Best AI Agent Governance Platforms in 2026: 8 Compared
Most of the market can find your agents and watch them. Very few products can hold one. This guide compares eight platforms across discovery, identity, runtime security and containment — and is explicit about which is which.
Twelve months ago 'agent governance' meant a spreadsheet of copilots. Since then the category has hardened fast: Microsoft shipped Agent 365 to general availability (May 2026) as a first-party agent control plane; Cisco followed its Robust Intelligence deal by acquiring Astrix Security for a reported ~$400M (May 2026); WitnessAI raised $58M and extended into agentic control; Noma Security closed a $100M Series B; and Gartner tagged Zenity the category's 'Company to Beat'. Palo Alto Networks' Prisma AIRS 3.0 (March 2026), Prompt Security (now part of SentinelOne) and Lakera (now part of Check Point) press on the same problem from the AI-security side.
This guide compares eight platforms that enterprises actually shortlist for governing AI agents. The through-line to keep in mind: almost everyone can discover and monitor agents now. Almost no one can contain one.
What counts as AI agent governance platforms in 2026
An AI agent governance platform answers four questions with tooling, not policy documents. Which agents exist? — discovery and a registry, including the shadow agents nobody registered. Who is accountable for each? — identity, ownership and lifecycle, increasingly agent-level credentials rather than shared service accounts. What is each agent doing? — runtime monitoring of tool calls, MCP connections and data movement. And what happens when one misbehaves? — the enforcement question, where the market quietly divides.
Most vendors answer the fourth question with detection and response: alert, revoke a permission, quarantine, block a connection. Those are real controls, and for many estates they are enough. But they act after the agent has done something observable. Containment is the stricter property — the agent physically cannot reach systems outside its allowed surface, because it executes inside an isolated runtime. In this set of eight, only two products ship a sandbox at all: Cisco's open-source DefenseClaw (scoped to the OpenClaw runtime) and Kosmoy's Action Capsule (any agent, MCP server or private model). Monitoring an agent is not containing it, and this guide scores the two separately.
The category is also consolidating around bigger balance sheets. Security buyers now weigh venture-backed specialists (Zenity, Noma, WitnessAI) against platform giants attaching agent governance to estates they already own (Microsoft, Cisco, Palo Alto Networks). Both bets are rational; they fail differently. A specialist can be acquired and repackaged; a platform giant governs its own ecosystem best and others second.
Two adjacent categories overlap but do not substitute. GRC governance platforms (Credo AI here; OneTrust and IBM in our governance guide) hold the program of record but do not sit in the agent's execution path. Agent engineering platforms (LangSmith here) build and evaluate agents but assume someone else answers the governance questions.
How we scored the field
Every product is scored 0–10 on the same ten capability axes. A 10 is reserved for categorical architectural facts; specialists are expected to outscore platforms on their own spoke, and the scores show it.
AI Inventory & Discovery
Can the platform enumerate every agent in the organization — including shadow agents and agents built on third-party platforms — in one registry with owners?
Security & Shadow AI
Shadow-agent discovery, posture management of agent configurations and permissions, and runtime threat detection (prompt injection, data exfiltration, tool misuse).
Observability & FinOps
Visibility into agent behavior — execution paths, tool calls, cost and usage attribution — not just security alerts.
Gateway & Policy Control
A runtime enforcement point on agent/LLM/MCP traffic: policy applied in-path, not advisory.
Guardrails & Runtime Safety
In-line blocking of prompt injection, PII leakage and unauthorized data movement at runtime.
Agent Containment
Scored strictly: sandboxed execution, scoped per-task credentials and a kill switch. Detection, quarantine and permission revocation score lower; monitoring alone scores near zero.
Compliance & Audit
Audit-ready evidence of agent governance mapped to frameworks (EU AI Act, ISO/IEC 42001, NIST AI RMF, OWASP, MITRE ATLAS).
