Is MAIA compliant with banking regulations such as DORA and NIS2?

MAIA is built with regulatory compliance in mind. Its full audit trails, explainable alert reasoning, and continuous monitoring capabilities directly support compliance with DORA, NIS2, GDPR, PCI-DSS, and other financial sector regulatory frameworks.

AI Cyber Security Agent – Autonomous Threat Intelligence

The Challenge

Why Traditional Security Fails Financial Institutions

Banks and financial institutions operate under a perfect storm of complexity: sprawling hybrid infrastructure, sophisticated adversaries, and regulatory pressure that demands flawless security posture. Legacy tools were not built for this reality.

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90%

False Positive Rate

Security operations centres are overwhelmed with noise. Traditional SIEM systems generate thousands of alerts daily, the vast majority of which are benign — causing genuine threats to be buried and analysts to experience dangerous alert fatigue.

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207 Days

Average Breach Dwell Time

Sophisticated attackers move laterally across infrastructure for months before detection. Signature-based tools cannot see what they haven't been told to look for — leaving institutions exposed during the most critical window of an attack.

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Fragmented

Disconnected Tool Silos

Firewalls, SIEM, EDR, cloud security, and email gateways operate in isolation. No single tool sees the full picture. Coordinated, multi-vector attacks — the preferred method of sophisticated threat actors — are invisible to siloed defences.

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Zero-Day

Unknown Threat Vectors

Nation-state actors and advanced persistent threat groups develop novel attack methodologies that have never been seen before. No signature exists; no rule can catch them. Only behavioural intelligence — detecting what doesn't belong — can close this gap.

Core Capabilities

MAIA's AI Security Intelligence Suite

A comprehensive, self-reinforcing security intelligence platform that sees your entire infrastructure as a single connected organism — not as isolated, disconnected components.

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Adaptive Behavioural Analysis

Establishes living behavioural baselines for every system, user, application, and data flow. Continuously updates models as your infrastructure evolves. Detects deviations in real-time — unusual process activity, unexpected lateral movement, abnormal data flows — without relying on any threat signature.

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Cross-System Threat Correlation

Aggregates and correlates data simultaneously across all security sources — firewalls, endpoints, network monitors, cloud environments, email gateways, and privileged access systems. Identifies coordinated multi-vector attack patterns that are completely invisible to any individual tool operating in isolation.

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Zero-Day & Novel Threat Protection

Recognises attack patterns based on behaviour, not on signatures. Threats that have never been seen before are detected the moment they deviate from established norms. MAIA's immune system approach identifies what doesn't belong, even when no prior knowledge of the threat exists.

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Intelligent Alert Filtering

Context-aware threat prioritisation eliminates the noise. MAIA presents only genuine, confirmed threats — each accompanied by a complete investigative package: the triggering anomaly, corroborating cross-system signals, affected assets, potential impact, and recommended response actions.

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File Integrity & Configuration Monitoring

Continuous, immutable monitoring of critical files, system binaries, security certificates, and configuration parameters. Any unauthorised change — whether from a malicious actor or accidental misconfiguration — is detected instantly with full forensic context: what changed, when, and by whom.

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Multi-Dimensional Threat Analysis

Simultaneous analysis across process behaviour, memory patterns, network traffic, API calls, and registry activity. Detects code injection, privilege escalation, credential theft, data exfiltration staging, and persistence mechanisms — often before the attacker completes their objective.

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Insider Threat Detection

Deep user and entity behavioural analytics (UEBA) profile the full scope of human activity across systems. Detects anomalous access patterns, unusual data access volumes, after-hours activity, lateral movement by privileged accounts, and exfiltration staging — including from authorised, credentialed users.

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Rapid Infrastructure Integration

Intelligent API discovery connects MAIA to your existing security stack in hours to days — not months. Self-configuring data ingestion works natively with leading firewalls, SIEM platforms, EDR solutions, cloud security tools, and network monitoring systems, with no disruptive rip-and-replace required.

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Continuous Institutional Learning

Every interaction, every alert, every confirmed threat and verified false positive makes MAIA smarter. Behavioural models improve continuously. The platform builds an ever-growing body of institutional security knowledge — terabytes of intelligence specific to your environment — that no individual human analyst can replicate.

How It Works

The MAIA Security Intelligence Cycle

A self-reinforcing cycle of observation, learning, detection, and response that operates continuously — 24 hours a day, 7 days a week, across every corner of your digital infrastructure.

Discover & Connect

MAIA's intelligent integration layer automatically discovers your existing security tools, data sources, and infrastructure components. It connects to firewalls, SIEM, EDR, cloud platforms, network monitors, and identity systems — creating a single, unified data fabric without disrupting existing operations.

