Consortium | Vendor Evaluation & Selection

Consortium accelerates AI security decision-making through a vendor-neutral, lab-based evaluation process. We benchmark AI for Security and Security for AI technologies against real-world use cases, validate capabilities hands-on, and measure operational value — not marketing claims. Each assessment confirms how well solutions integrate with your environment, scale to your data volume, and perform against the threats that matter most to you.

In a rapidly evolving market full of bold promises and vendor noise, choosing the wrong AI security platform can lead to costly lock-in, alert fatigue, and unfulfilled ROI. We help teams navigate the landscape with clarity — testing model security platforms, AI-powered detection tools, autonomous agent controls, and more — to ensure investments strengthen security outcomes rather than complicate them.

Through technical validation + business context, we identify which technologies deliver measurable value, reduce complexity, and align with your strategy. The result is confidence — backed by evidence — in what to buy, how to deploy it, and what outcomes to expect.

Objective Evaluation

Vendor claims verified against real criteria — performance, UX, integrations, scalability, detection capability, policy fit, and operational impact.

Outcome: You receive a Vendor Benchmark Report outlining strengths, weaknesses, integration friction, and maturity fit — enabling confidence in technology decisions.

Strategic Alignment

We evaluate solutions against your architecture, risk priorities, compliance requirements, data strategy, and long-term security roadmap.

Outcome: A Capability Validation Matrix showing which vendors best align to your use cases, workflows, and future growth.

Accelerated Decision-Making

Reduce weeks of evaluation down to actionable clarity. Our structured process blends technical rigor with business context, helping teams select the right solution quickly — not through guesswork.

Outcome: A Selection Recommendation Brief with clear vendor justification, gap visibility, and deployment considerations so you can move forward confidently — and faster.

Vendor-Neutral Independence

Recommendations driven by outcomes, not incentives

We evaluate tools based solely on performance and fit — not partnership pressures or commissions. The result: objective guidance focused on what works best for your environment, risk posture, and operating model.

Lab-Based Validation

Real testing, not demonstrations or slideware

We deploy products in Consortium Labs, run structured use-case testing, simulate production workloads, and stress-test integrations. For AI security tools, this includes model scanning validation, prompt-injection testing, and false-positive measurement — so claims are proven, not assumed.

Comprehensive Assessment

Beyond features — we assess real-world viability

We evaluate deployment complexity, scalability, integration effort, licensing models, support readiness, and total cost of ownership. You get clarity not just on what a tool does, but what it takes to run and maintain successfully in production.

Vendor Evaluation & Selection

Make AI Security Decisions with Proof, Not Promises

The Result?