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.
This analysis is scoped to Trend Vision One AI Application Security.
Trend Micro's Trend Vision One AI Application Security scans large-language-model applications for prompt injection before release and filters their inputs and outputs at runtime. Trend Micro aims it at organizations deploying AI applications or working in regulated industries. It is licensed with the rest of the platform, on credits bought for a term and drawn down monthly on usage. The vendor's pages differ on scope. The product page credits the line with nine of the ten risks on the OWASP list, while the mapping table gives that coverage to the whole Trend Vision One platform and names the line in five rows. No adopter and no independent test of either control appears in the reviewed sources, so its case is placement rather than proof.
| Description | Trend Micro's Trend Vision One platform includes AI Application Security, a line that scans LLM applications for vulnerabilities before deployment with an AI Scanner and guards them at runtime with an AI Guard. | [f1] |
|---|---|---|
| Founded | 1988 | [f2] |
| HQ | Tokyo, Japan | [f2] |
| Latest funding | Public (TSE: 4704), IPO 1998 | [f2] |
| Product | What it does |
|---|---|
| Trend Vision One AI Application Security | An AI Scanner that finds vulnerabilities such as prompt injection and data leakage before deployment, plus an AI Guard that filters inputs and outputs at runtime to block malicious prompts. |
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. |
Trend Vision One AI Application Security runs an AI Scanner that finds vulnerabilities in LLM applications before deployment and an AI Guard that provides runtime threat defense in a continuous scan, protect, and validate loop. These capabilities are 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. |
The broader Trend Vision One platform secures networks and endpoints, offering network insight, threat detection, and protection for unmanaged devices, so it defends conventional enterprise assets rather than AI systems. These capabilities are 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 | Trend Micro names its buyer as any organization deploying AI applications or operating in highly regulated industries, and two research findings size the pain: Enterprise Strategy Group put 49% of enterprises citing security and compliance as their biggest obstacle to production AI in January 2025, and the World Economic Forum found 37% assess AI security before rollout. Both reach the record through Trend Micro's own pages, so the quantification is relayed rather than independently confirmed. [s1, s2, s5] |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs and third-party validation. | 3/5 | The product page documents two named controls at different stages, an AI Scanner that simulates attacks before deployment and a guard that screens what an application receives and returns while it runs, integrated through API and SDK, and the vendor publishes a risk-by-risk mapping table. No third-party benchmark, published documentation set, or independent evaluation of either control appears in the reviewed sources, so depth rests on the vendor's own account. [s1, s2, s10] |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 3/5 | The enabler is enterprise AI reaching production: Enterprise Strategy Group reported in January 2025 that 49% of enterprises cite security and compliance as their biggest obstacle to moving AI from development to production, and Trend Micro announced a December 2025 launch at AWS re:Invent for the package carrying this line. That announcement and its two independent write-ups are one kind of signal, from outlets covering an announcement rather than from buyers, so timing reads as a credible enabler with indirect demand. [s1, s7, s8] |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 | Rachel Jin, Trend Micro's Chief Platform and Business Officer, is the one named executive attached to the line, a senior in-domain role. The reviewed sources carry no prior build, exit, publication record, or independent recognition for the line itself, and the Gartner endpoint protection Leader placement an MSSP Alert article reports covers a different product area, so it is company standing rather than evidence for this line. [s5, s11] |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 3/5 | No source names a customer, a design partner, or a marketplace listing for this line itself. A scoped line of a large parent with no named reference of its own sits at this rung by the catalog's standing reading, which is what places it here. The parent's Nvidia collaboration and its Trend Vision One marketplace listing belong to the parent rather than to the line, so they are indirect signals that cannot lift the score and are not what supports it. Reaching the rung above would need the line's own multiple named references. [s1, s8, s15] |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 | For a scoped line this dimension rests on the line's own shipping cadence and output rather