Skip to content
Shaiex Shaiex /ai-sec

Solutions / Enterprise AI Security

Quantify the AI surface your board
doesn’t know you own.

Shaiex is the sharper edge of enterprise AI security. We continuously discover shadow LLM usage, red-team every model in production, and enforce policy across OpenAI, Anthropic, Bedrock, Vertex, and self-hosted stacks — from a single control plane.

  • 4.8× more shadow LLM endpoints detected vs. nearest competitor (MITRE ATLAS, 2024)
  • 11 min median time-to-policy-enforcement vs. 9-day industry average
  • 99.97% platform uptime over the trailing 12 months

By buying role

Four roles. Four failure modes. One control plane that absorbs them.

Each persona on your buying committee owns a different blast radius when generative AI ships without governance. Shaiex maps capability to the job-to-be-done, not the feature list.

CISO / Head of Security Architecture

Shadow LLM sprawl you can’t see

Business units spin up OpenAI, Anthropic, and Bedrock workspaces without procurement. The CISO inherits the audit findings, not the budget.

Shaiex Discover maps every LLM endpoint — sanctioned and shadow — in hours, with model, region, and owner attributed.

Endpoints discovered
4.8× nearest competitor
Time to first inventory
< 24 hours

Head of AI / ML Engineering

Prompt injection in production

Adversarial payloads reach the model through documents, tool calls, and retrieval corpora. The AI leader owns the regression, not the red team.

Shaiex Defender, with our patented prompt-injection firewall (USPTO #11,984,221), blocks 99.4% of OWASP LLM Top-10 payloads at the edge.

Block rate
99.4% (OWASP LLM Top-10)
Policy lag
11 min median

GRC / AI Risk Officer

Evidence that survives an audit

Frameworks are multiplying — SOC 2, ISO 27001, ISO/IEC 42001, EU AI Act, NIST AI RMF. GRC owns the spreadsheet that proves the controls actually ran.

Shaiex Assure exports auditor-ready evidence with control lineage, model inventory, and policy enforcement logs — across all three certifications Shaiex holds.

Certifications
SOC 2 II + ISO 27001 + ISO/IEC 42001
Auditor
Schellman & Co.

General Counsel

Liability when the model hallucinates

The GC owns the contractual and regulatory exposure when customer PII, regulated data, or third-party IP leaves the perimeter through a prompt.

Shaiex Defender enforces data-layer DLP, output redaction, and jurisdiction pinning across every model in the stack — with a tamper-evident audit trail counsel can produce.

Stack coverage
OpenAI · Anthropic · Bedrock · Vertex · self-hosted
Trail integrity
Tamper-evident, signed

By regulated industry

Reference deployments inside the environments your auditor already knows.

Shaiex is live across 312 enterprise customers in financial services, healthcare, life sciences, and federal contracting. The four below are representative deployments — verticals where the policy outcome, not the demo, is what closes the deal.

Healthcare · integrated delivery network

Clinical summarization copilot, HIPAA-aligned by contract.

A regional IDN rolled out Shaiex Defender in front of an ambient scribe model to enforce PHI redaction on output and jurisdiction pinning on retrieval.

Stack
Azure OpenAI · Anthropic
Outcome
0 PHI egress incidents post-go-live
Controls
PHI DLP, audit log, retention pinning

Life sciences · top-10 pharma R&D

Trial-protocol drafting protected from prompt injection.

Shaiex RedTeam continuously probes the protocol-drafting model against OWASP LLM Top-10 and proprietary benchmarks; Defender enforces at inference.

Stack
Vertex · self-hosted
Outcome
99.4% payload block rate
Controls
Prompt-injection firewall, GxP evidence

Federal contracting · cleared integrator

FedRAMP Ready path. 41 cleared engineers on the build.

Shaiex is deployed inside a cleared integrator’s mission system with all customer data remaining in customer-controlled enclaves. FedRAMP Moderate is in process.

Stack
Self-hosted (air-gapped) · Bedrock GovCloud
Outcome
ATO-ready evidence pack
Personnel
41 cleared engineers (TS/SCI or NATO equivalent)

312 enterprise customers live. 9 of the Fortune 100. 3 of the top 5 U.S. health insurers. 2 of the Big Four. Backed by $58M (Lightspeed 2022, Greylock 2024). — All solutions →

Procurement Math

The four numbers that defend a $250K line item.