Testing, Evals & Red-teaming
Testing and red-teaming of agents before and after deployment — adaptive attacks, not just static checklists.
Agent Building
Whether customers can build and ship agents on the platform itself.
Deployment Sovereignty
Where the governance plane runs: SaaS-only scores low; self-hosted and air-gap-capable score high.
The field, scored
| Capability (0–10) | Kosmoy | Zenity | Noma Security | WitnessAI | Cisco AI Defense | Credo AI | Microsoft Agent 365 (Entra Agent ID · Foundry · Purview) | LangSmith (LangChain) |
|---|---|---|---|---|---|---|---|---|
| AI Inventory & Discovery | 9 | 9 | 9 | 8 | 8 | 8 | 9 | 2 |
| Security & Shadow AI | 8 | 9 | 9 | 9 | 9 | 3 | 9 | 3 |
| Observability & FinOps | 7 | 5 | 4 | 5 | 4 | 3 | 7 | 9 |
| Gateway & Policy Control | 8 | 5 | 6 | 7 | 7 | 1 | 6 | 5 |
| Guardrails & Runtime Safety | 8 | 8 | 8 | 8 | 8 | 1 | 8 | 4 |
| Agent Containment | 9 | 6 | 6 | 2 | 7 | 1 | 7 | 7 |
| Compliance & Audit | 9 | 6 | 5 | 7 | 5 | 9 | 7 | 4 |
| Testing, Evals & Red-teaming | 4 | 3 | 8 | 4 | 8 | 4 | 7 | 9 |
| Agent Building | 6 | 0 | 0 | 0 | 1 | 0 | 9 | 9 |
| Deployment Sovereignty | 10 | 2 | 8 | 7 | 4 | 2 | 5 | 9 |
Bold marks the highest score on each row. 10 is reserved for categorical architectural facts; specialists are expected to outscore platforms on their own spoke.
Capability shape, vendor by vendor
Each panel shows one vendor across the same ten axes. Read it as area: a specialist climbs on its own spoke and falls away on the rest; a platform holds the frontier. The dashed outline is Kosmoy for reference.
The vendors, by buyer type
No single 1-to-N ranking survives contact with a real shortlist — the right pick depends on who is buying. Each vendor below is labeled with the buyer it fits best.
Kosmoy
AI management platformContain and govern agents in your own infrastructure
A self-hosted control plane for enterprise AI: one inventory, one policy gateway, one audit trail and a containment sandbox for every model, agent and MCP server a company runs.
Kosmoy treats agent governance as an architecture problem. Its master agent registry pulls agent inventories from Azure AI Foundry, AWS Bedrock, Google Vertex AI, Salesforce and ServiceNow into one list — flagging what nobody registered — and its Action Capsule runs each agent, MCP server or private model in a kernel-enforced sandbox (namespaces, cgroups v2, Seccomp, Landlock) whose only egress is its paired gateway, with per-task credentials and a kill switch operated from Mission Control. That combination — cross-platform registry plus enforced containment — is near-unique in this set, and it all runs single-tenant in the customer's own Kubernetes, air-gapped if needed. Italy's central bank and banking regulator and Europe's largest defence and aerospace group run it in production.
The honest concessions: the security specialists out-detect it — Kosmoy has no posture-management engine or adaptive red-teaming suite, so teams pair it with a Zenity or Noma for AISPM and testing — and Microsoft and LangSmith are far stronger places to build agents.
Strengths
- Four registries — AI systems, models, MCP servers and a master agent registry that pulls agents from Azure AI Foundry, Bedrock, Vertex, Salesforce and ServiceNow into one list.
- One OpenAI-compatible gateway enforcing guardrails, RBAC, budgets and logging on every LLM, MCP and A2A call.
- Action Capsule: kernel-enforced sandboxing for agents, MCP servers and private models, with per-task credentials and a kill switch.
