People move between our product teams, and each product keeps its own logins and permissions. Nobody reviews access the same way twice, so leavers and role changes slip through. A good solution must work across many separate products, give one central view for our risk team, support regular access reviews, and satisfy public-sector procurement rules.
Fintech · Banking & BaaS · 1000+ · Europe #b006_07
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We provide a cloud-based core banking platform sold as a service to banks, lenders and fintechs across many countries, and have recently expanded into payments.
- Industry
- Fintech · Banking & BaaS
- Size
- 1000+ employees
- Region
- Europe
- Tools budget
- $20K+ per month
- Needs
- Application security & code scanning. We want security tooling embedded in development so our product teams catch flaws early in a large multi-tenant banking SaaS.Today: product-security team gives development-lifecycle guidance and threat modelling to product squads · Urgency: this yearCloud security posture. After acquisitions we run several cloud estates and need one consistent view of misconfigurations and risk across them.Today: security engineers split across core platform and an acquired payments unit using scanners and logging · Urgency: this yearSOC 2 / ISO 27001 automation. Bank customers send us long security questionnaires and audit requests; we want certification evidence maintained continuously.Today: attestations maintained annually through audits and customer questionnaires, requested under NDA · Urgency: this year
- Who decides
- ciso security · security review
- Expects from suppliers
- Threat modelling support for multi-tenant platforms; Helps fold acquired products into one security baseline; Works on more than one hyperscaler
- Not a fit
- Single-cloud-only tools; Scanners without support for our backend language
- Stack
- multi-cloud, Kubernetes, CI/CD pipeline in place, compliance tooling in place
- Buying triggers
- tool consolidation, upcoming audit or certification
Needs
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We are pursuing several security certifications at the same time, and tracking each one separately is becoming unmanageable. We need a single place to map controls across frameworks and see readiness for each. It must keep compliance data inside our region, produce clear evidence for public sector reviewers, and avoid heavy consulting.
We run capacity across many data centers in several countries, and our compliance work cannot keep pace with our growth. Mapping several frameworks by hand is slow. A good solution must fit physical sites, not only cloud SaaS, automate evidence and framework mapping through APIs, roll out fast, and avoid heavy consulting. Audits are coming this year.
Our regulated customers keep asking for more compliance frameworks to cover our hosted service, and doing each one by hand would swamp our small team. We need automation that spans several frameworks, not just one attestation, without a dedicated compliance hire, a long procurement cycle, or enterprise-only pricing.
We want security checks living inside the developer workflow, not late reviews that stall releases. Today our devsecops engineers wire checks into delivery pipelines by hand with each product team. A good solution plugs into our existing CI, keeps false positives low, and gives developers clear fix guidance. No heavy agents, no long rollouts.
We're a small team and we enforce least-privilege access to customer records by hand. Periodic access reviews eat time every cycle and are easy to get wrong. A good solution runs reviews on a schedule, flags stale or excessive access, keeps clean evidence for auditors, and works for contractors without per-seat penalties. Setup in days, tiny budget.
We are shipping assistant features that read payroll records, and we worry a model could leak or misuse customer data. Our threat modeling is still ad hoc, feature by feature. A good solution must enforce clear limits on what a model can see and do, log every access, and come with documented threat models for model-driven features.
We hold highly sensitive vulnerability findings for large clients, and retention and handling controls have to be airtight. Today we rely on contracts and internal oversight, which feels thin. A good solution must segregate data strictly per client, enforce retention and deletion rules, keep an audit trail, and let us keep full control of where findings live.
We wish for a control layer that sits between our internal autonomous agents and the systems they touch. It should gate risky actions by policy, log every step in a form auditors accept, and expose APIs our engineers can extend. We would judge it by how fast we can write a new rule, and whether logs survive a security review.
We run access across many segmented cloud accounts with single sign-on and role-based permissions, but periodic access reviews are still manual and slow. Drift between reviews goes unnoticed too long. A good solution must automate reviews across all accounts, flag drift quickly, and export audit trails for every admin action, because bank partners and examiners ask for proof constantly.
We run a regulated cloud platform where our engineers and partner teams all need access, and proving who can touch what is harder than it should be. We need auditable, least-privilege access governance that fits our hyperscaler, supports reviews and fast revocation, and can pass a large parent group's security due diligence.
We run our platform across two major public clouds and struggle to see misconfigurations in one place. Policies drift between environments, and fixes happen twice. A good solution must give a single unified posture view, enforce consistent policies across both clouds, cover container workloads, and flag risks that matter to a security review. Single-cloud-only tools are no use to us.
We run shared research workspaces where specialists in many countries analyse sensitive health records. Each new jurisdiction adds data protection duties we must prove, not just claim. We need a solution that maps obligations per region, produces audit-ready evidence on demand, fits inside customer-controlled cloud tenancies, and stays aligned with European health data space rules.
We wish for one control layer that sits around every coding and delivery agent we roll out. It should give each agent its own identity, vault its secrets, require human approval before risky actions, and cap spend per team. We would judge it on audit trails fit for regulated finance, plug-in to our identity systems, and global support.