Passive detectionis the past.
In the era of autonomous AI attacks, you need active neutralization in under 2 milliseconds. Detecting and neutralizing NHI attacks, Memory Poisoning, and All Green Fraud before they cause damage.
Your SIEM and current audit are blind to the new generation of AI attack vectors.
All Green Fraud
Malicious code falsifies system logs, SecOps dashboards show "All Green" status, while capital is leaking. Average detection time: 90+ days (OWASP ASI06).
RISK ASSESSMENT: CRITICAL →Memory Poisoning
Infiltration via LLM memory vector. Attackers manipulate historical context, deliberately degrading transaction decisions, staying under the radar for weeks.
RISK ASSESSMENT: HIGH →Non-Human Identities (NHI)
Machine identities now account for 80% of corporate cloud traffic (IBM 2025). Once compromised, data exfiltration takes just 25 minutes.
RISK ASSESSMENT: IMMEDIATE →MTTAV Architecture: Zero latency, full force.
CAPTURE
Real-time anomaly detection at packet level.
PUNISH
Autonomous isolation of suspicious nodes and NHI agents.
PREVENT
Hardening the network against the attack vector across all infrastructure.
100% EU Data Sovereignty
The only price of security, full compliance with the world's most stringent regulatory standards.
DORA 2025 Compliance
Full readiness for DORA requirements on digital operational resilience (ICT).
AI Act Annex III
Designed to meet cybersecurity requirements for high-risk AI systems.
CRA Requirements
Cyber Resilience Act certification, 24h incident reporting.
NIS2
Compliance with the network and information security directive, data sovereignty, supply chain resilience.
| Regulation | Requirement | Status Qunigma |
|---|---|---|
| DORA Art. 8 | NHI asset inventory | ✓ Automatic |
| DORA Art. 19 | Reporting 4h/24h/72h | ✓ Pre-built packs |
| AI Act Art. 15 | Cybersecurity AI high-risk | ✓ Memory Guard SHA-256 |
| CRA Art. 14 | 24h vulnerability disclosure | ✓ VDP aligned |
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The Financial Dimension of Active Defense
We translate MTTAV's technological advantage into hard financial and operational metrics required by the Board.
Reduction in response time, from 241 days to under 2ms. (IBM Cost of a Data Breach 2025)
Average savings for an enterprise by eliminating AI-native fraud.
| Parameter | Status Quo | Qunigma |
|---|---|---|
| Breach identification time | Avg. 241 days | <2ms active neutralization |
| DORA/AI Act penalties | Up to 7% of turnover | Full compliance |
| Board liability | €5M + function ban | Immutable logs |
| 3-year ROI | Negative | ~338% (IBM/IDC 2025) |
| SecOps efficiency | Alert fatigue | +38% productivity |
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Map your blind spots before they are exploited.
AI Security Readiness Analysis
MTTAV Gap Analysis Template, complete and bring to tomorrow's board meeting.
Technical Specification for CTO
Full integration documentation for CTO and Chief Architect.
ROI Matrix: DORA & AI Act
Business case for CFO: TCO vs. regulatory and security risk.