Skip to content
HeyJared

ZeroTrusted ai

ZeroTrusted.ai provides advanced Zero Trust technologies and machine learning to safeguard your network and systems. Our tailored products ensure compliance and achieve genuine Zero Trust Security, granting you a secure and worry-free infrastructure.

YouTube · Official site

Indexed videos, last 90 days
62
Latest publication
Sep 29, 2026
Audience
~65 subscribers
Earliest in this view
Jul 15, 2026

Latest videos

  1. Video · Sep 29, 2026

    OT & Public Safety Drone Security Assessment: secure without disrupting operations | Showcase (opens the original)

    Excerpt · 2 min · 4 views by Sep 30, 2026

    Read excerpt

    Water plants, substations, and public safety drones run on software, radios, and firmware. Can you prove they're secure, without disrupting operations? The ZeroTrusted.ai OT & Public Safety Drone Security Assessment answers in two tracks. The OT track covers Purdue levels 0 to 4: inventory, zoning, protocols, firmware, and configuration. The drone track tests command links, GPS spoofing, firmware, mission controls, Remote ID, and supply chain. In ZeroTrusted.ai AI SOAR, Discovery normalizes each

  2. Video · Sep 29, 2026

    AI FinOps & Cost-Risk Assessment: know what every AI call costs, and risks | Showcase (opens the original)

    Excerpt · Neutral tone · 2 min · 3 views by Sep 30, 2026

    Read excerpt

    Every AI call has a cost, and a risk. Can you say who made it, which model answered, and what it was worth? The ZeroTrusted.ai AI FinOps & Cost-Risk Assessment measures four things: allocate, optimize, compare, and control. The assessment uses two layers. In AI SOAR FinOps, DRM Usage tracks API calls, tokens, and cost with unique users and agents, recent transactions show each operation's tokens in and out, latency, and cost, and Enterprise Scale tracks token cost by customer, user, agent, and m

  3. Video · Sep 29, 2026

    AI Agent Attack Readiness Assessment: detect, stop, and prove containment | Showcase (opens the original)

    Excerpt · 2 min · 21 views by Sep 30, 2026

    Read excerpt

    An autonomous AI agent doesn't stop at the prompt. It moves into identities, clusters, cloud, and source control. The ZeroTrusted.ai AI Agent Attack Readiness Assessment answers three questions: can you detect it, can you stop it, and can you prove you contained it? The assessment tests two layers. The ZeroTrusted.ai AI Firewall enforces policy on prompts, tools, and data: safeguard keywords block jailbreaks and misuse, sensitive data is anonymized before a prompt is sent, domain rules block una

  4. Video · Sep 29, 2026

    AI Firewall Developer API: give your own applications the same protection | Part 15 (opens the original)

    Excerpt · Positive tone · 1 min · 3 views by Sep 30, 2026

    Read excerpt

    Your own applications deserve the same protection as your people. This walkthrough shows the Developer API and API key management in the ZeroTrusted.ai AI Firewall. API Documentation lays out the firewall's APIs by area: Secure AI Prompt, RAG Assistant, AI HealthCheck, Audit Log, Shadow AI, and API Keys. Secure AI Prompt alone has eight endpoints, grouped into detection and anonymization, chat, compliance, reliability, and observability, and Detect Sensitive Keywords, for example, identifies PII

  5. Video · Sep 29, 2026

    AI Firewall AI HealthCheck: catch models that quietly drift | Part 14 (opens the original)

    Excerpt · 1 min · 0 views by Sep 30, 2026

    Read excerpt

    A model that behaved well last quarter might not behave the same way today. This walkthrough shows AI HealthCheck in the ZeroTrusted.ai AI Firewall workspace. AI HealthCheck assesses the performance, reliability, and security of your AI models, and checks that they follow best practices for security and data protection. The Data Drift tab holds completed scans, each pairing a patient model with a state-of-the-art reference model and opening into a full report, including initial auto-configured s

Publishing over time

Last 90 days. Choose a month to open its work.

Recurring subjects

Named in the text we hold. One piece can cover several.

Audience

~65 subscribers

Measured Sep 19, 2026

Source's subscribers, not the number who saw an individual piece.

How this was measured

About this data

Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.

Identity or attribution wrong? Suggest a correction.

See coverage about ZeroTrusted ai