Meta is pushing hard into the corporate AI market with a new sales organization and partnerships with Accenture, Deloitte, and IBM. The company launched the Meta Enterprise Platform, which includes tools like the Muse agent, Meta Business Agent, Muse Code, and Muse Spark models. This effort follows over a year of testing to gauge business interest in AI products. Meta's previous enterprise push, Workplace, peaked at 7 million paid subscribers in 2021, so the company has experience in this space but has struggled to gain traction with corporate customers until now.
Security concerns around AI are mounting on multiple fronts. A hacker in Taiwan used BOSSAI AI agents to steal emergency dispatch records from seven Taipei districts and accessed a fire department platform exposing patient data dating back to 2018. The attacker targeted hundreds of organizations across at least 11 countries. Meanwhile, banks like Morgan Stanley and JPMorgan Chase are grappling with a new challenge: AI agents accessing customer accounts using shared credentials. These institutions have started blocking third-party agent access because traditional fraud detection tools cannot keep up with how AI agents behave differently from human users.
On the development side, a Linux Foundation survey of 172 security practitioners found that 58 percent of teams ship code faster than security review can manage. AI coding tools helped detect 30 percent of vulnerabilities last year, and 69 percent said the tools improved their security posture. However, false-positive reports increased workloads by 30 percent, and supply chain attacks remain the top concern at 93 percent. Only 30 percent of teams have a dedicated role for AI-related security threats.
Market movements tied to AI have been turbulent. AI stocks dropped after midterm election results, with the Nasdaq down 2.64% since Election Day, and Nvidia CEO faces an investigation amid the political and regulatory uncertainty. Asian markets recovered some ground as AI stocks rebounded on Wall Street, showing resilience despite the volatility. Separately, Russian military units are using deepfake videos to falsely claim battlefield successes, with researchers identifying at least 10 instances of AI-generated propaganda promoting fabricated victories.
Other developments show AI's expanding reach into everyday work. Nurse practitioners can now earn $40 to $125 per hour remotely training AI models for medical outputs like clinical protocols and medication safety. MTD set long-term growth targets including 6% or more sales growth and mid-teens adjusted EPS growth, with AI-enabled opportunities playing a central role. Meta's consulting partnerships signal that large enterprises typically deploy AI through systems integrators, and Meta is working to help these firms understand its products and identify potential customers.
Key Takeaways
- Meta launched the Meta Enterprise Platform with Muse agent, Muse Code, and Muse Spark models, partnering with Accenture, Deloitte, and IBM to sell AI to corporate customers.
- A hacker in Taiwan used BOSSAI AI agents to steal emergency records from seven Taipei districts and patient data from a fire department platform, targeting organizations across at least 11 countries.
- 58 percent of security teams ship code faster than security review can keep up, according to a Linux Foundation survey of 172 practitioners.
- Morgan Stanley and JPMorgan Chase have restricted or blocked AI agent access to customer accounts due to verification and fraud detection challenges.
- Nvidia CEO faces an investigation following midterm election results, contributing to a 2.64% Nasdaq decline since Election Day.
- Russian military units have used deepfake videos in at least 10 instances to falsely claim battlefield successes, according to researchers.
- Nurse practitioners can earn $40 to $125 per hour remotely training AI models for clinical tasks via platforms like Mercor, DataAnnotation, and Handshake.
- MTD announced growth targets of 6% or more in sales and mid-teens adjusted EPS growth, with AI-enabled opportunities as a key strategy.
- 69 percent of security teams said AI coding tools improved their security posture, but false-positive reports increased workloads by 30 percent.
- Supply chain attacks are the top security concern at 93 percent, yet only 30 percent of teams have a dedicated role for AI-related security threats.
Meta builds AI sales team and partners with consulting firms
Meta is building an AI sales team and working with consulting firms to sell to businesses. The company launched the Meta Enterprise Platform on Sept. 28, which includes the Muse agent, Meta Business Agent, Muse API and Muse Code coding tool. Most businesses Meta works with today are advertisers. Large companies usually deploy AI through consulting firms and systems integrators. Meta strategy chief Dave Wehner was mentioned in connection with the push.
Meta forms sales group to sell AI to small businesses
Meta formed a new sales organization targeting small and mid-sized businesses and corporate clients. In September, the company introduced the Meta Enterprise Platform, which sells software products including the Muse Code coding tool, business agent software and Muse Spark models. Meta is partnering with consulting firms Accenture, Deloitte and IBM. The push reflects over a year of market testing which AI products businesses wanted. Meta's previous enterprise initiative, Workplace communication software, reached 7 million paid subscribers at its peak in 2021.
Meta partners with Accenture Deloitte IBM for corporate AI sales
Meta Platforms is working with Accenture, Deloitte and IBM to sell its AI products to corporate customers. The move is part of Meta's effort to expand into the corporate market where it has struggled to gain traction. Meta is helping the consulting firms understand its AI products and identify potential customers. The partnership is seen as a key step to increase sales to corporate customers who want to use AI technology to improve operations. The consulting firms have deep knowledge of the corporate market.
