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Ent

Intent-aware workspace security platform

Senior Endpoint Engineer - EDR, macOS

Full-Time
No salary listed
Expert
Remote in USA
RemoteRemote within the United States; the employer also hires remotely across North America.
Software EngineeringSystems Software Engineering

About the job

Requirements
  • 10+ years designing, building, and delivering production native systems software using Swift, C, C++, or Objective-C, including substantial experience in endpoint security, operating-system internals, or comparable performance-critical code, with strong current Swift and modern concurrency using actors, Sendable, and structured concurrency.
  • Deep working knowledge of macOS internals, including process and thread lifecycle, memory management, file systems, code signing and entitlements, launchd, interprocess communication through XPC and Mach primitives, and the TCC permission model.
  • Hands-on production experience with the Endpoint Security framework and/or Network Extensions, and understanding of the system extension lifecycle that replaced kernel extensions.
  • Demonstrated experience building or operating an EDR, EPP, XDR, DLP, or insider-risk product, or equivalent detection-and-response engineering.
  • Practical fluency in attacker tactics, techniques, and procedures, with the ability to reason about attacks from raw telemetry.
  • Strong low-level debugging skills using lldb, crash-dump and hang analysis, and performance tracing with Instruments or equivalent tools.
  • Experience with multithreaded and concurrent programming under load, including synchronization, lock contention, race conditions, actor isolation, and object lifetime management.
  • Experience deploying code across large fleets without degrading end-user experience, including understanding of stability, performance, enterprise deployment, MDM profiles, notarization, staged rollout, and auto-update.
  • Scripting fluency for tooling and test automation using Python, shell, or equivalent.
  • Clear written and verbal communication with distributed teams and customers during escalations.
Responsibilities
  • Design, build, and ship the privileged daemon, per-user agents, and system extensions that make up the macOS agent, observing process, file, network, device, and user-interaction activity and turning it into intent signals.
  • Own EDR-class detection and prevention end to end, including sensor instrumentation, event enrichment, on-box correlation and rule evaluation, and interception logic using Endpoint Security authorization decisions and network-flow filtering.
  • Instrument telemetry at the operating-system boundary using the Endpoint Security framework, Network Extensions including NEFilterDataProvider, FSEvents, IOKit, and event taps to capture data-movement signals.
  • Design and maintain the multiprocess architecture using launchd-managed daemons and agents, XPC protocols, code-signing-based peer authentication, and safe handling of untrusted input inside a privileged process.
  • Harden the agent against tampering, bypass, and evasion through self-protection, integrity validation, and update-chain security.
  • Keep sensor CPU, memory, and input/output usage within strict budgets while processing thousands of events per second under hard real-time constraints such as Endpoint Security authorization deadlines, profile hot paths, and regression prevention.
  • Build test harnesses and automated regression coverage, including virtual-machine-based end-to-end testing of real operating-system mechanisms.
  • Drive high-severity customer escalations to root cause, including crashes, hangs, performance regressions, missed detections, permission failures, and deployment failures at the code and operating-system-internals level, and convert escalation patterns into permanent fixes.
  • Partner with security research, artificial intelligence, platform, and product teams to feed sensor signals into on-device machine-learning classification, intent-aware policy enforcement, just-in-time interventions, and investigation timelines.
  • Review code, mentor engineers, document design decisions, and share ownership of agent release quality and on-call responsibilities.
Desired Qualifications
  • Background in reverse engineering, malware analysis, or exploit and vulnerability research.
  • Experience shipping on-device machine-learning inference using Core ML, ONNX Runtime, or llama.cpp-class runtimes inside a resource-constrained agent.
  • Experience integrating browser extensions or native messaging for telemetry capture.
  • Cross-platform endpoint-agent experience with Windows or Linux sensors alongside macOS.

About the company

Ent provides an intent-aware workspace security platform that preemptively prevents security incidents by interpreting the intent behind user and AI agent actions in real time. A lightweight endpoint agent and a browser extension monitor activity and compare it to corporate policies, triggering automated interventions before risky actions complete. It is hosted in the customer’s cloud and extends existing security stacks like EDR, SIEM, SOAR, and IAM rather than replacing them. Its goal is to help enterprises manage insider risk, govern AI usage, and prevent data loss for both humans and AI agents in modern work environments.

Company Size

51-200

Company Stage

Seed

Total Funding

$100M

Headquarters

San Francisco, California

Founded

2025

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Simplify's Take

What believers are saying

  • Ent raised $100 million on June 16, 2026, funding rapid product expansion.
  • Ent reported Global 2000 deployments in hospitality, financial services, and defense.
  • IQT backing and July 30 enhancements strengthen federal and enterprise credibility.

What critics are saying

  • CrowdStrike shipped browser, endpoint, and Copilot-agent controls on March 23, 2026.
  • Microsoft bundled Security Copilot agents into E5 and E7, commoditizing adjacent workflows.
  • Ent named no customers publicly; category risk kills sales if pilots stall by 2027.

