ThinkingAI · Demand · Positive ThinkingAI opened its agentic growth platform to game studios with self-serve plans from $0 to $999/month, expanding adoption of its product.
GlobalUnited Statesimpact 4
Agentic Commerce Rails Near Completion as Merchant Trust Lags
The protocol stack for autonomous agent-to-merchant commerce is now effectively complete, but merchant adoption remains fractured and consumer trust lags far behind the infrastructure. Four layers now underpin machine-led spending: the Stripe Machine Payments Protocol, launched in March 2026, provides a programmable policy layer for stablecoin, fiat, and BNPL transactions; the Google Universal Commerce Protocol set an open standard for agentic commerce in January 2026; and by June 2026 Mastercard launched Agent Pay for Machines with more than 30 launch partners including Adyen, Coinbase, and Stripe. Capital flows have surged alongside these rails, with Visa stablecoin settlement reaching an annualized $20 billion by September 2026, a 15x increase year-over-year, while Stripe stablecoin card volume hit $1.2 billion in the same month. Merchants, however, have split into three incompatible postures: QVC has integrated agents into its supply chain and catalog distribution, sending catalogs to OpenAI and Google; Kate Spade lets agents browse inventory but blocks them at the point of purchase, citing fraud and inventory management risks; and Amazon and eBay have moved to block AI agents entirely, even as Shopify makes Muse the default agent interface for consumers. The core barrier is trust rather than technology, with an NMI survey finding that only 3% of US adults trust AI agents to complete purchases on their behalf, and the VML Tomorrow's Commerce 2026 report showing one-third of active AI users refuse to authorize agents to spend their money. The bottleneck has thus shifted from the protocol layer to the trust layer, leaving a high-capacity system operating at a fraction of its potential throughput.
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Digital Finance & Tokenization › Payments Modernization & Rails ▲Demand
Artificial Intelligence › Agentic AI & Autonomous Workflows Demand
Digital Finance & Tokenization › Stablecoin Issuers & Distribution ▲Demand
MA · Technology · Positive Mastercard launched Agent Pay for Machines with over 30 launch partners, advancing its agentic commerce infrastructure.
V · Demand · Positive Visa stablecoin settlement reached an annualized $20 billion by September 2026, a 15x year-over-year increase, showing growing use of its rails.
ADYEN.AS · Demand · Positive Adyen is named as one of the 30+ launch partners for Mastercard's Agent Pay for Machines.
COIN · Demand · Positive Coinbase is named as one of 30+ launch partners for Mastercard's Agent Pay for Machines, giving it a role in agentic commerce payment rails.