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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

2026-03-03 13:43 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

2026-03-03 13:43 PDT

**Today's Headline:** Japan and Singapore Partner to Develop Hybrid Quantum-HPC Platforms

**Quantum Advance:** Japan and Singapore's collaboration to develop hybrid Quantum-HPC platforms signifies a significant step towards integrating quantum computing capabilities with existing high-performance computing systems. **Crypto Impact:** The advancement of hybrid Quantum-HPC platforms poses a direct threat to current encryption methods such as RSA, ECDSA, and TLS. Quantum computers have the potential to efficiently solve problems that underpin these cryptographic systems, particularly through algorithms like Shor's algorithm, which can factor large integers and compute discrete logarithms in polynomial time. **Timeline Threat:** The establishment of this partnership accelerates the timeline for potential quantum threats (Q-Day) as it enhances research and development in quantum algorithms and applications. The three-year framework indicates a focused effort that could lead to practical quantum computing solutions capable of breaking conventional encryption within a decade, especially as quantum technologies mature. **Migration Urgency:** Organizations must prioritize the adoption of post-quantum cryptography (PQC) standards to safeguard against imminent threats. Immediate actions should include assessing current cryptographic infrastructures, investing in PQC research, and developing migration strategies to transition to quantum-resistant algorithms before the anticipated Q-Day.

*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

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