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TAP notification alerting is most valuable when there is meaningful risk to users—especially when a threat has been delivered and may require immediate investigation and response. A delivered malicious impostor message (B) is a high-priority condition because it can indicate BEC/executive impersonation or supplier impersonation, which often lacks malware indicators and can lead directly to financial fraud or credential theft. Proofpoint workflows emphasize alerting on delivered threats because “blocked at the gateway” events are already contained, while delivered impostor threats demand rapid action: validate recipient exposure, check user interaction (reply/forward/click), execute post-delivery remediation (TRAP pull/quarantine), and coordinate business verification steps (finance call-back procedures). While blocked clicks can be telemetry, the alert scenario in TAP training contexts typically highlights delivered impostor threats as the condition warranting immediate attention since the attacker reached the user. TAP’s design aligns with IR triage: prioritize what is active, delivered, and likely to cause harm if not rapidly contained.

The People Page is a user-centric investigation view designed to help analysts quickly identify who is being targeted and who is most at risk/impacted by threats (D). Instead of starting from a single message, responders can pivot from user risk signals—Attack Index, exposure metrics, click behavior, VIP status, and repeated campaign targeting—to build a prioritized queue for investigation. In Proofpoint IR operations, this supports rapid triage during active phishing/BEC waves: analysts identify the highest-risk users first (those with permitted clicks or delivered accessible threats), then perform immediate follow-up actions such as credential resets, session/token revocation, mailbox rule review, and targeted comms. The People Page is not an access control manager and it is not the place to configure granular filtering rules per user (that’s policy/admin territory). It’s also distinct from security awareness simulation dashboards, though it can inform who should receive training based on risky behavior. As part of detection and analysis, the People Page helps convert large-scale threat telemetry into actionable, person-focused response steps, minimizing dwell time and reducing the chance that the most exposed users are missed.

The “Targeted” category (B) is used to surface threats that show targeting characteristics—commonly including VIP-focused campaigns, department/role targeting, and sometimes geography-linked targeting indicators depending on available telemetry and configuration. In Proofpoint triage, “At Risk” and “Impacted” are exposure/interaction oriented (who received, who interacted/clicked), while “Highlighted” typically flags notable techniques or analyst-marked items (e.g., suspicious/interesting, false positive indicators, notable patterns). “Targeted” is the fastest way for analysts to focus on high-consequence threats because VIPs and specific geographies often correlate with executive impersonation, wire-fraud pretexting, supplier fraud, or regionally themed campaigns. Operationally, this filter supports a risk-based IR queue: targeted threats are escalated earlier, scoped wider (adjacent executives/assistants, finance users, supplier comms), and handled with more aggressive containment (blocking infrastructure, retroactive pulls, identity checks). It also supports proactive defense: targeted patterns can trigger tighter policies for high-risk cohorts (VIP protections, stricter URL access, enhanced bannering, and stricter authentication handling).

Heuristic, signature, and reputation-based methods are classic static analysis approaches (D) because they evaluate artifacts and indicators without requiring full execution observation of the payload’s runtime behavior. In Proofpoint email security, these methods appear across attachment and URL analysis pipelines: signature-based matching for known malware patterns, heuristic rules for suspicious structures (macro patterns, obfuscation traits, spoofing characteristics), and reputation scoring for URLs/domains/IPs based on historical maliciousness and observed telemetry. This differs from behavioral/dynamic analysis, which relies on execution in a sandbox environment to observe actions (process injection, network callbacks, file writes). In day-to-day IR triage, static techniques are often the first layer of detection because they are fast and scalable, enabling immediate condemnation and quarantine decisions at the gateway. Analysts then use TAP dashboards to corroborate static verdicts with additional context (campaign patterns, click behavior, impacted users) and decide containment actions (TRAP pulls, blocklists, user remediation). Understanding that these are static techniques helps responders interpret verdict confidence and know when additional dynamic evidence is needed.

In Proofpoint TAP/Threat Protection Workbench-style workflows, “Cleared” indicates the threat is no longer considered active or dangerous in the environment. This status is used after Proofpoint systems (and/or analyst actions) determine that the malicious component is neutralized—commonly because URLs are now blocked, the threat has been remediated post-delivery (pulled/quarantined), or further analysis reclassified the item as safe. In containment terms, “Cleared” communicates that the immediate risk has been reduced: users should not be able to access the malicious URL through URL Defense, and attachment-based threats may have been condemned and/or removed from mailboxes where applicable. IR teams still use the cleared state as a pivot point: they confirm whether any users were already impacted (clicks/credential entry), validate that remediation actions succeeded across all intended mailboxes (no “unavailable” gaps), and ensure preventive controls are in place (custom blocklists, authentication enforcement, banner rules, supplier controls). “Cleared” is not the same as “not important”; it means the threat no longer poses an ongoing hazard, but scoping and user follow-up may still be required.

