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.
PointGuard AI, formerly AppSOC, sells enterprise security teams a platform that secures AI models, agents and the Model Context Protocol servers that connect agents to tools. It finds those assets, runs adversarial tests on them, and checks each agent action against policy before it executes. It built its application security product in 2022 and added AI security in 2024. Its named customers are Finastra, Texas Mutual Insurance, Bertelsmann and Dunhumby. Palo Alto Networks and Cisco bought rivals Protect AI and Robust Intelligence, so a buyer can now get comparable AI security inside a larger platform. Beyond that overlap, PointGuard has built a catalog of trust ratings for thousands of those servers from its own testing, and a rival would need comparable testing to match it.
| Description | PointGuard AI is a security platform for enterprise AI agents, MCP infrastructure, and models. It discovers AI resources across the environment, runs adversarial testing before deployment, and governs autonomous agents at runtime through Agent Mission Control and an MCP security gateway. | [f1] |
|---|---|---|
| HQ | San Jose, California, United States | [f2] |
| Product | What it does |
|---|---|
| PointGuard AI Platform | Platform to discover, test, and govern enterprise AI and autonomous agents, spanning posture management, adaptive red teaming, runtime guardrails, Agent Mission Control, and an MCP security gateway. |
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 Orchestration Tools Agentic orchestration tools, plus their plugins, skills, hooks, system prompts, scaffolding, harnesses, configuration settings, and MCP clients on user devices. | ||||||
| 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 Gateways & Routers MCP proxies and gateways, LLM routers, outbound AI-service traffic, shadow AI egress, and model-registry traffic. | ||||||
| AI Model Model weights, fine-tuning checkpoints, model cards, registries, 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. |
PointGuard AI discovers AI agents, MCP servers and models, runs adversarial testing and posture management before deployment, and enforces runtime guardrails and prompt-level policy through its MCP security gateway. It is mapped to the AI Defense Matrix. [f3]
Cyber Defense Matrix
| Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|
| Devices Workstations, servers, phones, tablets, storage, network devices, IoT infrastructure, and similar hardware. | |||||
| Applications Software, interactions, and application flows on the devices. | |||||
| Networks Connections and traffic flowing among devices and apps, plus communication paths. | |||||
| Data Content at rest, in transit, or in use across devices, apps, and networks. | |||||
| Users The people using the devices, apps, networks, and data. |
Through its application-security heritage as AppSOC, PointGuard AI inventories application security posture and detects code and dependency vulnerabilities across enterprise software. This capability is mapped to the Cyber Defense Matrix. [f4]
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. | 3/5 | PointGuard names one buyer, the enterprise security team accountable for AI models, autonomous agents and the Model Context Protocol servers they call, and Gartner's AI trust, risk and security management category frames the same problem. The analyst placements establish that the category exists, while no cited source quantifies the pain for a named buyer, which is what the rung above asks for. [s1, s6, s11] |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs and third-party validation. | 3/5 | The product pages carry specific mechanism, down to evaluating every agent action before it executes, isolating a misbehaving agent inside a contained boundary, and issuing cryptographic agent identities. The one outside assessment, a Gartner description of Agent Mission Control, reaches the record through PointGuard's own announcement, and the cited record carries no third-party technical evaluation, inspectable code or customer engineering writeup. [s4, s5, s8] |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 3/5 | Enterprise adoption of the Model Context Protocol is the enabler PointGuard names, and Gartner's 1 July 2026 report on AI software security innovations dates independent attention to the category. That is one kind of signal, analyst coverage, repeated twice. The record's other demand signals are vendor-mediated, an AI-security spending figure on PointGuard's homepage and a Databricks engineer's remark about evolving AI regulation, so one kind of independent buyer-side evidence carries the score. [s1, s8, s11, s16] |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 4/5 | Pravin Kothari co-founded ArcSight, which HP acquired, and founded CipherCloud, whose acquisition Lookout records in its own newsroom while naming him CipherCloud's founder and chief executive. Two prior in-domain builds with exits, one corroborated by the acquirer, clear the rung, and the record carries neither