Observe & Baseline

350+ specialised monitoring agents begin observing every system, user, application, and data flow. Over an initial learning period, MAIA builds precise, multi-dimensional behavioural baselines that define what "normal" looks like — uniquely calibrated to your specific infrastructure, not generic industry templates.

Detect & Correlate

Any deviation from established baselines triggers real-time analysis. MAIA immediately cross-correlates the anomaly against signals from all connected systems simultaneously. A single low-confidence signal becomes a high-confidence threat when confirmed by corroborating evidence across multiple independent sources.

Prioritise & Explain

Genuine threats are elevated with complete, auditable context: the initiating anomaly, all corroborating signals, affected systems and users, potential blast radius, and recommended response actions. Security analysts receive actionable intelligence — not raw alerts — enabling faster, more confident decisions.

Respond & Contain

MAIA coordinates with existing security tools to enact containment — isolating affected endpoints, blocking suspicious network paths, revoking compromised credentials, or escalating to your SOC team with a fully prepared incident dossier. Response time is measured in minutes, not days.

Learn & Evolve

Every detected threat, confirmed incident, and analyst decision feeds back into MAIA's models. Behavioural baselines are continuously refined. Detection accuracy improves over time. The platform builds institutional security memory that evolves alongside your infrastructure and the threat landscape.

MAIA's Unique Advantages

What Sets MAIA Apart

Two architectural capabilities define MAIA's differentiation from every other security platform on the market. Neither can be replicated by traditional tools, AI wrappers, or single-model systems.

Adaptive Intelligence Engine

Most security platforms treat your infrastructure as a static snapshot. MAIA's Adaptive Intelligence Engine treats it as a living organism — continuously learning, recalibrating, and evolving its understanding of what is normal and what is a threat.

This goes far beyond basic anomaly detection. MAIA's engine orchestrates multiple specialised AI models simultaneously — each focused on a specific domain — sharing context and building a unified, ever-deepening picture of your security posture.

Multi-model orchestration with shared contextual memory
Self-calibrating baselines that adapt to legitimate infrastructure changes
Neurosymbolic reasoning: logic plus learning for explainable decisions
Institutional memory that accumulates over months and years
Cross-domain intelligence fusion across people, systems, and data

Explore the Adaptive Intelligence Engine

Server room with network connections representing MAIA's real-time threat response

Real-Time Autonomous Threat Response

Detection without response is incomplete. MAIA closes the loop — from anomaly detection through investigation, containment, and recovery — in a single, autonomous workflow that operates at machine speed, not human speed.

MAIA's response capability is not a scripted playbook triggered by simple rules. It is a contextual, proportional, and explainable response that is dynamically assembled based on the specific nature, scope, and potential impact of each unique threat.

Sub-hour detection-to-containment cycle for confirmed threats
Dynamic, context-driven response — not rigid static playbooks
Proportional containment: surgical isolation without business disruption
Full audit trail for every action taken — essential for regulatory compliance
Seamless escalation to human analysts with pre-assembled incident dossiers

Explore Real-Time Threat Response

Competitive Landscape

MAIA vs. Traditional Approaches

Not all security intelligence is equal. Understanding the fundamental architectural differences is critical to selecting the right platform for a Tier 1 institution.

Capability	Traditional SIEM / EDR	MAIA AI Security Agent
Threat detection basis	Known signatures & rules	Behavioural anomaly + correlation
Zero-day protection	None until signature released	Native — detected by behaviour
Cross-system correlation	Limited, manual, slow	Automated, real-time, multi-source
False positive rate	60–90% of all alerts	Dramatically reduced via context
Learning & adaptation	Manual rule updates required	Continuous autonomous learning
Insider threat detection	Rule-based, limited coverage	Deep UEBA — behavioural profiling
Integration time	Months of professional services	Hours to days via API discovery
Explainability	Rule triggered — limited context	Full investigative context & audit trail
Regulatory compliance support	Partial — manual reporting	Built-in DORA / NIS2 / GDPR support

Regulatory Compliance

Built for Regulated Financial Institutions

MAIA's architecture directly addresses the security and operational resilience requirements mandated by major financial regulatory frameworks. Compliance is not an afterthought — it is embedded in every layer.

DORA

NIS2

GDPR

PCI-DSS

ISO 27001

SOC 2

Basel III / IV

EBA Guidelines

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Full Audit Trails

Every alert, every decision, every automated or analyst-directed action is logged with immutable, timestamped records. Regulatory examinations and internal audits are supported with complete, explainable documentation of all security events.

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Explainable AI Decisions

MAIA's neurosymbolic reasoning produces human-interpretable explanations for every alert and action. Regulators, auditors, and board-level executives can understand precisely why a threat was flagged and what response was taken — no black-box opacity.

