All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.
Capsule Security sells software that lets enterprise security teams monitor their company’s AI agents and block the agents’ unsafe actions before they run. Capsule documents connectors for many vendors’ agent platforms, such as Microsoft Copilot Studio, Salesforce Agentforce and the Cursor code editor. Founded in 2025, it raised a $7 million seed round led by Lama Partners and Forgepoint Capital International. Capsule says its enterprise customers include financial institutions and technology companies. CrowdStrike named it one of six finalists, from nearly 1,000 applicants, for its startup accelerator. Capsule’s advantages over a new rival are the range of those connectors and the AI models it fine-tuned on records of real agent activity to spot unsafe actions.
| Description | Capsule Security monitors AI agent behavior at runtime and intervenes as soon as it detects anomalous or unsafe activity, across enterprise, coding, and agent-builder platforms. | [f1] |
|---|---|---|
| Founded | 2025 | [f2] |
| HQ | Tel Aviv, Israel | [f2] |
| Funding | $7M total | [f3] |
| Latest funding | Seed, $7M (April 2026) | [f4] |
| Deployment | SaaS | [f5] |
| Product | What it does |
|---|---|
| Capsule Security | Capsule Security: Runtime security layer that discovers enterprise AI agents, observes their behavior, and blocks unsafe or risky actions before execution. |
AI Defense Matrix
| Govern | Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|---|
| AI-Workload Platforms Inference servers, training platforms, vector DB platforms, and the model-loading supply chain. | ||||||
| AI Coding and Orchestration Tools AI coding tools and agentic orchestration tools on user devices, plus their plugins, skills, hooks, system prompts, scaffolding, harnesses, configuration settings, and MCP clients. | ||||||
| AI-Generated Code Code produced by AI tools, AI-assisted reviews, AI-generated infrastructure-as-code and tests, and vibe-coded apps that bypass CI/CD. | ||||||
| AI Traffic Paths to external and self-hosted AI services, MCP tool channels, agent-to-agent calls, model-registry downloads, and egress to unapproved AI services. AI gateways, LLM routers, and MCP gateways steer traffic along those paths. The steering decisions and their inputs belong here too: routing policies, MCP server registries, and agent naming and discovery services. | ||||||
| AI Model Model weights, fine-tuning checkpoints, model cards, registries, an AI bill of materials (AIBOM), and the third-party LLMs your enterprise consumes. | ||||||
| Training Data Datasets used for training, fine-tuning, and continued learning. | ||||||
| Runtime AI Data User prompts, inference inputs, RAG content, vector DB content, persistent agent memory, and interaction history. | ||||||
| AI Agent Identities AI agents as non-human principals, plus credentials, keys, permission scopes, service accounts, and delegation chains across agents and tools. |
Capsule Security is a runtime security layer that discovers enterprise AI agents, observes their behavior, and blocks unsafe or risky actions before execution. It is mapped to the AI Defense Matrix. [f6]
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score | Rationale |
|---|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 4/5 | Capsule Security sells to enterprise security teams, and sources independent of Capsule describe the same problem. NIST’s January 2026 Federal Register request calls AI agents susceptible to hijacking, its May 2026 summary reports commenters calling agent security a barrier to adoption, and a May 2026 survey of 1,600 CISOs records concerns about agent access to sensitive systems. The Copilot Studio flaw Capsule reported is recorded at NVD and in the CVE Program with a 7.5 High score. [s35, s31, s32, s28, s15, s16, s3] |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs and third-party validation. | 4/5 | Capsule documents the platform publicly, from an API-first architecture whose hooks block on each verdict before an agent acts to deployment models, data collection and a 99.99% API uptime commitment. Two points outside its marketing bear on the runtime judging it sells. The ClawGuard enforcer’s source is public on GitHub, where it sends each tool call and its session context to a judge model and blocks high-risk calls, and Capsule reports results for its fine-tuned detectors on StepShield, a public academic benchmark. No third-party evaluation of these detectors appears in the cited sources. [s35, s36, s37, s39, s4, s5, s17, s24] |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 4/5 | The record shows two kinds of buyer-side signal within the last year. One is a regulatory driver, NIST’s January 2026 Federal Register request for information on AI agent security and its May 2026 summary of responses. The other is a buyer-priority survey, Gartner C-level Communities’ May 2026 survey of 1,600 CISOs, published by Evanta, which ranks enabling and protecting AI first. The enabler is agents gaining authority to act on business systems, which the January 2026 request describes. [s31, s32, s28] |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 | CTech reports that CEO Naor Paz came from F5 and Unit 8200 and CTO Lidan Hazout from Securedtouch and Transmit Security, and Capsule’s release adds that Hazout was VP R&D at Securedtouch, which Ping Identity acquired. Capsule researchers have published disclosures, one recorded by Microsoft as CVE-2026-21520. That verifiable experience keeps the score above 2, and the cited record of senior roles and research