the sustained publication record nor the independent recognition the top rung asks for. [s3, s21, s22, s25] |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 4/5 | Four named reference customers appear in the case-study index, Finastra, Texas Mutual Insurance, Bertelsmann and Dunhumby, and SiliconANGLE lists PointGuard among the partner integrations Databricks introduced with its cybersecurity platform. Named references plus a partnership motion an outside outlet carries clear the rung, and no third party reports customer count or revenue. [s7, s10, s20] |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 2/5 | The output side of this dimension is documented: PointGuard runs a platform with named reference customers and unveiled an agent-control product in July 2026. The capital side is silent, with no funding amount, round, date or named investor in the reviewed record, and one-sided evidence sits a rung above the floor, which is reserved for capital evidence that cuts against the company. [s7, s12] |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 3/5 | Gartner has placed the company twice, in a 2025 market guide for AI trust, risk and security management and a July 2026 report on AI software security, so a buyer has a shelf to put it on. Both placements reach the record through PointGuard's own announcements, and the platform still spans application-security scanning, AI posture, red teaming and agent runtime control, a span the company explains for the buyer. [s6, s8, s11] |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 | Palo Alto Networks completed its purchase of Protect AI in July 2025 and Cisco records Robust Intelligence as acquired in October 2024, so two vendors securing AI applications and models now ship inside larger suites. Its friction against absorption is the agent control plane and its rated catalog of MCP servers, and the cited record evidences neither a data flywheel nor the deep workflow embedding the rung above requires. [s5, s18, s19, s23, s24] |
PointGuard AI sells to the enterprise security team that has to secure AI faster than it can govern it. Organizations now run AI models, autonomous agents and Model Context Protocol servers across their environments, and the security leader who owns that exposure is the buyer.
Gartner frames the same problem under its AI trust, risk and security management category and lists PointGuard as a representative vendor. That gives a buyer a category name for the platform, and it says nothing about what a specific customer loses today.
The buyers who appear by name are Finastra, Texas Mutual Insurance, Bertelsmann and Dunhumby. The same case-study index carries an unnamed national defense agency and a regional government agency. [s1, s7, s11]
PointGuard sells one platform across the AI and agent lifecycle. It discovers AI models, agents and MCP servers, hardens their configuration, tests them with adaptive red teaming, and enforces runtime guardrails from a single console and policy plane.
Agent Mission Control, unveiled on 30 July 2026, is the newest piece and the most specific. It issues each agent a cryptographic identity, evaluates every action before the agent executes it, and contains a misbehaving agent through sandboxing, circuit breakers or a kill switch.
The MCP Security Gateway is the control point for how agents reach tools and data, enforcing zero-trust authorization on each call. Beside it the company maintains trust ratings for thousands of MCP servers drawn from its own security testing. [s1, s4, s5, s12]
PointGuard competes in a field platform vendors entered by acquisition. Palo Alto Networks announced completion of its purchase of Protect AI in July 2025, and Cisco records Robust Intelligence as acquired in October 2024. Palo Alto Networks now folds Protect AI's model scanning, posture management, red teaming and runtime protection into Prisma AIRS, and Cisco puts Robust Intelligence at the core of Cisco AI Defense.
The company's answer is breadth. One platform covers discovery, posture management, red teaming, runtime guardrails, MCP gateway enforcement and agent governance, which separates it from a single-purpose scanner and also covers the ground the acquirers are assembling.
Its more particular edge is the rated catalog of MCP servers PointGuard builds from its own testing. A rival can ship the same controls, and it would have to run the same testing to publish the same ratings. [s5, s6, s18, s19, s23, s24]
PointGuard's clearest go-to-market signal is the Databricks relationship. SiliconANGLE lists the company among the partner integrations Databricks introduced with Data Intelligence for Cybersecurity, and PointGuard's own announcement carries a quote from a Databricks security executive. PointGuard also names IBM Consulting, Accenture and Deloitte among the partners that serve its customers.
Named references stay in the single digits. Finastra, Texas Mutual Insurance, Bertelsmann and Dunhumby appear in the case-study index alongside unnamed ones, and no outside source reports customer count or revenue.
