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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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.
Blend KEV + CVSS + EPSS into one ranked queue with weekly deltas and optional exports to Jira, ServiceNow, Slack, and Splunk.
See DemoQ-Day + AI Threat Dashboard
Monitor immediate AI-driven risks and long-horizon quantum disruption in one view. Daily refresh of predictive insights.
Latest AI Threat Intelligence
2026-02-03 15:41 PDT**Today's Headline:** Why is Time-to-Exploit Collapsing? [AI Threat Review]
**AI Threat/Development:** The emergence of "just-in-time" AI-powered malware, as documented by Google's Threat Intelligence Group, indicates that nation-state actors are leveraging AI to optimize the timing and effectiveness of cyberattacks. **Enterprise AI Impact:** This development significantly heightens the risk for enterprise AI systems, as attackers can exploit vulnerabilities in real-time, leading to faster breaches and potentially devastating impacts on data integrity and operational continuity. The ability to deploy AI in operational campaigns means that traditional security measures may become obsolete, as adversaries can adapt their tactics dynamically. **Severity:** Critical **AI Security Actions:** 1. Implement continuous monitoring and anomaly detection systems that utilize AI to identify unusual patterns of behavior indicative of AI-powered attacks. 2. Conduct regular vulnerability assessments and penetration testing focused on AI systems to identify and mitigate potential weaknesses before they can be exploited. 3. Develop an incident response plan specifically tailored to AI threats, ensuring that teams are prepared to address and neutralize AI-driven attacks swiftly.*5 articles analyzed individually - view full intelligence for details*
Post-Quantum Cryptography Updates
2026-02-03 15:41 PDT**Today's Headline:** QuEra and Roadrunner Venture Studios Establish $4M Quantum Testbed in New Mexico
**Quantum Advance:** The establishment of a neutral-atom quantum testbed by QuEra Computing and Roadrunner Venture Studios signifies a significant advancement in quantum computing capabilities, particularly in developing scalable quantum systems. **Crypto Impact:** This development enhances the potential for quantum computers to execute Shor's algorithm, which can efficiently factor large integers, thereby threatening widely used encryption methods such as RSA and ECDSA. The implications for TLS (Transport Layer Security) are also profound, as these encryption protocols rely on the security of these algorithms. **Timeline Threat:** The acceleration of quantum computing research and infrastructure, as evidenced by this $4 million investment, indicates that Q-Day (the day when quantum computers can break current encryption) may arrive sooner than anticipated. The growing number of quantum testbeds could lead to breakthroughs in quantum algorithms and error correction, shortening the timeline for practical quantum attacks. **Migration Urgency:** Organizations must prioritize the adoption of post-quantum cryptography (PQC) solutions to safeguard sensitive data. Immediate action is recommended to assess current cryptographic frameworks and begin transitioning to PQC standards, as the threat landscape is evolving rapidly with advancements in quantum technologies.*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
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.