publications falls short of the plural, independently evidenced track record the next level asks for. [s9, s11, s3, s15, s25, s17] |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 3/5 | Capsule’s September 2026 release carries an endorsement from H&R Block’s global chief security information officer and says its customers include financial institutions and technology companies, a customer description SiliconANGLE relays as Capsule’s own without naming a customer. Capsule’s detector research credits three NVIDIA collaborators, and CTech reports Google’s selection of Capsule for its Gemini Startup Forum cohort, so the record shows a named endorsement and a named collaboration without independent corroboration of scale. [s18, s20, s17, s22, s12] |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 | Lama Partners and Forgepoint Capital International led a $7 million seed announced in April 2026 alongside the platform launch, and since then Capsule has published product documentation, fine-tuned detector models and a Claude Platform integration. No revenue or growth figures are disclosed, so the raise reads as proportional to an early enterprise motion and its efficiency stays unconfirmed. [s9, s8, s35, s17, s23] |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 3/5 | SecurityWeek and CTech place Capsule in AI agent security, and Google grouped its startup cohort into focus areas that include AI agent security and governance. The category is still forming, with Capsule using guardian agent and AI circuit breaker to describe its offering. Capsule also reports a listing in Gartner’s guardian-agent market guide. [s8, s22, s1, s19, s11] |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 | Capsule’s documentation lists connectors for agent platforms run by many different vendors, from Microsoft Copilot Studio and Salesforce Agentforce to SAP Joule and Zapier, tied to EDR and SIEM integrations. Its detectors are models it fine-tuned itself, and both add friction to absorbing the product. Each platform owner can still add agent controls for its own platform, and the cited record shows no data flywheel or multi-year lock-in, so the friction stops short of a structural moat. [s34, s35, s37, s17] |
Capsule Security addresses AI agents that act on enterprise systems and can be steered into unsafe actions. NIST’s January 2026 request for information in the Federal Register describes agent systems as able to take autonomous actions and as susceptible to hijacking, backdoor attacks and other exploits. The summary NIST published in May 2026 reports that commenters widely agreed these security concerns are a barrier to adoption.
Security leaders have put AI protection at the top of their plans. Gartner C-level Communities’ May 2026 survey of 1,600 CISOs, published by Evanta, ranks enabling and protecting AI first among their initiatives for 2026. Some respondents name concerns about agent access to sensitive systems and the lack of identity and access controls for AI agents.
Capsule’s own research shows the attack class on platforms enterprises already run. It reported ShareLeak to the Microsoft Security Response Center in November 2025, and Microsoft deployed a fix and published CVE-2026-21520, which NVD and the CVE Program record with a 7.5 High score. Capsule reported PipeLeak to Salesforce, and CTech reports that Salesforce confirmed it addressed the issue. [s31, s32, s28, s3, s15, s16, s29, s9]
The Capsule Security platform discovers AI agents, monitors what they do, and blocks unsafe actions before they execute. The homepage describes agentless discovery across home-grown systems, SaaS agent platforms and endpoints, and runtime intervention against risky commands, unsafe tool use, sensitive data exposure and unexpected action chains. White-box red teaming feeds the weaknesses it finds back into runtime protection.
Public documentation explains how the platform works. The architecture guide describes an API-first design in which hook integrations call the runtime service for each event and wait for its verdict, so a decision returns before the agent acts. Detection runs as a cascade in which a small language model triages every session and a larger model reasons over what it escalates, which the documentation says keeps full coverage affordable.
Capsule trained its own detection models. Capsule researchers collaborated with three NVIDIA contributors to fine-tune Nemotron models. They used real agent traces, frontier-model labels, human review and adversarial counter-examples. Capsule reports 93.9% accuracy at a 71-millisecond median. Capsule reports 96.9% accuracy for its most accurate detector against 86% for the strongest third-party model tested, and SiliconANGLE notes that Capsule did not name that model, so outside readers cannot check the comparison against a named rival.
Coverage extends to Anthropic’s products and to open-source agents. A Claude Platform integration monitors supported activity logs without controlling Claude’s behavior, alongside hooks and OpenTelemetry integrations for Claude Code. The open-source ClawGuard enforcer applies pre-execution judging to tool calls in the OpenClaw ecosystem. [s1, s35, s17, s19, s20, s23, s4]
Capsule Security positions its platform as one control layer across agent platforms from many vendors. Its documentation lists connectors for Microsoft Copilot Studio, Salesforce Agentforce, ChatGPT Enterprise, ServiceNow AI Agents, and coding agents such as Cursor and Claude Code, and SecurityWeek describes the product as an independent layer that works across frameworks, environments and tools.
