Exaforce

What Exaforce does

Exaforce offers an Agentic SOC Platform and Managed Detection and Response (MDR) service designed to enhance the productivity and efficacy of security and operations (SOC) teams. The platform leverages a transformative multi-model AI engine, combining AI agents ("Exabots") with advanced data exploration to deliver real-time insights, proactive detection and response, in-depth investigations, and automated workflows. Exaforce helps SOC teams respond to threats and breaches faster, with higher precision, greater consistency, and at lower total costs. The platform is built on a unified data layer and real-time knowledge graph, providing speed, context, and reasoning to detect, triage, investigate, and respond to AI-era threats. It can be operated by in-house teams or by Exaforce's analysts and Exabots as an extended SOC. The multi-model AI engine integrates data semantics, behavioral baselining, machine learning, and large language models for deterministic and precise security decisions, avoiding hallucination risks of standalone LLMs. The data platform ingests and unifies high-volume cloud and SaaS telemetry into a single, reliable view for detection, triage, investigation, and response at scale.

Products

• Exaforce PlatformAn agentic SOC platform that allows in-house security teams to operate with Exabots handling detection, triage, investigation, and response across their environment, correlating signals and escalating only what needs human judgment. Provides full visibility into decisions and actions.
• Exaforce MDRA managed detection and response service where Exaforce runs the platform for the customer. Expert analysts and Exabots work together as a 24/7 SOC, handling detection, triage, investigation, and response with full transparency, without the need for additional headcount or SIEM overhead.
• Exabot DetectContinuously monitors critical IaaS and SaaS environments using a Multi-Model AI engine to identify real breaches that evade traditional rules and UEBA. It correlates behavioral baselines and contextual intelligence to surface complex attacks and reduce false positives.
• Exabot TriageAutonomously investigates security alerts across SIEM, EDR, phishing tools, and Exaforce detections. It performs Tier 1 through 3 investigations using enriched, correlated data to classify alerts as False Positive, Benign, or Needs Investigation, cutting through alert noise and improving MTTI.
• Exabot InvestigateRemoves the SIEM query language expertise barrier by enabling fast, intuitive analysis across the environment. It uses a BI-like interface and natural language search to explore unified data and pivot across events, identities, devices, and cloud resources without SQL, helping analysts uncover root cause and evidence quickly.
• Exabot RespondAutomates complex, stateful response workflows to deliver fast, reliable action against active threats. It executes tasks like user verification, device containment, and access revocation with built-in error handling and retries, compressing manual coordination into consistent, accurate responses.
• Exaforce Multi-Model AIThe core engine combining data semantics, behavioral baselining, machine learning, and large language models to deliver fast, precise, and trustworthy security decisions. It provides deterministic intelligence and trusted outcomes by avoiding hallucination risks of standalone LLMs.
• Exaforce Data PlatformIngests and unifies high-volume cloud and SaaS telemetry into a single, reliable view to power detection, triage, investigation, and response at scale. It features a high-fidelity pipeline for data transformation and correlation, and cost-efficient retention with intelligent storage tiering.

Key capabilities

• Multi-model AI engine (Semantic, Behavior, and Knowledge Models)
• AI agents ("Exabots") for detection, triage, investigation, and response
• Unified data layer and real-time knowledge graph
• Real-time insights
• Proactive detection and response
• In-depth investigations
• Automated workflows
• Machine-speed triage with human-grade precision
• Accessible investigation with BI-like interface and natural language search
• Automated response with dynamic workflows
• Deterministic and governable outcomes
• High-fidelity data pipeline
• Cost-efficient data retention
• Semantic correlation beyond log indexing
• Investigation-ready data with zero engineering
• 24/7 SOC team availability (platform or MDR service)
• Expanded coverage for IaaS and SaaS environments
• Reduction in false positives
• Accelerated Mean Time To Investigate (MTTI) and Mean Time To Respond (MTTR)
• Integration with 100+ security and IT tools

Use cases

• Detecting and responding to AI-era threats
• Triage and investigate alerts from SIEM, EDR, and phishing tools
• Threat hunting
• Automating security operations workflows
• Strengthening identity defense against misuse and takeover attempts
• Scaling IaaS protection across cloud workloads
• Securing SaaS attack surfaces (collaboration, version control, cloud apps)
• Improving endpoint investigations and response
• Strengthening phishing defenses and incident investigation
• Safeguarding against insider attacks (malicious or inadvertent)
• Consolidating SOC operations
• Reducing alert fatigue and analyst burnout
• Replacing or augmenting traditional SIEMs
• Compliance logging requirements
• Monitoring Claude compliance activities for responsible AI deployment and security
• Detecting privileged access abuse, credential misuse, and lateral movement
• Monitoring unified SASE events for cloud network and security visibility
• Identifying attacker infrastructure and validating external IPs
• Triage and investigate bot events and API-layer threats
• Investigating data exfiltration and policy violation events
• Monitoring administrative actions, enrollment changes, and software installation events
• Triage and investigate firewall alerts
• Monitoring crypto events for detections and investigations
• Proactive hunting for patterns, anomalies, and indicators of compromise

AI approach

Exaforce uses a multi-model AI engine combining data semantics, behavioral baselining, machine learning, and large language models (LLMs) to power its Agentic SOC Platform. This platform utilizes AI agents ("Exabots") for detection, triage, investigation, and response in security operations. The AI aims to provide deterministic, precise, and trustworthy security decisions, avoiding hallucination risks of standalone LLMs. It continuously monitors critical environments, correlates behavioral baselines and contextual intelligence, and automates complex response workflows.

Tech named: multi-model AI engine, AI agents, Exabots, data semantics, behavioral baselining, machine learning, large language models, LLMs, real-time knowledge graph, Semantic Model, Behavioral Model, Knowledge Model

Industries served

• Computer and Network Security
• Healthcare
• Cancer Diagnostics
• AI Infrastructure
• Photonic Interconnects
• Enterprise Software
• Cybersecurity
• AI Services
• Enterprise Tech
• Networking
• Cloud Infrastructure
• Fintech
• Crypto Infrastructure
• SaaS
• Creative Tools

What it says sets it apart

• Agentic AI-driven platform with Exabots for autonomous security operations
• Multi-model AI engine (Semantic, Behavioral, Knowledge) for deterministic and explainable outcomes, avoiding LLM hallucinations
• Unified data layer and real-time knowledge graph for comprehensive context and correlation
• Ability to operate the platform in-house or as a fully managed MDR service
• Significant reduction in MTTI and MTTR (e.g., 94% reduction in MTTI from 3 hours to 10 minutes)
• High reduction in false positives (e.g., 90-95% reduction)
• Cost savings compared to traditional SOC stacks and headcount
• Designed for modern cloud-scale security, integrating natively with cloud platforms like GCP
• Eliminates SIEM query language barriers with natural language search and BI-like interface
• Consolidates detection, triage, investigation, response, and behavioral analytics into a single platform, reducing tool sprawl
• Provides 24/7 coverage without requiring a large in-house SOC team
• Rapid onboarding and immediate insights (e.g., <30 days to first response)
• Security-driven data optimization with intelligent deduplication and filtering
• Dual architecture for query speed and storage economics

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.