For many organizations, building and running a Security Operations Center (SOC) presents an impossible choice. If you’re a small, nimble security team setting up your program, you can either invest heavily in tools, hire detection engineers and analysts, or outsource entirely to an MSSP/MDR. Both options have trade-offs: one demands headcount and tooling you may not have, the other surrenders control with unclear outcomes. If you already have a SOC, the challenge is different but just as pressing. Every new service or cloud workload you deploy adds sources to monitor, detections to maintain, and alerts to investigate, and you’re unlikely to get the budget to match this increase with headcount. The result is blind spots, missed alerts, and analyst burnout.
We believe there’s a better way. After founding Exaforce, we set out to build a full-lifecycle AI SOC platform, bringing agentic AI to every stage of security operations, including threat detection, alert triage, investigation & threat hunting, and response. Available as a SaaS platform or a fully managed MDR service, Exaforce is designed to help teams work faster, more accurately, with greater confidence, and with much lower TCO compared to traditional SOC tooling and services.
Why a full-lifecycle AI SOC matters
Present security operations tooling, even those attempting to bolt on AI capabilities, were not built for today's IaaS, SaaS, Identity, and AI-workload attack surfaces. Stitching together signals from modern application stacks takes time and expertise most SOCs can't spare, especially smaller teams getting started or mature SOCs already stretched thin.
Exaforce solves this with Exabots, task-specific AI agents, and an Advanced Data Explorer. Exabots operate in autopilot or copilot mode, augmenting all critical SOC tasks. The Advanced Data Explorer empowers SOC teams to easily query and investigate beyond traditional SIEM event data, combining logs, identity, configuration, code context, and threat intelligence data, and makes it available through natural language queries or a Business Intelligence-like interface with filters and charts. This modern architecture, combined with the data engineering and transformation work we are doing, significantly reduces storage costs for IaaS and SaaS logs that account for the majority of log volume in modern environments. Both capabilities are powered by a purpose-built multi-model AI engine blending deep learning, machine learning, knowledge graphs, and LLMs for comprehensive reasoning.
The result is high-accuracy detections, context-rich triage, and accelerated investigations, helping smaller teams launch a capable SOC in hours, enabling mature SOCs to operate faster and more accurately, all while reducing total cost of ownership (TCO).
Detect and stop more cloud threats
Exaforce delivers out of box threat detections across critical IaaS, SaaS, and identity environments. We cover AWS, GCP, Google Workspace, GitHub, Atlassian, OpenAI, and more that go beyond UEBA techniques.
Building effective UEBA and anomaly detection using legacy tooling is no small task. It requires a deep understanding of the services you are protecting and pertinent entities to model accurate detections. Most large enterprises attempting to do this well staff entire teams of detection engineers and data scientists. Even still, existing anomaly detection and UEBA approaches weren't built for cloud identities and resources, and tend to generate excessive false positives.
Exaforce instead combines advanced anomaly detection with LLM reasoning capabilities. Anomalies become "interesting signals" that LLMs stitch together with business context and reasoning specific to a customer's environment. Exabot can reason with configuration data, code repositories, identities, and threat intelligence, not just event data.
The result is highly accurate, actionable threat detections that provide coverage for even the smallest SOC teams and fill blind spots for mature SOC teams grappling with the ever growing number of new services they have to monitor.
Automated triage beyond Tier 1 analysis
When alerts arrive from Exaforce detections, cloud-native tools, or your SIEM, Exabot Triage performs investigations that go far beyond typical Tier 1 analysis. Unlike traditional triage that relies on point-in-time events, Exabots leverage deep environment knowledge and our anomaly detection engine to reason about behavior over time.
Exabots correlate threats across multiple detection sources. They create complete attack narratives that would otherwise appear as isolated alerts. Each investigation enriches alerts with identity context, peer baselines, and historical outcomes before issuing clear verdicts of False Positive or Needs Investigation.
When users hold the most accurate context, Exabots reach out directly. This saves countless hours of manual verification that plagues most SOC teams. Natural-language Business Context Rules capture your business priorities, fine-tuning AI analysis with knowledge bespoke to your environment, reducing false positives for activity considered normal in your environment.
When performing these actions, Exabots operate in autopilot or copilot modes. Analysts can review the analysis while asking follow-up questions, all within the same platform. No context switching to SIEM is required to retrieve additional information to aid in an investigation.
Faster investigations and threat hunting
In most SOCs, investigations face a fundamental data problem. Without a SIEM, security teams search across multiple data sources with different retention policies, resulting in insufficient data to conduct an investigation and the daunting task of stitching information together when the data is available. With a SIEM, they're limited to event data and must write complex queries to answer basic questions such as which entity performed what actions, and what was the impact.
Exaforce's Advanced Data Explorer goes beyond traditional SIEMs. It unifies events, identity, configuration, code context, and threat intelligence with rich relationships in a purpose-built user experience. The data is queryable via natural language search or through a business intelligence-like interface that enables true data discovery and visual querying. The data is stored in a fast in-memory database that enables real-time investigations, while a data warehouse supports longer-term analysis.
Similarly, threat hunting becomes effortless using the data explorer and Exabot Search. For example, you can ask Exabot Search to retrieve information on known exploits from the web, prompt the system to extract indicators of compromise, then search for those indicators across your entire environment, all via natural language.
By combining Advanced Data Explorer with Exabot Search, teams overcome traditional investigation barriers and gain visibility beyond what a SIEM can deliver.
End-to-end response workflows
Exaforce goes beyond ticket creation, integrating with Slack and Teams to confirm activity with users and managers, and with identity providers like Entra ID to automate password resets, MFA resets, or session terminations. Analysts can respond manually or allow Exabot to act autonomously, saving precious analyst time.
Every case is automatically populated with the related findings, resources, and sessions, so context flows seamlessly from detection to action. Built-in case management and two-way sync with ticketing systems like Jira keep collaboration smooth and reduce handoff delays, accelerating containment and remediation.
Proactive risk management
Security is also about preventing threats and the posture of an asset can assist in the investigation of an alert. Exaforce continuously assesses posture risks across identities, cloud resources, and SaaS applications, such as misconfiguration risks and unused permissions. These insights highlight the highest-impact risks so teams can act before attackers can exploit them. This same context is added as context to threat detections and strengthens alert triage and investigations done by Exabots, improving accuracy and prioritization.
Get started with Exaforce
Our mission is to boost SOC productivity and accuracy by 10x with AI, helping small teams stand up a world-class SOC without friction and enabling existing teams to scale coverage, speed, and quality of detection and responses without scaling headcount.
Whether you want to augment an existing SOC, build one from scratch, or offload operations with MDR, Exaforce brings agentic AI to the entire security operations lifecycle, not just Tier-1 workflows. Request a demo to see how quickly you can go live and close the loop from detection to response.