The company has more recognition to point at than disclosed adoption, so a buyer checking references has the four case studies and little else. It announced a 2025 SC Award for supply-chain security, a place in Gartner's 2025 AI trust, risk and security management market guide, and a July 2026 Gartner report naming Agent Mission Control. [s7, s9, s10, s11, s20]
The team is PointGuard's clearest asset. Founder and CEO Pravin Kothari co-founded ArcSight, which HP acquired, and founded CipherCloud, which Lookout acquired. Lookout's own newsroom records that acquisition and names Kothari CipherCloud's founder and chief executive, and he recounts the CipherCloud build in a CIO Influence interview.
The company says its engineering leaders come from ArcSight, CipherCloud, Symantec and Palo Alto Networks, with hypervisor and runtime kernel experience it ties to the agent containment work. The leadership page lists Warlu Kothapalli as chief technology officer and Dev Mehta as global marketing and alliances director. [s2, s3, s21, s22, s25]
No SOC 2 report or ISO 27001 certificate PointGuard holds appears on the probed surfaces. The compliance language the site carries runs the other way. The product maps customer findings to standards such as ISO 27001, NIST and GDPR, and the privacy policy's only SOC 2 reference covers third-party hosting providers bound by that standard.
A buyer with an attestation requirement would have to request that evidence directly. [s14, s17]
| Company | Relationship | Note | Compare |
|---|---|---|---|
| Protect AI | competes with | Overlapping AI-security scope, and Palo Alto Networks announced completion of its acquisition in July 2025. | N/AWe captured the evidence for these companies under different evidence-model versions (v1 vs v2), so the totals were scored under different conditions and are not directly comparable. |
| Robust Intelligence | competes with | Overlapping AI-security scope, and Cisco records the acquisition as completed in October 2024. | N/AWe scored these companies at different scopes, so the totals measure different things. |
Add analyzed competitors to compare them side by side with PointGuard AI.
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
PointGuard sells a software platform its customers configure and use, and discovery, posture management, red teaming and runtime guardrails are features a funded rival can also ship. Palo Alto Networks and Cisco each bought a vendor securing AI applications and models, so comparable coverage can reach a buyer inside a broader platform. What the record shows PointGuard retains beyond those features is a catalog of MCP servers it has tested and rated, built from its own security testing. The catalog grows with the protocol, which makes it a head start rather than a settled lead. Deeper stickiness would come from customers routing production agent traffic through the control plane, and the cited record does not show that yet.
| 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 | PointGuard delivers a software platform the customer configures and uses, offered as SaaS, as a hybrid data plane, or fully on premises. Automated scoring, red teaming and guardrail enforcement are that software's output, and the cited record shows no service layer that takes on the customer's outcomes. |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 | Wiring the platform into MLOps pipelines, agentic frameworks and the tools agents call, then building policy around it, creates meaningful friction to replace. The gateway is a documented mechanism sitting between agents and the tools they call, and the cited record does not size the migration and describes instrumentation as a package install needing no change to agent logic. |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 | No SOC 2 report or ISO 27001 certificate PointGuard holds appears on the surfaces the sources record, and the compliance language on its pages describes mapping customer findings to ISO 27001, NIST, GDPR and ISO 42001. That is a product capability rather than an authorization standing between a buyer and a replacement. |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 | Evaluating every agent action before it executes at sub-millisecond latency, then containing a misbehaving agent inside an isolated execution boundary with sandboxing, ring isolation or circuit breakers, is real-time systems work. The company ties that design to engineering leaders with hypervisor and runtime kernel backgrounds. |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 3/3 | The case-study index names Finastra, Texas Mutual Insurance, Bertelsmann and Dunhumby as customers, and it carries entries for a national defense agency and a regional government agency. Government and defense buyers of the platform put it in the regulated-enterprise and government class the rung describes. |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 | The gateway and the agent control plane sit in the path of agent actions, and framework hooks put PointGuard inside LangChain, CrewAI and OpenAI SDK workflows. Discovery, posture management and red teaming still run out of band, and the record shows no application whose operation depends on PointGuard staying installed. |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 2/3 | PointGuard names a Trusted MCP Knowledge Base it says it built through large-scale security testing, carrying trust ratings for thousands of MCP servers. The record identifies a retained artifact, says what it accumulates from, attributes it to the vendor rather than to any tenant, and does not show it published. That is the accumulated-but-replicable rung rather than the top one. |
PointGuard sells to enterprise security teams that have to secure AI faster than they can govern it. Its case-study index names Finastra, Texas Mutual Insurance, Bertelsmann and Dunhumby as customers, and it also carries an unnamed national defense agency and a regional government agency.
