The Money Mule Solution: What Every Scam Has in Common
CYBERA's money mule intelligence, now in Recorded Future's Payment Fraud Intelligence, targets the shared exit point of $450B-$1T annual scam losses.
Scams, especially authorized push payment fraud, do not require a breach; Global Anti-Scam Alliance estimated ~$450B in 2025 losses while CYBERA co-founder Claudio Staub puts the real figure near $1 trillion when underreporting is counted. Every scam needs a mule account to receive funds, so CYBERA uses agentic personas to engage active scammers and extract verified mule account details before payments occur, now available as an add-on to Recorded Future's Payment Fraud Intelligence. CYBERA collected over 16,000 confirmed mule accounts across 72 countries in H2 2025, finding 28% remained active 30 days or more after identification, including one account in 25 engagements. In Europe 51% of mule accounts sat at neobanks and fintechs, while outside Europe 69% were at major banks; regulatory pressure like the UK's APP reimbursement mandate is raising the stakes for institutions.
FST Pay: Deterministic Safety-Gated Architecture for Youth Digital Payments
FST Pay proposes a deterministic safety-gated architecture for teen digital payments, pairing invariant authorization checks with decoupled post-settlement AI explanations.
Researchers propose FST Pay, a formal architecture for adolescent digital payments on rails like UPI that applies six deterministic invariant checks (spending limits, guardian co-sign policies, amount thresholds, merchant category codes, temporal intervals, hardware integrity) to classify transactions as ALLOW, REVIEW, or BLOCK. High-risk transactions trigger an asynchronous guardian co-sign workflow. Generative AI is restricted to post-settlement natural-language insights and holds no mutation privileges over the ledger, avoiding non-determinism on the real-time authorization path.
Authors push back as publishers and agents make claims on Anthropic settlement
Authors report publishers and agents wrongly claiming shares of Anthropic's $1.5 billion copyright settlement, which pays $3,000 per pirated work across roughly 500,000 titles.
Anthropic's $1.5 billion copyright settlement, given final approval in July, pays $3,000 per pirated work for nearly 500,000 titles, split 50-50 with publishers for in-print books. Authors including April Henry report publishers claiming payments for works whose rights reverted years ago, and some agents claiming percentages despite not being rightsholders. Authors Guild CEO Mary Rasenberger attributes the disputes to poor recordkeeping rather than deliberate overreach. Full author claims require rights reversion before the settlement's August 10, 2022 download date.
Banks look for fraud signals in customer behavior
ThreatMark's 2026 benchmark finds 55% of banks see social engineering in most fraud, pushing behavioral intelligence and earlier detection during customer sessions.
ThreatMark's Fraud Readiness Benchmark 2026 reports social engineering is involved in most fraud at 55% of surveyed banks, with criminals impersonating trusted people to make customers authorize payments using legitimate credentials. The report highlights behavioral intelligence as underused (18% adoption, 83% rating it effective), expects authorized push payment reimbursement regulation in North America within two years, and notes 91% agreement that AI can shorten fraud investigations. It also finds 81% of fraud professionals now carry cybersecurity responsibilities.
2026 Cyber Insurance Trends Report: What's Changed and What You Need to Know
Huntress survey: CIRCIA reporting mandates now live, BEC claims exceed ransomware, exfiltration-heavy attacks cost twice as much, premiums rising.
Huntress's 2026 cyber insurance trends report, based on its own survey, finds 79% of respondents carry cyber insurance while 58% report shrinking coverage over five years. New CIRCIA federal reporting mandates and EU NIS2 requirements are reshaping policies, business email compromise now drives more claims than ransomware, and data exfiltration has replaced encryption as the dominant ransomware tactic at roughly twice the cost. After three years of declining premiums, rates are climbing again, and most businesses now refuse to pay ransoms.
Muse can shop, write emails, and negotiate prices for users, all through WhatsApp
Meta launched Muse, a WhatsApp-controlled agent running on an isolated VM with a Sentinel gatekeeper, able to shop, email, book travel, and negotiate.
Meta introduced Muse, an autonomous agent controlled through WhatsApp that runs on its own cloud virtual machine, plans multi-step tasks, browses, fills forms, and negotiates on users' behalf. Payments run through Stripe's Link using one-time cards, which Meta calls the first AI agent covered by Link's purchase protection, with Shop Pay and 1Password integration planned. A second agent, Sentinel, gates all Muse network access and holds credentials, and a Muse Confidential VM with user-held encryption keys is planned later this year. Muse's model reportedly scored 44-48 on Artificial Analysis Intelligence Index v4.3, up from 31 for Muse Spark in April, near GPT-5.6 Sol's 47; it launches first in the US on iOS and Android.
Former OpenAI researcher builds an AI model that judges options instead of writing text
TypeSafe AI launches Jev, a judgment-only model built by ex-OpenAI staff that classifies inputs with 70-500 ms latency instead of generating text.