Forrester TEI, MITRE ATLAS, and 12-month platform telemetry — measured, not modeled. Pull these into your next budget review.

  1. $4.2M Average customer ROI per $250K contract Forrester Total Economic Impact, March 2024
  2. 11min Median time-to-policy-enforcement vs. 9-day industry average 612 enterprise rollouts, 2024
  3. 4.8× More shadow LLM endpoints detected than the nearest competitor Independent MITRE ATLAS evaluations, 2024
  4. 312 Enterprise customers live across financial services, healthcare, life sciences, and federal Shaiex production telemetry, Q1 2025
Book a Demo 99.97% trailing-12-month uptime · status.shaiex.net
Stack Consolidation

One agentic deployment replaces the 3–4 vendor stitch.

Most enterprises assemble a CASB, a DSPM, an AI gateway, and a red-team consultancy to cover generative AI in production. Shaiex folds those controls into a single control plane — model layer, data layer, output layer — covered by one deployment.

Capability
Typical 3–4 Vendor Stack
Shaiex Single Agent
Shadow LLM discovery Continuous enumeration of unmanaged endpoints
CASB + manual audit Quarterly scans, signature lists; misses browser-based and SDK-embedded models.
Shaiex Discover Discovers 4.8× more shadow endpoints than the nearest competitor in MITRE ATLAS 2024.
Prompt-injection & data-layer firewall Inline enforcement at model and data boundaries
AI gateway vendor Covers OpenAI and Anthropic only; blind to Bedrock, Vertex, and self-hosted stacks.
Shaiex Defender Patented firewall (USPTO #11,984,221) blocks 99.4% of adversarial payloads across all five model providers.
Adversarial red-team in production Continuous model-layer and output-layer testing
External consultancy Point-in-time engagements, 6–9 week lead time, $180K–$400K per assessment cycle.
Shaiex RedTeam 27 peer-reviewed LLM threat-modeling papers since 2021; OWASP LLM Top-10 coverage on demand.

Consolidated into one deployment, one identity boundary, one audit trail. Compliance posture rolls up to SOC 2 Type II, ISO 27001, and ISO/IEC 42001 (AI Management System) — audited by Schellman & Co.

Procurement & Architecture Review

Five questions enterprise buyers ask before booking.

If your security architecture review or procurement office has raised any of these, the answers below are the same ones a Shaiex solutions architect will give on the call.

Which model providers and deployment patterns does Shaiex actually cover?

Shaiex enforces policy uniformly across OpenAI, Anthropic, AWS Bedrock, Google Vertex, and self-hosted stacks (vLLM, TGI, Triton, and private Azure ML endpoints). Coverage extends to embeddings, fine-tuned adapters, and agentic tool calls — so a single agent covers model-layer, data-layer, and output-layer controls. Customers typically retire 3–4 point products after a 90-day overlap window.

How long does an enterprise rollout actually take from contract to enforcement?

Median time-to-policy-enforcement is 11 minutes against an industry average of 9 days, measured across 612 enterprise rollouts in 2024. Full coverage — Discover, Defender, Assure, and RedTeam — lands inside one quarter for most customers; FedRAMP-authorized environments run on a parallel track with our compliance team.

What is Shaiex's current compliance and audit posture?

SOC 2 Type II (2022), ISO 27001 (2023), and ISO/IEC 42001 — the AI Management System standard — in 2024. Shaiex is the first AI-security vendor to hold all three, audited annually by Schellman & Co. The platform is FedRAMP Ready and actively pursuing Moderate authorization. HIPAA alignment is contractual rather than certified, and is delivered via a Business Associate Agreement on request.

Where does our prompt and response data live, and who can see it?

Customers select a primary region at provisioning — U.S., EU, or a sovereign option in Tel Aviv for regulated workloads. Shaiex does not train on customer prompts, responses, or embeddings; telemetry for policy decisions is hashed at the edge. Data residency, retention windows, and per-key access controls are exposed in the console and surfaced in the quarterly SOC 2 report.

How is Shaiex priced for a mid-market or enterprise deployment?

Annual platform licensing is structured around covered employees, managed model endpoints, and red-team engagement hours — never per-prompt, which would penalize legitimate usage. Enterprise contracts typically start at $250K and include Shaiex Discover, Defender, Assure, and RedTeam under one SKU. The Forrester TEI study (March 2024) recorded an average customer ROI of $4.2M against that contract value.

Book a Demo Or reach the team at [email protected] · +1 (737) 555-0142