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Breakthrough AI for security operations

Autonomous intelligence that turns hours of triage, hunting, and response into minutes while slashing false positives and analyst toil.

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Exabot Search comparing admin privilege grants across Entra ID, Okta, Google Workspace and Microsoft 365, with a notable observation drawn out underneath and related identities listed beside it.

Challenges for SOC teams

  1. Unsustainable cost

    Building a SOC today requires substantial upfront investment. Sustaining one means keeping up with a growing alert volume faster than budgets grow.

  2. Growing blindspots

    Critical threats hide in alert backlogs and unmonitored data sources. While these coverage gaps grow, teams lack resources to address them.

  3. Siloed visibility

    Relying only on logs provides partial context, making security teams pivot across multiple systems to gather sufficient context to make a decision.

  4. Slow response

    Manual workflows and unclear escalation paths slow incident response by hours. Each delay widens the damage, yet cross-team coordination remains slow and error-prone.

Exaforce reimagines the SOC experience with agentic AI

Sustainable security operations at scale

Exabots deliver 24/7 tier-1 to tier-3 analyst coverage without extra headcount, delivering enterprise-grade security in hours at lower TCO and scaling seamlessly with alert volume.

Comprehensive threat detection coverage

Exabots expand detection coverage and review 100% of alerts in real time, surfacing hidden threats and freeing teams to focus on what matters.

Security data unlike any SIEM

Unlike SIEMs that just store logs, our platform unifies cloud, identity, endpoint, and network telemetry, letting Exabots auto-correlate enriched data and deliver complete investigation insights without manual pivots.

Accelerated incident response

Exabots execute response workflows automating user verification, containment, and access revocation, turning hours of manual coordination into rapid responses that outpace attackers.

Latio

Teams today are struggling to optimize their use of AI for SOC efficiency without creating data problems along the way. To solve this, a solution needs to be able to standardize and gather both posture and runtime data to enable full AI optimization. Exaforce is tackling this issue head-on. This solution is taking an “AI Native” approach to security operations by building the first end-to-end SOC platform for agentic AI.

James Berthoty

Founder and Industry Analyst at Latio

Frequently asked questions

Can I use Exaforce if I already have a SOC team and existing security tools?
Yes. Exaforce can either be your primary SOC tech stack or augment your 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, freeing human analysts to focus on complex tier-3 work and strategic initiatives. Exaforce ingests alerts from your existing tools, enriches them with unified context, and delivers investigated findings with clear recommendations. Your team gains 24/7 AI coverage that scales with alert volume while preserving their existing workflows and tool investments, effectively expanding SOC capacity without additional headcount.
How does Exaforce maintain comprehensive coverage without creating more alert noise?
Exabots review 100% of incoming alerts but use multi-model AI to drastically reduce what reaches human analysts. The Semantic Model resolves entities and relationships across disparate tools to eliminate duplicate alerts. The Behavioral Model identifies genuinely anomalous activity versus expected behavior patterns. The Knowledge Model synthesizes this context with your business rules to automatically mark true false positives with supporting evidence, group related findings into unified attack chains, and surface only high-fidelity threats requiring human judgment. This approach expands detection coverage across more sources while reducing analyst workload by 60-80%.
How does unified telemetry improve threat detection compared to log-only approaches?
SIEMs process only logs, which provide a record of what happened but lack the context of why it matters. Exaforce unifies logs with cloud configuration, identity relationships, endpoint telemetry, and network data into a single correlated view. This enables Exabots to automatically answer questions like "does this service account normally access this S3 bucket?" or "is this user authenticated from their typical device and location?" without manual pivoting across tools. The unified foundation eliminates investigative blind spots, surfaces threats hiding in unmonitored data sources, and delivers complete investigation insights that log-only systems fundamentally cannot provide.
How is Exaforce's Agentic AI SOC different from traditional SOC approaches?
Traditional SOCs rely on tiered human analysts to triage, investigate, and respond to threats, which creates operational bottlenecks and scaling challenges. Exaforce deploys Exabots that autonomously perform tier-1 through tier-3 analyst functions 24/7 without added headcount. These AI agents review 100% of alerts in real time, correlate enriched data across all telemetry sources, and execute response workflows, turning multi-hour manual processes into automated analysis that scales with alert volume while maintaining enterprise-grade accuracy. The result is sustainable security operations at a fraction of traditional SOC costs.
What makes this approach more sustainable than traditional SOC operations?
Traditional SOCs face unsustainable economics where alert volume grows faster than security budgets and hiring. Each new data source, cloud service, or compliance requirement adds alerts that require more analysts to handle. Exaforce breaks this cycle by delivering AI-powered coverage that scales automatically with alert volume at fixed infrastructure costs. Exabots handle the repetitive tier-1 and tier-2 work that causes analyst burnout while human experts focus on strategic security initiatives, threat hunting, and complex investigations. This delivers enterprise-grade security capabilities at dramatically lower total cost of ownership while eliminating the hiring, training, and retention challenges that make traditional SOC models unsustainable.

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