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Latil Quantum Resilience:

Proactive cryptography risk analysis for quantum-era threats

Latil Quantum Resilience is a proactive cryptography risk analysis and decision engine designed to keep organizations one step ahead of quantum-era threats—so sensitive data remains protected against “harvest now, decrypt later” attacks.

Quantum Readiness

Readiness

72%

Assets

2,847

Protected against harvest attacks
Post-quantum

Fast deployment, decision-ready output:

We scan your environment, ingest existing security inputs, and generate actionable, audit-friendly risk rankings and remediation recommendations—without needing to disrupt your current infrastructure.

1

Comprehensive scanning

Analyze SaaS providers, cloud infrastructure, and on-prem environments to identify unprotected sensitive data and legacy/weak encryption schemes.

2

Guided ingestion

Import findings from existing reports (e.g., Prisma, Tenable, Qualys) or use a lightweight Q-Scanner to extract encryption metadata and risk-relevant signals without opening firewall ports.

3

Risk evaluation & remediation guidance

Classify risks, prioritize remediations, and produce justification-ready recommendations that support governance and compliance decisions.

Strategic benefits:

Cost avoidance of $300K to $1M+ vs. internal efforts, with ~70% lower annual consulting costs
Up to 3× faster implementation and board-ready risk visibility in up to 14 days
Reduced compliance penalties—potentially up to $20M for noncompliance
Turn a multi-year cryptography assessment into measurable outcomes in days

For whom? Regulated organizations (finance, insurance, healthcare), cloud-native enterprises, and critical infrastructure teams that need quantum-threat readiness aligned with NIST expectations for post-quantum cryptography.

Industries using it:

Finance
Insurance
Healthcare
Cloud-native
Critical infrastructure

Ready to optimize and save?

Schedule a 20-minute meeting with no commitment. We evaluate your case, show you the solutions and estimate the potential savings.