Our predictive neural network detects malicious intent at registration, stopping phishing, spam, and malware campaigns before they launch.
We discover hidden campaign domains other feeds overlook, eliminating pervasive C2 communications to obscured attack domains currently undetected.
Eliminate alert fatigue by focusing only on actionable intelligence relevant to emerging and ongoing threat signals.
Higher precision means fewer false positives, letting your SOC operate efficiently with less time wasted on irrelevant alerts.
See how First Watch’s Neural Net blocks and analyzes weaponized domains over time:
Timeline | Attack Progression | First Watch Neural Net |
---|---|---|
Hour Zero | Attackers register a new domain | Real-time monitoring detects suspicious domain registration |
Hour One | Infrastructure staged for attack | Domains detected and proactively classified as malicious |
Hour Two | Domains used in phishing emails | First Watch users block domains, preventing initial access |
Day 6 | First network compromised by attackers, malware deployed | Compromised traffic monitored to uncover further insights |
Day 85 | Initial domain reported as malicious in commercial feeds | Recursive analysis identifies additional threat patterns |
Day 86 | Attackers shift to other undetected domains for phishing and C2 commands | Predictive analytics flag emerging phishing and existing C2 domains |
Day 90 | Initial phishing domain taken down for abuse | Historically archived; surveillance continues |
Day 91+ | Persistent access maintained with obfuscated domains | Entire campaign tracked through recursive monitoring and training |
Where our intelligence makes an impact:
Identify and block phishing domains at registration, preventing harm before it starts.
Detect and block C2 servers invisible to other security feeds.
With 97% prediction precision, SOC teams focus on real threats, minimizing unnecessary alerts.
Block malicious infrastructure from day one, staying ahead of malware campaigns.
Factor | First Watch | Traditional Threat Intelligence Feeds |
---|---|---|
Detection at Registration | ✅ Detection | ❌ Reactive detection post-attack |
Prediction Precision | 97% | 70-85% |
Attack Infrastructure Discovery | 12x more attacker domains discovered | Initial attack domains only |
False Positive Overblocking Risk | Ad trackers, Spam, Suspended domains | Critical software services, sales and marketing tools |
Average Detection Time | First hour | 14 Months |
Neutralize threats before they materialize.
Contact SalesYes, upgrading between Starter, Pro, and Enterprise tiers is seamless.
We consider false positives as domains which may have legitimate use cases, even if those use cases are generally spam, ad trackers, or cybersquatting domains intentionally registered to defensively block domain names.
With industry-leading domain registration visibility, we use a proprietary custom-built neural network trained on billions of data points to identify malicious intent at domain registration, offering unprecedented predictive precision.
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