Limits
- No dedicated evaluation or red-teaming suite — teams pair Kosmoy with a specialist evals tool.
- The agent builder covers governed internal use cases; dedicated agent-development platforms go deeper.
- No free or self-service tier — procurement runs through an enterprise sales process.
Zenity
AI agent security & governance platform (AISPM + AIDR)Copilot and low-code agent security, buildtime to runtime
Zenity is a SaaS security and governance platform purpose-built for enterprise AI agents and copilots — automatic discovery, posture management (AISPM) and runtime detection & response (AIDR) across Copilot Studio, Power Platform, M365 Copilot, ChatGPT Enterprise and homegrown agents.
Zenity has the broadest documented coverage of business-platform agents — Copilot Studio, Power Platform, M365 Copilot, ChatGPT Enterprise, Azure AI Foundry, homegrown and endpoint agents — spanning discovery (Observe), posture (AISPM) and runtime detection and response (AIDR). Its inline, step-level prevention inside Copilot Studio agents reached GA in November 2025, which is deeper than the API-log monitoring most rivals offer, and Gartner's 'Company to Beat' label reflects genuine category leadership.
Its response actions — quarantine, permission revocation, execution blocking — are real but stop short of a sandboxed runtime, and the platform is SaaS-only with no self-hosted option documented as of July 15, 2026. The deepest enforcement is Microsoft-ecosystem specific.
Strengths
- The broadest documented coverage of business-platform agents in the category: Copilot Studio, Power Platform, M365 Copilot, Fabric, ChatGPT Enterprise (via the OpenAI Compliance API), Azure AI Foundry, plus homegrown and endpoint agents (Zenity platform).
- An end-to-end buildtime-to-runtime story — Observe (discovery), AISPM (posture) and AIDR (detection & response) — rather than detection alone (AISPM).
- Inline, step-level prevention inside Microsoft Copilot Studio agents reached GA in November 2025, with Microsoft Foundry in preview — enforcement inside the agent's execution path, deeper than API-log monitoring (announcement).
Limits
- SaaS-only: no self-hosted, customer-VPC or air-gapped deployment documented as of July 15, 2026.
- Containment is response-action based — agent quarantine, permission revocation, execution blocking — with no sandboxed execution environment for agents.
- Deepest (inline) enforcement is Microsoft-ecosystem specific (Copilot Studio GA, Foundry preview); coverage of other stacks is monitoring- and posture-oriented.
Noma Security
Unified AI & agent security platform (discovery, AISPM, red teaming, runtime protection)AI & agent security with self-hosted deployment and red teaming
Noma Security is an enterprise AI security platform covering discovery, posture management (AISPM), automated red teaming, runtime protection and — since June 2026 — identity-based access control for agents and MCP servers, deployable SaaS or self-hosted.
Noma covers the full lifecycle in one platform — discovery, posture, adaptive CI/CD-embedded red teaming, runtime protection — with posture findings auto-configuring runtime policies. Its Agent Access Control launch (June 2026) added what most competitors lack: a per-agent identity with approve/review/block states and tool-level access policies for agents and MCP servers. Unusually for the category, SaaS and on-prem/self-hosted deployments are both documented, so security events need not leave the customer environment.
It is not a gateway (no routing or failover — the Kong plugin fills that), containment is connection-level blocking rather than sandboxed execution, and EU AI Act / ISO 42001 evidence automation is not prominently documented.
Strengths
- One of the best-funded AI-security pure-plays: $132M raised in under two years, including a $100M Series B in July 2025 led by Evolution Equity Partners.
- Full lifecycle in one platform — discovery, posture, red teaming, runtime enforcement — with AISPM risk scores auto-configuring runtime guardrail policies (Runtime Protection).
- Agent Access Control (June 2026): an enterprise agentic registry giving each agent a distinct identity, approve/review/block governance states and tool-level access policies for agents and MCP servers (launch announcement).