than on the parent's funding capacity, so Trend Micro's financial record is not counted here. The reviewed record documents a November 2025 announcement of a planned December launch and a live product page at review, and discloses no revenue, margin or spend for the line itself. Scoring policy 1.6.0 limits the rungs 1 and 2 silence reading to whole-company scope, so visible shipping with unconfirmed line economics is this rung. [s1, s3, s5] |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 3/5 | AI application security is a forming category with a shared vocabulary in the OWASP Top 10 for LLM Applications, and two trade outlets categorized the announced launch as AI security. No analyst placement names this line in the reviewed sources, and the Gartner recognition Trend Micro carries is for endpoint protection, so buyers can name the slot while the line still needs vendor explanation to fill it. [s2, s7, s8, s11] |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 2/5 | A runtime prompt filter already ships in the cloud AI stacks adjacent to the buyer: an Amazon Bedrock Guardrails page describes blocking prompt injections and jailbreaks, and Microsoft's Content Safety page describes prompt shields for direct and indirect injection. A Palo Alto Networks page pairs model scanning with real-time safeguards, so the pre-deployment half is a plausible extension rather than an unreachable one. The reviewed sources evidence no accumulated data behind the line, leaving placement inside a platform as the friction an incumbent would have to overcome. [s1, s16, s17, s19] |
Enterprises putting large-language-model applications into production need to find flaws before those applications ship and to block prompt injection and data leakage once they run. Trend Micro names that pain directly: the product page describes an AI Scanner that simulates real-world attacks to uncover vulnerabilities like data leakage and prompt injection before an AI application goes live.
Two research findings size the problem, and both reach this record through Trend Micro's own pages. The product page cites Enterprise Strategy Group work from January 2025 reporting that 49% of enterprises cite security and compliance as their biggest obstacle to moving AI from development to production. The company's own announcement cites the World Economic Forum for 2025, reporting that 37% of organizations assess AI security before rollout.
The buyer Trend Micro names is any organization deploying AI applications or operating in highly regulated industries. The OWASP Top 10 for LLM Applications is an external taxonomy of those risks, and Trend Micro maps its controls against it, so the risk list is defined outside the vendor even where the measurements of the pain are relayed by it. [s1, s2, s5]
The line splits into two controls that act at different stages. The AI Scanner simulates real-world attacks to uncover vulnerabilities like data leakage and prompt injection before an AI application goes live, and the AI Guard monitors and filters inputs and outputs in real time to block malicious prompts and prevent sensitive data leaks. Trend Micro tells buyers to integrate both through API and SDK.
The vendor's own pages differ on scope. The product page credits AI Application Security with three-layer security covering nine of the ten OWASP LLM risks, while the risk-by-risk mapping table attributes that coverage to Trend Vision One as a whole and names AI Application Security in only part of the table: the rows for prompt injection, data and model poisoning, improper output handling, system prompt leakage, and vector and embedding weaknesses each list it, while others go to components such as Zero Trust Secure Access, AI-SPM, Container Security, and TippingPoint. The reviewed record does not settle which reading a buyer should apply.
No third-party benchmark, published documentation set, or independent evaluation of the scanner or the guard appears in the reviewed sources. A buyer weighing detection quality against a specialist has Trend Micro's own description of the two controls to work from. [s1, s2, s10]
The line sits in the same scan-and-guard category as the model platforms and the AI-security specialists. An Amazon Bedrock Guardrails page describes blocking prompt attacks such as prompt injections and jailbreaks in the cloud AI stack a buyer already runs, and Microsoft's Content Safety page describes prompt shields against direct and indirect injection. Neither page describes pre-deployment scanning. Straiker sells the pairing on its own, red-teaming AI agents before production and blocking prompt injection and data leakage at runtime, and a Palo Alto Networks page pairs scanning of third-party models with real-time safeguards during live AI interactions.
What separates this line is where it sits. It is built on Trend Vision One and reached through the platform's single credit-based license, which positions it for an enterprise already running Trend Micro for conventional security. Whether buyers adopt it that way is not established by the reviewed sources.
