AI Phishing Defense

Your inbox isn’t protected from context.

Phishaver scores every inbound email against each recipient’s 90-day communication history and live OSINT signals — catching spear-phishing that rule-based gateways miss because they only look at indicators, not intent.

8–14% Gateway Miss Rate (2024)
22 min Dwell Time Without MFA
800ms LLM Score Per Inbound Message
$38K–$90K Mid-Market Incident Cost

Context-aware detection. Not just another blocklist.

LLM-Powered Intent Scoring

Phishaver reads every inbound message through a fine-tuned LLM trained on labeled spear-phishing corpora from MSSP partners. It scores urgency framing, impersonation patterns, and financial-action requests against known attack playbooks — even when every URL and attachment hash is clean. The intent score writes to a custom email header within 800 milliseconds, before the recipient’s inbox renders the message.

LLM-Powered Intent Scoring

Relationship Graph Baseline

On initial connection, Phishaver ingests 90 days of message metadata — sender, recipient, subject-line hash, reply-chain depth, timing — to build a communication baseline for each employee. A message from a domain that looks like a known contact but isn’t in the relationship graph gets flagged independently of content analysis. That catches display-name spoofing and lookalike-domain attacks before any LLM scoring runs.

Relationship Graph Baseline

OSINT Context Layer

Phishaver maintains a continuously refreshed feed of domain registration events, SSL certificate transparency logs, and reported phishing infrastructure from Cofense and shared threat-intel sources. When an inbound message arrives from a recently registered domain or a sender IP in current campaign reports, that OSINT signal merges with the content score to produce a combined threat indicator. You see threats before they accumulate enough volume to hit commodity blocklists.

OSINT Context Layer

Up and running in under 15 minutes.

Phishaver connects directly to your existing email platform. No MX record changes. No mail-routing disruption. Your analysts start seeing context-enriched alerts the same day.

01

Connect your email platform

Authorize Phishaver via the Google Workspace or Microsoft 365 API. The OAuth connection takes under 15 minutes and requires no changes to your MX records, DNS configuration, or existing gateway rules.

02

Build per-mailbox baselines

Phishaver ingests 90 days of message metadata across every mailbox to construct communication graphs and writing-style profiles for each employee. No message body content leaves your tenant during this phase.

03

Score every inbound message

From that point, every inbound email passes through the LLM inspection layer. Intent scores write to custom headers within 800 milliseconds. High-confidence threats surface in the SOC queue with plain-English evidence summaries attached.

04

Remediate with one click

When your analyst confirms a threat, Phishaver quarantines the message across all affected mailboxes in the tenant and logs the full remediation scope to the audit trail. PagerDuty and Splunk receive the alert through the integrations you already have in place.

The problem Phishaver was built to solve.

8–14%

Spear-phishing bypass rate

Mid-market organizations running Proofpoint or Mimecast saw 8–14% of spear-phishing emails reach the inbox undetected in 2024 benchmarks. Rule-based gateways block known-bad indicators well. They don’t model intent.

800ms

LLM scoring latency

Phishaver’s LLM inspection layer scores every inbound message within 800 milliseconds of delivery. The risk score writes to the email header before the recipient’s client renders the message — giving your SOC a head start, not a retrospective.

22 min

Median dwell time to compromise

When MFA is absent, the average time from first malicious email delivery to credential compromise is 22 minutes. At mid-market companies, that window is often wider than the SOC shift-change interval.

See what your gateway is missing.

Request access to Phishaver and we’ll walk through a live analysis of your inbound email traffic — showing exactly which message patterns your current gateway doesn’t score for context.