Methodology used by Google · Cisco · Microsoft · Trend Micro
NeurIPS '24 Spotlight
AI SecurityEvaluation forEnterprises.
Avoid costly AI failures before they reach production.
Evidence of AI security. Not vibes.
CredencePlus is the crash-test rig for AI security tools: evaluation-as-a-service for AI SOC workflows that finds where models fail before those failures reach production.
Measure
Hallucinations, unsafe tool calls, workflow stalls, and silent performance degradation.
Compare
Vendors, copilots, agents, versions, or internal workflows against the questions that matter to buyers.
Prove
Give board, audit, risk, and procurement teams evidence that moves deployment decisions.
Cut through the noise with measurable proof
30+
AI security models and workflows evaluated
100 -> 5 hrs
Manual evaluation time compressed into repeatable runs
Board-ready
Evidence for security, audit, procurement, and leadership
Failure Coverage
What breaks. What you get.
What Others Miss
- Agent stalls mid-workflow after a promising start
- Hallucinated IOCs and unsupported actor attributions
- Unsafe or irrelevant tool calls inside critical workflows
- Silent quality drift after model or prompt updates
What You Get
- A single CredenceScore with dimension-level breakdowns
- Documented failure modes tied to reproducible test cases
- Board- and auditor-ready evidence for deployment decisions
- A blind-spot map by threat type, workflow stage, and operational risk
What CredencePlus Evaluates
The failures that matter in production security workflows
We evaluate AI security tools across real SOC workflows to show what holds up, what breaks, and whether the product creates measurable operational value.
Hallucinations and unsupported claims
Catch fabricated indicators, misleading recommendations, and conclusions that are not grounded in the available evidence.
Tool misuse and unsafe actions
Measure when copilots or agents call the wrong tool, take the wrong step, or overreach in ways that create operational or governance risk.
Workflow stalls and handoff failures
Identify where systems freeze, loop, abandon context, or force analysts into manual recovery during critical moments.
Triage and investigation quality
Score whether the system helps analysts prioritize alerts, build timelines, summarize evidence, and move cases forward accurately.
Correlation and threat hunting depth
Test whether models connect the right signals, preserve context across steps, and support hunts without inventing patterns or missing weak signals.
Reasoning and workflow completion
Validate whether claims are traceable to evidence and whether the workflow actually completes end to end instead of just looking plausible at the start.
Trust The Method
Independent, reproducible evaluations for AI security workflows
CredencePlus is based on CTIBench, the NeurIPS '24 Spotlight framework used by leading security teams. The methodology is not just academically interesting. It is directly useful for procurement, rollout, and assurance decisions.
Independent by design
CredencePlus is built for third-party evaluation, not vendor self-scoring. We measure AI security products against realistic SOC tasks and documented failure evidence.
Reproducible evidence
Each evaluation is tied to defined workflows, repeatable test cases, and outputs your team can review with product, security, procurement, and audit stakeholders.
Built for real workflows
We evaluate what matters in practice: triage, investigation, correlation, threat hunting, workflow completion, and the reliability of tools under pressure.
Built For Security Buyers
Proof for teams that need more than vendor claims
If you are evaluating AI for SOC workflows, the challenge is rarely whether the demo works. The challenge is whether the tool performs safely, consistently, and usefully in the workflows your team will actually run.
Security operations leaders
For CISOs, SOC leaders, and platform owners who need confidence before AI touches core workflows.
Risk, audit, and procurement teams
For buyers who need documented evidence, not vendor promises, before approving rollout or renewal decisions.
Regulated and high-scrutiny environments
Relevant for finance, government, telecom, energy, and enterprise technology teams where failure modes must be understood before production.
The HelixGenAI positioning
The crash-test rig for AI security tools
Use CredencePlus to evaluate AI security tools across real SOC workflows, find where models fail before production, and build evidence that supports rollout, procurement, and governance decisions.
How It Works
Four steps from proof to rollout confidence
One workflow category, reproducible evaluation runs, and a clear evidence trail your team can act on.
Connect the workflow
Align on the AI security workflow, copilot, or agent you need to trust and the decisions the evaluation should support.
Run the evaluation
Stress-test real SOC tasks across failure modes, workflow completion, reasoning quality, and operational usefulness.
Review the evidence
Receive documented findings, score breakdowns, and decision-ready evidence your security and audit stakeholders can use.
Track and improve
Re-run after model, prompt, or product updates so you can verify improvement and catch regression before rollout.
FAQ
Questions security buyers usually ask first
What kinds of AI security tools can HelixGenAI evaluate?
CredencePlus is designed for AI SOC tools, copilots, agents, investigation assistants, correlation workflows, and security products that embed LLM-driven reasoning or automation.
Do you evaluate our real workflow or a generic benchmark?
The goal is workflow-level evidence. We start with the security use case you care about and evaluate performance against realistic analyst tasks and failure conditions, not just generic model benchmarks.
What do we receive at the end of an evaluation?
You receive an evidence-backed readout covering workflow performance, failure modes, reproducibility, and decision-ready findings for security, risk, procurement, and audit stakeholders.
Can you help compare multiple vendors or internal options?
Yes. The evaluation approach is useful both for vendor selection and for internal go or no-go decisions around copilots, agents, or AI-assisted SOC workflows.
Ready to scope it?
Book an AI Security Evaluation
Request An Evaluation
Start with the workflow you need to trust
Tell us which AI security workflow, copilot, or tool you want evaluated. We will follow up with the right next step for your team and scope the evaluation around the proof you need.
What happens next
Lead Form