Gartner places the company in its AI trust, risk and security management category, which tells a buyer where the platform fits even though the category is young. The company says it serves enterprise customers across North America, EMEA and APAC, and the platform's stated reach covers every AI project, model, dataset, agent and MCP server in an enterprise.
PointGuard's pitch is breadth under one roof. The platform discovers AI models, agents and MCP servers, hardens their configuration, tests them with adaptive red teaming, and enforces runtime guardrails from one control surface across MLOps, agentic frameworks, cloud and runtime.
The runtime control layer is where the specifics get concrete. Agent Mission Control issues each agent a cryptographic identity, evaluates every action before execution, and contains a misbehaving agent through sandboxing, circuit breakers or a kill switch, instrumented through framework hooks the company says need no change to agent logic.
The one asset that is not a feature is the rated catalog. PointGuard says it has tested thousands of MCP servers and assigns each a trust rating, an artifact that accumulates from the company's own testing rather than shipping with the code.
The clearest documented motion is partnership integration. SiliconANGLE lists PointGuard among the partner integrations in Databricks' Data Intelligence for Cybersecurity launch, and the company was a launch partner for the second edition of the Databricks AI Security Framework. PointGuard also names IBM Consulting, Accenture and Deloitte among the partners that serve its customers, and the cited record puts no size on what any of those partnerships delivers.
Analyst recognition fills out the documented motion. The company appears in Gartner's AI trust, risk and security management market guide and announced a 2025 SC Award for supply-chain security. Named customer references stay in the single digits, so the recognition runs ahead of disclosed adoption.
PointGuard publishes no pricing on the pages the sources record. Those pages route a prospect to a demo request instead, which usually signals negotiated enterprise deals rather than self-service or list pricing.
Hidden pricing fits the enterprise security buyer PointGuard targets, and it also means a prospect cannot gauge cost without engaging sales. The cited record carries no unit of pricing, so there is nothing in it to show what the company believes a buyer pays for.
PointGuard is delivered as a software platform the customer configures and uses. The company offers it as SaaS, as a hybrid data plane, or fully on premises, and the cited record does not allocate operational responsibility across those modes. It integrates with a customer's AI, MLOps and agent environments, connecting to platforms such as Databricks to discover and harden AI assets in place.
The platform is built for runtime enforcement, sitting between agents and the tools they call so it can apply policy as agents act. Instrumentation is a package install with framework hooks rather than a change to agent code.
No SOC 2 report or ISO 27001 certificate PointGuard holds appears on the probed surfaces. The compliance language the site carries runs the other way. The product maps customer findings to standards such as ISO 27001, NIST and GDPR, and the privacy policy's only SOC 2 reference covers third-party hosting providers bound by that standard.
An enterprise buyer with a certification requirement would have to request that evidence directly.
PointGuard's ecosystem position runs through Databricks and the agent tooling stack. It is an integration partner in Databricks' cybersecurity launch and supported the second edition of the Databricks AI Security Framework. PointGuard also names IBM Consulting, Accenture and Deloitte among the partners that serve its customers, and the cited record puts no size on what those partnerships deliver.
On the agent side, the gateway places PointGuard where agents reach tools and data, and framework hooks span LangChain, CrewAI, the OpenAI SDK and others. That is the point agent traffic passes through when a customer routes it there.
The team is PointGuard's strongest asset. Founder and CEO Pravin Kothari co-founded ArcSight, which HP acquired, and founded CipherCloud, which Lookout acquired. Lookout's own newsroom records that acquisition and names Kothari CipherCloud's founder and chief executive, and he recounts the CipherCloud build in a CIO Influence interview.
