Financial Services & Insurance
Your perimeter is hardened.
Your internal trust isn't governed.
The risk hidden inside financial networks
Financial institutions are the most targeted organizations in the world. But the threat that keeps security leaders up at night isn’t the one at the perimeter – it’s what happens after initial access. Trading platforms, data warehouses, policy administration systems, actuarial models, customer portals – these systems communicate constantly, and almost none of those relationships are continuously validated. In our pilots, financial organizations consistently discover:
- Internal API connections between trading and data systems that have never been formally authorized
- Service accounts with trust relationships to sensitive financial systems far beyond what their function requires
- Third-party fintech integrations with internal access paths that were never scoped or reviewed after onboarding
- Data pipelines traversing systems in sequences that bypass intended access controls
- Legacy applications with implicit trust relationships to core banking or insurance platforms that no one has reviewed in years
(IBM Cost of a Data Breach Report)
But the greater exposure for many institutions is regulatory – a breach that triggers SEC, state insurance regulator, or DORA scrutiny can cost multiples of the breach itself in fines, remediation mandates, and reputational damage.
Internal Trust Governance for financial networks
Enigma AI deploys passively using lightweight network sensors – no agents, no changes to application or infrastructure configurations, no impact on trading operations or customer-facing systems. It continuously maps and validates every system-to-system communication across your environment, giving security teams the visibility they’ve never had over internal trust across trading, data, and financial platforms.
- Discover every asset and communication relationship across your internal environment – including shadow integrations and undocumented service dependencies
- Map trust relationships between financial systems and identify paths inconsistent with system intent
- Generate segmentation policy based on how systems actually communicate – critical in environments where microsegmentation projects have stalled due to application complexity
- Monitor continuously for trust drift as integrations, vendors, and system configurations evolve
Enigma AI works across asset managers, wealth management firms, regional and community banks, specialty insurance carriers, and fintech platforms navigating complex internal application ecosystems.
Compliance & regulatory alignment
Financial services and insurance organizations operate under some of the most demanding and rapidly evolving regulatory frameworks of any industry. Enigma AI supports audit readiness across the requirements that matter most:
SEC Regulation S-P and cybersecurity disclosure rules
expanding requirements for internal network monitoring, incident detection, and governance of systems handling customer financial data
DORA (Digital Operational Resilience Act)
EU operational resilience requirements for ICT risk management, internal network governance, and third-party access controls affecting firms operating in European markets
SOC 2 Type II
trust service criteria for security and availability increasingly require evidence of internal network governance and east-west traffic controls
NYDFS Cybersecurity Regulation (23 NYCRR 500)
one of the most prescriptive state-level frameworks, with specific requirements for network monitoring, access controls, and penetration testing that internal trust governance directly supports
State insurance regulatory frameworks
increasing scrutiny of internal network security controls for carriers handling sensitive policyholder data
Enigma AI helps organizations meet these expectations by providing continuous visibility into internal network communications and enabling segmentation and governance strategies that hold up under regulatory examination.
See your internal trust surface in 30 days
Most financial services security teams have never seen a complete map of system-to-system trust relationships across their trading, data, and financial platforms. Our 30-day pilot delivers exactly that — a full Internal Risk Index across your internal network, with no agents and no disruption to trading operations or customer-facing systems.