360 CyberSecure Homepage

AI & Cyber Risk IntelligenceEvery decision matters.

Independent risk intelligence for buyers, vendors and developers, from first purchase or release through integration, renewal and every revision.

Aligned to
NIST AI RMF

Govern, map, measure and manage AI risk across the lifecycle. We use it to judge an AI product you are buying or the one you are about to release.

ISO/IEC 42001

The AI management system standard. We support implementation, not certification.

ISO/IEC 27001

Information security management system standard, used to see whether controls are in place and maintained.

SOC 2

Independent attestation on controls for security, availability, processing integrity, confidentiality and privacy. We read the report for what it does and does not cover.

NIST CSF 2.0

Security outcomes used to see whether a vendor, product or environment protects what matters.

NIST SP 800-161

Supply chain risk management for vendors, resellers, integrations and renewals, where much of AI and cyber risk sits.

EU AI Act

Obligations for AI providers and deployers, mapped to how you actually use AI.

GDPR / CCPA

Privacy law for personal data in the EU and California, relevant wherever an AI product handles customer or employee data.

NIS2

EU directive on cybersecurity risk management for essential and important entities.

DORA

EU regulation on digital operational resilience, including ICT third-party risk, for the financial sector.

Select a framework to see how we use it.
Four decision points

Know the risk before you make the call.

01
Before you buy or releaseIs this product safe to bring in, or ready to release?
02
During build and integrationIs the risk measured and controlled as it is built and connected?
03
After deploymentIs it behaving as expected, and are the outputs reliable?
04
At renewal or revisionWhat changed since you signed or last released?
The signature deliverable

The Decision Rating

Every review concludes with one clear page: the decision, our confidence in it, the findings behind it, and what could change the rating.

1A clear verdict leadership can act on
2A confidence level based on the evidence
3The findings that drove the call
4What would change the rating
Sample, fictional vendor
Proceed with
conditions
CONFIDENCE: MEDIUM
Customer data may be used to improve the vendor's models unless an opt-out is confirmed.
Security attestation covers the core platform but not the new AI assistant.
Two sub-processors added since the last review; regions to be confirmed.
What would change thisWritten opt-out confirmation and an attestation that covers the AI assistant would move this to Proceed.
ProceedProceed with conditionsPauseDecline

Illustrative example only. Not based on a real client or vendor.

Ways to work together

Start where the decision is

FOR BUYERS & RESELLERSBuy, Resell, Integrate, Renew

Technology Decision Review

Evaluates a specific purchase, vendor, AI product, integration, resale or renewal decision, delivered as a Decision Rating your leadership can act on.

Discuss a Decision →
FOR VENDORS & DEVELOPERSBefore release, during build, each revision

Product Risk and Market Readiness Review

An independent review that confirms your AI risk assessment and mitigations are measured and in place before release, while you build, and at every revision, across the risks your customers, partners and procurement teams will examine. You receive a Readiness Rating, priority findings and a strengthening plan.

Prepare for Release →
Entry offer

Risk Intelligence Review

Interprets the assessments and reports you already have when the evidence exists but the conclusion is unclear.

Start a Review →
During build and integration

AI Operating Model and Agent Governance Sprint

Approvals, permissions, traceability and ownership, defined.

Ask About a Sprint →
Ongoing

Fractional AI Governance and Risk Partner

A monthly rhythm that keeps ratings and risks current.

Discuss a Partnership →
What AI risk intelligence means

AI is built, bought, deployed and renewed by different people, and each holds part of the risk. Risk intelligence is seeing all of it.

01
FoundationsClear ownership, roles and principles in place before AI scales.
02
Laws and standardsObligations and frameworks mapped to how you actually use AI.
03
DevelopmentVendors and developersRisk assessed and mitigations measured before every release.
04
Deployment and useBuyersModels chosen, integrated and monitored with the risk understood.
AI governance in practice
Approvals and ownershipWho decides what AI comes in, and who is accountable once it does.
AI platform and agent controlsWhat each platform, tool and agent can access or do, and when human approval is required.
Output quality and controlCatching misleading results, and the prompts and review steps that correct them.
Leadership visibilityA plain-language view of AI risk for executives and the board.
How we work

Assessment, and everything after

01
AssessGather the evidence and map what is covered.
02
InterpretRead it correctly for the decision at hand.
03
ActPrioritize, with trusted partners for technical fixes.
04
SustainKeep it current through renewals and change.

Hands-on technical work is delivered with vetted delivery partners.

Free self-assessments

See where you stand in 90 seconds

Three free self-assessments. Each gives you a benchmark score for one risk area.

Continuous AI risk & readiness scanning

AI Governance

AI Governance & Responsible AI

Benchmark model risk exposure, control coverage and operational readiness against emerging governance standards.

  • AI System Risk Benchmarking
  • Model Governance Maturity Scoring
  • Technical Control Coverage Analysis
  • AI Audit Methodology Research
Take the AI Governance assessment →
RawProtected

Every record makes the crossing

Data Privacy

Data Privacy & Digital Trust

Benchmark encryption coverage, access control enforcement and data discovery accuracy against evolving privacy risk.

  • PII Discovery & Classification Accuracy
  • Encryption Coverage Benchmarking
  • Access Control Enforcement Testing
  • Data Lineage & Lifecycle Automation Research
Take the Data Privacy assessment →

Threats meet the perimeter. Nothing gets through.

Cybersecurity

Cybersecurity & Threat Readiness

Benchmark patch latency, attack surface exposure and incident response against real-world threat activity.

  • Attack Surface & Exposure Benchmarking
  • Patch & Vulnerability Remediation Latency
  • Detection & Response Time Metrics
  • Cloud Configuration & Misconfiguration Testing
Take the Cybersecurity assessment →

Make your next technology decision with the full picture.

Start a Conversation →