Spam stopped at every layer before it reaches your team.
Microsoft 365 built-in filtering catches less than 70% of spam. IP Four deploys a full enterprise multi-layer stack combining reputation checks, content analysis, and machine learning to achieve 99.9% catch rates across UK organisations.
Every filtering layer your organisation needs to stay clean.
From IP reputation to machine learning, each layer catches what the previous one misses. Together they deliver catch rates no single-layer solution can match.
IP Reputation and Sender Scoring
Every inbound email is checked against global reputation databases covering billions of known spam sources. Emails from low-reputation IPs are blocked or scored before any content analysis begins.
Content and Heuristic Analysis
Message headers, body content, HTML structure, and embedded links are analysed against thousands of spam signatures. Heuristic scoring identifies new spam patterns not yet in signature databases.
Machine Learning Classification
Adaptive machine learning models trained on billions of spam and legitimate messages classify each email with high accuracy. Models update continuously as new spam techniques emerge.
Authentication Enforcement
SPF, DKIM, and DMARC records are validated at the gateway. Emails failing authentication checks are scored accordingly, with policy-based quarantine or rejection for hard failures.
Real-Time Threat Intelligence
Spam signatures and reputation data updated continuously from global threat intelligence feeds. New spam campaigns are identified and blocked within minutes of appearing anywhere in the world.
Tunable Sensitivity Controls
Filtering sensitivity is configurable per organisation, department, and individual user. Aggressive filtering for high-risk roles, relaxed settings where false positives carry business risk.
From assessment to 99.9% catch rates.
Current Filter Assessment
We analyse your existing email flow, spam volumes, and false positive rates. Identify exactly what is getting through and what legitimate email is being incorrectly blocked by current controls.
Layer Stack Design
Multi-layer filtering architecture designed for your organisation. Reputation, content, machine learning, and authentication layers configured in the correct sequence for maximum effectiveness.
Baseline Deployment
Filters deployed in monitoring mode to establish baseline performance. Two-week tuning period minimises false positives before enforcement mode is activated across your organisation.
Sensitivity Tuning
Per-department and per-user sensitivity settings configured based on role requirements. High-risk roles receive aggressive filtering. Business-critical senders are whitelisted with verification.
Performance Validation
Catch rates, false positive rates, and processing latency validated against agreed benchmarks. Adjustments made until all performance targets are consistently met.
Ongoing Monitoring and Review
Monthly performance reviews with catch rate and false positive reporting. Filter stack updated as new spam techniques emerge. UK-based support for tuning requests and policy changes.
How we have helped UK businesses stay clean.
Spam Overwhelming a Professional Services Firm
A Manchester accountancy firm was receiving over 200 spam emails per day across their team. Microsoft 365 built-in filtering was catching less than 60% of spam, leaving staff to manually delete the rest.
Multi-layer filtering deployed with reputation, content, and machine learning layers. Spam catch rate reached 99.8%. Staff reported significant productivity improvement within the first week.
False Positives Blocking Client Correspondence
A Birmingham law firm had aggressive spam filtering that was blocking legitimate client emails. Important correspondence was disappearing into quarantine without notification, damaging client relationships.
Filtering sensitivity retuned with per-sender whitelisting and quarantine digest notifications. Zero legitimate client emails lost in the six months following deployment.
Malware Campaigns Hidden in Spam
A Leeds healthcare provider was receiving spam campaigns containing malicious attachments disguised as invoices and delivery notifications. Basic filtering was missing a significant proportion.
Multi-layer stack with attachment analysis added. Malicious attachment campaigns blocked at gateway. Catch rate for malware-bearing spam increased from 71% to 99.6%.
Stop spam at every layer and give your team their time back.
Our free spam audit measures your current inbox noise levels, identifies what is getting through, and shows you exactly how much time your team is losing to spam every week.