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Exabeam provides a cloud-based security operations platform that helps businesses detect, investigate, and respond to cybersecurity threats. Its core offerings include a SIEM that analyzes real-time alerts from apps and devices, AI/ML-powered threat detection, and behavioral analytics to spot unusual user or system activity. The platform automates the threat detection and incident response process, making it easier and faster for security teams to handle large amounts of data. Unlike traditional on-premises SIEMs, Exabeam is designed as a cloud service with subscriptions tailored to a organization’s size and data needs, allowing easier deployment and scalability. The company’s goal is to help organizations protect their data by reducing detection and response times and lowering the manual workload on security operations teams.
Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
501-1,000
Company Stage
Series F
Total Funding
$390M
Headquarters
Foster City, California
Founded
2013
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Total Funding
$390M
Above
Industry Average
Funded Over
6 Rounds
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Exabeam vs. Splunk: which approach improves security operations outcomes? * Jul 23, 2026 * Heidi Willbanks * 3 minutes to read Table of Contents Not every SIEM solution is built for modern security operations. While Splunk is widely used for log management, many teams face unpredictable pricing, complex tuning, and slow investigations as environments scale. New-Scale Fusion takes a different approach, It combines behavioral analytics, dynamic risk scoring, and coordinated AI agents to help teams detect risk earlier and move investigations forward faster. Here are six ways Exabeam improves outcomes compared to Splunk. 1. Predictable costs and clear value. Splunk cloud workload pricing model is complex and often unpredictable. Costs scale based on ingestion, storage, compute, and add-ons, which can lead to overages and rising spend as environments grow. Exabeam includes analytics, automation, and threat intelligence within New-Scale Fusion. As data volume increases, you gain more detection coverage and automation without layering on additional modules. Outcome: More predictable cost structure with increasing value over time. 2. Less tuning and operational overhead. Splunk requires continuous tuning. Analysts must maintain Splunk Search Processing Language (SPL) queries, build correlations, and reduce false positives through manual adjustments. Behavioral analytics capabilities are bundled into higher-tier offerings, increasing cost and complexity. Migration paths between legacy and newer capabilities can introduce additional operational risk. Exabeam reduces this overhead with: * Prebuilt detection coverage * Behavioral analytics for users, entities, and agents * Contextual correlation and automated workflows Analysts move from detection to investigation in a single interface without custom scripting. Outcome: Faster time to value and less reliance on engineering resources. 3. Strong behavioral visibility across humans, devices, and agents. Most modern attacks involve credential misuse or lateral movement. Rules alone are not enough to detect these patterns. Splunk provides behavior-based detection, but it often requires extensive tuning and operates outside a unified investigation workflow. Exabeam applies: ABA extends behavioral analytics to AI agents and non-human identities. It correlates activity across users, devices, and agents into a single investigation flow so analysts can understand how behaviors interact within an attack sequence. While Splunk can monitor agent activity and assign risk scores, it approaches this from an observability perspective. Exabeam integrates agent behavior directly into the investigation workflow, so all related activity is analyzed together. Outcome: Faster identification of high-risk behavior with unified investigation context. 