Limits
- No sandboxed execution environment for agents — containment is per-agent identity plus connection-level blocking, not runtime isolation.
- Not an LLM gateway: no model routing, provider failover or centralized LLM traffic management (the Kong partnership fills this gap).
- No FinOps or cost observability (token spend, budgets, chargeback) documented as of July 15, 2026.
WitnessAI
Employee & agent AI-use observation and policy enforcement (shadow-AI security)Employee and agent AI-use governance at the network level
WitnessAI is a network-level AI security and governance platform that observes how employees and (since January 2026) AI agents use AI apps, enforces intent-based policies — allow, warn, block, route, redact — and defends against prompt attacks at runtime.
WitnessAI watches the traffic layer: every AI app, agent, MCP server and conversation cataloged at network level without endpoint clients, with intent-based policies that allow, warn, block, route or redact by role and department, and real-time tokenization that keeps PII inside the enterprise. Its January 2026 $58M round funded the agentic extension — monitoring which agents are active, linking human and agent identities, and blocking attacks before they reach agents.
It is the strongest pick here for the employee-usage (shadow AI) problem and the weakest on containment: agents are observed and shielded, but there is no sandbox, scoped credential or kill switch documented — which is why it scores 2 on that axis.
Strengths
- Network-level architecture sees AI use that browser-extension and web-proxy rivals miss: native desktop apps (Windows 11 Copilot, Office 365), IDEs and API-driven agent workflows, with no endpoint clients (Observe).
- An intent-based policy engine that goes beyond allow/block: warn, route and redact AI interactions by role, department and conversational intent (product).
- Real-time data tokenization lets employees use external AI while PII and credentials never leave the enterprise (data tokenization).
Limits
- Agent security (added January 2026) is monitoring and prompt-blocking: no agent containment, sandboxing, scoped-credential mechanism or kill switch is documented as of July 15, 2026.
- No buildtime posture assessment of agent configurations (unlike Zenity or Noma) — coverage starts at runtime traffic.
- No FinOps or token-cost management despite logging every AI interaction.
Cisco AI Defense
Enterprise AI security suite embedded in a network-security portfolioNetwork-scale agent security for Cisco estates
Cisco AI Defense (built on the Robust Intelligence acquisition) combines employee AI-access control, AI asset discovery across clouds, algorithmic model validation and network-enforced runtime guardrails, expanded through 2026 to agentic/MCP governance and open-source agent sandboxing (DefenseClaw).
Cisco moved fastest among the giants on agentic governance: AI BOM, an MCP Catalog and in-path MCP policy control landed in February 2026, agent zero-trust IAM via Duo in March 2026, and the Robust Intelligence heritage supplies genuinely strong algorithmic red teaming. DefenseClaw, its open-source governance framework, is the only shipping agent sandbox in this set besides Kosmoy's — admission control plus OpenShell's network/filesystem/syscall isolation.
The caveats: DefenseClaw's sandbox is scoped to the OpenClaw runtime, not arbitrary agent frameworks; the strongest value assumes the broader Cisco stack (Secure Access, Hypershield); and the management plane is Cisco SaaS with no compliance-evidence automation for AI regulation.
Strengths
- Top-tier model validation and algorithmic red-teaming pedigree via the Robust Intelligence acquisition, continuously updated by Cisco-scale threat research (model validation).
- Enforcement fused into network infrastructure the enterprise already owns — Secure Access SSE, Hypershield eBPF enforcement points, switches — so guardrails apply without app code changes (Hypershield overview).
- Moved fastest among large vendors on agentic/MCP governance: AI BOM, MCP Catalog and in-path MCP policy control (February 2026), plus agent zero-trust IAM via Duo and Identity Intelligence (March 2026) (expansion announcement).
Limits
- Strongest value requires the broader Cisco stack (Secure Access, Hypershield, Duo, Identity Intelligence) — the standalone footprint is narrower.
