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Enterprise AI & Post-Quantum Risk — Explained, Prioritized, Actionable

AI PQ Audit helps CISOs and security leaders identify, prioritize, and explain emerging AI-driven and post-quantum risks in business terms — before those risks materialize into audit findings, compliance gaps, or board-level incidents.

Traditional security tools are excellent at finding vulnerabilities. They are far less effective at answering the harder questions executives now ask: Which risks actually matter, how fast they are evolving, and what decisions should leadership make next?

What CISOs Use AI PQ Audit For:

  • Translate AI and quantum risk into board-ready business exposure
  • Prioritize vulnerabilities based on real-world exploitability, not volume
  • Prepare for post-quantum cryptography transitions without guesswork
  • Demonstrate proactive governance over AI usage and emerging threats

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Join our beta program and test AI cyber attack assessment across 23 threat categories, additionally test your enterprise for post-quantum cryptography vulnerabilities

Q-Day Live Countdown

Countdown loaded from weekly AI analysis snapshot.

Cut Risk Noise by 90%

Fuse KEV + EPSS + CVSS + ATT&CK to focus only on exploitable vulns.

Board-Ready Analytics

PQRI with $ exposure, top drivers, and WoW deltas.

Compliance, Automated

Daily mapping to NIST 800-53, CIS, SOC 2, CNSA 2.0 PQC.

Tier 1 — Threat Intel NEW

Blend KEV + CVSS + EPSS into one ranked queue with weekly deltas and optional exports to Jira, ServiceNow, Slack, and Splunk.

See Demo
Prioritized Threats BETA

Turn CVE noise into action. Rank by KEV (exploited), CVSS (severity), and EPSS (likelihood), plus ATT&CK hints and weekly deltas.

Asset Threat Comparison NEW

Upload an asset list once, then see which systems map to KEV, CVSS severity, and EPSS exploitability—prioritize by real-world risk.

Q-Day + AI Threat Dashboard

Monitor immediate AI-driven risks and long-horizon quantum disruption in one view. Daily refresh of predictive insights.

AI-Powered Cyber Attack Intelligence

Latest AI Threat Intelligence

2026-03-12 12:19 PDT

**Today's Headline:** Global ransomware attacks increased by 50% last year, making ...

**AI Threat/Development:** The article highlights the rise of AI-powered malware that can adapt and evade traditional detection methods, significantly increasing the effectiveness of ransomware attacks. **Enterprise AI Impact:** This evolution in ransomware tactics poses a severe threat to enterprise AI systems, as traditional security measures may fail to detect or mitigate these advanced threats. The adaptability of AI malware can lead to unauthorized access, data breaches, and operational disruptions, undermining the integrity and availability of critical business functions. **Severity:** Critical **AI Security Actions:** 1. Implement advanced AI-driven security solutions that utilize machine learning for real-time threat detection and response, ensuring they can adapt to evolving malware tactics. 2. Conduct regular security assessments and penetration testing focused on AI systems to identify vulnerabilities such as prompt injection and model poisoning. 3. Establish a robust incident response plan specifically tailored for AI-related threats, incorporating cross-functional teams to address the unique challenges posed by AI-driven attacks.

*5 articles analyzed individually - view full intelligence for details*

Post-Quantum Cryptography Intelligence

Post-Quantum Cryptography Updates

2026-03-12 12:19 PDT

**Today's Headline:** RIKEN and IBM Demonstrate Quantum-Centric Supercomputing at Scale

**Quantum Advance:** RIKEN and IBM's demonstration of Quantum-Centric Supercomputing (QCSC) showcases the integration of classical supercomputing with quantum processing, enhancing computational capabilities significantly. **Crypto Impact:** The advancement in QCSC indicates that quantum processors can now effectively complement classical systems, raising concerns for current encryption methods such as RSA and ECDSA. These methods are vulnerable to quantum attacks, particularly Shor's algorithm, which can factor large integers and compute discrete logarithms efficiently. **Timeline Threat:** This development accelerates the timeline to "Q-Day," the point at which quantum computers can break widely used encryption standards. As quantum hardware becomes more capable and integrated with classical systems, the feasibility of large-scale quantum attacks increases, potentially within the next 5-10 years. **Migration Urgency:** Organizations must prioritize the adoption of post-quantum cryptography (PQC) solutions to safeguard sensitive data. Immediate steps include assessing current cryptographic infrastructure, identifying vulnerable systems, and initiating pilot projects for PQC algorithms. Transitioning to PQC should be a strategic priority to mitigate risks associated with impending quantum threats.

*5 articles analyzed individually - view full intelligence for details*

Compliance + Future-Proofing

Enterprise-grade controls aligned to FedRAMP, HIPAA, PCI, and NIST guidelines — designed to support compliance programs, not replace formal authorizations — but we go further by giving enterprises predictive resilience against both fast-moving AI and inevitable quantum disruption.

13 Audit Areas

Comprehensive scanning across domains, networks, devices, code, PKI, cloud, mobile, IoT, and blockchain

Proprietary AI Analysis

Advanced multi-AI orchestration with rigorous cross-validation and transparent scoring for enterprise-grade assessments

Compliance-Ready Controls

Control mappings to FedRAMP Moderate baseline, FIPS 140-2 requirements, FISMA, and NIST SP 800-53 Rev 5 (selected controls implemented; formal authorizations depend on customer environment and scope)

Quantum-Safe Platform

Ready to adopt NIST FIPS 203/204/205 standards (ML-KEM, ML-DSA, SLH-DSA) when required by regulations

FedRAMP Moderate FIPS 140-2 Level 1 NIST SP 800-53 Rev. 5 control mappings available to support regulated environments NIST SP 800-53 Rev 5

How Predictive Defense Works

1) Upload & Configure

Domains, SBOMs, certs, configs, inventories, policies, and optional code.

2) Predictive Analysis

Four-engine consensus across AI threats + PQC risk with business impact.

3) Actionable Defense Plan

PQRI, remediation queue, playbooks, and control gap heatmaps.

Standards & Frameworks We Align To

  • NIST SP 800-53 Rev 5
  • FIPS 140-2 / 140-3
  • CNSA 2.0 PQC
  • CISA KEV
  • SOC 2 & CIS Controls v8

References indicate alignment and mapping; no affiliation or endorsement is implied.

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CISOs
Compliance Officers
DevSecOps Teams
MSPs

© 2025 AI PQC Audit. Advanced multi-AI powered post-quantum cryptography security platform.

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