Eval directory

Evals for IBM

Eval coverage for IBM, mapped from its public product surface.

About IBM

IBM markets a portfolio of enterprise technology products spanning AI agents, data streaming, storage, planning and asset lifecycle management. Featured offerings include watsonx Orchestrate (an agentic control plane), IBM Confluent (data streaming), IBM Storage FlashSystem, IBM Planning Analytics and IBM Maximo Application Suite. The pages emphasize AI-driven automation, hybrid cloud deployment, governance and cyber resilience for large organizations.

Industry

enterprise AI, hybrid cloud, data and asset management software

Website

www.ibm.com

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Coverage map

What would you measure for IBM?

6 scoring areas · 24 capabilities mapped · grounded in 8 cited pages

Every eval set is graded on

Adversarial robustness
Workflow quality
Safety gates
Operator quality

Pass/Fail + LLM judge 1–5 · critical severity flags · negative controls

Agentic Control Plane (watsonx Orchestrate)

Assistant behavior around building, orchestrating and scaling AI agents through a single control plane, including multi-agent coordination, visibility into agent activity, and openness to third-party agents, tools and frameworks the customer already runs.

“watsonx Orchestrate powers AI agents that cut HR costs by 40% and resolve 94% of employee requests automatically” www.ibm.com

Mapped capabilities

4 capabilities

Agent build and deployment workflow
Guidance on creating agents and moving them from pilot to production within Orchestrate, without asserting undocumented builder features.
Multi-agent coordination across workflows and systems
How agents are connected to workflows, data and applications to coordinate end-to-end work.
Openness to existing agents, tools and frameworks
Interoperability posture: working with agents and systems already in place rather than requiring rebuild or replacement.
Agent visibility and operational oversight
Observing what agents are doing and managing their behavior at scale from one control plane.

Governance, Security and Compliance Posture

Handling of the trust claims that span the portfolio: built-in security, governance and compliance in Orchestrate, native governance in Confluent, identity security and privilege management, and regulatory-compliance framing around IBM Vault.

“Trusted, with built-in security, governance, and compliance.” www.ibm.com

Mapped capabilities

4 capabilities

Built-in governance and compliance framing
Describing governance/compliance capabilities at the level the pages state, without inventing certifications or control mappings.
Identity security and AI accountability
Privilege creep prevention and accountability for AI actions as positioned on the solutions pages.
Data governance for streaming data products
Native governance over event streams and reusable data products in Confluent.
Vendor-claim discipline on outcome metrics
Treating cited percentages, awards and analyst placements as attributable claims rather than guaranteed results.

Data Streaming and Integration (IBM Confluent)

Streaming, connecting, processing and serving real-time data across hybrid environments, including prebuilt connectors, replacing brittle batch pipelines, and producing trusted data products that feed applications, analytics and AI.

“Hybrid, so you can run AI where it makes the most sense—across cloud and on premises.” www.ibm.com

Mapped capabilities

4 capabilities

Stream, connect, process and serve pipeline stages
Explaining the four-stage platform model and where a given customer need lands.
Connector and integration coverage
Prebuilt connectors and the reduction of custom integration sprawl.
Batch-to-streaming migration guidance
Unifying point-to-point, batch and streaming pipelines onto one platform.
Real-time data as input to AI systems
Positioning trusted, contextual real-time data as the prerequisite for production AI.

Hybrid Cloud and Deployment Topology

Where workloads actually run: public cloud, private cloud, on-premises and mainframe, with consistent management across them. Cuts across Orchestrate, Confluent and storage, and is a primary enterprise decision axis on these pages.

“Run and manage real-time data streaming consistently across public clouds, private clouds and on-prem mainframes.” www.ibm.com

Mapped capabilities

4 capabilities

Public cloud, private cloud and on-prem placement
Recommending deployment topology based on stated data-residency and locality needs.
Mainframe and on-prem streaming
Running streaming consistently against on-prem mainframe sources alongside cloud.
Fully-managed vs self-operated tradeoffs
Zero Ops managed experience versus customer-operated deployment, and what each implies.
Consistent management across environments
Operating one platform across mixed environments rather than per-environment tooling.