4. Cloud-Native architecture built for scale. Splunk Cloud is a managed version of an architecture originally designed for on-premises deployments. Scaling often requires planning for storage, compute, and performance constraints. New-Scale Fusion is cloud native. It: * Processes high event volumes at scale * Unifies ingestion, parsing, analytics, and detection * Provides real-time visibility into service health and consumption OpenAPI Standard (OAS) support enables integration with broader security and IT ecosystems. Outcome: Consistent performance and visibility as data and complexity grow. 5. AI agents that drive investigation and detection outcomes. Splunk AI Assistant focuses on generating SPL queries and summaries. Its use is limited and often dependent on specific configurations. Exabeam Nova is a coordinated system of seven AI agents embedded into the detection, investigation, and response workflow: * Advisor Agent: Provides posture insights, MITRE ATT&CK(R) alignment, and prioritized recommendations through Outcomes Navigator * Search Agent: Converts natural language into Exabeam Query Language (EQL) aligned to the Common Information Model (CIM) * Visualization Agent: Build dashboards and charts from search results * Threat Scoring Agent: Applies adaptive learning to prioritize activity with dynamic risk scores * Investigation Agent: Generates summaries and recommends next steps * Analyst Assistant Agent: Surfaces evidence and guides investigators in real time * Rule Creator Agent: Translates natural language and observed attack patterns into correlation rules aligned to CIM and ATT&CK to accelerate detection coverage These agents work together within a unified workflow, reducing manual effort and improving investigation consistency. Outcome: Faster investigations, improved prioritization, and reduced analyst workload. 6. Measurable detection coverage with Outcomes Navigator. Security teams often lack visibility into whether their SIEM is detecting meaningful threats and how gaps translate to business risk. Splunk Security Essentials (SSE) is a content library that helps teams implement security use cases and map detections to frameworks like ATT&CK. While it highlights detection gaps, it provides limited visibility into exposure and only indirect insight into business risk. Outcomes Navigator delivers: * Detection coverage mapped to ATT&CK * Visibility into gaps and exposure * Prioritized recommendations aligned to business outcomes It continuously tracks detection performance and program maturity without requiring custom dashboards. Outcome: Clear visibility into detection coverage and next steps to reduce risk. Conclusion. Log search alone can't meet the demands of modern security operations. Exabeam combines behavioral analytics, dynamic risk scoring, automated timelines, and AI agents to detect hidden risk in human, device, and agent activity. You gain a unified investigation workflow, faster response times, and measurable improvements in your security program without needing to rebuild your entire stack. Download the full comparison guide to see how to reduce cost, improve detection coverage, and accelerate investigations. Heidi Willbanks. Heidi Willbanks | Senior Product Marketing Manager, Content | Exabeam | Heidi Willbanks leads content strategy and go-to-market execution at Exabeam, focusing on product launches, cybersecurity solutions marketing, and technical alliances. She has 20+ years of marketing experience, including over a decade in information security and data privacy, and holds a Level IV certification from Pragmatic Institute. Heidi specializes in creating clear, technically accurate content for security practitioners and decision-makers. Learn about the Exabeam platform and expand your knowledge of information security with its collection of white papers, podcasts, webinars, and more.
AI is helping security teams, but agents are emerging as a top cybersecurity concern, Exabeam survey finds. * Jul 08, 2026 * 2 minutes to read Survey of cybersecurity professionals attending Infosecurity Europe finds AI is improving security team productivity while changing the insider threat landscape. MAIDENHEAD, England - July 8, 2026 - Exabeam, the leader in Behavior Intelligence for the agentic enterprise, today shared findings from a survey of cybersecurity professionals attending Infosecurity Europe 2026, offering a snapshot of how practitioners view AI's growing impact on security operations. Among the 134 cybersecurity professionals surveyed when visiting the Exabeam booth, 88% said AI has improved their security team's productivity. At the same time, one in four identified AI agents and autonomous systems as the single greatest cybersecurity threat