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Is this your company? Claim itWe provide a spend management platform combining cards, invoices and expense approvals for mid-market finance teams in Europe.
Findings from outside testers and our bounty programme arrive faster than we can sort them. Each one needs a clear owner, a severity call and a ticket in our tracker, and today that routing is mostly manual. A good solution deduplicates reports, assigns owners automatically, tracks fix deadlines, and shows evidence we can reuse in audits.
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We test our controls by hand: sample reviews, walkthroughs, office documents, once a year. By the time evidence is gathered, it is already stale. We want evidence collected continuously, mapped to the several regulatory frameworks we answer to, and pulled from our ticketing and cloud tooling. It must not need a dedicated admin or a generic checklist.
Large enterprise buyers expect a current security attestation, and refreshing it every year still eats far too much of our small team's time during rapid migration demand. A good solution must collect evidence automatically across more than one public cloud, stay affordable at our size, and avoid pulling engineers off product work. Trial first, please.
We sit in front of consumer sites, and language-model agents now arrive in growing waves. Some are legitimate shopping assistants, others are impostors scraping or abusing checkout flows. We need dependable signals that tell them apart without blocking real customers. A good solution must add negligible latency, hold up under retail peaks, and explain each decision clearly.
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 detection tool that understands hosts running customer training jobs, ships tuned content for accelerator clusters, and exposes raw telemetry. We would judge it by how many hand-written rules it replaces, noise level during heavy jobs, onboarding speed without services, and whether our small team can tune it alone.
We are formalising our compliance programme ahead of a bank charter, and regulatory reporting is the gap. Today it is scattered and manual. A good solution must track regulatory changes, map them to our controls, keep exam-ready evidence in one place, and feed our existing ticketing. Bank partners will scrutinise any vendor, so credibility matters.
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 already passed one audit and now want an international certification next, but writing every policy from scratch is eating our small team's time. We need tooling that supplies solid policy templates, maps what we already have to the new standard, and keeps evidence collection light. Setup must suit a first-time IT lead and a modest budget.
We are letting AI agents launch simulation jobs on our platform, and that worries us. We need hard autonomy limits, not guidelines, plus action logs our auditors will accept as evidence. A good solution must run entirely inside our authorised boundary, never move data out, and fit federal assessment expectations. Who has handled this under strict data rules?
Larger customers keep asking whether we hold a formal security certification, and today we answer with hosting commitments and local-market assurances instead of a broad attestation. We need a way to prepare for an audit without drowning a small engineering team. A good solution must keep evidence collection mostly automatic and keep all data in European data centres.
We wish for one place that keeps controls and evidence current across every framework we claim, with crosswalks between healthcare, payment and secure development requirements. We would judge it by how little manual evidence chasing remains before an audit, whether pricing is published upfront, and whether it fits a small budget and our existing pipeline.
We serve investment firms whose security questionnaires keep growing, and every audit cycle eats far too much of our team's time. We want evidence collection and control monitoring automated, with clear audit logs, financial services grade security, and responsive support. Our budget is modest, so pricing must fit a small team.
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