The company says its engineering leaders come from ArcSight, CipherCloud, Symantec and Palo Alto Networks, with hypervisor and runtime kernel experience it ties to the agent containment work. That background maps to the runtime interception and containment the platform now leads with.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | PointGuard AI: Security Built for Agentic AI | official | 2026-08-28 |
| f2 | About PointGuard AI | official | 2026-08-28 |
| f3 | AI Defense Matrix Catalog mapping | other | 2026-08-21 |
| f4 | SC Media: 2025 SC Awards Finalists, Best Supply Chain Security Solution | press | 2026-07-04 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | PointGuard AI: platform homepage and product overview “SECURITY BUILT FOR AGENTIC AI” | official | 2026-08-28 |
| s2 | About PointGuard AI: company overview, platform history and leadership “Headquartered in San Jose, California, PointGuard has teams across the United States, Canada, the United Kingdom, and India, and serves enterprise customers across North America, EMEA, and APAC.” | official | 2026-08-28 |
| s3 | PointGuard AI leadership team biographies “Prior to CipherCloud, he co-founded ArcSight, a leading security information and event management (SIEM) company, which was acquired by HP for $1.5 billion.” | official | 2026-08-28 |
| s4 | PointGuard AI Agent Mission Control product page “The PointGuard AI Agent Mission Control gives every autonomous agent a verifiable identity, validates every action before it executes, and contains rogue behavior in real time.” | official | 2026-08-28 |
| s5 | PointGuard AI MCP Security Gateway product page “Leverage a continuously updated knowledge base of MCP servers, built by PointGuard through large-scale security testing and risk analysis.” | official | 2026-08-28 |
| s6 | Why PointGuard AI: platform scope and positioning “PointGuard secures the full AI and agent lifecycle — from discovery and supply chain scanning through posture hardening, adaptive red teaming, runtime guardrails, MCP gateway enforcement, and agent governance.” | official | 2026-08-28 |
| s7 | PointGuard AI customer case-study index “Finastra Establishes AI Security & Governance” | official | 2026-08-28 |
| s8 | PointGuard AI announcement: recognition in a Gartner Coolest Vendor Innovations report “PointGuard AI today announced it has been recognized in the Gartner Coolest Vendor Innovations in AI Software Security* report for its Agent Mission Control solution.” | official | 2026-08-28 |
| s9 | PointGuard AI announcement: 2025 SC Award for Best Supply Chain Security Solution “SAN FRANCISCO, CA, April 30, 2025” | official | 2026-08-28 |
| s10 | PointGuard AI announcement: participation in the Databricks Data Intelligence for Cybersecurity launch “Omar Khawaja, VP of Security and Field CISO at Databricks, commented:” | official | 2026-08-28 |
| s11 | PointGuard AI announcement: inclusion in the 2025 Gartner Market Guide for AI TRiSM “its inclusion as a Representative Vendor in the Gartner Market Guide for AI TRiSM (Trust, Risk, and Security Management)” | official | 2026-08-28 |
| s12 | PointGuard AI announcement: Agent Mission Control unveiled, July 2026 “LAS VEGAS, July 30, 2026” | official | 2026-08-28 |
| s13 | PointGuard AI agentic security and MCP protection page “The PointGuard AI MCP Security Gateway provides a centralized control point for agent-to-tool interactions, enforcing zero-trust authorization, policy controls, and real-time visibility across MCP ecosystems, ensuring agents operate securely, predictably, and within defined enterprise boundaries.” | official | 2026-08-28 |
| s14 | PointGuard AI supply-chain page, plus an attestation probe finding none: footer badges, trust./security. subdomains, /security /trust /compliance, 2026-08-28 “It provides detailed audit trails and compliance reports that demonstrate adherence to standards such as ISO 27001, NIST, and GDPR.” | other | 2026-08-28 |
| s15 | PointGuard AI protection for Databricks integration page “PointGuard AI has partnered with Databricks to enhance the security, discoverability, and management of large language models (LLM) and related artifacts within customers' Databricks environment.” | official | 2026-08-28 |