facing their organisation, reflecting the dual role AI now plays in helping defenders while introducing new insider risks. "As organisations deploy AI across the business, they're introducing a new class of trusted identities," said Findlay Whitelaw, Field CISO at Exabeam. "AI agents can access systems, process sensitive information and make decisions autonomously using legitimate credentials. Security teams aren't just protecting people anymore. They're securing trusted identities, whether they're human or AI." While external threat actors were the most frequently cited cybersecurity threat (40%), AI agents and autonomous systems ranked similarly to compromised insiders, ahead of malicious insiders (9%). Unlike traditional attackers, AI agents increasingly operate with authorised access and trusted workflows, making risky behaviour more difficult to distinguish from normal business activity. The survey also found that insider threats remain a persistent concern. Nearly half (46%) of respondents said insider threats have increased over the past 12 months, while 43% said they have remained the same. Only 4% believe insider threats have decreased. At the same time, nearly three-quarters (72%) believe executive leadership underestimates insider threat risk, suggesting many organisations have yet to fully appreciate how insider risk is evolving as AI becomes part of the workforce. "Insider risk hasn't disappeared, it has evolved," Whitelaw said. "The challenge is no longer limited to monitoring employees or compromised accounts. Organisations also need to understand how AI agents behave, and identify abnormalities before they become business risk. Understanding behaviour across both human and AI identities is essential to protecting the modern enterprise." Survey methodology. Exabeam surveyed 134 cybersecurity professionals attending the Exabeam Booth at Infosecurity Europe in London during the event in June 2026. Approximately 78% of respondents were based in the UK and Ireland. The findings represent a snapshot of the views of cyber security professionals who engaged with Exabeam at Infosecurity Europe 2026, and are intended to reflect participant sentiment. About Exabeam Exabeam is the leader in Behavior Intelligence for the agentic enterprise. As organizations deploy digital workers and confront machine-speed adversaries, Exabeam applies agent-powered analytics to understand and govern the behavior of both human and non-human insiders. With integrated Exabeam Nova cybersecurity agents, Exabeam delivers flexible, industry-proven solutions for insider threat coverage of humans and agents and faster, more accurate threat detection, investigation, and response (TDIR). As the pioneer of user and entity behavior analytics (UEBA) and the innovator behind Agent Behavior Analytics (ABA), Exabeam is trusted by more than 3,000 enterprises worldwide to reduce risk, secure the digital workforce, and accelerate security operations. Learn more at www.exabeam.com. Exabeam: Stop Insider Threats. Human or AI. Recent press releases. Learn about the Exabeam platform and expand your knowledge of information security with its collection of white papers, podcasts, webinars, and more. * Blog Why Rules Can't Detect Insider Threat Sequences Read Now * White Paper Agent Behavior Analytics: Securing the Autonomous Enterprise Read Now * Data Sheet Exabeam Academy Course Catalog 2026 Read Now * Guide Exabeam vs. CrowdStrike: Five Ways to Compare and Evaluate Read Now * Show More
Exabeam has launched Praxen, an open source tool for Agent Behavior Verification, a new security discipline that evaluates whether AI agents are properly configured and authorised before deployment. The company announced the release as organisations increasingly deploy AI agents as operational actors within enterprise environments. Praxen uses policy contracts called ABV remits to verify whether an agent's implementation, tools and configurations align with its specified role. The tool provides actionable recommendations and maturity scores for agents' security posture, addressing gaps between intended and implemented behaviour. Released under the Apache 2.0 licence, Praxen is designed as an agentic coding agent skill. Exabeam is making it open source to establish Agent Behavior Verification as an industry best practice, complementing its broader agent security strategy.
