AI PQ Logo

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

Or explore our latest threat intelligence without signing up

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

2026-08-20 13:33 PDT

**Today's Headline:** The Unseen Threat – The Rise Of Uncensored AI Agents And ...

**AI Threat/Development:** The emergence of "Malware Factories," which are autonomous AI systems capable of developing and deploying malware continuously, poses a significant threat to cybersecurity. These systems can operate without human intervention, making them more efficient and harder to detect. **Enterprise AI Impact:** The rise of these AI-powered malware factories can severely compromise enterprise AI systems by automating attacks, increasing the scale and speed of cyber threats. Organizations may face heightened risks of data breaches, intellectual property theft, and operational disruptions, ultimately undermining their security posture and trustworthiness. **Severity:** Critical **AI Security Actions:** 1. Implement advanced anomaly detection systems that leverage AI to identify unusual patterns of behavior indicative of malware activity. 2. Regularly update and patch AI models to protect against vulnerabilities that could be exploited by adversarial attacks or model poisoning. 3. Develop a comprehensive incident response plan specifically tailored to address AI-related threats, ensuring rapid containment and recovery from AI-driven cyber incidents.

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

Post-Quantum Cryptography Intelligence

Post-Quantum Cryptography Updates

2026-08-20 13:33 PDT

**Today's Headline:** IBM Links Modular Cryogenic Cells to Scale Multi-Chip Architectures for 2029 Starling Quantum Computer

**Quantum Advance:** IBM's successful linking of modular cryogenic cells represents a significant step toward the realization of a fault-tolerant quantum computer, specifically the IBM Quantum Starling, expected in 2029. **Crypto Impact:** The advancement in quantum computing capabilities directly threatens traditional encryption methods such as RSA and ECDSA, which rely on the difficulty of factoring large numbers and solving discrete logarithms. As quantum computers become more powerful, they could potentially break these encryption schemes, rendering current secure communications vulnerable. **Timeline Threat:** The 2029 timeline for the IBM Quantum Starling suggests an accelerated approach to "Q-Day," the point at which quantum computers can effectively compromise existing cryptographic systems. Organizations must prepare for the possibility that adversaries may leverage quantum capabilities sooner than anticipated, especially as modular architectures enhance scalability and performance. **Migration Urgency:** Organizations should prioritize the adoption of post-quantum cryptography (PQC) solutions immediately. This includes assessing current cryptographic infrastructures, conducting risk assessments, and initiating migration plans to quantum-resistant algorithms to mitigate potential vulnerabilities before the anticipated arrival of quantum computing 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.

Built for Security Professionals

CISOs
Compliance Officers
DevSecOps Teams
MSPs

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

AI Quantum Dev
204 E. 2nd Ave. Suite 601
San Mateo, CA 94401

Powered by Proprietary Multi-AI Technology