The reviewed record supports the line's placement more firmly than its detection quality. The scanning and filtering engineering is reproducible, and the cloud AI stacks a buyer already pays for advertise runtime controls of the same kind, so a specialist or a platform rival can contest the technical ground while the placement argument stands. [s1, s3, s16, s17, s18, s19]
Trend Micro announced the line on 24 November 2025 through its own newswire release and set the launch at AWS re:Invent in early December. A Techzine article and a SiliconANGLE article each wrote the announcement up independently, and the SiliconANGLE piece adds that the package leverages Nvidia BlueField3 technology from the hardware-accelerated layer through model deployment. The product is live on Trend Micro's product page.
Direct demand for the line is unproven. The reviewed sources name no customer of the line, no line-level partnership, and no marketplace entry for the line itself: the AWS Marketplace entry is for the TrendAI Vision One platform, priced on actual usage.
The signals that look like traction belong to Trend Micro rather than to this product. An archived encyclopedia entry recorded 575,000 enterprise customers and 185 countries in the TrendAI unit as of March 2026, and TrendAI announced its own selection into the OpenAI Daybreak Cyber Partner Program in June 2026. The reviewed record connects neither to adoption of this line. [s1, s5, s7, s8, s9, s14, s15]
Trend Micro builds and operates the line rather than an identifiable standalone team. The company's own announcement names Rachel Jin, Chief Platform and Business Officer, as the executive who set out its goal of providing the foundation for AI safety and guardrails, and no other individual is attached to the line in the reviewed sources.
The company behind it is long established. An archived encyclopedia entry records Trend Micro as founded on 24 October 1988 in Los Angeles, and reports that its rebranded TrendAI enterprise unit had 6,000 employees and 14 research and development centers as of March 2026.
That record is the company's rather than the line's. An MSSP Alert article states that Gartner analysts named Trend Micro among the endpoint protection Leaders alongside Palo Alto Networks and Sophos, recognition earned in a different product area, and the reviewed sources carry no prior build, publication record, or independent recognition for the AI Application Security line. [s5, s9, s11]
The compliance record a procurement team would review sits with Trend Micro and with the platform rather than with this line. The company's trust center describes a SOC 2 Type II audit of the internal controls it uses to safeguard customer data, states that its SaaS offerings and data centers are certified under ISO/IEC 27001:2022 and its two extensions, ISO/IEC 27014:2020 and ISO/IEC 27034-1:2011, and records Trend Vision One as a certified PCI DSS service provider. The AI Defense Matrix Catalog lists the same four attestations beside the product entry, and neither record states whether any of them is scoped to this line.
The vendor's own claim for the line is narrower. The product page says it supports compliance with AI laws and aligns with security standards and frameworks, which eases a review without validating either control.
Trend Micro's broader shipping record is part of any review. A Hacker News article states that the company released mitigations for critical flaws in on-premise versions of the Apex One Management Console that it said had been exploited in the wild, both rated 9.4 on CVSS, and the NVD record for CVE-2025-54948 describes a pre-authenticated remote attacker uploading malicious code and executing commands. That history belongs to a different product, and a reviewer weighs how a vendor ships and patches severe flaws across its portfolio. [s1, s4, s10, s12, s13]
| Company | Relationship | Note | Compare |
|---|---|---|---|
| Palo Alto Networks | competes with | Competes for the same decision from a rival security platform, pairing model scanning with real-time safeguards during live AI interactions. | N/AWe scored these companies at different scopes, so the totals measure different things. |
| Amazon Web Services | competes with | Bedrock Guardrails advertises runtime prompt-attack filtering in the cloud AI stack, so a buyer there can reach it without adding this line. | N/AAmazon Web Services 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. |
| Microsoft | competes with | Content Safety offers prompt shields, competing for the same runtime guardrail decision inside the buyer's cloud AI stack. | 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. |
| Straiker | competes with | Sells the same pre-production red teaming and runtime guardrail pairing as a standalone product rather than as a platform module. | N/AWe scored these companies at different scopes, so the totals measure different things. |
Add analyzed competitors to compare them side by side with Trend Micro.
