Ai Governance

NEW YORK – October 29, 2026 -- Forty percent of enterprises now allow AI systems to execute decisions without human approval, at least to a moderate degree, while 23% say accountability is unclear when AI produces a negative outcome, according to the Deloitte AI Institute's latest "State of AI in the Enterprise" report.

The survey covered 3,500 director to C-suite leaders across 25 countries and six industries, all directly involved in their companies' AI initiatives. It was conducted between May and June 2026.

Speed gains are widespread, but only 25% are transforming their business

Some 81% of companies report faster decision-making and execution from AI. Only 25% say they use AI to deeply transform the business by creating new products or services, reinventing core processes, or changing business models. For most respondents, AI accelerates existing workflows without changing the work itself.

Wilmington – October 29, 2026 -- Brand Engagement Network (NASDAQ: BNAI) Co-Founder and Chief Scientist Dr. Patrick Nunally, who holds more than 160 patents, will speak at a Vatican City discussion on artificial intelligence on Friday, Nov. 20, 2026, at 2:30 p.m.

Three-speaker panel responds to Pope Leo XIV's first encyclical

The session, titled "Artificial Intelligence & the Human Spirit," will address faith, technology and the reflections on AI in Pope Leo XIV's first encyclical, Magnifica Humanitas. Nunally will appear alongside Jonathan Pageau, an Orthodox thinker, artist and commentator, and Dr. Hank Wuh, a surgeon, inventor, investor and World Economic Forum Technology Pioneer.

Robert Moynihan, founder and editor-in-chief of Inside the Vatican magazine, extended the invitation. The panel closes three days of gatherings in Rome, Nov. 18 to 20, of AI pioneers, entrepreneurs and thinkers. International media are expected to attend.

San Francisco – October 29, 2026 -- Kong Inc. has become a founding member of the ServiceNow Control Tower Alliance, an ecosystem of AI, cloud infrastructure, security, governance, value measurement and token metering companies that will work with ServiceNow on enterprise AI adoption at scale.

Alliance centers on ServiceNow's Super Intelligence Control Tower

The alliance is built around the ServiceNow Super Intelligence Control Tower, a centralized control plane to discover, secure, govern, observe and measure enterprise AI. Kong will work with ServiceNow and the other founding members to extend security and governance to the models, tools and agents that AI applications depend on.

Kong CEO and co-founder Augusto Marietti said "AI governance depends on enforcing what agents can access and do."

Darmstadt – October 29, 2026 -- Only 30% of German companies have governance structures suited to agentic AI, according to figures cited by Gregor von Jagow, Senior Director and Country Manager Germany at Red Hat. He argues that open technology, not new vendor dependencies, is the route out of the pilot phase.

Von Jagow says building AI agents is no longer the main hurdle. The challenge is deploying them productively: integrating them reliably into existing business processes, limiting their access to defined areas and meeting security requirements.

Missing exit strategies restrict service access at 57% of firms

Many companies struggle to move agents beyond pilot projects. Scaling requires clear access rights, defined responsibilities and the ability to prevent unwanted agent behavior. The cited data also shows that 57% of companies face restricted access to some services because they lack an exit strategy for switching providers.

Global – October 29, 2026 -- Alteryx argues that unpredictable output, not token cost, is the main barrier to scaling AI agents in the enterprise: the same request to a large language model can return a different answer each time.

Token burn rises with agent complexity, but variance is the bigger problem

Agents must reason through business logic, infer context, read results and choose the next action, sometimes several times in a single instance. Restarting a process or re-deriving business logic adds to token costs. Alteryx says the larger obstacle is that LLMs generate outputs from a probability distribution. In its words, "you cannot scale a business on randomness."

NORTH AMERICA – October 29, 2026 -- Finance leaders now answer for both AI trust and AI spending. In Deloitte's Finance Trends 2027 survey of more than 1,400 finance leaders, 48% oversee AI trust, covering the reliability, accuracy and explainability of AI output, and 48% manage AI spending and cost controls. More than two-thirds of the leaders holding these responsibilities took them on within the past three years.

Most organizations split the two duties by default. Cost went to a workstream built on usage dashboards and approval gates, and trust went to another built on governance frameworks and model policies. Alteryx argues that this split is the costly mistake.

Global – October 29, 2026 -- An enterprise running 9,000 AI agents can still miss measurable business outcomes if those agents handle tasks that structured workflows could run more efficiently, according to AppsTek Corp, which builds enterprise AI on Oracle platforms.

Workflows run predictable rules while agents handle uncertainty

A workflow executes a predefined sequence of business logic, while an AI agent decides parts of that sequence as work progresses. Workflows move invoices, validate records, route approvals and trigger integrations. Agents interpret context, select tools and retrieve knowledge once uncertainty enters a process. Choosing the highest level of autonomy every time usually raises cost without raising value, AppsTek argues.

Global – October 29, 2026 -- Snowflake has put metadata connectors for 18 data, BI and pipeline sources into public preview as part of Horizon Context, a governed context layer inside Horizon Catalog designed to give AI agents and analysts shared business definitions.

Snowflake introduced the layer at Snowflake Summit. It collects metadata, enriches it with business meaning and exposes it to people, BI tools and AI agents. Snowflake's stated aim is to stop teams from rebuilding definitions, such as what counts as customer retention, for every new AI use case.

Connectors cover 18 sources including Power BI, Tableau and Databricks

The supported list spans databases, BI tools and data pipeline tools: Power BI, Tableau, Looker, Sigma, Hex, dbt, SQL Server, Oracle, PostgreSQL, Databricks and BigQuery. Depending on the connector and its configuration, Horizon Context collects schemas, query logs, dashboard definitions and usage signals.

Charleston – October 29, 2026 -- Blackbaud (NASDAQ: BLKB) has received three verification badges from the Responsible AI Institute for its Blackbaud AI offering, covering agentic AI, generative AI and machine learning.

Responsible AI Institute assesses Blackbaud AI against NIST, ISO/IEC and OWASP frameworks

The badges follow an independent assessment of Blackbaud's responsible AI practices. The review was aligned to the NIST AI Risk Management Framework, ISO/IEC standards and OWASP guidance for large language models.

Carrie Cobb, Blackbaud's chief data and AI officer, said "trust matters more than ever" as organizations weigh AI's opportunities and risks. She described the company's approach as built on transparency, practical safeguards and continuous improvement.

BASKING RIDGE – October 29, 2026 -- Ascendion, an AI-native software engineering company serving 250+ enterprise clients, has appointed four former senior executives from banking, retail, high-tech and industry bodies to its AI Advisory Community as it steers its AAVA platform toward governed, production-scale enterprise AI.

The appointees are Andy Gamble, Jack Madrid, Julieta Ross, Ph.D., and Joseph Sirosh, Ph.D. Their combined experience spans banking, high-tech, media and retail. Each will work directly with Ascendion's regional and engineering leaders.