Startup TypeSafe AI, co-founded by former OpenAI researcher and InstructGPT co-author Diogo Almeida, introduced Jev, a model that scores developer-defined answer options with probabilities rather than generating free-form text. The company claims 70-500 ms responses, parallel multi-question evaluation, and $0.042 per million input tokens with free outputs, targeting request routing, sales intent scoring, and assistant guardrail checks. Benchmarks are self-built and not independently verified, the 'no hallucination' guarantee only covers output structure, and access is currently via waitlist.
US disrupts Xinbi Guarantee marketplace fueling the cyber scam economy
US Treasury sanctions and DOJ seizures take down Xinbi Guarantee, a Telegram marketplace that processed $24B+ for cyber scams, freezing $52.8M.
The Treasury Department sanctioned the Chinese-language Telegram marketplace Xinbi Guarantee and two supporting firms, Anwen Technology (XinbiPay) and SafeW Technology, while the DOJ seized its Telegram channels and $52.8 million in USDT from 52 wallets. Blockchain intelligence firm Elliptic, which assisted the Secret Service, estimates Xinbi has processed at least $24 billion in transactions since 2022, making it the second-largest illicit online marketplace and a cornerstone of Southeast Asian cybercrime. Vendors sold money laundering, stolen personal data, deepfake technology, and other services for pig-butchering scams, with payments in Tether's USDT. The DOJ's Scam Center Task Force also dismantled 13 scam centers in Madagascar, arresting dozens of alleged leaders who were repatriated to China.
Introducing Muse: The World’s First Personal AI Agent Built for Everyone
Meta launches Muse, a personal AI agent running in a dedicated Secure VM and powered by its Muse Spark model, with payments via Stripe Link.
Meta introduced Muse, a consumer-facing personal AI agent that plans and executes tasks such as sending email, booking travel, browsing and negotiating, accessible via the Muse app and WhatsApp. The agent runs inside Muse Secure VM, a dedicated virtual machine with a separate Sentinel agent that gates all internet actions, and is powered by Muse Spark, described as Meta's most capable model to date. Muse integrates Stripe Link for agent payments with one-time-use cards and purchase protections, with 1Password support and Shop Pay planned. It rolls out in the US on iOS, Android and muse.ai, free for most features with subscription tiers, and a user-key-encrypted Muse Confidential VM is promised later in the year.
My business partner sent a 5K vibe-coded PR that he didn't even test
A developer's business partner shipped a 5,236-line untested vibe-coded payments backend PR whose endpoints failed basic testing.
The author describes reviewing a pull request with 5,236 additions for a payments backend that a business partner generated largely with AI in a single day without testing. The PR's AI-written documentation included redundant boilerplate (e.g., 'returns 400 on error') but omitted operational details like where to obtain API keys, and the endpoints failed when tested. The post is a critical opinion piece on vibe coding and perceived skill atrophy among developers who rely on AI for everything.
Visa enhances A2A Protect to stop fraud before money leaves the account
Visa enhanced A2A Protect with a Featurespace-powered unified fraud score to help banks stop account-to-account fraud before funds leave accounts.
Visa announced an updated A2A Protect that integrates Featurespace technology into a unified fraud score, giving banks real-time risk insights on account-to-account payments without waiting for in-house model training or consortium participation. Visa claims a 75% increase in fraud detection within the first six months of deployment and a single API for integration. A2A transaction volume is projected to exceed 5.8 trillion by 2028, up 160% from 2024.
Srsly Risky Biz: Trump's Private Hacker Memo Is the Right Idea
A Trump presidential memo directs DHS to authorize vetted private-sector hackers to conduct cyber operations against foreign cybercriminal groups (CE-TCOs).
A presidential memorandum directs the Department of Homeland Security to establish a program authorizing private companies to conduct cyber surveillance and cyber effects operations against Cyber-Enabled Transnational Crime Organisations (CE-TCOs). Participating companies must pass vetting, obtain government approval before operations, and post a USD $1 million bond. The accompanying fact sheet cites more than USD $20.8 billion in US losses to cyber-enabled crime in 2025. Critics worry about accidental escalation if operations touch foreign government systems.
AI is making fraud harder to spot and identity harder to prove
Experian's 2026 report finds AI-generated scams, deepfakes and synthetic identities spreading across digital channels, pushing businesses toward adaptive identity verification and 'Know Your Agent' checks.
Experian's 2026 US Identity & Fraud Report, based on consumer and business surveys, found 60% of consumers aware of AI-generated image/video scams, 53% of AI phishing, and 47% of deepfake voice impersonation. 80% of US businesses already use machine learning or generative AI in fraud management, while AI chatbot account openings rose from 16% in 2025 to 27%. The report highlights adaptive authentication, behavioral biometrics, and emerging 'Know Your Agent' controls as AI agents begin acting on behalf of customers.
Week in review: Salesforce and ServiceNow portals exposed for 17 months, exploited Metabase 0-day
Weekly digest: exploited Metabase zero-day breached Framework; Salesforce/ServiceNow portals read for 17 months; Microsoft patched 400+ flaws.