- Sandboxing and containment (DefenseClaw/OpenShell) are currently scoped to the OpenClaw agent runtime, not arbitrary enterprise agent frameworks.
- No EU AI Act, ISO/IEC 42001 or NIST AI RMF compliance-evidence automation documented as of July 15, 2026.
Credo AI
AI governance, risk & compliance platformThe agent-governance program of record
Credo AI is a SaaS AI-governance platform that inventories AI systems, agents and vendors, applies regulation-derived Policy Packs (EU AI Act, NIST AI RMF, ISO 42001) and produces risk assessments and audit-ready compliance evidence.
Credo AI comes at agents from the GRC side: an Agent Registry (public preview since September 2025) for internal and third-party agents with risk assessments and human-oversight intervention points, Policy Packs that translate the EU AI Act, NIST AI RMF and ISO 42001 into controls, and a Gartner Visionary position in the 2026 Magic Quadrant for AI Governance Platforms. For the committee that must show regulators a defensible agent-governance program, it is a natural anchor.
It does not touch the runtime: no gateway, no in-line guardrails, no containment — Credo AI's own May 2026 GAIA announcement describes runtime enforcement as next on its roadmap. Pair it with an enforcement layer from this list; it is the complement, not the competitor, of most entries here.
Strengths
- Named a Leader in The Forrester Wave: AI Governance Solutions, Q3 2025, with the highest possible scores in 12 criteria including AI Policy Management and AI Regulatory Compliance Audit (announcement).
- A Visionary in the inaugural Gartner Magic Quadrant for AI Governance Platforms (June 16, 2026), and No. 6 in Applied AI on Fast Company's Most Innovative Companies of 2026 (recognition page).
- Deep regulation-to-control translation: Policy Packs for the EU AI Act, NIST AI RMF, ISO 42001, SOC 2 and NYC Local Law 144, with intake-based risk classification, fundamental-rights impact assessments and CE-marking support (EU AI Act tooling).
Limits
- No shipped runtime enforcement — no gateway, in-line guardrails or agent containment as of July 15, 2026; Credo AI's own GAIA GA announcement (May 2026) describes runtime governance ('policy enforcement and intervention at the point of use') as next on its roadmap.
- SaaS-first: no vendor-documented self-hosted or air-gapped deployment option as of July 15, 2026; third-party sources conflict on private-cloud availability.
- No public pricing — enterprise quotes only, with no free tier or self-serve evaluation path.
Microsoft Agent 365 (Entra Agent ID · Foundry · Purview)
First-party agent governance control plane (identity, data security, threat protection)First-party governance for Microsoft-built agents
Microsoft's agent-governance stack — Agent 365 (control plane and registry, GA May 2026) over Entra Agent ID identities, Microsoft Foundry guardrails and evals, Purview data security and Defender threat protection — governs agents across the Microsoft estate and, increasingly, third-party stacks.
Microsoft leads with Agent 365, GA since May 1, 2026: a control plane whose registry inherits the tenant directory, so agents built in Copilot Studio and Foundry receive Entra Agent ID identities — with conditional access, sponsors and lifecycle — automatically. Defender finds 25+ local agent and MCP-server types on endpoints, Purview extends DLP, audit and insider-risk machinery to agent interactions, and reports at GA describe support for agents built on AWS Bedrock and Google Vertex AI. For a Microsoft-standardized enterprise this is the least-integration-work answer on the page.
Depth outside the Microsoft estate is newer and in places preview-only; the governance plane is Microsoft-cloud SaaS with no self-hosted option; and containment is quarantine and policy blocking, not a sandboxed runtime.
Strengths
- The only vendor where agent identity is native to the enterprise directory: agents built in Copilot Studio and Microsoft Foundry automatically receive Entra Agent ID identities with conditional access and lifecycle governance.
- Agent 365 (GA May 1, 2026) unifies registry, access control, fleet observability and security over the agent estate, and per reports extends to agents built on AWS Bedrock and Google Vertex AI.