Its argument against rival designs is architectural. Capsule’s post on MCP gateways argues that a gateway sees only what passes through that protocol and that many gateways require requests, and often credentials, to route through them. Capsule instead places checks in the agent runtime through hooks that block on its verdict.
Other startups are building agent controls for the same buyer. CTech describes Onyx Security as developing a platform to discover, manage and monitor autonomous AI agents. Buyers can therefore compare Capsule with specialist alternatives as well as with platform-native controls.
Platform owners are a second source of competition. Microsoft and Salesforce fixed the flaws Capsule reported in their own agent platforms, and each can extend controls for its own agents. For a buyer that runs agents on one platform, Capsule’s case depends on detection that goes beyond that platform’s native controls. [s34, s8, s6, s35, s22, s3, s9]
Capsule Security describes its customers by sector. Its September 2026 release says its enterprise customers include leading financial institutions and technology companies and that its technology already protects billions of tokens across millions of agent interactions, and SiliconANGLE relays both statements as Capsule’s own.
Named third parties appear as endorsers and collaborators. The release quotes Phillip Miller, H&R Block’s vice president and global chief security information officer, describing how Capsule stops unauthorized agent actions before they execute, and Capsule’s detector research credits three NVIDIA collaborators. The release also calls Capsule a security partner in Anthropic’s Claude Security Program. No independent confirmation of that partnership appears in the cited sources.
Program selections add independently documented signals. CrowdStrike named Capsule among the six finalists of the startup accelerator, chosen from nearly 1,000 applicants. CTech reports that Google selected Capsule for its first Gemini Startup Forum: Cybersecurity cohort of 33 startups.
The selling motion is sales-assisted. The site offers demo requests, its /pricing path returns the 404 page, and the documentation commits to 24/7 support for enterprise customers. [s18, s20, s17, s12, s22, s1, s40, s39]
Capsule Security’s founders have security-industry backgrounds. CTech reports that CEO Naor Paz came from F5 and Unit 8200 and that CTO Lidan Hazout came from Securedtouch and Transmit Security. Capsule’s launch release adds that Hazout was VP R&D at Securedtouch, which Ping Identity acquired.
Published research is the team’s most visible credential. Capsule researchers have published a series of disclosures and studies, including ShareLeak in Copilot Studio, PipeLeak in Agentforce, two Cursor IDE vulnerabilities and detector research with NVIDIA, and Microsoft’s CVE assignment gives ShareLeak an independent record.
The About page describes a team of security researchers, AI researchers and principal engineers and lists advisors including Chris Krebs, CISA’s first director, and Jim Routh, a former CISO across large enterprises. [s9, s11, s3, s15, s25, s17, s2]
Capsule Security publishes a trust center that lists SOC 2 Type II and ISO 27001:2022 and offers its SOC 2 report on request. The controls it describes include annual third-party penetration tests.
The documentation answers the operational questions an inline product raises. It commits to a 99.99% uptime SLA for platform APIs and 24/7 support for enterprise customers, and customers configure whether hooks fail open or closed. Customers can keep the database in their own private AWS network or bring their own encryption keys. Capsule retains only the access credential an administrator issues for each integration.
Capsule’s disclosure conduct is a further trust signal. ShareLeak went from a November 2025 report to the Microsoft Security Response Center to a Microsoft fix and CVE in January 2026, and CTech reports that Salesforce confirmed it addressed PipeLeak. [s14, s39, s35, s36, s38, s37, s3, s9]
| Company | Relationship | Note | Compare |
|---|---|---|---|
| Zenity | competes with | Competes for the same enterprise buyer of AI agent security across agent-building platforms. | |
| Lasso Security | competes with | Competes for the same security-team budget for protecting enterprise AI use and agents. | |
| Noma Security | competes with | Competes for the enterprise security team that owns AI agent risk. | |
| Operant AI | competes with | Competes for buyers of runtime protection for AI agents in production. | |
| Palo Alto Networks | competes with | Security incumbent adjacent to the same buyer. | N/AWe scored these companies at different scopes, so the totals measure different things. |
| Microsoft | competes with | Operates Copilot Studio, one of the agent platforms Capsule Security monitors, and can add native controls for its own agents. | N/AMicrosoft is scored by product line, not as a whole company, so there is no company-wide column to compare. Open its profile to compare a specific product. |
Add analyzed competitors to compare them side by side with Capsule Security.