Help Net Security's week in review aggregates top stories: a 'City-Forum' campaign tracked by Reco has been pulling records from Salesforce and ServiceNow portals worldwide for 17 months, and Framework suffered a breach via an exploited Metabase zero-day exposing customer contact and IP data. It also covers Microsoft's August 2026 Patch Tuesday fixing 400+ flaws including exploited zero-day CVE-2026-68820, Cisco's fix for exploited firewall DoS bug CVE-2026-20349 (added to CISA KEV), and a second N-able N-central hotfix for actively exploited CVE-2026-18577. Other items include GitHub expanding Dependabot malware alerts to eight package ecosystems and EU AI Act enforcement beginning on 2 August 2026.
The true cost of a ransomware attack, with and without BCDR
Ransomware's true cost averages $5.08 million per incident versus a $139,875 median ransom, and mature BCDR strategies with immutable backups cut downtime and recovery expenses.
IBM's Cost of a Data Breach Report 2025 puts the average ransomware incident at $5.08 million, far above the $139,875 median ransom payment cited in Verizon's 2026 DBIR. Datto's State of BCDR Report 2025 found 60% of organizations believed they could recover within a day, but only 35% actually did. The Datto-sponsored piece argues mature BCDR with immutable WORM backups shortens downtime, citing a Techify case that restored 19 TB and returned a client to operations in under two hours without paying a ransom. It also flags compliance deadlines such as GDPR's 72-hour breach notification and the SEC's four-business-day disclosure rule.
What must happen for AI’s trillion-dollar gamble to pay off
Hyperscalers need 2.7x productivity gains by 2030 to justify nearly $1.1 trillion in AI data center spending, or risk bankruptcy and capital misallocation.
Wharton finance professor Jessica Wachter estimates hyperscaler AI expenditure will reach nearly $1.1 trillion through 2027 and that a 2.7x productivity increase is needed to break even by 2030. AI revenues of roughly $150-200 billion this year fall far short of about $750 billion in annual spending, with total investment from Alphabet, Microsoft, Amazon, Meta, and Oracle potentially exceeding $5 trillion over four years. Alphabet reported its first free cash flow deficit (about $5.9 billion) since its 2004 IPO due to AI infrastructure costs. Researchers warn that failed demand could make the buildout the largest capital misallocation in history, with depreciating GPU chips risking stranded assets.
Microsoft Offers Up to $30,000 for Critical AI Flaws in Dynamics 365 and Power Platform
Microsoft expands AI bug bounty to Dynamics 365 and Power Platform, paying up to $30,000 for critical inference manipulation flaws.
Microsoft's bug bounty program offers up to $30,000 for critical 'Inference Manipulation' or 'Inferential Information Disclosure' bugs in Dynamics 365 and Power Platform, including Copilot Studio, AI Builder, Power Apps, Power Automate, and Dataverse. Payouts scale by report quality ($30,000/$20,000/$12,000 for critical) with important-severity AI flaws earning $6,000-$20,000, plus 20% multipliers for Dataverse privilege escalation and Plugin Sandbox escapes. Prompt injection affecting only the attacker, hallucinated execution, and system-prompt disclosure are excluded from scope.
What is Proactive Threat Intelligence? | Recorded Future
Recorded Future publishes a vendor explainer on proactive threat intelligence, arguing external adversary context helps teams act before alerts fire.
Recorded Future published a conceptual blog on proactive threat intelligence, describing how external context on adversaries, infrastructure, stolen credentials, and vulnerability exploitation helps security teams act before intrusions surface internally. The piece outlines a four-step program: defining intelligence requirements, collecting external sources including OSINT and dark web, analyzing relevance to the organization, and driving security actions. Use cases include prioritizing CVEs by real-world exploitation activity and identifying external exposure before it becomes an internal incident.
When the Whole Company Adopts AI: What It Does to Your SOC
Analysis of 16.9 million SOC alerts finds AI-related alerts at 0.43%, growing 685% since February, with 94.1% noise and 0.02% real attacks.
A review of roughly 16.9 million SOC alerts found about 73,000 (0.43%) were AI-related, a share that grew 685% between February and June 2026. Of AI-related alerts, 94.1% were noise, 5.8% genuine risks, and 0.02% real attacks; 79.8% received benign verdicts, 81.7% were automatically suppressed, and only 5.4% reached a human analyst. The only confirmed attacks were phishing campaigns that weaponized AI brand names as lures, while developer coding agents spawning shells and reading credential stores routinely tripped detections written before AI agents existed.
The Fraud Ecosystem: A Transition From Known Marketplaces to a Fragmented Environment
Rapid7 analyzes how fraud marketplaces are fragmenting into specialized shops after larger marketplaces were dismantled, aided by new MITRE F3 framework
Rapid7 reports a shift from large known fraud marketplaces to a fragmented environment of smaller specialized storefronts such as Xleet, Blackpass, Infodig, and Styx, operating across dark web channels, Telegram, and P2P options. These Fraud-as-a-Service shops sell stolen accounts, PII, synthetic identity generation, infrastructure, and money laundering support, supporting schemes like business email compromise. MITRE's Fraud Fighting Framework (F3), introduced in early 2026, aims to help security teams prioritize monitoring of fraud TTPs, particularly account takeover techniques. Fraud damages are anticipated to approach hundreds of billions of USD.