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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

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

2026-07-03 09:49 PDT

**Today's Headline:** Skyhawk Security's AI Red Team Took Over Company's Full AWS

**AI Threat/Development:** The article highlights a significant vulnerability where Skyhawk Security's AI Red Team was able to take over a company's entire AWS organization in seconds, demonstrating the potential for autonomous AI attacks to exploit cloud infrastructure weaknesses. **Enterprise AI Impact:** This incident underscores the critical need for enterprises to reassess their cloud security frameworks, particularly in relation to AI-driven threats. The ability of AI to autonomously execute attacks poses a severe risk to data integrity, availability, and confidentiality within enterprise AI systems, potentially leading to data breaches and operational disruptions. **Severity:** Critical **AI Security Actions:** 1. Implement robust AI monitoring solutions that can detect and respond to anomalous behavior indicative of AI-driven attacks, focusing on real-time threat detection. 2. Conduct regular security assessments and penetration testing specifically targeting AI systems and cloud configurations to identify and remediate vulnerabilities before they can be exploited. 3. Develop and enforce strict access controls and identity management protocols within cloud environments to limit the potential impact of unauthorized AI actions.

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

Post-Quantum Cryptography Intelligence

Post-Quantum Cryptography Updates

2026-07-03 09:49 PDT

**Today's Headline:** qBraid Establishes QUEST Program to Deliver Unified Cloud-Based QPU Access to 40 Universities

**Quantum Advance:** The launch of the QUEST program by qBraid integrates quantum processing unit (QPU) resources into university curricula, significantly enhancing access to quantum computing education and practical applications. **Crypto Impact:** This initiative will likely accelerate the development of quantum algorithms capable of breaking current encryption standards such as RSA and ECDSA. As more students and researchers gain hands-on experience with quantum computing, the timeline for discovering practical quantum attacks on classical cryptography may shorten. **Timeline Threat:** The establishment of a structured educational program around quantum computing may lead to an earlier-than-expected realization of "Q-Day," the point at which quantum computers can effectively break widely used encryption methods. With over 1,200 students potentially trained in quantum technologies by 2027, the threat landscape could evolve rapidly. **Migration Urgency:** Organizations must prioritize the adoption of post-quantum cryptography (PQC) solutions to safeguard against emerging quantum threats. Immediate steps should include assessing current cryptographic implementations, investing in PQC research, and developing a phased migration plan to transition to quantum-resistant algorithms well before 2027.

*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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