C1.ai vs Exaforce

About Exaforce

Exaforce sells a platform built on a unified data layer and real-time knowledge graph, with agents that help security teams detect, triage, investigate, and respond to threats. Four Exabots cover detection, triage, investigation, and response on a unified, real-time view of the customer environment. Exaforce lets customers run the platform with an in-house team, or have Exaforce run it with its analysts and Exabots working as an extended SOC.^[1][3][4][5]

Exaforce pairs its agentic AI with a global team of experts to deliver MDR. The global Exaforce SOC pairs responders with agentic AI to deliver hands-on monitoring, investigation, and containment around the clock.^[5]

Exaforce builds on a dedicated data layer that ingests logs and configuration across identity, cloud, endpoint, code, and SaaS. Exaforce ingests logs, alerts, and telemetry from over 100 sources, including GitHub and Google Workspace, and normalizes them into a single security data layer. Exaforce stores all raw data in real time, then normalizes and enriches telemetry. Exaforce's data platform uses storage tiering to keep hot data accessible while retaining full history for audits. Exaforce connects through agentless, API-based connectors that pull telemetry from cloud, identity, SaaS, endpoint, and code platforms. Exaforce has prebuilt integrations for AWS, Google Cloud, Okta, GitHub, Microsoft 365, CrowdStrike, Wiz, and more, each mapped to a common schema. Exaforce reads from where customer data lives, so customers can start without re-routing pipelines.^[3][4]

At the core of Exaforce is a Multi-Model AI engine that combines data semantics, behavioral baselining, machine learning, and large language models. Exaforce's Multi-Model AI separates data relationships, anomaly detection, and expert reasoning into dedicated models. In the Exaforce platform, the Semantic Model transforms raw data into actionable intelligence, and the Behavioral Model separates real threats from normal activity.^[3][4]

Exabot Detect monitors IaaS and SaaS environments with the Multi-Model AI engine to identify breaches that evade traditional rules and UEBA. Exabot Detect correlates behavioral baselines and contextual intelligence to surface attacks across environments like AWS, Okta, OpenAI, and GitHub. Exabot Triage investigates security alerts across SIEM, EDR, phishing tools, and Exaforce detections. Exabot Triage classifies alerts as False Positive, Benign, or Needs Investigation. Exabot Investigate supports natural language search, visual exploration, and simplified queries across data sources. Exabot Investigate operates independently of any SIEM. Exabot Respond executes response across endpoint, identity, IaaS, SaaS, and email, with out-of-the-box playbooks for common scenarios. Exabot Respond can isolate cloud instances, quarantine or delete malicious emails, block IPs, disable endpoints, reset MFA or passwords, suspend users, and revoke sessions.^{[1][4][5][6][7]}

Exaforce provides an inventory of human, non-human, AI agent, and third-party identities, with their effective permissions, credentials, and actions. Exaforce monitors collaboration, version control systems, and other apps with ML-based detections. Exaforce detects threats in Google Workspace without manual rule creation. For insider threats, Exaforce combines cloud logs, permissions, and HR data into one insider threat narrative. For phishing, Exaforce supports triage and investigation of phishing incidents across the email ecosystem.^{[8][9][10][11]}

Exaforce can either be a customer's primary SOC tech stack or augment an existing SOC investment. Many teams deploy Exabots alongside their current SIEM, EDR, and security stack to handle high-volume tier-1 triage and tier-2 investigation. Exaforce ingests alerts from existing tools, enriches them with unified context, and delivers investigated findings with recommendations. Exaforce is audited and certified by third party standards.^{[1][2][4][6][7][12][13]}