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Continuous Monitoring & Reporting

MAIA's 24/7 autonomous monitoring directly satisfies DORA's Digital Operational Resilience Act requirements for continuous ICT risk monitoring. Automated reporting capabilities reduce manual compliance overhead for security operations teams.

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Incident Reporting Support

When a reportable security incident occurs, MAIA has already assembled the complete evidence package — timeline, affected systems, data categories involved, containment actions taken. Regulatory notification requirements are met faster and with greater accuracy.

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Data Sovereignty & Privacy

MAIA's deployment model supports on-premises, private cloud, and hybrid configurations to meet data residency and sovereignty requirements. Sensitive financial data never leaves your controlled environment without explicit authorisation.

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Risk Quantification

MAIA provides continuous, quantified risk scoring across your infrastructure — enabling risk committees and boards to understand security posture in business terms. Supports the risk appetite frameworks required by Basel III/IV and internal capital adequacy processes.

Industries Served

Protecting the Institutions That Move the World's Capital

MAIA is purpose-built for organisations where a security failure carries systemic consequences — for the institution, its clients, and the broader financial system.

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Tier 1 & Tier 2 Banks

Global and regional banks with complex hybrid infrastructure and cross-border regulatory obligations.

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Investment & Asset Management

Firms managing sensitive client portfolios, algorithmic trading infrastructure, and proprietary research.

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Payment Processors & Fintechs

High-volume transaction processing environments with PCI-DSS obligations and real-time fraud exposure.

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Central Banks & Regulators

National monetary authorities and supervisory bodies protecting critical financial system infrastructure.

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Insurance & Reinsurance

Carriers holding vast personal and commercial data with complex multi-jurisdiction regulatory requirements.

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Market Infrastructure

Exchanges, clearing houses, and central securities depositories forming the backbone of capital markets.

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Wealth Management

Private banks and family offices protecting ultra-high-net-worth client data and relationship networks.

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Correspondent & Trade Finance

Banks with complex counterparty networks, SWIFT connectivity, and cross-border transaction exposure.

Common Questions

Frequently Asked Questions

How does MAIA detect zero-day threats without signatures?

MAIA uses adaptive behavioural intelligence to establish baseline patterns for all systems, users, and processes. Instead of matching against known threat signatures, it detects anomalies and deviations from normal behaviour. This immune system approach identifies novel threats based on what they do, not what they are — making zero-day detection a native capability, not an afterthought.

How does MAIA differ from traditional SIEM systems?

Traditional SIEM systems rely on rule-based detection and generate high volumes of alerts — with 60–90% false positive rates — that overwhelm security teams. MAIA uses neurosymbolic reasoning to provide context-aware threat prioritisation, cross-system correlation, and intelligent filtering. It presents only genuine threats with complete investigative context, dramatically reducing alert fatigue and enabling faster, more accurate response.

How long does MAIA take to integrate with existing security infrastructure?

MAIA's intelligent API discovery enables rapid integration measured in hours to days, not months of professional services engagement. It automatically discovers and connects to existing firewalls, SIEM, EDR, cloud security tools, and network monitors. There is no disruptive rip-and-replace — MAIA amplifies your existing investments while providing the unified intelligence layer they lack.

Can MAIA protect against insider threats from authorised users?

Yes. MAIA's deep user and entity behavioural analytics (UEBA) build comprehensive activity profiles for every user — including privileged administrators and executives with broad system access. It detects anomalous access patterns, unusual data volumes, after-hours activity, lateral movement, and exfiltration staging even from users with fully legitimate credentials and authorisations.

Does MAIA replace our existing security tools?

No — and this is by design. MAIA is an intelligence and coordination layer that amplifies every existing security investment. Your firewalls, antivirus, EDR, and SIEM continue to operate and provide value. MAIA aggregates their outputs, adds cross-system correlation, and provides the unified visibility and autonomous response capability that no individual tool can achieve independently.

Is MAIA compliant with DORA, NIS2, and other financial regulations?

MAIA is architected to support compliance with DORA, NIS2, GDPR, PCI-DSS, ISO 27001, and EBA cybersecurity guidelines. Its continuous monitoring, full audit trails, explainable alert reasoning, and automated incident documentation directly satisfy key regulatory requirements — reducing compliance burden on your security operations team.

How does MAIA handle false positives?

MAIA continuously refines its behavioural models based on your specific infrastructure and analyst feedback. Cross-system correlation means an alert is only elevated when multiple independent signals confirm a genuine anomaly — not when a single metric exceeds a threshold. The result is a dramatic reduction in false positives compared to any rule-based system, with every alert carrying the full context needed for rapid confirmation or dismissal.

The Immune Systemfor Your Digital Infrastructure