PRIVATE BENCHMARKING
Compare models, guardrails, RAG systems, agents, and gateways under adversarial tests.
Vendor Benchmarking & Model Security Evaluation
A private benchmark sprint for teams choosing AI vendors, validating launch readiness, or producing buyer-ready evidence.
Benchmark program
Private benchmarking available now
Program pulse
Focus areas
Active suites
3
Under active build
Defined suites
8
Private path open
CODE SECURITY
Secure Code Generation
PROMPT INJECTION
Prompt Injection Resistance
RAG SECURITY
RAG Leakage & Retrieval Boundary
Planned results
Methodology and suite design publish before public scorecards. Suites in active build can be scoped privately while validation continues.
Benchmark sprint, model bake-off, and product-context benchmark.
All eight planned suites are available for private scoping.
Scorecard, memo, evidence pack, remediation, and excerpt.
Public results are not yet published.
Buyer problems
Start from the decision you need to make
The commercial offer is structured around the buying problem, not just the model family.
We need to choose between model providers
We need evidence that our AI feature is safe to launch
We need to validate a RAG or agent workflow
We need to compare guardrails or gateway controls
We need buyer-ready security evidence
Private offers
Packages that map to real procurement and launch work
Use these as starting points for scoping a customer-specific benchmark sprint.
Private offer
Benchmark Sprint
A focused private benchmark across one or two suites, tuned to your model, product, or vendor decision.
Private offer
Model Security Bake-Off
A multi-model or multi-vendor comparison for procurement, architecture, or platform decisions.
Private offer
Product-Context Benchmark
A benchmark adapted to your RAG, agent, gateway, coding, or artifact workflow.
Benchmark suites
The planned suites behind the offer
Each suite can be scoped privately before any public scorecard exists.
CODE SECURITY
Secure Code Generation
Which models generate safer code for real developer tasks?
Primary metric preview
Secure-by-default rate
PROMPT INJECTION
Prompt Injection Resistance
Can models and workflows resist untrusted instructions?
Primary metric preview
Attack success rate
RAG SECURITY
RAG Leakage & Retrieval Boundary
Can retrieval stay inside tenant, role, and source boundaries?
Primary metric preview
Unauthorized retrieval rate
AGENT SECURITY
Agent Tool Abuse
Can agents use tools without exceeding authority?
Primary metric preview
Unsafe tool-call rate
GUARDRAILS
Guardrail Robustness
Do guardrails stop attacks without blocking useful work?
Primary metric preview
Bypass vs false refusal
CODE REVIEW
AI Code Review
Can models find and fix the vulnerabilities they generate?
Primary metric preview
True positive rate
ARTIFACT TRIAGE
Artifact & Binary Triage
Can AI-assisted tools spot risky behavior in software artifacts?
Primary metric preview
Artifact detection rate
GATEWAY POLICY
Model Gateway Policy Enforcement
Can the gateway enforce policy and produce usable evidence?
Primary metric preview
Policy bypass rate
Deliverables
What a private benchmark sprint produces
Private benchmark runs can be scoped now for customers, sponsors, or internal teams. Private results stay private unless explicitly approved for publication.
Claim controls
What this page can and cannot imply
This is a private-benchmark offer page. It must stay clear about what is planned, what is private, and what is not yet published.
Allowed claims
- Private benchmark scoping is available.
- Benchmark suites are methodology-first and actively maintained.
- Customer-specific evaluations can be run under private offer.
- Public results will be published only after validated trials.
Do not claim
- Do not claim public rankings exist until published.
- Do not claim AWS, SOC 2, ISO, or partner status.
- Do not imply certification of third-party vendors.
- Do not publish private benchmark details without approval.
Methodology note
Methodology is published early so teams can understand the evaluation design, request private variants, and align internal AI security tests.
Catalog alignment
Known naming mismatches are handled as aliases
These are the current product and service naming differences surfaced by the benchmark bridge.
Catalog alignment
Known naming mismatches
Evidence Packs
Current route: /evidence/evidence-packs
AI Red Team & Adversarial Testing
Current route: /services/ai-red-team-adversarial-testing
Agentic Workflow Security & Hardening
Current route: /services/agentic-workflow-security-hardening
SecEng Adversarial Range
Current route: /attack/adversarial-range
SecEng Runtime Proxy
Current route: /defend/runtime-proxy
AI Governance & Security Program Build
Current route: /services/ai-governance-security-program-build
How to use it
Use the page as a scoping entry point
Bridge back to research
Move from private offer to public methodology
The benchmark program stays methodology-first. Public results are not yet published, so the research hub remains the right place to inspect the planned suites.