A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.
pivot urgently
The line is durable on its placement and thin on its own proof. It ships as one solution among many inside Trend Vision One, which an enterprise already licensed for the platform enables and draws credits against. The scanning and filtering engineering is reproducible, and the reviewed sources evidence no retained dataset or patent behind it. Amazon Bedrock Guardrails and Microsoft Content Safety both advertise prompt-attack filtering, and Straiker advertises pre-production red-teaming alongside runtime guardrails, so a rival could cover this ground without the platform. The platform is a head start rather than a durable lead. No customer cites the line, and the attestations a procurement team checks belong to Trend Micro and to Trend Vision One.
| 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 | Customers buy, configure, and integrate a software control: a scanner and a runtime guard reached through API and SDK and paid for in platform credits drawn down on usage. The reviewed sources describe no human judgment or accountability layer delivered with it. |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 | The AI Guard filters in real time the inputs and outputs routed through its API and SDK integration, so replacing it means re-integrating the application against a different control. The cited record does not size that exit: it states no duration, no parties, and no complexity, and the credit model lets a customer move unused credits to another solution mid-contract. |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 | The attestations in the reviewed record are Trend Micro's SOC 2 Type II, ISO certification of its SaaS offerings and data centers, and PCI DSS service-provider status held by Trend Vision One, none of them shown to be scoped to this line and all obtainable through ordinary enterprise-market preparation. The vendor's claim for the line is that it supports compliance with AI laws, and the reviewed sources identify no mandate or authorization that would block a replacement. |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 | Simulating attacks against an LLM application before deployment and filtering prompts and outputs in real time across risks including prompt injection, data and model poisoning, and vector and embedding weaknesses is machine-learning and real-time systems work that takes specialized security research to build. |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 2/3 | Trend Micro names its buyer as any organization deploying AI applications or operating in highly regulated industries, which evidences targeting rather than a roster. The reviewed sources name no customer of this line, and the parent installed base belongs to Trend Micro rather than to the line, so the record does not establish the regulated-enterprise buyer class the top rung asks for. |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 | The AI Guard filters in real time the inputs and outputs routed through its API and SDK integration, so it sits inside the flow of the AI feature that calls it. Trend Micro delivers it as one solution among more than thirty on Trend Vision One rather than as infrastructure other applications depend on, which lands it between an application feature and shared infrastructure. |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 1/3 | The reviewed record names no retained asset behind the line. It cites LLM-specific threat feeds backing AI-Powered Attack Prevention without stating what those feeds accumulate from or that Trend Micro retains them, and it names no dataset, content license, or granted patent, so what the record evidences is a technique in use rather than an accumulated artifact. |
Trend Micro aims the line at the enterprise deploying LLM applications at scale, describing it as purpose-built for organizations deploying applications powered by large language models and advanced AI at scale, and naming its buyer as any organization deploying AI applications or operating in highly regulated industries.
The pain is recognized rather than vendor-defined. The product page cites Enterprise Strategy Group work from January 2025 reporting that 49% of enterprises cite security and compliance as their biggest obstacle to moving AI from development to production, and the OWASP Top 10 for LLM Applications gives buyers a shared vocabulary for the risks the line addresses.
Segmentation runs through the platform the line is built on. AI Security is one of more than thirty Trend Vision One solutions a customer can enable under a single credit-based license, so the enterprise that can adopt this line with least friction is one already buying credits for endpoint, cloud, network, or data security. Whether any of those enterprises has adopted it is not something the reviewed sources record.
The line splits into two controls that act at different stages. The AI Scanner simulates real-world attacks to uncover vulnerabilities like data leakage and prompt injection before an AI application goes live, and the AI Guard monitors and filters inputs and outputs in real time to block malicious prompts and prevent sensitive data leaks. Trend Micro frames the pair as a continuous security loop of scan, protect, validate, and improve.
