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AI & Quantum Predictive Cyber Defense Platform

From audit to anticipation. AI PQ Audit shows enterprises how AI-driven exploits and post-quantum attacks will target today's assets—so you can defend before they strike. Traditional audits look backward. We look forward—combining AI threat intelligence, quantum cryptography foresight, and enterprise asset assessments to deliver actionable future defense plans.

Join our beta program and test AI cyber attack assessment across 23 threat categories, additionally test your enterprise for post-quantum cryptography vulnerabilities

AI Exploit Forecasting

Model how generative AI may evolve novel exploits across 23 attack vectors. Predict adversarial attacks, model poisoning, and prompt injection before they emerge.

Predictive Vulnerability Mapping

See which assets attackers are most likely to hit next. Multi-AI analysis ranks exposures by future likelihood of AI or quantum exploitation.

Future Attack Simulations

Multi-vector scenarios across AI-driven and quantum-enabled threats. Explore "what-if" attack paths against your current assets.

Enterprise Asset Assessment

Analyze hardware, firmware, networks, and devices for AI vulnerabilities and quantum-resistant cryptography readiness across your enterprise.

Known Exploited Vulnerabilities (KEV)

Monitor CISA's KEV catalog of actively exploited threats. Upload your SBOM (Software Bill of Materials) to identify critical exposures and enterprise API for automated vulnerability management.

Adaptive Intelligence Engines

Multi-AI analysis engines that evolve as adversaries do. Continuous updates from threat intelligence feeds and quantum research.

Quantum Cryptography Foresight

Track risks from the coming cryptographic shift. Anticipate quantum readiness needs and transition timeline planning.

CISO-Ready Reporting

Executive-grade risk assessments with business impact analysis. Professional reports designed for C-suite consumption and board presentations.

Supply Chain Security

Assess third-party risks and vendor security posture. Monitor software dependencies for AI vulnerabilities and quantum-unsafe cryptography.

Tier 1 — Threat Intelligence Expansion NEW

Don't drown in CVE noise. AI PQ now delivers prioritized vulnerability intelligence that blends KEV + CVSS + EPSS into one ranked list, complete with weekly delta reports and direct integrations into Jira, ServiceNow, Slack, and Splunk.

See Demo - How Tier 1 Works

Prioritized Threats BETA

Turn CVE noise into action. We blend KEV (exploited), CVSS (severity), and EPSS (likelihood) into one ranked list—plus MITRE ATT&CK hints, alerts, and weekly delta reports.

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Asset Threat Comparison NEW

Upload your asset list once, then see which of your systems are exposed to real-world threats. We match your environment against CISA KEV, CVSS severity, and EPSS exploitability.

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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

2025-10-16 12:20 PDT

**Today's Headline:** COE Security LLC | LinkedIn

**AI Threat/Development:** MalTerminal represents a new class of AI-powered malware that likely leverages large language models and automation capabilities to enhance malicious operations. **Enterprise AI Impact:** AI-powered malware poses elevated risks to enterprise environments by potentially: - Automating attack customization based on target environment - Using AI to evade detection and modify behavior - Scaling sophisticated attacks that previously required human operators - Adapting tactics in real-time based on defense responses **Severity:** High **AI Security Actions:** 1. Enhance detection systems to identify AI-driven behavioral patterns and anomalies that may indicate AI malware activity, particularly focusing on unusual automation patterns and adaptive behaviors 2. Implement AI-aware security controls including: - Strict API access controls and monitoring - Network segmentation for AI systems - Enhanced logging of AI model interactions and behaviors 3. Update incident response plans to account for AI malware capabilities including: - Rapid containment procedures for adaptive threats - Forensics processes for AI-enhanced malware - Recovery procedures that consider AI persistence mechanisms Reference: https://www.linkedin.com/company/coe-security Note: Limited source details available but analysis based on emerging AI malware trends and capabilities referenced in the title.

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

Post-Quantum Cryptography Intelligence

Post-Quantum Cryptography Updates

2025-10-16 12:20 PDT

**Today's Headline:** SemiQon and VTT Win EARTO Award for Cryogenic CMOS Chip Innovation

**Quantum Advance:** SemiQon and VTT's cryogenic CMOS chip innovation enhances the performance of CMOS technology at cryogenic temperatures, which is crucial for the scalability and efficiency of quantum computing systems. **Crypto Impact:** This advancement could significantly accelerate the development of quantum computers capable of executing Shor's algorithm, which threatens widely used encryption methods such as RSA and ECDSA. Current encryption protocols, including TLS, may become vulnerable as quantum capabilities improve, particularly with the ability to perform complex calculations at lower temperatures. **Timeline Threat:** The successful implementation of cryogenic CMOS technology could shorten the timeline to practical quantum computing, potentially bringing "Q-Day"—the point at which quantum computers can break current encryption—closer than previously anticipated. This could occur within the next 5-10 years, depending on the pace of technological advancements and integration into quantum systems. **Migration Urgency:** Organizations must prioritize the adoption of post-quantum cryptography (PQC) solutions now. Immediate assessments of current cryptographic frameworks are essential, alongside the development of migration strategies to quantum-resistant algorithms. Engaging with PQC standards and pilot testing should be initiated to safeguard against imminent quantum threats.

*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 FISMA Compliant NIST SP 800-53 Rev 5

How Predictive Defense Works

1
Upload & Configure

Upload your documents, network inventories, device lists, or code archives

2
Predictive Analysis

Multi-AI engines forecast how threats will evolve against your specific assets

3
Future Risk Modeling

Risk forecast of AI + Quantum threats with likelihood rankings and timeline analysis

4
Predictive Defense Plan

Actionable roadmap prioritized by future risk with CISO-ready predictive reports

Built for Security Professionals

CISOs
Compliance Officers
DevSecOps Teams
MSPs

© 2025 AI PQC Audit. Advanced multi-AI powered post-quantum cryptography security platform.

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