Overview
Exaforce provides comprehensive, real-time security for your entire Amazon Web Services environment. By integrating directly with native AWS telemetry and security services, Exaforce delivers an AI-driven platform for complete visibility, high-fidelity threat detection, automated triaging, expert investigations, and automated response.
Where legacy SIEM platforms struggle with the complexity and cost of ingesting vast AWS telemetry, Exaforce is built for the scale, speed, and semantics of AWS data. It processes and normalizes massive volumes of CloudTrail, Config, and GuardDuty data in real time, without needing a separate data pipeline tool. The result is instant querying, deep historical visibility, and intelligent analytics at a fraction of the speed and cost of traditional SIEMs.
How it works
Exaforce continuously ingests and analyzes a rich stream of data from your AWS Organization. The platform connects to critical AWS data sources, such as CloudTrail logs, resource configurations, and findings from security services like GuardDuty and Config, to form a unified view of all accounts, regions, and services.
By normalizing and correlating this telemetry in real time, Exaforce builds a deep semantic understanding of your AWS environment. Its AI engine maps relationships between users, roles, and resources, creating behavioral baselines that make it possible to instantly spot deviations that signal potential threats.
Seamless AWS onboarding
Exaforce deploys through a single CloudFormation stack, allowing teams to connect their AWS Organization and start monitoring in hours, not weeks. The setup process automatically provisions secure data access, enabling Exaforce to begin analyzing CloudTrail activity, configurations, and GuardDuty findings almost immediately.
There are no agents to install, no complex IAM policies to hand-craft, and no manual tuning required. Within the same day, teams can gain full visibility, detection coverage, and automated triage across their AWS accounts, all while storing and querying historical data natively within Exaforce’s unified analytics layer, not a patchwork of SIEM indexes or external pipelines.
Core capabilities
Detections at cloud scale
Exaforce’s native detection engine continuously identifies critical threats across your AWS environment, without the need for manual rule-writing or constant tuning. The system detects both common and advanced attack vectors, including IAM account compromise, S3 data exfiltration, privilege escalation, and misuse of compute resources such as EC2 and Lambda.
The platform also analyzes signals from native AWS telemetry like CloudTrail and Config, as well as security services such as GuardDuty. By correlating activity across accounts, roles, and resources, Exaforce delivers high-fidelity detections that reveal malicious behavior and reduce noise from benign activity.
Triage and reduce false positives
Exaforce’s agentic AI automatically triages detections and alerts, correlating signals across services and filtering out false positives in real time. This intelligent triage process consolidates related findings into a single investigation thread, adds contextual enrichment from identity, configuration, and behavioral data, and prioritizes the most critical threats.
By eliminating alert fatigue and highlighting what truly matters, Exaforce ensures analysts spend their time on genuine incidents rather than chasing noise.
Deep investigation
When a threat is identified, Exaforce enables rapid, in-depth investigations. Analysts can pivot directly from a detection to explore the underlying data from AWS resources, all without leaving the Exaforce platform.
The platform provides tools to query activity associated with specific data stores, such as RDS, investigate execution history in compute instances like ECS, or analyze the net-effective permission history of an IAM user.
This contextual exploration provides a comprehensive narrative of an attack, enabling analysts to understand the full extent of a compromise.
Threat hunting made effortless
Exaforce’s threat hunting experience is designed for speed, scale, and accessibility. Analysts can search across months of AWS activity using natural language queries or visual pivoting instead of complex syntax, uncovering patterns, anomalies, or indicators of compromise in seconds.
With this AI-driven natural language layer and intuitive BI-like interface, even non-specialists can perform advanced investigations, freeing up senior analysts for higher-level work.
Automated and guided response
Exaforce automates key response actions to contain threats in real time. Users can easily design workflows that trigger based on threat severity or type, for example, automatically locking a compromised IAM user, isolating a malicious EC2 instance by updating its security group, or applying a restrictive policy to an S3 bucket to prevent further data loss. These actions can be configured to run autonomously or require human approval, providing a flexible model that fits any security operations workflow.
Benefits of securing AWS with Exaforce
Operate with deep AWS expertise
Exaforce is architected with a deep understanding of AWS services and telemetry. The platform functions like an expert on your team, interpreting complex event data and resource configurations to make informed decisions. It understands the nuances of AWS services like EKS, ECR, IAM, and Lambda, allowing it to distinguish between benign administrative activity and malicious behavior.
Achieve complete visibility and coverage
Gain a unified view of security across your entire AWS organization. Exaforce eliminates blind spots by monitoring activity across all accounts and services, ensuring that even the most subtle threats are detected.
Reduce alert fatigue and accelerate response
Automated triage and high-fidelity detections mean your team spends less time chasing false positives and more time on high-impact security work. By automating response actions, Exaforce drastically reduces the time from detection to containment, minimizing the potential impact of a breach.
FAQ
Exaforce integrates natively with Amazon Web Services through a single CloudFormation stack. This setup securely connects to your AWS Organization and automatically provisions access to telemetry sources such as CloudTrail, AWS Config, and GuardDuty. Within hours, teams can achieve full visibility across their AWS environment without needing to install agents, manually configure IAM policies, or spend time tuning the system.
Exaforce continuously ingests and analyzes telemetry from AWS-native services, including CloudTrail logs, resource configurations, and GuardDuty findings. By correlating signals from accounts, roles, and resources, Exaforce delivers high-fidelity detections that identify both common and advanced threats such as IAM account compromises, S3 data exfiltration, and misuse of EC2 or Lambda instances.
Organizations utilize Exaforce within AWS to enhance their security operations across various areas. It enables real-time threat detection and triage to identify suspicious behaviors such as privilege escalation or credential misuse. It also automates incident response, allowing compromised EC2 instances or IAM accounts to be contained immediately. Exaforce enhances threat hunting by enabling analysts to investigate activity within AWS services such as RDS, ECS, and IAM using intuitive, data-driven exploration.
Exaforce acts as an intelligent AI-driven analyst that understands AWS telemetry and operational context. It automatically triages alerts, filters out false positives, and correlates related events into a single investigation thread. Automating repetitive security tasks reduces analyst workload and accelerates incident response, enabling teams to focus on resolving genuine, high-impact security threats.
