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.
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
2026-08-29 21:40 PDT**Today's Headline:** AI Agents Are Becoming Cyber Attackers - Anonymous Hackers
**AI Threat/Development:** The article discusses the emergence of AI-powered malware that can autonomously adapt and execute cyberattacks, posing a significant threat to traditional cybersecurity measures. **Enterprise AI Impact:** The rise of AI-driven attacks can compromise enterprise AI systems by exploiting vulnerabilities through advanced techniques such as prompt injection and model poisoning. This evolution in threat landscape necessitates a reevaluation of existing security protocols, as traditional defenses may be inadequate against these sophisticated, self-learning malware. **Severity:** High **AI Security Actions:** 1. **Implement Robust AI Monitoring:** Deploy advanced monitoring tools that utilize AI to detect anomalous behavior in real-time, enabling rapid response to potential threats. 2. **Enhance Model Security:** Regularly assess and harden AI models against adversarial attacks by employing techniques like adversarial training and input validation to mitigate risks of model poisoning. 3. **Conduct Regular Security Audits:** Establish a routine for comprehensive security audits of AI systems to identify and rectify vulnerabilities before they can be exploited by AI-driven attacks.*5 articles analyzed individually - view full intelligence for details*
Post-Quantum Cryptography Updates
2026-08-29 21:40 PDT**Today's Headline:** Governor Newsom Awards $9.74M to Scale Southern California Quantum Ecosystem
**Quantum Advance:** The $9.74 million investment in Southern California's quantum ecosystem indicates a significant push towards developing quantum technologies, which may include advancements in quantum computing and quantum communication. **Crypto Impact:** As quantum computing capabilities grow, they pose a direct threat to current cryptographic standards such as RSA and ECDSA. These algorithms, widely used for securing communications and data, could be rendered obsolete by sufficiently powerful quantum computers, which can leverage Shor's algorithm to break these encryptions efficiently. **Timeline Threat:** The acceleration of funding and development in the quantum sector suggests that the timeline for "Q-Day"—the point at which quantum computers can effectively compromise current encryption methods—may be closer than previously anticipated. This could lead to a critical vulnerability window for organizations relying on traditional cryptographic methods. **Migration Urgency:** Organizations must prioritize the adoption of post-quantum cryptography (PQC) solutions to mitigate risks associated with quantum threats. Immediate assessments of current cryptographic infrastructure and a strategic roadmap for transitioning to PQC standards are essential to safeguard sensitive data against impending quantum capabilities.*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.