What makes Ent unique

  • Ent runs AI reasoning on-device, judging intent before risky actions finish.
  • Ent hosts in customer clouds, preserving data sovereignty for regulated buyers.
  • Founders Elias Manousos and Brandon Dixon previously built RiskIQ and Security Copilot.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Unlimited Paid Time Off
  • Parental Leave
  • Company Equity
  • Wellness Program
  • Remote Work Options
  • Home Office Stipend

Growth & Insights and Company News

Headcount

6 month growth

-15%

1 year growth

-15%

2 year growth

-15%
Tech Funding News
Jun 16th, 2026
Ex-Microsoft duo behind Security Copilot raises $100M seed to catch AI threats before they strike — TFN

Ent, the endpoint security startup founded by ex-Microsoft leaders behind RiskIQ and Security Copilot, has raised $100M in seed funding to stop AI-era threats before they strike.

VMblog
Jun 16th, 2026
Ent emerges from stealth to bring prevention back to cybersecurity.

Ent emerges from stealth to bring prevention back to cybersecurity. Ent emerged from stealth with $100 million in seed financing. The company is pioneering a new approach to cybersecurity built around the simple belief that AI compresses the time between compromise and impact; prevention must once again become the primary objective of security. Ent's platform helps organizations understand and intervene in risky actions by humans and AI agents before they become incidents. Ent is already deployed with Global 2000 customers across hospitality, financial services, and defense. Customers use Ent to detect insider risk, govern AI usage, prevent data loss, stop last-mile threats, and investigate incidents with the full behavioral context of what happened, why it happened, and what should happen next. "Security has been stuck in a reactive loop for over a decade, but AI-powered attacks require new thinking," said Elias Manousos, CEO and co-founder of Ent. "AI is changing both how people work and how quickly attackers can act. What once took days now happens in seconds. By the time traditional security systems detect a problem, it is too late. We believe the future of security lies in understanding intent in real time across people and AI agents and stopping risk before it becomes an incident." Prevention requires a new layer at the workspace where work happens, across the browser, apps, AI workflows, and agents. Existing tools are blind because they collect at the wrong layer, tied to process and file events, and respond too late. As enterprises consolidate the platforms that protect endpoints, identities, applications, and data, the layer that reads intent across humans and AI agents in real time becomes the critical one. Ent operates at that layer. Hosted in the customer's cloud with complete data sovereignty, Ent runs as a lightweight agent that brings AI reasoning to endpoints. The platform observes behavior across applications, browsers, workflows, data movement, and local runtimes; evaluates human and AI agent intent at the moment of use, applies customer-defined policy, and acts through configurable, just-in-time interventions before incidents occur. The funding is led by Decibel, with participation from Sequoia, Crosspoint Capital Partners, Craft Ventures, Shield Capital, Felicis, and In-Q-Tel (IQT). "AI has been a killer app for hackers and offensive researchers, but the industry is waiting for a novel defensive solution that can keep up with the modern era of LLMs," said Jon Sakoda, Founding Partner at Decibel. "Ent has reimagined what is possible to protect the endpoint by using specialized AI models and adaptive policy enforcement to detect and prevent malicious activity in real time. It's a game changer for cybersecurity teams who need a paradigm shift to defend their workforce against LLM-based attacks." "For a decade, endpoint security has relied on signals that arrive after the user's action is complete," said Konstantin Buhler, Partner at Sequoia. "By running AI reasoning directly on the device, Ent moves from detection to prevention at the moment of decision. That shift is where the next era of endpoint defense gets built." "We have entered a new era defined by AI-powered attacks, one that demands a return to prevention and resilience," said Greg Clark, Co-Founder and Managing Partner, Crosspoint Capital Partners. "The level of inference required to stop threats before they materialize must now live directly on the endpoint. Ent is leading this fundamental shift in endpoint protection." "We are working with agencies where AI adoption is outpacing the ability of most enterprises to govern it, and where forensic clarity matters as much as prevention. Ent gives them both," said Steve Bowsher, CEO at IQT. "They can see what people are doing with AI in the moment, and they have a comprehensive record of what happened on every device." Ent's team brings together engineers and security operators with deep enterprise experience. The company's advisors include former CISOs of Google, Aetna, and MassMutual, the former Director of the NSA, and the former CVP of Microsoft Azure Cloud Security. The new funding will support continued hiring across engineering and go-to-market, while accelerating Ent's roadmap across AI governance, threat prevention, security integrations, and multimodal endpoint intelligence. Ent is generally available today for Windows, macOS, Linux, and browser-extension deployments. David Marshall has been involved in the technology industry for over 30 years, and he's been working with virtualization software since 1999. He became a pioneer in the virtualization and cloud computing field - one of the few people in the industry allowed to work with Alpha stage server virtualization software from industry leaders: VMware (ESX Server), Connectix and Microsoft (Virtual Server).Through the years, he has invented, marketed and helped launch a number of successful software companies and products. David holds a BS degree in Finance, an Information Technology Certification, and a number of vendor certifications. He's also co-authored two published books: "VMware ESX Essentials in the Virtual Data Center" and "Advanced Server Virtualization: VMware and Microsoft Platforms in the Virtual Data Center" and was the technical editor for two popular Virtualization "For Dummies" books. With his remaining spare time, David founded and operates one of the oldest independent modern data center publications, VMblog.com. And co-founded CloudCow.com, a publication dedicated to Cloud Computing. Since 2009, and each year thereafter, David has been honored with the vExpert distinction by VMware by Broadcom for his evangelism.Connect on LinkedIn: https://www.linkedin.com/in/davidmarshall/