A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.
reinforce or reposition
Capsule Security’s advantages over a copycat are its trained detector models and the breadth of its integrations. It fine-tuned its own detectors on labeled agent traces, returns verdicts inline before an agent acts, and documents connectors for many vendors’ agent platforms along with EDR and SIEM tools. A customer that writes policies in its portal and sends its audit events to a SIEM would have to rebuild that setup to leave. Its SOC 2 Type II and ISO 27001 attestations are ones a funded rival can also obtain. The labeled traces and the connector coverage are the parts of its position that took accumulated work to build.
| Dimension | Score | Rationale |
|---|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 1/3 | Capsule sells a software platform that the customer’s SOC analysts and security engineers operate, authoring policies in its portal, so the customer owns the outcomes. Its 24/7 support and research response times are service terms attached to that software. |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 | Customers author policies in Capsule’s portal, send its audit events to their SIEMs, and connect it to EDR, identity and agent-platform accounts, so leaving means rebuilding those policies and integrations in another product. The switching mechanism is documented, and the cited record does not size the migration or show non-portable state. |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 | Capsule’s trust center lists SOC 2 Type II and ISO 27001:2022 with reports on request, attestations a funded competitor can also obtain through ordinary enterprise preparation. No cited source names a regulation that requires this product or an authorization only Capsule holds, and its BYOK and customer-hosted options meet data-residency needs without binding a customer to Capsule. |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 | Capsule triages every session with a small language model, returns inline verdicts before an agent acts, and fine-tuned its detectors from labeled agent traces, which is real-time ML engineering. Its researchers also found the Copilot Studio flaw Microsoft recorded as CVE-2026-21520 with a 7.5 High score. |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 3/3 | Capsule’s release says its enterprise customers include leading financial institutions, which SiliconANGLE relays as Capsule’s statement, and under the buyer_profile policy an evidenced regulated buyer class suffices for this level. The statement names no institution, and the customer-hosted VPC option for strict regulatory data-residency requirements targets the same class. |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 | Capsule sells a platform with a portal, detections and policy management, and its hooks run inline only where customers install them and can be set to fail open. Its Claude Platform integration monitors activity logs without controlling Claude, so the product is a platform with application features rather than infrastructure other software cannot run without. |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 2/3 | Capsule retains fine-tuned detector models built from real agent traces, frontier-model labels, human review and adversarial counter-examples, a vendor-held model asset the cited record does not show as public. The record states neither the volume nor the origin of those traces, and a funded rival could assemble a similar labeled set with time and effort, so the asset is an accumulated advantage that can be replicated. |
Capsule Security sells to enterprise security teams whose organizations run AI agents on platforms from many vendors. Its documentation lists connectors for Microsoft Copilot Studio, Salesforce Agentforce, ChatGPT Enterprise, ServiceNow AI Agents, coding agents such as Cursor and Claude Code, and automation and enterprise tools such as Zapier, UiPath, SAP Joule and Workato.
The company describes its customers by sector. Its September 2026 release says its enterprise customers include leading financial institutions and technology companies, and its deployment options include a customer-hosted VPC for organizations with strict regulatory requirements for data residency.
The buyer Capsule targets has made AI protection a priority. Gartner C-level Communities’ May 2026 survey of 1,600 CISOs ranks enabling and protecting AI as the top initiative for 2026, and some respondents name agent access to sensitive systems as a concern.
Capsule Security’s AI advantage is a set of detection models trained for one decision, whether an agent’s next action is authorized. Its September 2026 research post, written in collaboration with three NVIDIA contributors, describes specializing Nemotron models to that decision boundary using real agent traces, frontier-model labels, human review and adversarial counter-examples. The result is a lightweight, swappable adapter on top of the base model.
Capsule reports strong results from its own tests. It reports 98% accuracy on StepShield, an academic benchmark that SiliconANGLE says runs monitors against 9,429 code-agent trajectories drawn from real incidents, using the benchmark’s own scoring method. Capsule reports 96.9% accuracy for its most accurate detector against 86% for the strongest third-party model tested, and no third party has published an evaluation of these detectors in the cited record, so the performance figures are Capsule’s own.
The platform uses those models where speed matters. A small language model triages every session and escalates only high-confidence signals to a larger model, and hook integrations wait for a verdict before the agent acts. The open-source ClawGuard enforcer brings the same pre-execution judging to tool calls in the OpenClaw ecosystem.