| s16 | PointGuard AI announcement: launch partner for the Databricks AI Security Framework 2.0 “PointGuard AI Named a Featured Launch Partner for the Databricks AI Security Framework” | official | 2026-08-28 |
| s17 | PointGuard AI privacy policy “Service Providers: We may engage third-party partners (e.g., cloud hosting) who are bound by SOC2-standard confidentiality.” | official | 2026-08-28 |
| s18 | Palo Alto Networks press release: completion of the Protect AI acquisition “July 22, 2025” | official | 2026-08-28 |
| s19 | Cisco page: Robust Intelligence is now part of Cisco “The company was acquired by Cisco in October 2024 and has been foundational to the development of Cisco AI Defense and Cisco Foundation AI.” | official | 2026-08-28 |
| s20 | SiliconANGLE: Databricks launches Data Intelligence for Cybersecurity “The partnerships extend the powered of Databricks and help customers drive unified, measurable outcomes in their cybersecurity defense strategies.” | press | 2026-08-28 |
| s21 | CIO Influence: interview with Pravin Kothari, co-founder and CEO of AppSOC “I then founded CipherCloud which was the first mover in the CASB space and was acquired by Lookout.” | press | 2026-08-28 |
| s22 | Lookout newsroom: Lookout acquires CipherCloud “Lookout Acquires CipherCloud To Deliver Security From Endpoint to Cloud” | official | 2026-08-28 |
| s23 | SiliconANGLE: Cisco snaps up AI model and data security startup Robust Intelligence “Cisco snaps up AI model and data security startup Robust Intelligence” | press | 2026-08-28 |
| s24 | CNBC: Palo Alto Networks acquiring Protect AI to boost artificial intelligence tools “Palo Alto Networks acquiring Protect AI to boost artificial intelligence tools” | press | 2026-08-28 |
| s25 | VentureBeat: Lookout acquires CipherCloud to secure enterprises from endpoint to cloud “Lookout acquires CipherCloud to secure enterprises from endpoint to cloud” | press | 2026-08-28 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | PointGuard AI: platform homepage and product overview “SECURITY BUILT FOR AGENTIC AI” | official | 2026-08-28 |
| s2 | About PointGuard AI: company overview, platform history and leadership “Headquartered in San Jose, California, PointGuard has teams across the United States, Canada, the United Kingdom, and India, and serves enterprise customers across North America, EMEA, and APAC.” | official | 2026-08-28 |
| s3 | PointGuard AI leadership team biographies “Prior to CipherCloud, he co-founded ArcSight, a leading security information and event management (SIEM) company, which was acquired by HP for $1.5 billion.” | official | 2026-08-28 |
| s4 | PointGuard AI Agent Mission Control product page “The PointGuard AI Agent Mission Control gives every autonomous agent a verifiable identity, validates every action before it executes, and contains rogue behavior in real time.” | official | 2026-08-28 |
| s5 | PointGuard AI MCP Security Gateway product page “Leverage a continuously updated knowledge base of MCP servers, built by PointGuard through large-scale security testing and risk analysis.” | official | 2026-08-28 |
| s6 | Why PointGuard AI: platform scope and positioning “PointGuard secures the full AI and agent lifecycle — from discovery and supply chain scanning through posture hardening, adaptive red teaming, runtime guardrails, MCP gateway enforcement, and agent governance.” | official | 2026-08-28 |
| s7 | PointGuard AI customer case-study index “Finastra Establishes AI Security & Governance” | official | 2026-08-28 |
| s8 | PointGuard AI announcement: recognition in a Gartner Coolest Vendor Innovations report “PointGuard AI today announced it has been recognized in the Gartner Coolest Vendor Innovations in AI Software Security* report for its Agent Mission Control solution.” | official | 2026-08-28 |
| s9 | PointGuard AI announcement: 2025 SC Award for Best Supply Chain Security Solution “SAN FRANCISCO, CA, April 30, 2025” | official | 2026-08-28 |
| s10 | PointGuard AI announcement: participation in the Databricks Data Intelligence for Cybersecurity launch “Omar Khawaja, VP of Security and Field CISO at Databricks, commented:” | official | 2026-08-28 |
