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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

2026-06-20 10:21 PDT

**Today's Headline:** Skyhawk Security Earns Two Cloud Security Awards for Advancing ...

**AI Threat/Development:** Skyhawk Security's continuous Adversarial AI Red Team simulates autonomous AI attacks on cloud environments, highlighting the evolving threat landscape where AI can be weaponized against enterprise systems. **Enterprise AI Impact:** This development underscores the necessity for organizations to recognize that AI systems are not only targets but can also be exploited to launch sophisticated attacks. The ability of adversarial AI to autonomously identify and exploit vulnerabilities in cloud infrastructures poses significant risks to data integrity, availability, and confidentiality. **Severity:** High **AI Security Actions:** 1. **Implement Continuous Monitoring:** Establish real-time monitoring systems that can detect and respond to anomalous behaviors indicative of adversarial AI attacks. 2. **Regularly Update AI Models:** Ensure that AI models are regularly retrained and updated to mitigate risks of model poisoning and to adapt to new threat vectors. 3. **Conduct Red Team Exercises:** Engage in regular red team exercises that simulate adversarial AI attacks to evaluate and enhance the resilience of AI systems against such threats.

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

Post-Quantum Cryptography Intelligence

Post-Quantum Cryptography Updates

2026-06-20 10:21 PDT

**Today's Headline:** OQC Expands to Barcelona with €92 Million ($98M USD) Global Manufacturing and R&D Hub

**Quantum Advance:** OQC's establishment of a global manufacturing and R&D hub in Barcelona signifies a strategic expansion in the development of superconducting quantum hardware, which is crucial for advancing quantum computing capabilities. **Crypto Impact:** The advancements in superconducting quantum technology directly threaten current encryption standards such as RSA and ECDSA, which rely on the difficulty of factoring large numbers and solving discrete logarithms. As quantum computers become more powerful, the feasibility of breaking these encryption methods increases, potentially compromising sensitive data protected by TLS protocols. **Timeline Threat:** The establishment of this hub accelerates the timeline to "Q-Day," the point at which quantum computers can effectively break widely used cryptographic algorithms. With OQC's focus on industrializing quantum hardware, we may see significant advancements in quantum processing capabilities within the next 5-10 years, hastening the urgency for organizations to prepare for quantum threats. **Migration Urgency:** Organizations should prioritize the adoption of post-quantum cryptography (PQC) solutions now, focusing on transitioning to quantum-resistant algorithms to safeguard data integrity and confidentiality. Immediate assessments of current cryptographic infrastructures and strategic planning for PQC integration are essential to mitigate impending risks.

*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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