A high-quality incident report captures what the adversary did in a way that enables prevention and detection improvements. Including adversary tactics and techniques (C) is essential because it translates raw artifacts (emails, URLs, headers, click events) into actionable security engineering outcomes: which initial access method was used (credential phishing vs BEC), which impersonation technique (display name, lookalike domain, supplier compromise), what persistence was attempted (mailbox rules/forwarding, OAuth consent), and what objectives were pursued (invoice fraud, data theft, lateral phishing). In Proofpoint-centered IR, mapping tactics and techniques supports targeted control tuning: URL Defense policy, attachment sandboxing, impostor rules, DMARC enforcement, and TRAP automation; it also improves analyst playbooks (what pivots to run next time, what indicators to hunt). The incident response plan (B) is a reference document, not an incident-specific report item. Network diagrams (A) may be helpful in some incidents but are not always relevant for email-led events. Threat landscape reporting (D) is contextual intel, but the report must focus on what occurred in this incident and what to change to reduce recurrence, which is best captured via tactics/techniques.

In TAP threat and campaign views, the columns typically reflect a funnel of exposure and interaction. “Intended” (B) represents the number of targeted recipients—i.e., how many users the attacker attempted to reach (often including messages that were blocked or not ultimately delivered). “At Risk” usually reflects users who actually received the message (delivered) and were therefore exposed, while “Impacted” reflects users who interacted with the threat (clicks, credential entry, or other measurable engagement depending on the threat type and telemetry). “Highlighted” is a classification/flagging mechanism (not a population count of targets). For IR detection and analysis, “Intended” is crucial for estimating the campaign’s scope and potential blast radius at the earliest stage—before you know how many were delivered or clicked. Analysts use Intended to decide whether to escalate, whether to run broad retroactive searches, and whether to apply preventative blocks (domains/URLs) quickly. Then they pivot to At Risk and Impacted to prioritize immediate containment actions for exposed and interacting users.

Attack Index is a user-level risk/burden metric intended to help SOC teams prioritize which people to investigate first based on the amount and severity/diversity of threat activity directed at them (and often their exposure/interaction, depending on module). The report that directly supports that workflow is “Very Attacked People,” which is designed to surface users with the highest Attack Index and concentration of targeted threats. Operationally, this aligns with IR queue management: instead of treating all alerts equally, analysts use user-centric risk ranking to focus on likely compromise candidates (e.g., frequent recipients of credential phishing, repeated exposure to the same campaign, or elevated threat severity). “Top 10 Recipients” is volume-oriented and may include benign bulk mail; “Top 10 Clickers” is behavior-oriented but does not necessarily reflect overall threat burden; and “VIP Activity” is scoped to a subset (VIPs) rather than the complete organization’s risk ranking. In Proofpoint-led IR best practice, this report is commonly used to drive daily standups, assign investigations, and justify proactive account checks (MFA posture, suspicious logins, mailbox rules) for the highest-risk users.

Proofpoint TAP Dashboard is the primary interface for threat intelligence and threat context about attacks observed against your organization (C). In IR practice, TAP provides threat-level enrichment such as threat type (credential phishing, malware, BEC/impostor), campaign clustering, indicators (URLs, domains, attachment hashes), and exposure/interaction telemetry (Intended, At Risk, Impacted, clicks). This is the data analysts use to prioritize investigations, identify related messages, and determine whether a threat is isolated or part of a broader campaign. By contrast, PoD (Email Protection) is the mail security administration and policy layer; it enforces gateway decisions but is not the main threat intel workbench. Smart Search is a message trace tool focused on tracking messages and dispositions rather than threat intelligence aggregation and campaign analytics. TRAP is the post-delivery remediation capability (quarantine/pull/orchestration) rather than the system that provides consolidated threat intelligence views. For Proofpoint-focused detection and analysis, TAP is the investigative hub that connects threat research, verdicts, and user exposure into a single operational picture.

TAP is Proofpoint’s detection and analysis layer for advanced email threats, with core capabilities focused on URL-based threats and attachment-based threats. URL Defense (C) rewrites links and performs time-of-click analysis to block newly malicious destinations and provide click telemetry for investigations. Attachment Defense (E) analyzes file payloads (including sandbox/detonation and static reputation approaches depending on configuration) to detect malware and suspicious content that may evade traditional gateway signatures. These two capabilities are central to TAP’s role in detection and analysis: they generate verdicts, campaign clustering, and exposure metrics (Intended/At Risk/Impacted) used by SOC teams to prioritize response. Post-delivery remediation (“pull from inbox” or “remediate post-delivery”) is not TAP’s primary function; that is typically handled by TRAP/Cloud Threat Response capabilities (A/D). User training is handled by Proofpoint Security Awareness/ZenGuide solutions (B), which complement TAP by reducing click rates and improving reporting, but are not TAP threat protection capabilities. TAP’s value in IR is turning email threat content (URLs/attachments) into actionable, scoped, measurable incidents.