Exaforce has launched an agentic SOC platform designed to bring AI into every stage of security operations, not just Tier-1 analyst tasks. The company’s approach combines multi-model AI with deployment flexibility - either as SaaS or as a fully managed MDR service - giving organizations new options to run an AI-powered SOC without the typical complexity or overhead.
The Problem with Today’s SOCs
Security operations teams are swamped by fragmented telemetry from cloud services, endpoints, identity providers, and applications. Identifying attacks within that noise requires time and expertise most organizations don’t have. Traditional tools were built for an earlier era, while newer AI SOC offerings tend to focus only on triage or investigation, leaving detection engineering, threat hunting, and response largely manual. The result is a patchwork of tools and workflows that depend heavily on scarce human talent.
"Unlike other AI SOC platforms that focus narrowly on Tier-1 triaging and investigations, Exaforce covers the full lifecycle of a SOC with detections, triaging, investigation, and response,”
Ariful Huq, Co-Founder and Head of Product at Exaforce told MSSP Alert.
Exaforce’s Approach
Exaforce positions its platform as an end-to-end AI SOC. Its multi-model AI processes logs, cloud configurations, identity data, code repositories, and SaaS signals, then applies behavioral analytics and reasoning at the level of an experienced analyst.
Huq explained that Exaforce’s multi-model AI engine unites three components - a semantic model, a behavioral model, and a knowledge model built on LLMs. "The multi-model AI engine is intended to mimic a human brain and extends LLM limitations of knowledge cut-off by always being current to both historical data and current data,” he said. “This deep semantic understanding, combined with behavioral insights, allows the knowledge model to make much better decisions in terms of consistency and confidence.”
This layered approach enables Exaforce’s AI to handle tasks typically reserved for Tier-3 analysts, and its feedback loop ensures accuracy improves over time as human overrides are incorporated into the system.
SOC teams interact with Exaforce through task-specific agents - called Exabots - that handle detection, triage, hunting, and response in a single interface. "The key goal with Exabots is to deliver better outcomes for a specific task than what is possible by giving the same raw data to an LLM,” Huq said. "Customers see this reflected in false positive rates dropping by 80–90% and mean time to investigate or close shrinking from days to minutes."
Options for Customers
The platform is available in two ways: as a SaaS product for organizations that want to augment their existing SOC teams, or as a fully managed MDR service.
“Most large enterprises that have existing analyst headcount and operational capabilities should really be looking at SaaS or hosted deployment options to augment their SecOps teams,” Huq said.
“Fully managed MDR is more suitable for enterprises that are early in their SecOps journey or are looking to re-allocate internal resources to prevention and risk reduction. We also partner with MSSPs who want to incorporate Exaforce’s platform into their offerings and avoid conflicts by giving partners first rights to accounts.”
Integration in Real Environments
With SOC teams already juggling SIEMs, UEBA tools, and response platforms, integration becomes a deciding factor.
“For companies without existing tooling, Exaforce can provide the full lifecycle AI SOC without other tools,” Huq said. “For customers with existing investments, we integrate directly with SIEMs, identity providers, cloud services, SaaS platforms, and collaboration tools. A primary use case is to agentically triage and investigate the hundreds of alerts that can be generated by third-party systems, minimizing the manual effort required from SOC teams.”
Exaforce’s direct data ingestion architecture also reduces reliance on SIEMs, allowing the platform to deliver measurable outcomes like faster investigations, fewer false positives, and lower costs in cloud security data management. “Unlike traditional systems layering LLMs onto current offerings for alert triage, Exaforce is AI-native and built from the ground up to infuse AI into every stage of the SOC lifecycle,” Huq noted.
By extending AI across all SOC functions instead of just Tier-1, Exaforce is targeting one of the most persistent challenges in security operations: scaling expertise across limited teams.
As Huq summed it up, “Our integrated approach delivers faster, more accurate security operations with complete transparency and auditability, while freeing human analysts to focus on the threats that matter most.”