- Deep shadow-agent discovery across endpoints and network: Defender finds 25+ local agent and MCP-server types on Windows/macOS, and Entra detects unknown AI apps at the network layer (GA March 2026) (secure agentic AI end-to-end).
Limits
- Governance depth is strongest for Microsoft-built agents; third-party coverage (Bedrock, Vertex, LangChain/CrewAI) is newer, partial, and in places preview-only as of July 15, 2026.
- Requires the Microsoft cloud estate — no self-hosted or air-gapped governance plane — with capabilities spread across multiple SKUs (Agent 365, Purview, Entra, Defender, Azure).
- No general sandboxed execution environment for agents: containment levers are quarantine, conditional access and policy-based blocking (some still in preview).
LangSmith (LangChain)
LLM observability, evals & agent engineering platformAgent engineering: build, trace, evaluate
LangSmith is LangChain's commercial platform for agent engineering — tracing, evaluation, prompt management, agent deployment, sandboxes and a no-code agent builder, plus an LLM gateway in private beta — layered on the MIT-licensed LangChain and LangGraph frameworks.
LangSmith earns its slot from the builder's side of the problem. LangChain and LangGraph feed the platform; tracing and evals are category-leading; Sandboxes (GA May 2026) isolate agent code execution with egress-proxy rules; and Fleet adds human-in-the-loop approvals and per-user agent credentials. Its self-hosted Kubernetes option with an offline air-gapped license is a sovereignty story most of this list cannot match.
What it is not: an organization-wide governance layer. Visibility covers what is built on or instrumented with LangSmith, its LLM gateway is private beta, and there is no EU AI Act or ISO 42001 tooling. Teams commonly run LangSmith for engineering and a platform like Kosmoy or Credo AI for governance.
Strengths
- The deepest ecosystem gravity in the category: LangChain (~141.8k stars) and LangGraph (~37.3k stars) are MIT frameworks feeding the commercial platform, backed by a $125M Series B at a $1.25B valuation (October 2025).
- Category-leading evaluation tooling: datasets with splits, experiments and pairwise comparison, LLM-as-judge, code and composite evaluators, online and multi-turn thread evaluators, and annotation queues with rubrics (evaluation docs).
- Framework-agnostic observability with native OpenTelemetry ingestion, automatic token/cost tracking with per-model pricing, dashboards and alerts (observability docs).
Limits
- The LLM Gateway is private beta (waitlist) with a narrow policy surface — spend limits plus PII/secrets redaction across 7 providers; no routing, failover or fine-grained content policies documented as of July 15, 2026.
- No org-wide AI inventory or shadow-AI discovery — visibility covers applications instrumented with LangSmith or routed through its gateway.
- No EU AI Act, ISO/IEC 42001 or NIST AI RMF governance tooling documented as of July 15, 2026; the compliance story is security certifications (SOC 2 Type II, ISO 27001, HIPAA, GDPR) plus audit logs.
Questions buyers ask
Is Zenity better than Kosmoy for AI agent security?
For detection and posture, often yes. Zenity has broader business-platform coverage (Copilot Studio, Power Platform, ChatGPT Enterprise), a posture-management engine Kosmoy does not offer, and inline prevention inside Copilot Studio agents. Kosmoy wins where the requirement is containment and sovereignty: a kernel-enforced sandbox with a kill switch, and a platform that runs entirely in your own Kubernetes. Security-led buyers in the Microsoft ecosystem should shortlist Zenity first; regulated buyers who must enforce and self-host should shortlist Kosmoy.
Do I still need an agent governance platform if I have Microsoft Agent 365?