The vendor's own pages differ on scope. The product page credits AI Application Security with three-layer security covering nine of the ten OWASP LLM risks, while the risk-by-risk mapping table attributes that coverage to Trend Vision One as a whole and names AI Application Security in only part of the table: the rows for prompt injection, data and model poisoning, improper output handling, system prompt leakage, and vector and embedding weaknesses each list it, while others go to components such as Zero Trust Secure Access, AI-SPM, Container Security, and TippingPoint. The reviewed record does not settle which reading a buyer should apply.
A SiliconANGLE article states that the package leverages Nvidia BlueField3 technology from the hardware-accelerated layer through model deployment. No third-party benchmark of the scanner or the guard appears in the reviewed sources, so the detection quality behind both controls rests on Trend Micro's description.
Trend Micro announced the line on 24 November 2025 through its own newswire release and set its launch at AWS re:Invent in early December, positioning the package as protection for the AI application stack from model development to runtime. A Techzine article and a SiliconANGLE article each wrote the announcement up independently, while the Help Net Security item reproduces long runs of the release verbatim. The product is live on Trend Micro's product page.
Direct demand for the line is unproven in the reviewed sources. No customer names it, no line-level partnership appears, and the AWS Marketplace entry is for the TrendAI Vision One platform rather than for this line.
The parent supplies a channel rather than evidenced traction. An archived encyclopedia entry recorded 575,000 enterprise customers and 185 countries in the TrendAI unit as of March 2026, and TrendAI announced its own selection into the OpenAI Daybreak Cyber Partner Program in June 2026. The reviewed record connects neither to adoption of this line.
The reviewed sources publish no standalone price for the line. Trend Micro licenses it under TrendAI Flex, a single credit-based license model covering Trend Vision One solutions and capabilities, and lists AI Security among the thirty-plus solutions that license covers.
The mechanics are disclosed even though the price is not. Credits are enabled for a solution, purchased for a set term, and drawn down monthly on actual usage, and unused credits can be moved to another solution during the contract term. The vendor also frames one line-item purchase as enabling all solutions, and the AWS Marketplace entry for the platform prices on actual usage. So consumption of this line is metered, while whether a customer makes a separate purchasing decision for it is not something the cited record settles.
One value claim the vendor does make is cost avoidance. The product page tells buyers they can cut costs by blocking malicious prompts before those prompts incur inference charges.
The line is delivered as two controls inside Trend Vision One. The AI Scanner runs before deployment and the AI Guard filters inputs and outputs in real time at runtime, and the product page tells buyers to integrate security seamlessly via API and SDK, so the Guard monitors and filters the inputs and outputs routed through that integration.
The AI Defense Matrix Catalog records the product's deployment as SaaS, and nothing beyond that label describes the delivery model: no deployment documentation, hosting model, or self-hosting option appears in the reviewed sources, so execution location, operating responsibility, and self-hosting availability stay unestablished. What the record does establish is the commercial path, since the customer enables the solution against a platform license and draws credits against it monthly.
Delivering the controls through the platform concentrates a buyer's AI safety operations on Trend Micro components rather than spreading them across separate tools. For an enterprise already standardized on Trend Vision One that consolidation is the operational draw, and it deepens reliance on one control plane.
Trend Micro grounds the line's trust case in its own attestations and the platform's rather than in any scoped to the line. The company's trust center describes a SOC 2 Type II audit of the internal controls it uses to safeguard customer data, states that its SaaS offerings and data centers are certified under ISO/IEC 27001:2022 and its two extensions, and records certification under ISO/IEC 27017:2015 for its cloud offerings, and records Trend Vision One as a certified PCI DSS service provider. The AI Defense Matrix Catalog lists the same four attestations beside the product entry without stating their scope.
The vendor's claim for the line itself is that it supports compliance with AI laws and aligns with security standards and frameworks. That eases a procurement review without validating what the scanner or the guard actually catches.
