Analysis on enterprise AI governance, inline policy enforcement, agentic AI security, and regulatory compliance.
Cisco AI Defense pricing is sales-led for the enterprise platform. Cisco publishes a request-a-demo route and a public Explorer Edition for application red teaming, but its product and data-sheet pages show no numeric enterprise rate. A useful quote separates cloud visibility, supply-chain scanning, model and application validation, runtime protection, deployment points, support, and evidence requirements.
Read post →Otter states that it trains proprietary AI technology on de-identified audio recordings and on transcriptions that may contain personal information. Its Enterprise page advertises an organization-level AI model training opt-out available through an account manager. Buyers should separate that opt-out from transcription processing, retention, sharing, and the terms governing aggregated or de-identified data.
Read post →Prisma AIRS pricing follows a demo-led Palo Alto Networks sales path, with no numeric amount on the reviewed platform and AI Runtime Security pages. The portfolio spans AI posture, model and supply-chain security, runtime protection, AI gateway controls, and agentic endpoint security. Buyers need a quote that separates modules, protected applications and agents, deployment paths, capacity, support, retention, and services.
OpenAI Moderation API alternatives differ by provider boundary. Azure AI Content Safety offers separate text, image, prompt-attack, and related safety APIs. Amazon Bedrock Guardrails applies configured safeguards around Bedrock workloads. Google Cloud Model Armor screens prompts and responses across supported integrations. Mistral supplies raw-text and conversational moderation endpoints. DeepInspect adds identity-bound policy for authenticated HTTP LLM traffic.
Read post →Mindgard pricing follows a demo-led sales path with no numeric amount on the public platform and demo pages reviewed. The platform spans discovery and reconnaissance plus automated red teaming and assessment. It also covers runtime protection and threat response alongside continuous assurance. A useful quote must identify which modules, applications, agents, environments, test cadence, runtime paths, support terms, and evidence obligations are included.
Read post →Lasso Security alternatives divide by enforcement boundary. Noma Security emphasizes agent discovery and control through existing infrastructure. Harmonic covers employee and agent usage with browser and endpoint controls. Prompt Security argues for browser and endpoint sensors, while agentgateway provides an open-source gateway for agent protocols. DeepInspect governs authenticated HTTP traffic sent to LLM endpoints.
Gemini Enterprise and ChatGPT Enterprise are hosted work surfaces with identity, permissions, connected systems, and audit controls inside their provider-managed environments. Google emphasizes one agent across business applications under existing permissions. OpenAI documents workspace groups, hosted Work Cloud execution, connected accounts, and Compliance API records. The buying decision should test access inheritance, hosted execution, evidence coverage, and the routes an enterprise gateway can actually inspect.
Read post →ChatGPT Enterprise and Microsoft 365 Copilot both exclude commercial customer prompts and responses from foundation-model training, but they attach to different control planes. ChatGPT Enterprise centers on an OpenAI workspace, its apps, retention settings, and Compliance API. Microsoft 365 Copilot works inside the Microsoft 365 service boundary, uses Microsoft Graph permissions, and writes interaction records into Microsoft Purview Audit.
Grammarly can use content for model training and product improvement, but the default depends on the account and purchase route. Individual accounts start with training on. Sales-purchased Business, Pro, Education, and Enterprise accounts start with it off. Website-purchased multi-user teams start with it on until an administrator changes the organization setting. Training control also differs from tailored assistance.
Read post →Gong holds SOC 2 Type II certification and ISO/IEC 42001:2023 certification for AI management, states that customer conversation data is never used to train its generative models, and lets each customer configure retention themselves. This covers what Gong's Trust Center answers and what it does not: which authenticated identity triggered a specific AI request, what conversation content it carried, and whether a policy decision on that request is provable independent of Gong's own systems.
Codex data-use rules depend on the route. Codex Cloud inspects selected repositories and executes tasks in OpenAI-managed workspaces. Business, Enterprise, and Edu workspace data is excluded from model training by default. Direct OpenAI API data is also excluded unless the customer opts in, while retention depends on abuse-monitoring settings and endpoint state. A useful approval names the execution surface, account, repository, retention control, connected services, and training rule.
Read post →Codex has a conditional HIPAA answer. Codex Local can transmit PHI to OpenAI under a BAA when it is signed into an eligible ChatGPT workspace. An API route requires BAA coverage for API Services with Modified Retention. OpenAI excludes Codex Cloud from BAA coverage, and its BAA also excludes local client execution and third-party services accessed by Codex. Approval therefore belongs to a named route, account, configuration, and task rather than the Codex brand.
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