Exabeam launches open source Praxen to bring Agent Behavior Verification to AI agents and digital workers. * Jun 23, 2026 * 3 minutes to read Open source tool helps organizations understand an AI agent's intended job, verify its authorized actions, and identify behavioral gaps before deployment. BROOMFIELD, Colo. - June 23, 2026 - Exabeam, the leader in Behavior Intelligence for the agentic enterprise, today announced Agent Behavior Verification (ABV), a new security discipline that helps organizations determine whether AI agents are configured, authorized, and governed in ways that align with their intended responsibilities before deployment. As AI agents move from assistants to operational actors inside enterprise environments, organizations face a new security challenge. Agents access systems, invoke tools, execute workflows, and make decisions with increasing autonomy. While existing approaches such as vulnerability scanning and red teaming help govern, monitor, and test agent activity during runtime, organizations lack a practical way to determine whether an agent is prepared to operate safely before it enters production. Agent Behavior Verification addresses that gap. Rather than focusing solely on known vulnerabilities or individual code artifacts, ABV evaluates agents as complete systems, providing a framework for defining an agent's authorized role and evaluating whether its implementation, permissions, and controls align with its purpose. To help organizations operationalize the discipline, Exabeam is releasing Praxen, an open source reference implementation of ABV. "Organizations are rapidly moving from AI experimentation to operational deployment," said Steve Wilson, Chief AI Officer at Exabeam and Founder and Co-Chair of the OWASP Gen AI Security Project. "As agents become digital workers, security teams need more than runtime visibility. They need confidence that agents have the right permissions, the right controls, and the right boundaries before they enter production. Agent Behavior Verification helps answer a fundamental question: will this agent do its job, and only its job?" Praxen operationalizes Agent Behavior Verification. Praxen uses the ABV remit - a policy contract that defines what an agent is authorized to do, what resources it may access, and what boundaries it must operate within - to help developers and operators verify whether the agent's implementation, tools, configurations, memory, integrations, and operating environment align with its specified role. By identifying and reporting on gaps between intended and implemented behavior, Praxen provides actionable recommendations and highlights behavioral risk for developers ahead of deployment. Reports include specific findings, recommendations for improvement, and an overall maturity score for the agent's security posture. "Traditional security tools help identify vulnerabilities in software," continued Wilson. "Praxen evaluates something different: whether an agent's capabilities, permissions, tools, and controls align with the role it was authorized to perform. This addresses one of the most critical risks introduced by highly autonomous agents and establishes a stronger foundation for ongoing governance throughout the agent lifecycle." Agent Behavior Verification represents the pre-deployment foundation of Exabeam's broader agent security strategy, complementing ABA, which helps organizations identify anomalous or risky agent behavior in production environments. Built as an agentic coding agent skill and released under the Apache 2.0 license, Praxen is designed to be transparent, extensible, and accessible to developers, researchers, and security practitioners. "Most security tools tell you what's vulnerable. Praxen asked a different question entirely: Does this agent's actual behavior match the governance or work remit it was built to enforce?" said Sherri Douville, CEO of Medigram. "The code-level remediation path it produced didn't give us a risk report to file away. It gave us a precise engineering roadmap we could act on immediately. In enterprise AI deployment, the gap between what an agent is authorized to do and what it is actually capable of doing is where operational risk lives." Driving transparency and trust in autonomous AI systems. Exabeam is releasing Praxen as an open source project to help foster and enable ABV as an open best practice. The industry is still defining how AI agents should be governed, monitored, and verified. Open sourcing Praxen allows developers, researchers, and security practitioners to examine the framework, contribute enhancements, and apply ABV principles within their own environments. Praxen is available now under the Apache 2.0 license here: https://open-agent-ai-security.github.io/praxen/ About Exabeam Exabeam is the leader in Behavior Intelligence for the agentic enterprise. As organizations deploy digital workers and confront machine-speed adversaries, Exabeam applies agent-powered analytics to understand and govern the behavior of both human and non-human insiders. With integrated Exabeam Nova cybersecurity agents, Exabeam delivers flexible, industry-proven solutions for insider threat coverage of humans and agents and faster, more accurate threat detection, investigation, and response (TDIR). As the pioneer of user and entity behavior analytics (UEBA) and the innovator behind Agent Behavior Analytics (ABA), Exabeam is trusted by more than 3,000 enterprises worldwide to reduce risk, secure the digital workforce, and accelerate security operations. Learn more at www.exabeam.com. Exabeam: Stop Insider Threats. Human or AI. Recent press releases. Learn about the Exabeam platform and expand your knowledge of information security with its collection of white papers, podcasts, webinars, and more. * Blog Why Insider Threats Don't Trigger Alerts Read Now * Data Sheet Behavior Intelligence for the Agentic Enterprise Read Now * Blog Beyond the Budget: What CISOs Need to Understand About Their CFO Relationship Read Now * Guide Six Shifts in Insider Risk for the Agentic Enterprise Read Now * Show More