| s11 | PointGuard AI announcement: inclusion in the 2025 Gartner Market Guide for AI TRiSM “its inclusion as a Representative Vendor in the Gartner Market Guide for AI TRiSM (Trust, Risk, and Security Management)” | official | 2026-08-28 |
| s12 | PointGuard AI announcement: Agent Mission Control unveiled, July 2026 “LAS VEGAS, July 30, 2026” | official | 2026-08-28 |
| s13 | PointGuard AI agentic security and MCP protection page “The PointGuard AI MCP Security Gateway provides a centralized control point for agent-to-tool interactions, enforcing zero-trust authorization, policy controls, and real-time visibility across MCP ecosystems, ensuring agents operate securely, predictably, and within defined enterprise boundaries.” | official | 2026-08-28 |
| s14 | PointGuard AI supply-chain page, plus an attestation probe finding none: footer badges, trust./security. subdomains, /security /trust /compliance, 2026-08-28 “It provides detailed audit trails and compliance reports that demonstrate adherence to standards such as ISO 27001, NIST, and GDPR.” | other | 2026-08-28 |
| s15 | PointGuard AI protection for Databricks integration page “PointGuard AI has partnered with Databricks to enhance the security, discoverability, and management of large language models (LLM) and related artifacts within customers' Databricks environment.” | official | 2026-08-28 |
| s16 | PointGuard AI announcement: launch partner for the Databricks AI Security Framework 2.0 “PointGuard AI Named a Featured Launch Partner for the Databricks AI Security Framework” | official | 2026-08-28 |
| s17 | PointGuard AI privacy policy “Service Providers: We may engage third-party partners (e.g., cloud hosting) who are bound by SOC2-standard confidentiality.” | official | 2026-08-28 |
| s18 | Palo Alto Networks press release: completion of the Protect AI acquisition “July 22, 2025” | official | 2026-08-28 |
| s19 | Cisco page: Robust Intelligence is now part of Cisco “The company was acquired by Cisco in October 2024 and has been foundational to the development of Cisco AI Defense and Cisco Foundation AI.” | official | 2026-08-28 |
| s20 | SiliconANGLE: Databricks launches Data Intelligence for Cybersecurity “The partnerships extend the powered of Databricks and help customers drive unified, measurable outcomes in their cybersecurity defense strategies.” | press | 2026-08-28 |
| s21 | CIO Influence: interview with Pravin Kothari, co-founder and CEO of AppSOC “I then founded CipherCloud which was the first mover in the CASB space and was acquired by Lookout.” | press | 2026-08-28 |
| s22 | Lookout newsroom: Lookout acquires CipherCloud “Lookout Acquires CipherCloud To Deliver Security From Endpoint to Cloud” | official | 2026-08-28 |
| s23 | SiliconANGLE: Cisco snaps up AI model and data security startup Robust Intelligence “Cisco snaps up AI model and data security startup Robust Intelligence” | press | 2026-08-28 |
| s24 | CNBC: Palo Alto Networks acquiring Protect AI to boost artificial intelligence tools “Palo Alto Networks acquiring Protect AI to boost artificial intelligence tools” | press | 2026-08-28 |
| s25 | VentureBeat: Lookout acquires CipherCloud to secure enterprises from endpoint to cloud “Lookout acquires CipherCloud to secure enterprises from endpoint to cloud” | press | 2026-08-28 |
This site is an experimental research aid created by Zeltser Security Corp. All its data gathering and analysis was performed autonomously without human review, and it can contain errors of fact, interpretation, and judgment that a human reviewer might catch.
The analyses are statements of opinion, not statements of fact. Machine analysis produced the scores, summaries, and matrix placements by weighing the public sources each page cites, and reasonable people can weigh the same sources differently. Where a page states a fact, it cites the public source and the date it was checked, and the statement is only as accurate as that source. Unless a profile expressly says otherwise, the analysis involves no hands-on testing and no independent validation of any company's products or services.
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