Trend Micro's shipping record is part of any review. A Hacker News article states that the company released mitigations for critical flaws in on-premise versions of the Apex One Management Console that it said had been exploited in the wild, both rated 9.4 on CVSS, and the NVD record for CVE-2025-54948 describes a pre-authenticated remote attacker uploading malicious code and executing commands. That history belongs to a different product, and a reviewer weighs how a vendor ships and patches severe flaws across its portfolio.
The open trust gap is verification. The reviewed sources carry no independent benchmark of either control, so a buyer choosing the platform-bundled line over a specialist relies on Trend Micro's account.
The AI Application Security line is a module of Trend Vision One rather than a platform of its own, and that is the defining strategic fact. Its value compounds with platform adoption, because the credit pool that funds endpoint, cloud, network, and data security funds this line too, and a customer can move unused credits to another solution during the contract term.
The platform carries the line into places the line could not reach alone. TrendAI Vision One is listed on AWS Marketplace and priced on actual usage, and a SiliconANGLE article states that the package leverages Nvidia BlueField3 technology from the hardware-accelerated layer through model deployment.
The ecosystem question for a buyer is concentration. Adopting the line deepens reliance on Trend Micro as the control plane for AI safety, and a buyer who prefers to keep that layer separate from its incumbent security platform can weigh standalone guardrail products instead.
Trend Micro builds and operates the line rather than an identifiable standalone team. The company's own announcement names Rachel Jin, Chief Platform and Business Officer, as the executive who set out its goal of providing the foundation for AI safety and guardrails, and no other individual is attached to the line in the reviewed sources.
The company behind it is long established. An archived encyclopedia entry records Trend Micro as founded on 24 October 1988 in Los Angeles, and reports that its rebranded TrendAI enterprise unit had 6,000 employees and 14 research and development centers as of March 2026.
That record is the company's rather than the line's. An MSSP Alert article states that Gartner analysts named Trend Micro among the endpoint protection Leaders alongside Palo Alto Networks and Sophos, recognition earned in a different product area, and the reviewed sources carry no prior build, publication record, or independent recognition for this line.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Trend Micro: Trend Vision One AI Application Security | official | 2026-08-28 |
| f2 | Wikipedia: Trend Micro | press | 2026-08-28 |
| f3 | AI Defense Matrix Catalog: Trend Vision One AI Application Security | official | 2026-08-28 |
| f4 | Trend Micro: The Cybersecurity Enterprise Platform | official | 2026-08-28 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Trend Micro: Trend Vision One AI Application Security product page, AI Scanner and AI Guard “The solution integrates an AI Scanner for proactive vulnerability detection and an AI Guard for real-time threat defense in a continuous Security Loop – scan, protect, validate, and improve.” | official | 2026-08-28 |
| s2 | TrendAI: Stay Ahead of AI Threats, Secure LLM Applications With Trend Vision One, with the OWASP mapping table “Trend Vision One™ tackles 9 of OWASP’s Top 10 LLM vulnerabilities, offering comprehensive protection against prompt injection, data leakage, AI supply chain risks, and other critical flaws.” | official | 2026-08-28 |
| s3 | TrendAI: Flex licensing page for the credit-based TrendAI Vision One license model “Gain flexibility, scalability, and control with a single credit-based license model for TrendAI Vision One™ solutions and capabilities.” | official | 2026-08-28 |
| s4 | Trend Micro Trust Center: Compliance page listing certifications and attestations “As an example of transparency and security, Trend has undergone a SOC 2 Type II audit, which outlines the internal controls we use to safeguard customer data and how well those controls are operating.” | official | 2026-08-28 |