NEC Australia and Exabeam strengthen strategic partnership to secure the Agentic Enterprise. * Jun 18, 2026 * 2 minutes to read Broomfield, Colorado, and Melbourne, Australia, June 16, 2026 - NEC Australia and Exabeam today announced the expansion of their strategic partnership to help organisations across Australia strengthen security operations and reduce insider risk in increasingly automated environments. Through this partnership, NEC Australia will work with Exabeam to deliver behaviour-based security analytics that help organisations detect threats faster, reduce investigation effort, and improve visibility across complex hybrid and cloud-native environments. "Australian organisations are embracing AI, automation and increasingly complex digital operating environments, creating new opportunities but also new security challenges," said Hanré van Rensburg, Head of Service Strategy, NEC Australia. "As organisations move towards the agentic enterprise, security teams require greater visibility into both human and non-human activity across their environments. Its strengthened partnership with Exabeam enhances NEC Australia's managed security services capability, enabling Exabeam to help customers detect threats earlier, reduce investigation effort and improve security outcomes through advanced behavioural analytics and AI-assisted security operations." NEC Australia utilises Exabeam technology within its own security operations environment and brings deep expertise supporting large, distributed organisations across Australia. As organisations expand the use of AI-driven workflows, service accounts and autonomous systems, NEC Australia is strengthening its security services to address the challenges of the Agentic Enterprise - where human users and non-human actors operate at machine speed. By deepening its engagement with Exabeam, NEC Australia can help customers establish behavioural baselines, identify anomalous activity and reduce risk across users, entities and agents. "NEC Australia has a strong track record of delivering trusted technology and security services across some of the most complex environments in the region," said Sean Abbott, Director of Channel and Alliances - APJ at Exabeam. "This partnership brings Behavior Intelligence to the centre of security operations. By applying User and Entity Behavior Analytics (UEBA) and Agent Behavior Analytics (ABA), NEC Australia can help customers surface high-risk activity earlier, cut through alert noise, and focus security teams on the threats that matter." Exabeam's Behavior Intelligence detects insider threats, compromised credentials and advanced attacks that traditional rule-based approaches often miss. With UEBA and ABA, Exabeam establishes behavioural context across human users and the digital workforce, helping organisations identify and respond to threats with speed, clarity and confidence. Integrated AI-powered security agents also automate critical parts of the threat detection, investigation and response (TDIR) workflow, enriching data, correlating activity across environments and automatically assembling evidence-backed timelines that dramatically reduce investigation time. Through its partnership with Exabeam, NEC Australia helps organisations modernise security operations and strengthen their ability to defend against threats that move at machine speed. About Exabeam Exabeam is the leader in Behavior Intelligence for the agentic enterprise. As organizations deploy digital workers and confront machine-speed adversaries, Exabeam applies agent-powered analytics to understand and govern the behavior of both human and non-human insiders. With integrated Exabeam Nova cybersecurity agents, Exabeam delivers flexible, industry-proven solutions for insider threat coverage of humans and agents and faster, more accurate threat detection, investigation, and response (TDIR). As the pioneer of user and entity behavior analytics (UEBA) and the innovator behind Agent Behavior Analytics (ABA), Exabeam is trusted by more than 3,000 enterprises worldwide to reduce risk, secure the digital workforce, and accelerate security operations. Learn more at www.exabeam.com. Exabeam: Stop Insider Threats. Human or AI. Recent press releases. Learn about the Exabeam platform and expand your knowledge of information security with its collection of white papers, podcasts, webinars, and more. * Blog Why Insider Threats Don't Trigger Alerts Read Now * Data Sheet Behavior Intelligence for the Agentic Enterprise Read Now * Blog Beyond the Budget: What CISOs Need to Understand About Their CFO Relationship Read Now * Guide Six Shifts in Insider Risk for the Agentic Enterprise Read Now * Show More
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Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
501-1,000
Company Stage
Series F
Total Funding
$390M
Headquarters
Foster City, California
Founded
2013
Find jobs on Simplify and start your career today