Asian markets rise as AI stocks recover on Wall Street
Asian markets and U.S. futures advanced on Monday after artificial intelligence stocks recovered some ground lost during last week's sell-offs. The recovery followed a volatile week where AI stocks plummeted due to concerns about the sector's impact on the economy. Despite the concerns, the sector showed resilience. Market information screens were displayed at the New York Stock Exchange on Friday, Nov. 6, 2026. The story was reported by Elaine Kurtenbach for The Associated Press.
Asian markets bounce back after AI stock recovery
Asian markets bounced back after AI stocks recovered on Wall Street. Market information screens were shown at the New York Stock Exchange on Friday, Nov. 6, 2026. The recovery came after a volatile week that saw AI stocks drop due to economic concerns. The sector showed resilience despite worries about its impact on the economy. The report was written by Elaine Kurtenbach for The Associated Press.
Hacker used BOSSAI AI agents to steal Taipei emergency records
A single hacker in Hualien City, Taiwan used BOSSAI AI agents to steal emergency dispatch records from seven Taipei districts. The agents also found a Taipei fire department platform exposing patient data from 2018, including ECG readings and ambulance video footage. The attacker targeted hundreds of organizations in at least 11 countries, including emergency services, banks, universities and military systems. Evidence came from the attacker's own server containing more than 90,000 files with hacking tools, credentials and victims' data.
AI stocks drop after midterm results as Nvidia CEO faces investigation
AI stocks fell after midterm election results as Nvidia CEO faces an investigation. The Nasdaq is down 2.64% since Election Day. Oil prices and gas prices have also dropped. The market reaction reflects investor concern over the political and regulatory developments affecting the AI sector.
MTD sets long-term growth targets with AI-enabled opportunities
MTD announced long-term growth targets that include 6% or more sales growth and mid-teens adjusted EPS growth. The company expects about 100% free cash flow conversion and more than 100 basis points of margin expansion. Growth plans emphasize life sciences, service penetration, replacement demand and automation. AI-enabled opportunities are a key part of the company's future expansion strategy.
Nurse practitioners can train AI models remotely for up to $125 per hour
Licensed nurse practitioners can earn extra income by training AI models remotely using their clinical expertise. They spend five to 40 hours per week working from home to help AI models generate more accurate medical outputs like medication safety and clinical protocols. Pay ranges from $40 to $125 per hour depending on the project. Workers need their active NP license and RN registration but no prior AI training experience. Platforms like Mercor, DataAnnotation and Handshake list these remote opportunities.
Russian military uses deepfake videos to claim battlefield success
The Russian military is using deepfake videos to claim battlefield success, according to researchers tracking manipulated footage. Army units and pro-war military bloggers posted videos made with AI-powered tools to make it appear Russian forces achieved more than they actually did. Researchers identified at least 10 instances of deepfakes promoting Russian military successes. Experts say this represents an unprecedented scale and sophistication in the use of deepfakes in conflict and call for more efforts to counter manipulated footage.
Banks struggle to secure AI agent access to customer accounts
Banks are detecting AI agents accessing customer accounts but lack reliable ways to verify if the agents are acting within customer intentions. Customers have voluntarily shared banking credentials with AI assistants, allowing them to perform tasks on their behalf. Major institutions like Morgan Stanley and JPMorgan Chase have restricted or blocked third-party agent access. Traditional fraud detection methods struggle because AI agents do not behave like human users, creating a security blind spot that existing banking controls were not designed to handle.
AI writes code faster than security teams can review it
A Linux Foundation survey of 172 security practitioners found that 58 percent of teams ship code faster than security review can keep up. AI coding tools were credited with detecting 30 percent of vulnerabilities found in the past year, and 69 percent said the tools improved their security posture. However, false-positive reports increased workloads by 30 percent, and teams vet AI-added dependencies only about half the time. Supply chain attacks are the top concern at 93 percent, and only 30 percent of teams have a dedicated role responsible for AI-related security threats.
Sources
- Meta is building an AI sales team and lining up consulting firms to sell to businesses, The Information reports
- Meta Forms Sales Group to Sell AI to Small Businesses
- Meta Forging Relationships With Consulting Firms to Sell AI Products to Corporate Customers
- Asian markets bounce back after a recovery for AI stocks on Wall Street
- Asian markets bounce back after a recovery for AI stocks on Wall Street
- Taiwan-Based Hacker Used BOSSAI AI Agents to Steal Taipei Emergency Dispatch Records
- AI stocks fall after midterm results as Nvidia CEO faces investigation
- MTD: Long-term growth targets pair 6%+ sales growth with expanding margins and AI-enabled opportunities
- Nurse Practitioner Jobs Training AI (Remote)
- Russian military turns to deepfake videos to claim battlefield success
- Banks catching AI agents in customer accounts and security isn’t ready
- AI Is Writing Code Faster Than Security Can Review It, Finds New Linux Foundation Research Sponsored by ActiveState
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