AI-native managed security operations for APRA-regulated financial services. We detect, respond, report, and continuously harden your security posture.
Trusted by financial institutions
ClearView 
Financial services is the most targeted sector in Australia. ACSC responded to over 1,200 incidents in 2024-25, up 11%. AI phishing emails achieve 54% click-through vs 12% for traditional campaigns.
Average financial services breach costs USD $6.08M, 22% above global average. 168 days to identify, 51 to contain. APRA CPS 234 requires 72-hour notification. Most teams lack the AI-native tooling and 24/7 coverage to meet that window.
$6.08M
Breach cost
Financial services average
IBM, 2024
54%
AI phishing click rate
vs 12% traditional
Brightside AI, 2025
1,200+
ACSC incidents
2024-25, up 11%
ASD ACTR, 2025
168
Days to identify
Average breach detection
IBM, 2024
Four integrated capabilities that deliver AI-native security operations for regulated financial services.
ML models trained on financial services threat patterns with behavioural analytics. Detect credential stuffing, insider threats, and supply chain compromise that rules-based systems miss.
Dedicated SOC with APRA/ASIC/AML-CTF aware analysts and defined SLAs. Continuous monitoring, alert triage, and escalation tailored to financial services regulatory requirements.
Pre-built playbooks with automated containment actions for known attack patterns. APRA notification workflows ensure 72-hour compliance windows are met every time.
CPS 234 evidence collection, board-ready threat briefings, and audit-ready documentation. Automated reporting that satisfies regulators and informs executive decision-making.
A structured process from security assessment to ongoing managed operations.
Security posture, threat landscape, CPS 234 gaps, tooling inventory
Detection rules, SIEM/SOAR integration, playbooks, SLA definition
AI detection models, SOC onboarding, log integration, automated response
24/7 managed detection, tuning, threat intel, compliance reporting
Security posture, threat landscape, CPS 234 gaps, tooling inventory
Detection rules, SIEM/SOAR integration, playbooks, SLA definition
AI detection models, SOC onboarding, log integration, automated response
24/7 managed detection, tuning, threat intel, compliance reporting
Choose the engagement level that fits your organisation's security maturity and coverage requirements.
Adaca partnered with a leading Australian financial institution to deploy AI-native security operations. The engagement covered security posture assessment, AI detection model deployment, SOC onboarding with APRA-experienced analysts, and integration with existing SIEM and EDR platforms.
MTTD reduced from 9 days to under 30 minutes with zero missed APRA notification windows
CPS 234, CPS 230, ASIC, and AML/CTF compliance built into every detection rule, playbook, and reporting workflow from day one.
We build Lovelace and Lineer. Our AI detection models are trained by AI engineers, not configured from vendor defaults.
SOC analysts with APRA-regulated experience. They understand the threat landscape, regulatory requirements, and operational context of financial services.
Common questions about AI security operations for regulated financial services.
Still have questions?
Talk to our teamTraditional SIEM relies on static rules and signature matching, generating high volumes of false positives. Our AI detection models learn behavioural baselines specific to financial services environments and identify anomalies that rules-based systems miss. This reduces false positives by over 90% while catching sophisticated threats like credential stuffing, insider activity, and supply chain compromise.
CPS 234 requires entities to notify APRA within 72 hours of a material information security incident. Our platform automatically collects evidence, generates timeline reports, and drafts APRA notification documents. SOC analysts with APRA experience review every notification before submission to ensure accuracy and completeness.
Yes. We integrate with existing SIEM platforms (Splunk, Microsoft Sentinel, Elastic), EDR tools (CrowdStrike, Microsoft Defender), cloud security posture management, and identity providers. Our AI detection layer sits on top of your existing stack, enriching alerts rather than replacing infrastructure.
Our mean time to detect (MTTD) is under 30 minutes for critical threats, with automated containment actions executing within seconds for known attack patterns. For novel threats requiring human analysis, our SOC analysts begin investigation within 15 minutes of alert escalation, 24/7.
All security logs and detection data are stored within Australian data centres. We use sovereign cloud regions for log aggregation and analysis. No security telemetry leaves Australian jurisdiction. For clients requiring additional controls, we support on-premises log retention with cloud-based analysis on anonymised metadata.
Still have questions?
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