Capsule Security sells through demos and an enterprise support model. The site offers demo requests, its /pricing path returns the 404 page, and its documentation commits to 24/7 support for enterprise customers.
CrowdStrike named Capsule a finalist in the startup accelerator, Google selected it for its first Gemini Startup Forum: Cybersecurity cohort, and its detector research credits three NVIDIA collaborators. Its release also describes Capsule as a security partner in Anthropic’s Claude Security Program. No independent confirmation of that partnership appears in the cited sources. Capsule also launched a Claude Platform integration.
The customer evidence comes from Capsule itself. Its release says its customers include financial institutions and technology companies and quotes H&R Block’s global chief security information officer describing how Capsule stops unauthorized agent actions, without describing H&R Block as a customer.
No public prices appear in the reviewed sources, the /pricing path on Capsule Security’s site returns the 404 page, and the homepage offers a demo request.
The deployment models are the visible packaging. Capsule’s documentation describes multi-tenant SaaS, dedicated SaaS with customer-managed encryption keys, and a customer-hosted VPC for organizations that must keep data in their own environment.
Capsule Security runs its platform as a managed service with three deployment models. Customers choose multi-tenant SaaS, dedicated SaaS with their own encryption keys, or a customer-hosted AWS VPC that keeps the data plane in the customer’s environment while Capsule manages the control plane.
The operating commitments are documented. Capsule promises a 99.99% uptime SLA for platform APIs, 24/7 support for enterprise customers, and response times for new attack mechanisms its research team or outside sources identify.
Inline enforcement is configurable. Hook integrations block on Capsule’s verdict before an agent acts, and customers set whether hooks fail open or closed, which trades availability against enforcement when the service cannot answer. For endpoint telemetry Capsule integrates with Microsoft Defender for Endpoint and CrowdStrike Falcon.
Capsule Security publishes its compliance posture in a trust center. The center lists SOC 2 Type II and ISO 27001:2022, describes controls that include annual third-party penetration tests, and offers the SOC 2 report on request.
The documentation covers how Capsule handles the access its product needs. Capsule holds only the OAuth or API credential an administrator issues for each integration, which the customer can revoke upstream. Customers with strict isolation needs can keep the database in their own VPC or manage their own encryption keys.
Capsule’s disclosure record is further evidence of security practice. It reported ShareLeak to the Microsoft Security Response Center in November 2025 before Microsoft fixed it and published CVE-2026-21520, and CTech reports that Salesforce confirmed it addressed PipeLeak.
Capsule Security builds its ecosystem position around runtime hooks. It is on the core team of the Agent Control Standard, an open, MIT-licensed standard for runtime governance of AI agents that is at version 0.1.0 in public preview. The standard’s hooks let a guardian agent permit, deny, modify or defer an action before it executes.
Integrations connect Capsule to tools customers already run. Capsule’s platform takes in EDR, agent platform and hook events, sends audit events to downstream SIEMs, and exposes a public GraphQL API, and a Claude Platform integration adds Anthropic-hosted activity to the same view.
Open-source work reaches developers directly. Capsule publishes the ClawGuard enforcer for OpenClaw on GitHub, and it built its detectors on NVIDIA’s Nemotron models in collaboration with NVIDIA contributors.
Capsule Security’s founders have security-industry backgrounds. CTech reports that CEO Naor Paz came from F5 and Unit 8200 and that CTO Lidan Hazout came from Securedtouch and Transmit Security, and Capsule’s release adds that Hazout was VP R&D at Securedtouch, which Ping Identity acquired.
The research bench publishes under named authors. Bar Kaduri, Elnatan Revital and Lidan Hazout of Capsule wrote the detector research in collaboration with NVIDIA contributors, and the blog shows disclosures and studies, including ShareLeak, PipeLeak and two Cursor IDE vulnerabilities.
Investors and advisors add security-industry experience. Lama Partners and Forgepoint Capital International led the seed, and a partner from each firm is a Capsule board member. The advisors include Chris Krebs, CISA’s first director, and Jim Routh, a former CISO across large enterprises.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Capsule Security: AI Agent Runtime Security Platform | official | 2026-09-23 |
| f2 | CTech: Capsule Security raises $7 million Seed to secure enterprise AI agents | press | 2026-09-23 |
| f3 | SecurityWeek: Capsule Security Emerges From Stealth With $7 Million in Funding | press | 2026-09-23 |
| f4 | Capsule Security stealth-exit press release (Business Wire, April 15, 2026) | press | 2026-06-11 |
| f5 | AI Defense Matrix Catalog entry | other | 2026-06-10 |
| f6 | AI Defense Matrix Catalog mapping | other | 2026-09-23 |
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