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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

2026-06-18 10:38 PDT

**Today's Headline:** SentinelOne turns Purple AI loose to investigate threats on its own

**AI Threat/Development:** SentinelOne's Purple AI is being deployed to autonomously investigate threats, which raises concerns about the potential for adversarial attacks and model poisoning. **Enterprise AI Impact:** The introduction of autonomous AI threat detection systems like Purple AI can enhance response times and efficiency in identifying threats. However, it also introduces vulnerabilities, as adversaries may exploit weaknesses in the AI's learning algorithms or manipulate input data to mislead the system, resulting in undetected threats or false positives. **Severity:** High **AI Security Actions:** 1. Implement robust input validation mechanisms to mitigate risks associated with prompt injection and adversarial attacks on AI models. 2. Regularly update and retrain AI models with diverse datasets to reduce susceptibility to model poisoning and ensure resilience against evolving threats. 3. Establish a continuous monitoring framework to assess the performance and decision-making processes of AI systems, allowing for rapid identification and remediation of anomalies.

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

Post-Quantum Cryptography Intelligence

Post-Quantum Cryptography Updates

2026-06-18 10:38 PDT

**Today's Headline:** OVHcloud Partners with Welinq and Adds Quobly to Expand Sovereign European Quantum Infrastructure

**Quantum Advance:** OVHcloud's partnership with Welinq to develop decentralized orchestration architectures for quantum data centers signifies a strategic move towards enhancing quantum networking capabilities in Europe. **Crypto Impact:** The advancements in quantum infrastructure directly challenge current cryptographic standards such as RSA and ECDSA, which are vulnerable to quantum attacks. As quantum computing capabilities improve, the feasibility of breaking these encryption methods increases, particularly with algorithms like Shor's algorithm that can efficiently factor large integers. **Timeline Threat:** The establishment of a robust quantum infrastructure accelerates the timeline to "Q-Day," the point at which quantum computers can effectively break existing encryption. With European entities investing in quantum technologies, organizations must prepare for potential threats within the next 5-10 years, depending on the pace of quantum advancements. **Migration Urgency:** Organizations should prioritize the adoption of post-quantum cryptography (PQC) solutions to safeguard sensitive data. Immediate steps include assessing current cryptographic implementations, identifying vulnerabilities, and developing a migration roadmap to PQC standards before quantum capabilities reach a critical threshold.

*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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