| s5 | PR Newswire: Trend Micro release announcing the Trend Vision One AI Security Package, Nov. 24, 2025 “AI Application Security will accompany a package of new solution capabilities at AWS re:Invent” | press | 2026-08-28 |
| s6 | Help Net Security: Trend Vision One AI Security Package delivers proactive protection for AI environments, Nov. 24, 2025 “Trend Micro will launch the Trend Vision One AI Security Package in December.” | press | 2026-08-28 |
| s7 | Techzine: Trend Micro launches AI Security Package, by Berry Zwets, Nov. 24, 2025 “In December, Trend Micro will introduce the Trend Vision One AI Security Package, which combines proactive exposure management with comprehensive analytics for AI environments.” | press | 2026-08-28 |
| s8 | SiliconANGLE: Trend Micro previews security package for full-stack AI protection, by Duncan Riley, Nov. 24, 2025 “which is set to launch during AWS re:Invent in early December, is designed to protect the full AI application stack from model development to runtime” | press | 2026-08-28 |
| s9 | Trend Micro (Wikipedia): corporate history, the TrendAI rebrand, and enterprise-unit figures “That month, Trend Micro Incorporated rebranded its enterprise cybersecurity business as TrendAI.” | other | 2026-08-28 |
| s10 | AI Defense Matrix Catalog: Trend Vision One AI Application Security entry “AI Scanner finds vulnerabilities in LLM applications before deployment, and AI Guard provides real-time runtime threat defense in a continuous scan, protect, and validate loop.” | official | 2026-08-28 |
| s11 | MSSP Alert: Gartner Magic Quadrant Names Microsoft, SentinelOne Among EPP Leaders, by Jeffrey Burt, Oct. 2, 2024 “In their Magic Quadrant, Gartner analysts also named Palo Alto Networks, Trend Micro, and Sophos as leaders, while tapping Bitdefender, Check Point Software, and Cisco as visionaries in the EPP space.” | press | 2026-08-28 |
| s12 | NVD API: CVE-2025-54948 record for the Trend Micro Apex One on-premise management console “A vulnerability in Trend Micro Apex One (on-premise) management console could allow a pre-authenticated remote attacker to upload malicious code and execute commands on affected installations.” | research | 2026-08-28 |
| s13 | The Hacker News: Trend Micro Confirms Active Exploitation of Critical Apex One Flaws in On-Premise Systems, by Ravie Lakshmanan, Aug. 6, 2025 “Trend Micro has released mitigations to address critical security flaws in on-premise versions of Apex One Management Console that it said have been exploited in the wild.” | press | 2026-08-28 |
| s14 | Trend Micro newsroom: TrendAI Named Trusted Partner in the OpenAI Daybreak Cyber Partner Program, June 22, 2026 “One of the first cybersecurity vendors selected as OpenAI expands Daybreak from internal testing to a curated group of trusted defenders” | press | 2026-08-28 |
| s15 | AWS Marketplace: TrendAI Vision One (PAYG) platform listing “Pricing is based on actual usage, with charges varying according to how much you consume.” | official | 2026-08-28 |
| s16 | Amazon Web Services: Amazon Bedrock Guardrails product page “Also, help protect against prompt attacks such as prompt injections and jailbreaks.” | official | 2026-08-28 |
| s17 | Microsoft Azure: Content Safety in Foundry Control Plane product page “Safeguard your AI applications against prompt injection attacks and jailbreak attempts. Identify and mitigate both direct and indirect threats with prompt shields.” | official | 2026-08-28 |
| s18 | Straiker: product overview for Ascend AI and Defend AI “Runtime security and guardrails that detects and blocks prompt injection, data leakage, and tool manipulation in real time” | official | 2026-08-28 |
| s19 | Palo Alto Networks: Prisma AIRS product page “Enable the safe adoption of third-party AI models by scanning them for vulnerabilities such as model tampering, malicious scripts and deserialization attacks.” | official | 2026-08-28 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Trend Micro: Trend Vision One AI Application Security product page, AI Scanner and AI Guard “The solution integrates an AI Scanner for proactive vulnerability detection and an AI Guard for real-time threat defense in a continuous Security Loop – scan, protect, validate, and improve.” | official | 2026-08-28 |
