Analysis on enterprise AI governance, inline policy enforcement, agentic AI security, and regulatory compliance.
A self-hosted AI gateway gives the enterprise custody of routing configuration, credentials, policy code, telemetry, and failure behavior. It does not move an external model provider inside the network. Buyers should test egress, identity propagation, fail-closed behavior, log custody, upgrades, and bypass routes before calling the deployment private.
Read post →Glean permissions come from several control planes: source-system access lists, indexed snapshots, live authorization checks, Glean administrator roles, and agent-sharing rights. Connector mode determines when source permission changes take effect. Buyers should test revocation, domain-shared documents, and published agents as separate cases.
Read post →BYOK for an LLM gateway can mean a team-level stored provider credential, a request-scoped credential, or a customer credential used before platform fallback. Those modes change the bill payer, rate limit, approved provider account, and audit trail. A sound design records which credential path served every request without exposing the secret.
Weights & Biases Weave pricing now sits inside CoreWeave Forge. Free includes 1 GB of monthly ingestion, Pro starts at $60 per month with 1.5 GB, and Enterprise is quoted. The expensive detail is the ingestion meter: trace metadata, prompts, responses, and explicitly logged fields all count when stored.
Read post →Article 22 of the GDPR gives data subjects the right not to be subject to a decision based solely on automated processing that produces legal effects or similarly significant effects. AI and LLM-driven workflows that screen candidates, approve credit, set insurance prices, or trigger fraud holds fall inside the article when no meaningful human review breaks the chain. The control that survives a regulator review proves identity of the human reviewer, classification of the input data, the policy state at decision time, and the outcome returned. This walkthrough covers the article text, the meaningful-human-review test, and the audit-record content that satisfies a Data Protection Authority.
Read post →These 38 AI vendor security questions test model coverage, provider retention, identity handling, per-decision audit records, policy enforcement, prompt injection, data residency, regulatory alignment, and incident response. Each names the evidence a procurement review should demand.
Dropbox Dash audit logs need to answer a narrower and harder question than who opened a file: what source material was assembled for an AI answer, which authenticated person requested it, and which policy was in force. This article separates Dash and source-system evidence from the HTTP model-call record needed to reconstruct an answer.
Google Model Armor pricing starts with 2 million free tokens each month, then charges $0.10 per additional 1 million tokens on the public pay-as-you-go path. Security Command Center subscriptions include 3 billion tokens per month, and Gemini Enterprise includes Model Armor. Buyers still need to model prompt and response volume, integration paths, quotas, file and token limits, logging and support plus adjacent cloud costs.
Read post →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.
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