Aligning intelligence…
Aligning intelligence…
AI Consulting · Automation · Development
We put AI to work on the noise: log correlation, anomaly detection, response playbooks. Your analysts get their hours back for the investigations that need human judgment, and the whole setup stays auditable.
AI now does four concrete jobs across IT operations and cybersecurity. It correlates high volumes of logs in SIEM platforms, so alert triage drops from hours to minutes. It watches endpoint behaviour in EDR and surfaces novel and living-off-the-land attacks that signature tools miss. It runs SOAR playbooks that isolate hosts, collect evidence and notify stakeholders without tying up an analyst. And it ranks CVEs by real exploit likelihood and threat intelligence instead of CVSS score alone. The pattern holds in production: AI is not replacing your security team, it is absorbing the signal volume no human can scale to, and leaving people for the context-heavy calls.
The commercial upside comes with a compliance frame, and that frame is now load-bearing. The NIS2 Directive (Directive (EU) 2022/2555) requires the essential and important entities in its scope, from energy, transport and banking to financial-market infrastructure, health and digital infrastructure, to put risk-proportionate cybersecurity measures in place and to report significant incidents on a tight timeline. NIS2 is technology-neutral. It does not mandate AI, but AI-assisted detection and response is how many teams meet those measures at the scale modern log volumes demand. The EU AI Act (Regulation (EU) 2024/1689) adds Article 50 transparency duties, applicable from 2 August 2026, so a tool marketed as AI-driven has to disclose that to users. Where AI acts as a safety component in critical infrastructure, it can fall under the Act's Annex III high-risk class (Article 6), carrying risk-management and human-oversight obligations whose deadline the May 2026 Digital Omnibus moved to 2 December 2027 (with 2 August 2028 for AI embedded in regulated products).
Governance & compliance
Two more regimes shape any deployment that touches personal data. Under GDPR, a Data Protection Impact Assessment (Article 35) is required where processing is likely to result in a high risk to individuals, and large-scale monitoring and behavioural analytics in security tooling routinely cross that line. Article 22 restricts solely automated decisions that carry legal or similarly significant effects, such as access-control or disciplinary outcomes. In Malta, the MDIA (designated via Legal Notice 226 of 2025) is the market-surveillance authority for the EU AI Act, which carries penalties up to EUR 15 million or 3% of global annual turnover for breaches of its operator obligations, on top of Malta's transposition of NIS2 and its sectoral cybersecurity rules. We design with these obligations in the architecture from day one, not bolted on after.
Correlate events across high daily log volumes to help cut mean time to detection from hours to minutes, surfacing the alerts that actually matter and suppressing the rest.
Baseline endpoint behaviour to flag novel and living-off-the-land techniques that signature-based tools miss, before they escalate to a breach.
SOAR-style automation that isolates affected hosts, captures forensic evidence and notifies stakeholders on routine incidents, without pulling an analyst off deeper work.
Rank thousands of CVEs by real attack surface and live threat intelligence rather than CVSS alone, so remediation effort follows actual exploit likelihood.
Detect command-and-control beaconing and data exfiltration patterns in network traffic that fixed rules and thresholds routinely miss.
Ingest threat feeds, correlate indicators and screen message headers and attachments, surfacing relevant context to analysts and filtering malicious mail at the gateway.
It can. The Act reaches AI placed on the EU market or whose output is used in the Union, and the obligations differ by role: a firm that builds or rebrands a security tool as its own can take on provider duties, not just deployer duties. Article 50 transparency obligations apply from 2 August 2026 regardless of where the firm is incorporated, as long as the system or its output is used in the EU. We help you map which role you hold and what disclosures that triggers.
NIS2 (Directive (EU) 2022/2555) requires the essential and important entities in its scope to put in place risk-proportionate cybersecurity measures and to report significant incidents on a defined timeline. It is technology-neutral, so it does not mandate AI, but for the banking and financial-market infrastructure operators Malta hosts, AI-assisted detection is increasingly how those measures are met at the scale modern log volumes demand. We help map which obligations apply and where AI fits the control set.
GDPR Article 35 calls for a Data Protection Impact Assessment where processing is likely to result in a high risk, and large-scale monitoring, user-behaviour analytics and email scanning commonly meet that threshold. Article 22 also restricts solely automated decisions with legal or significant effects, so a human stays in the loop on access-control or disciplinary calls. We scope both before any data flows.
Yes. The MDIA operates an AI Regulatory Sandbox, free for SMEs, that lets early movers test systems under regulatory supervision ahead of the Annex III high-risk deadline, postponed to 2 December 2027 under the May 2026 Digital Omnibus. For critical-infrastructure AI that falls under Annex III, sandbox testing gives both compliance cover and a market head start.
From first strategy to live systems, we cover the full path for IT & Security teams, no need to hire a full AI team up front.
A five-minute read on where IT & Security teams like yours stand before committing to a build.