AI Funding, Tools and Training Reshape Finance and Security

Bretton AI, recently rebranded from Greenlite AI, has raised $75 million in a Series B round to scale its artificial intelligence platform across financial crime operations in regulated institutions. The funding, led by Sapphire Ventures, comes nine months after a $15 million Series A in May 2025, lifting total capital raised well beyond the $20 million previously disclosed.

The company offers AI agents that perform core compliance workflows, including know your customer (KYC) and know your business (KYB) reviews, anti-money laundering (AML) and sanctions investigations, and ongoing monitoring. Bretton AI plans to use the fresh capital to expand into additional financial crime domains, deepen engagement with regulators and accelerate adoption among larger, more complex institutions.

CEO and co‑founder Will Lawrence said financial crime is emerging as a breakout AI use case because the work is complex, unstructured and heavily scrutinized. He said the firm has demonstrated that AI agents can operate in production inside highly regulated institutions when built with strong trust and governance foundations. The rebrand to Bretton AI reflects an ambition to define the standard for AI inside regulated financial firms, referencing the Bretton Woods agreement as inspiration.

Since its May 2025 funding, Bretton AI reports that the total market capitalization of companies using its platform has grown from $150 billion to more than $1 trillion, while average customer contract value has risen from $85,000 to $201,000. Sapphire Ventures partner Rajeev Dham said Bretton AI is showing that AI agents can transform compliance teams from cost centers into “force multipliers,” and help define how AI is deployed, governed and audited in the global financial system.

Publicly traded wealth management and tax planning companies came under pressure on Tuesday after privately held Altruist Corp. launched an AI tool that designs tax strategies for clients. The new feature, part of Altruist’s Hazel platform, raised concerns that automated planning could erode demand for some traditional advisory and tax preparation services.

Among the top decliners were firms such as LPL Financial Holdings, while a broader basket of financial stocks also weakened. Separate commentary from market participants linked recent volatility in software and financial services to investor worries that rapidly advancing AI systems could encroach on established business models across advisory, software and insurance segments.

Against this backdrop, training providers are expanding AI-focused credentials to address skills gaps. EC‑Council launched its Enterprise AI Credential Suite in Singapore, introducing four new role‑based AI certifications alongside an updated Certified CISO v4 executive cyber leadership program. The expansion is aligned with Singapore’s National AI Strategy 2.0, which emphasizes talent pipelines and trusted AI deployment.

The suite is structured around EC‑Council’s Adopt. Defend. Govern. (ADG) framework. Artificial Intelligence Essentials serves as a baseline for practical AI fluency and responsible usage, while follow‑on certifications map to adoption, security and governance roles. EC‑Council cited estimates that skills shortages linked to AI could cost the global economy trillions of dollars, and said the programs are intended to build role‑ready capability for real‑world deployments.

In North America, EC‑Council is similarly broadening its AI certification portfolio. A U.S.‑focused launch ties four new AI credentials and Certified CISO v4 to federal priorities on workforce development and applied AI education, including recent executive orders that call for expanded AI learning pathways and job‑relevant skills. The organization pointed to rising AI‑driven attack volumes and participation gaps in AI talent as further justification for structured training.

Security vendors are also responding to the rise of autonomous AI agents that can act across corporate environments. Astrix Security announced general availability of OpenClaw Scanner, a free tool that detects deployments of the open‑source OpenClaw (also known as MoltBot) AI assistant. The scanner is based on read‑only endpoint detection and response telemetry, runs locally, and is derived from capabilities in Astrix’s core platform.

Astrix said OpenClaw and similar agentic assistants can execute commands, access files and authenticate to internal systems without centralized governance. The company noted that independent research recently highlighted exposure and authentication weaknesses in publicly accessible OpenClaw instances, and that its own analysis found misconfigurations in enterprise environments that could enable attackers to gain remote access to employee devices and connect into systems such as Salesforce, GitHub and Slack.

Astrix co‑founder and president Idan Gour characterized autonomous agents as both an automation breakthrough and a source of unprecedented risk. He said the scanner is aimed at giving security teams a low‑friction way to determine whether such agents are already operating inside their networks, as a first step toward broader governance and control.