Industries

Technology & Regulated Enterprise

Technology companies and other regulated enterprises adopt AI earliest and most deeply — which makes source code, model access, and customer data the exposure that governance has to catch up with.

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What we see in this sector

The pressures that show up most often

Source code and proprietary data submitted to external AI models

Shadow AI adopted by engineering ahead of any review

Customer trust and security questionnaires as a sales gate

Third-party and supply-chain exposure through the toolchain

Applicable frameworks

What this sector is typically held to

Readiness and alignment support across these regimes — not a claim of certification or accreditation.

SOC 2

ISO 27001

NIST AI Risk Management Framework

NIST Cybersecurity Framework

GDPR

Where to start

The solution areas that matter most here

AI Governance & Security

Enable AI adoption without losing control

Bring visibility, policy, and control to how your organization actually uses AI — before shadow AI, ungoverned tools, or unmanaged risk get ahead of you.

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AI-Assisted Compliance Readiness

Readiness that holds between audits

Compliance readiness shouldn’t mean rebuilding an evidence pack from scratch every cycle. Map controls once, automate the evidence, and keep a posture you can demonstrate across the frameworks that apply to you.

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Security Awareness & Human Risk

Turn your workforce into part of the security architecture

Static annual training isn’t enough against AI-generated phishing and social engineering. Build continuous, role-specific security awareness that measurably reduces human risk.

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Not sure which applies? See all four solution areas.

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Ready to talk through technology & regulated enterprise?

Start with a conversation, not a sales pitch. We'll help you understand the risk before recommending an engagement.

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