Overview
Email phishing protection can’t end when a message reaches the inbox. It needs to adapt as threats evolve and protect people wherever phishing puts them at risk.
Detect threats others miss
Surface novel phishing, BEC, malicious URLs, and other evasive attacks with behavioral AI and real-time threat intelligence.
Protect beyond delivery
Continue analyzing threats after delivery and as users interact with risky links, content, and websites.
Reduce risk over time
Use threat exposure and behavior insights to strengthen phishing prevention and deliver targeted learning to high-risk users.
Email Security
Proofpoint Core Email Protection blocks phishing, BEC, credential theft, malware, and other evasive attacks before users engage. AI-powered detection helps security teams stop 99.999% of threats while minimizing false positives and giving analysts essential context to investigate malicious messages.
Intent-Based AI Protection
Detect novel threats by analyzing language, relationships, behavior, and visual content for signs of malicious intent.
URL and Attachment Defense
Detect credential phishing, malware, and ransomware by analyzing suspicious URLs and attachments.
Real-Time Threat Intelligence
Identify emerging campaigns and tactics with real-time intelligence on evolving threats and attack patterns.
Post-Delivery Protection
Continuously reevaluate threats as users interact with links and websites, including risks that emerge after delivery. Quickly analyze reported phishing, identify related malicious messages, and automate remediation across affected inboxes.
Click-Time Protection
Block malicious links at click time by reevaluating URLs that become dangerous after delivery.
Browser Isolation
Protect users from risky websites with an isolated environment that helps prevent credential theft and malware.
User-Reported Phishing Analysis
Identify real threats faster and reduce manual work by automatically analyzing user-reported phishing messages.
Automated Remediation
Find and remove malicious messages across inboxes while giving analysts the context to understand and contain attacks.
User Awareness Training
Focus phishing education on the people and behaviors that create the most risk. Proofpoint ZenGuide delivers targeted simulations and adaptive learning to help users recognize and report attacks while giving security teams a clear view of how human risk changes over time.
Threat-Informed Phishing Simulations
Challenge users with realistic simulations, including turning real phishing attacks into safe training with AI ThreatFlip.
Risk-Based Learning
Deliver adaptive, in-the-moment learning tailored to each user's risk, role, behavior, and threat exposure.
Track behavioral signals across users and groups to pinpoint where intervention is needed most.
Why Proofpoint
| Capability | What to look for | Proofpoint phishing protection |
|---|---|---|
| Advanced phishing detection | Detection that goes beyond known indicators, analyzing behavior, context, relationships, content, and threat intelligence | Uses multi-model behavioral AI and real-time threat intelligence to detect novel phishing, BEC, impersonation, and other evasive attacks |
| Continuous protection | Protection that continues after delivery and re-evaluates risk as users interact with links and websites | Reevaluates URLs at click time and isolates risky websites to help stop threats that emerge or change after delivery |
| Automated response | Fast analysis of reported messages, related-threat identification, and remediation across affected inboxes | Automates reported-message analysis, investigation, and removal to reduce manual work and contain threats faster |
| Human risk reduction | Training and controls informed by the threats people face, their behavior, and their level of risk | Connects threat exposure and user-risk insights with targeted simulations, adaptive learning, and behavioral measurement |
Customer Stories
"Our employee phishing click index remains at industry-best levels, at or below 15 clicks per 100,000 attacks ... And our employees continue to show improved phishing awareness."
Global Threat Leader
Fortune 100 Manufacturing Company
"We're not getting nearly as many phishing email incidents. Of those that do get through, we're able to easily track them down and remediate, all from [one] admin platform."
Lachlan McGill
Cybersecurity Manager, Australian Football League
"What used to take two to three days to investigate now takes less than an hour."
Scott Lymer
Sr. InfoSec Analyst, Shelter Insurance
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Related Resources
Organizations can prevent phishing attacks with layered defenses that reduce the chances of a threat succeeding at each stage. Block malicious email, URLs, and attachments before users engage; continue evaluating links after delivery; and quickly analyze and remove reported threats. Pair these controls with targeted phishing training based on real threats and user risk so people are better prepared when attacks reach them.
Enterprise anti-phishing solutions should combine advanced email phishing protection with behavioral AI, threat intelligence, URL and attachment analysis, click-time protection, automated remediation, and user reporting. They should also provide visibility into human risk and support targeted training for users who face greater phishing exposure.
Organizations can prevent spear phishing attacks by detecting more than known malicious content or senders. Behavioral AI can analyze communication patterns, relationships, language, and intent to identify targeted phishing messages that appear legitimate. Additional controls should protect login credentials, automate response, and prepare high-risk users for targeted attacks.
Yes. Phishing protection can continue evaluating links and other threats after a message reaches the inbox. Click-time analysis can identify URLs that become malicious after delivery, while browser isolation can protect risky interactions. Automated response can also identify and remove related phishing messages from affected inboxes.
Phishing protection can reduce human risk by connecting threat exposure and user behavior with targeted education. Phishing simulations and adaptive learning can prepare users for the attacks they are most likely to face, while reporting and risk insights help security teams identify where additional protection or intervention is needed.
AI can detect advanced phishing by analyzing signals that rules and known threat indicators may miss. Behavioral AI can evaluate language, relationships, communication patterns, visual content, and other context to identify malicious intent behind phishing, BEC, impersonation, and other evolving cyberthreats.