If your agents live in Copilot Studio and Foundry and your compliance needs are covered by Purview, possibly not. You still might if: your agents span Bedrock, Vertex, Salesforce or homegrown frameworks (Agent 365's third-party coverage is newer and partly preview); you need a governance plane that runs in your own infrastructure rather than Microsoft's cloud; or you need EU AI Act / ISO 42001 evidence generation, which Microsoft does not document for agents as of July 15, 2026.
Which platforms can actually contain a compromised AI agent?
Strictly, two in this set ship a sandbox: Cisco's open-source DefenseClaw (OpenShell isolation, scoped to the OpenClaw runtime) and Kosmoy's Action Capsule (kernel-enforced isolation for any agent, MCP server or private model, with default-deny egress and a kill switch). Zenity, Noma and Microsoft offer real but softer levers — quarantine, permission revocation, connection blocking. WitnessAI and Credo AI monitor and alert. All of those are useful; only the first category makes unauthorized reach architecturally impossible.
Can I run Kosmoy together with Zenity, Noma or Cisco AI Defense?
Yes, and the combination is coherent rather than redundant: the security platform finds agents, assesses posture and red-teams them; Kosmoy registers them with owners and risk tiers, routes their traffic through a policy gateway, and physically contains the ones that act autonomously. Several of these vendors' own materials position posture and runtime as layered controls — the layering just extends one level further down.
What does an AI agent governance platform cost?
Almost every vendor here sells on enterprise quote — Zenity, Noma, WitnessAI, Cisco, Credo AI and Kosmoy publish no price lists. Microsoft licenses Agent 365 per user with details on its product page, and LangSmith has a free developer tier with paid plans on its pricing page. Budget for the platform plus integration work; the marketplaces (AWS, Azure) often carry private offers for the specialists.
Methodology
Every factual claim on this page traces to vendor documentation, press releases or analyst coverage accessed on July 15, 2026, and cited in the Sources list; where a vendor does not document a capability, we say so with that date rather than assuming absence of evidence is evidence of absence.
Radar scores follow the same rules on every Kosmoy comparison page: 10 is reserved for categorical architectural facts, specialists outscore Kosmoy on their own spoke (four vendors here score 9 on Security & Shadow AI against Kosmoy's 8, and Microsoft and LangSmith score 9 on Agent Building against Kosmoy's 6), and containment is scored strictly — sandboxed execution with scoped credentials and a kill switch scores high; quarantine and permission revocation score mid; monitoring scores near zero.
No vendor paid for placement. Kosmoy publishes this page and we state plainly where competitors win; see also our guide to managing AI agents in production and the research on shadow AI risk that motivates the inventory axis.
Sources
Every factual claim about another vendor on this page traces to that vendor's own published material or a named third-party source below.
- Microsoft Agent 365 general availability (May 1, 2026) — accessed July 15, 2026
- Zenity inline prevention GA for Copilot Studio (Nov 18, 2025) — accessed July 15, 2026
- Noma Agentic Access Control launch (Jun 2, 2026) — accessed July 15, 2026
- WitnessAI $58M raise and agent security expansion (Jan 13, 2026) — accessed July 15, 2026
- Cisco agentic-era AI Defense expansion (Feb 10, 2026) — accessed July 15, 2026
- Credo AI — GAIA GA and runtime-governance roadmap (May 13, 2026) — accessed July 15, 2026
- Kosmoy Action Capsule — accessed July 15, 2026
- Kosmoy Agents Master Registry — accessed July 15, 2026
- Kosmoy Platform — accessed July 15, 2026
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- Kosmoy AI Compliance — accessed July 15, 2026
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- LangSmith self-hosted egress & air-gapped licensing (docs) — accessed July 15, 2026
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- LangSmith Sandboxes (docs) — accessed July 15, 2026
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- Fortune — LangChain raises $125M at $1.25B valuation — accessed July 15, 2026
Shortlisting for a regulated environment?
Kosmoy puts an inventory, a policy gateway and a containment sandbox around every AI your teams run — in your own Kubernetes.
Or email sales@kosmoy.com.