
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.
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.
Q-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
2025-09-10 04:48 PDTINTELLIGENCE BRIEF: AI Security Developments
Date: September 10, 2025
HEADLINE: Apple Introduces Advanced Memory Protection Against AI-Powered Attacks
SUMMARY:
Apple has unveiled a significant security advancement called Memory Integrity Enforcement (MIE) for its new iPhone 17 and iPhone Air models. This technology, built into the A19 chip, provides continuous memory safety protection across the kernel and over 70 userland processes, specifically designed to counter sophisticated AI-driven attacks and spyware threats. The timing is notable given the reported increase in US investment in commercial spyware technologies during 2024.
BUSINESS IMPLICATIONS:
This development represents a major shift in mobile security architecture, particularly relevant for enterprises managing sensitive data on mobile devices. The MIE technology could provide enhanced protection against AI-powered memory exploitation attacks without compromising device performance. Organizations should consider this security feature in their mobile device management strategies, especially given the rising sophistication of state-sponsored and commercial spyware threats.
REFERENCE SOURCES:
- Primary announcement: "Apple iPhone Air and iPhone 17 Feature A19 Chips With Spyware-Resistant Memory Safety" (https://thehackernews.com/2025/09/apple-iphone-air-and-iphone-17-feature.html)
- Supporting context: "Apple Unveils iPhone Memory Protections to Combat Sophisticated Attacks" (https://www.securityweek.com/apple-unveils-iphone-memory-protections-to-combat-sophisticated-attacks/)
- Related trend: "US Investment in Spyware Is Skyrocketing" (https://www.wired.com/story/us-spyware-investment/)
Post-Quantum Cryptography Updates
2025-09-10 04:48 PDTQUANTUM SECURITY INTELLIGENCE REPORT
Date: 2025-09-10
CRITICAL DEVELOPMENTS:
Two major quantum computing advancements signal accelerated progress toward encryption-breaking capabilities:
1. Google Quantum AI's partnership with DARPA's Quantum Benchmarking Initiative (QBI) aims to achieve utility-scale fault-tolerant quantum computing by 2033. This concrete timeline from a major player, backed by DARPA, suggests quantum threat to encryption could materialize within 8 years. The rigorous third-party benchmarking will likely accelerate development of error-corrected quantum systems capable of running Shor's algorithm to break RSA encryption.
[Source: https://quantumcomputingreport.com/google-quantum-ai-joins-darpa-to-benchmark-path-to-utility-scale-fault-tolerant-computing/]
2. QuEra's $230M Series B expansion with NVIDIA partnership represents significant private sector investment in neutral-atom quantum computers. This architecture shows promise for achieving the qubit counts and coherence times needed for cryptographically-relevant quantum computations. The combination of QuEra's hardware with NVIDIA's classical computing capabilities could accelerate timeline to quantum advantage.
[Source: https://quantumcomputingreport.com/quera-expands-230-million-series-b-with-nventures-advancing-quantum-accelerated-supercomputing/]
URGENCY ASSESSMENT:
Organizations should accelerate post-quantum cryptography migration plans. The DARPA 2033 timeline for fault-tolerant quantum computing suggests encrypted data with long-term value needs protection within 5-7 years, accounting for harvest-now-decrypt-later attacks. The increasing investment in quantum hardware development by major tech companies indicates growing confidence in achieving encryption-breaking capabilities this decade.
RECOMMENDED ACTIONS:
1. Begin PQC migration planning immediately
2. Inventory cryptographic assets and dependencies
3. Monitor NIST PQC standardization progress
4. Develop quantum risk assessment frameworks
5. Consider implementing hybrid classical/post-quantum schemes as interim measure
The convergence of government timelines, private sector investment, and hardware breakthroughs suggests quantum threat to current cryptography is accelerating faster
Compliance + Future-Proofing
Government-grade compliance is built in (FedRAMP, HIPAA, PCI, NIST), 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 adaptive audit core delivers enterprise-grade quantum security assessment with 95%+ confidence
Federal Compliance Ready
FedRAMP Moderate, FIPS 140-2 Level 1, FISMA, NIST SP 800-53 Rev 5 with 37+ security controls implemented
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
Upload & Configure
Upload your documents, network inventories, device lists, or code archives
Predictive Analysis
Multi-AI engines forecast how threats will evolve against your specific assets
Future Risk Modeling
Risk forecast of AI + Quantum threats with likelihood rankings and timeline analysis
Predictive Defense Plan
Actionable roadmap prioritized by future risk with CISO-ready predictive reports