Priam AVA vs Proofpoint Satori agents
Quick answer
Priam AVA (autonomous L1 alert triage and investigation agent with evidence-backed verdicts) (Priam Cyber AI (Priam Cyber AI Ltd)) and Proofpoint Satori agents (Abuse Mailbox Agent and DLP Triage Agent) (Proofpoint) are both listed in the Security category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
Priam AVA (autonomous L1 alert triage and investigation agent with evidence-backed verdicts) (Priam Cyber AI (Priam Cyber AI Ltd)) and Proofpoint Satori agents (Abuse Mailbox Agent and DLP Triage Agent) (Proofpoint) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field | ||
|---|---|---|
| Vendor | Priam Cyber AI (Priam Cyber AI Ltd) | Proofpoint |
| HQ | United Kingdom · Europe | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | Security |
| Summary | London-based agentic SOC product: AVA investigates every alert from SIEM/EDR/XDR sources by testing malicious and benign hypotheses against the customer's environment and closes it with a defensible verdict (true positive, false positive or inconclusive with the missing evidence named), producing an audit-ready investigation report for enterprise SOCs and MSSP/MDR teams. | Agentic AI layer inside Proofpoint's platform. The Satori Abuse Mailbox Agent classifies every user-reported email that needs manual review (phish, malware, spam or clean) and can trigger configured quarantine or tagging workflows. A DLP Triage Agent does the same for data-loss alerts, with guardrails, chat explanations and audit logs. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | alert triage, case investigation, security operations, threat detection | phishing triage, email security, alert triage, security operations |
| Pricing (as published) | Not published (free single-alert pilot; otherwise via briefing/quote) | Not published as list prices. The Abuse Mailbox Agent datasheet describes an action-based model (pay for automated work performed, not users, tokens or seats) without dollar amounts. |
| Pricing model | quote | quote |
| Primary source | https://priam.ai/ | https://www.proofpoint.com/us/platform/satori |
| Last checked | 2026-10-20 | 2026-10-19 |
| Official site | https://priam.ai/ | https://www.proofpoint.com/us/platform/satori |
FAQ (from this dataset)
What is the difference between Priam AVA and Proofpoint Satori agents?
Both are listed under Security. Shared tasks: alert-triage, security-operations. Priam AVA-only tasks: case-investigation, threat-detection. Proofpoint Satori agents-only tasks: phishing-triage, email-security. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
Priam AVA (autonomous L1 alert triage and investigation agent with evidence-backed verdicts): Not published (free single-alert pilot; otherwise via briefing/quote) Proofpoint Satori agents (Abuse Mailbox Agent and DLP Triage Agent): Not published as list prices. The Abuse Mailbox Agent datasheet describes an action-based model (pay for automated work performed, not users, tokens or seats) without dollar amounts.
Where are Priam AVA and Proofpoint Satori agents headquartered?
Priam AVA (autonomous L1 alert triage and investigation agent with evidence-backed verdicts) publishes HQ in United Kingdom. Proofpoint Satori agents (Abuse Mailbox Agent and DLP Triage Agent) publishes HQ in United States.
Also in this use case
Other verified listings that share a task tag or use-case group with Priam AVA (autonomous L1 alert triage and investigation agent with evidence-backed verdicts) or Proofpoint Satori agents (Abuse Mailbox Agent and DLP Triage Agent). Open a pair page or the use-case table — this is not a ranking.
- Napier AI Continuum responsible agents (screening alert triage and auto-clearing) — Configurable AI agents in London-based Napier AI's Continuum financial-crime platform. In Client Screening and Transaction Screening, compliance teams build and tailor 'responsible agents' in a no-code sandbox and choose how much autonomy to hand over, from flagging sanctions, PEP and adverse-media matches for review to clearing known patterns automatically before they reach a queue, with every agent action explained and captured in the audit trail.
- SOCRadar AI Agents (specialist threat-intelligence, attack-surface, digital-risk and alarm-triage agents) — Roster of specialist agents inside the SOCRadar threat-intelligence platform: customers deploy agents, set each one's skills, scope and access, and green-light sensitive steps. Agents cover threat-actor and ransomware intelligence, detection-rule writing, IoC enrichment, identity/credential exposure, vulnerability analysis, brand and dark-web monitoring, phishing-domain hunting, external attack surface and Shodan recon, and alarm triage that records verdicts and asks before changing an alarm's status. · SOCRadar AI Agents (specialist threat-intelligence, attack-surface, digital-risk and alarm-triage agents) pair comparison
- Strike48 agentic SecOps platform (pre-built SOC agent team and no-code agent builder over federated logs, cloud or air-gapped on-prem) — Agentic orchestration platform for SOC and IT teams from the company behind the Devo log platform: purpose-built micro agents triage and investigate alerts, analyse phishing, hunt threats, write and tune detections and help with compliance over logs queried in place across SIEMs and data lakes, with configurable human approval and an audit trail; available as SaaS, isolated compute or an air-gapped on-prem appliance. · Strike48 agentic SecOps platform (pre-built SOC agent team and no-code agent builder over federated logs, cloud or air-gapped on-prem) pair comparison
Use-case comparisons
- AI SOC and security-analyst agents — 51 listings (Security operations, alert investigation and threat detection)
- Email security and phishing-response AI agents — 16 listings (Triage of user-reported phishing, autonomous email threat remediation and AI-run phishing simulation)
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