Cisco

Speakeasy is an AI control plane for discovering, securing, and governing enterprise AI agents, MCP servers, Skills, and AI applications. It maintains a catalog of approved AI tools, gives each agent an identity through the organization's existing identity provider, and scopes access by team and role. Every prompt, response, and tool call passes through the control plane for real-time policy checks before reaching internal APIs, MCP servers, or SaaS tools. Policies can distinguish read and write access and individual tools; violations are blocked, while allow-or-deny decisions are recorded in an audit trail. The platform is designed to detect and quarantine unapproved MCP connections and to block threats such as prompt injection, PII exposure, and leaked credentials in flight. Speakeasy deploys through an organization's existing MDM, including Jamf and Intune, and integrates with SAML/OIDC identity providers. The page states that it is SOC 2 Type II audited, ISO 27001 certified, GDPR compliant, and HIPAA ready.

Monzo is a UK digital bank and financial-services platform. Its app offers current accounts, joint and children’s accounts, savings, credit cards, investments, pensions and mortgage-related tools, alongside budgeting features such as Pots, Salary Sorter, bill payments, spare-change roundups and cashback. The videos identify Monzo as the bank where the speakers work, while noting that their presentation about trustworthy AI is not made on Monzo’s behalf.

Arize AI is an AI-agent observability, evaluation, tracing, and experimentation platform for diagnosing production behavior and testing changes. It stores production traces, evaluations, annotations, datasets, and experiments, with instrumentation adapters for multiple frameworks and LLM providers. It combines audio, transcripts, and traces in a session view for investigating voice-agent problems such as latency, interruptions, transcription errors, and incorrect tool actions. Its audio workflows use OpenInference semantic conventions to trace real-time audio across providers, run evaluations for sentiment, latency, interruptions, and task success, and attach evaluation results to spans. Its CLI and skills can bring spans and evaluation results into a coding agent's workspace, where the agent can inspect supervisor, specialist-agent, model, and tool calls, create or use evaluators, and run experiments against application failures. Arize AI is the company behind Phoenix, with Arize AX available through its product site and terminal-based setup.

Druid AI is an enterprise AI platform for designing and deploying integrated AI agents and intelligent applications. It orchestrates agents for business processes and critical interactions, including customer support and workflows in banking, insurance, healthcare, higher education, retail, and shared services. The company also presents a performance framework for evaluating deployed agents across configuration, runtime behavior, and governance, using weighted components covering areas such as risk, compliance, observability, mandate, scope, and business outcomes.

Collibra is an enterprise data-governance and AI-governance platform described by its maker as an Enterprise AI Control Plane. It governs context and control across data, models, and AI agents, including structured data and governance workflows for AI systems. In the described unstructured-data workflow, Collibra supports AI-assisted taxonomies and metadata tagging with evidence and confidence scores, sensitive-data detection, duplicate and conflict checks, freshness monitoring, scheduled data-slice refreshes, and generation of context files for coding agents.