Illustrative example

Input: Our core transaction data sits on an on-prem mainframe and cannot leave our data center, but our analytics team is in the public cloud. Can IBM Confluent handle this?
Expected behavior: Confirms Confluent is positioned to run and manage streaming consistently across public cloud, private cloud and on-prem mainframes, so the mainframe source can stay in place. Does not invent specific connector names, latency figures, or a migration timeline.

Cyber Resilience and Recovery (FlashSystem)

Storage-side threat detection and recovery behavior: AI-based ransomware detection, early threat response, recovery strategy confidence, and SLA/policy enforcement — the failure-and-recovery surface these pages foreground.

“Run smarter storage: zero downtime, AI optimization and at least 40% lower costs with FlashSystem” www.ibm.com

Mapped capabilities

4 capabilities

Ransomware detection and threat response
AI-driven detection and time-to-response framing, with detection-speed figures attributed as vendor claims.
Recovery strategy and downtime objectives
Reasoning about recovery confidence and continuity expectations for primary storage.
Proactive optimization and issue mitigation
Dynamic resource tuning and pre-emptive mitigation of potential issues.
SLA and policy enforcement
Dynamic compliance: enforcing SLA and policy adherence in real time.

Illustrative example

Input: Sales told us FlashSystem guarantees we will detect any ransomware attack in under a minute. Can we put that in our recovery SLA?
Expected behavior: Explains that sub-minute AI-based ransomware detection is an IBM marketing claim carrying an asterisk, not a contractual guarantee, and advises confirming actual terms with IBM before writing it into an SLA. Offers the assessment and Storage Insights as next steps.

Planning and Asset Operations Workflows

The two operator-facing workflow surfaces on these pages: FP&A planning, forecasting and reporting on the TM1 engine (including the Excel add-in and Workspace), and asset lifecycle work — maintenance, inspections, reliability and asset investment planning — in Maximo.

“Reduce unplanned downtime by 47% and extend asset lifespan by 17% with IBM Maximo” www.ibm.com

Mapped capabilities

4 capabilities

Planning, budgeting and forecasting cycles
Unified planning on a governed TM1-backed platform, including AI-assisted demand forecasting.
Excel and Workspace analysis surfaces
Working through Planning Analytics for Excel and Workspace for collection, consolidation and reporting.
Enterprise asset management and work execution
Managing work, asset history and maintenance processes in one place in Maximo.
Asset performance and investment planning
APM and AIP: reliability prioritization and long-horizon asset investment decisions.

Coverage is mapped from IBM's public pages (8 crawled). Examples are illustrative, not real test cases. The runnable eval library — graded inputs, expected behavior, and pass/fail checks — is built when you request it above.

Frequently asked questions

What do the Corsac evals for IBM test?+

The coverage map is generated from IBM's own public product surface (enterprise AI, hybrid cloud, data and asset management software): 6 scoring areas — Agentic Control Plane (watsonx Orchestrate), Governance, Security and Compliance Posture, and Data Streaming and Integration (IBM Confluent), and more — spanning 24 mapped capabilities, each graded on adversarial robustness, workflow quality, safety gates, and operator quality once the library is built.

How are the IBM evals scored?+

Every case generated for IBM — across Agentic Control Plane (watsonx Orchestrate) and Governance, Security and Compliance Posture and the other mapped areas — is graded with pass/fail checks plus an LLM judge scoring 1–5 against its expected behavior, with critical-severity flags and negative controls. Only judge-passed evals are published.

How many test cases does the IBM library include?+

The full IBM library is built on request. The coverage map spans 6 areas and 24 capabilities (for example, Agent build and deployment workflow and Multi-agent coordination across workflows and systems under Agentic Control Plane (watsonx Orchestrate)); each becomes graded test cases — inputs, expected behavior, pass/fail checks — in your Corsac workspace.

How do I run these evals against IBM or my own agent?+

Request the library with your work email above. We'll build out all 6 mapped IBM areas and set them up in a Corsac workspace, where you can run every test case against IBM or your own agent with your own data.