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

2026-02-22 13:11 PDT

**Today's Headline:** Industry survey shows 2/3 of CFOs fear “DIY” security risks of agentic ...

**AI Threat/Development:** The article highlights the emergence of "DIY" security risks associated with agentic AI, particularly following the first documented agentic AI cyber attack by Anthropic. This indicates a growing trend where organizations may inadvertently create vulnerabilities by deploying AI systems without adequate security measures. **Enterprise AI Impact:** The proliferation of agentic AI systems can lead to significant security gaps if not properly managed. Enterprises may face increased risks of prompt injection, model poisoning, and adversarial attacks, which could compromise sensitive data and operational integrity. The fear expressed by CFOs underscores the potential financial and reputational damage from such vulnerabilities. **Severity:** High **AI Security Actions:** 1. Implement robust security frameworks specifically tailored for AI systems, including regular audits and threat modeling to identify potential vulnerabilities. 2. Establish a comprehensive training program for staff on the risks associated with agentic AI and best practices for secure deployment. 3. Collaborate with AI vendors to ensure that security measures are integrated into the AI development lifecycle, focusing on adversarial robustness and continuous monitoring for anomalies.

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

Post-Quantum Cryptography Intelligence

Post-Quantum Cryptography Updates

2026-02-22 13:11 PDT

**Today's Headline:** Quantum Elements Secures Additional Funding for AI-Driven Development Platform

**Quantum Advance:** Quantum Elements is developing Constellation, a platform aimed at enhancing quantum application development, which may lead to significant advancements in quantum computing capabilities. **Crypto Impact:** The development of more efficient quantum application platforms could expedite the creation of quantum algorithms capable of breaking widely used cryptographic systems such as RSA and ECDSA. As quantum computing technology matures, the risk to current encryption methods increases, particularly for protocols like TLS that rely on these algorithms for secure communications. **Timeline Threat:** The funding and progress of startups like Quantum Elements suggest a potential acceleration towards "Q-Day," the point at which quantum computers can effectively break current encryption standards. Given the rapid pace of innovation in the quantum space, organizations should anticipate a shorter timeline for quantum threats to become a reality, possibly within the next 5-10 years. **Migration Urgency:** Organizations must prioritize the adoption of post-quantum cryptography (PQC) solutions to safeguard against imminent quantum threats. Immediate steps should include assessing current cryptographic dependencies, investing in PQC research and development, and beginning the transition to quantum-resistant algorithms to mitigate risks associated with the evolving quantum landscape.

*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