| s2 | TrendAI: Stay Ahead of AI Threats, Secure LLM Applications With Trend Vision One, with the OWASP mapping table “Trend Vision One™ tackles 9 of OWASP’s Top 10 LLM vulnerabilities, offering comprehensive protection against prompt injection, data leakage, AI supply chain risks, and other critical flaws.” | official | 2026-08-28 |
| s3 | TrendAI: Flex licensing page for the credit-based TrendAI Vision One license model “Gain flexibility, scalability, and control with a single credit-based license model for TrendAI Vision One™ solutions and capabilities.” | official | 2026-08-28 |
| s4 | Trend Micro Trust Center: Compliance page listing certifications and attestations “As an example of transparency and security, Trend has undergone a SOC 2 Type II audit, which outlines the internal controls we use to safeguard customer data and how well those controls are operating.” | official | 2026-08-28 |
| s5 | PR Newswire: Trend Micro release announcing the Trend Vision One AI Security Package, Nov. 24, 2025 “AI Application Security will accompany a package of new solution capabilities at AWS re:Invent” | press | 2026-08-28 |
| s6 | Help Net Security: Trend Vision One AI Security Package delivers proactive protection for AI environments, Nov. 24, 2025 “Trend Micro will launch the Trend Vision One AI Security Package in December.” | press | 2026-08-28 |
| s7 | Techzine: Trend Micro launches AI Security Package, by Berry Zwets, Nov. 24, 2025 “In December, Trend Micro will introduce the Trend Vision One AI Security Package, which combines proactive exposure management with comprehensive analytics for AI environments.” | press | 2026-08-28 |
| s8 | SiliconANGLE: Trend Micro previews security package for full-stack AI protection, by Duncan Riley, Nov. 24, 2025 “which is set to launch during AWS re:Invent in early December, is designed to protect the full AI application stack from model development to runtime” | press | 2026-08-28 |
| s9 | Trend Micro (Wikipedia): corporate history, the TrendAI rebrand, and enterprise-unit figures “That month, Trend Micro Incorporated rebranded its enterprise cybersecurity business as TrendAI.” | other | 2026-08-28 |
| s10 | AI Defense Matrix Catalog: Trend Vision One AI Application Security entry “AI Scanner finds vulnerabilities in LLM applications before deployment, and AI Guard provides real-time runtime threat defense in a continuous scan, protect, and validate loop.” | official | 2026-08-28 |
| s11 | MSSP Alert: Gartner Magic Quadrant Names Microsoft, SentinelOne Among EPP Leaders, by Jeffrey Burt, Oct. 2, 2024 “In their Magic Quadrant, Gartner analysts also named Palo Alto Networks, Trend Micro, and Sophos as leaders, while tapping Bitdefender, Check Point Software, and Cisco as visionaries in the EPP space.” | press | 2026-08-28 |
| s12 | NVD API: CVE-2025-54948 record for the Trend Micro Apex One on-premise management console “A vulnerability in Trend Micro Apex One (on-premise) management console could allow a pre-authenticated remote attacker to upload malicious code and execute commands on affected installations.” | research | 2026-08-28 |
| s13 | The Hacker News: Trend Micro Confirms Active Exploitation of Critical Apex One Flaws in On-Premise Systems, by Ravie Lakshmanan, Aug. 6, 2025 “Trend Micro has released mitigations to address critical security flaws in on-premise versions of Apex One Management Console that it said have been exploited in the wild.” | press | 2026-08-28 |
| s14 | Trend Micro newsroom: TrendAI Named Trusted Partner in the OpenAI Daybreak Cyber Partner Program, June 22, 2026 “One of the first cybersecurity vendors selected as OpenAI expands Daybreak from internal testing to a curated group of trusted defenders” | press | 2026-08-28 |
| s15 | AWS Marketplace: TrendAI Vision One (PAYG) platform listing “Pricing is based on actual usage, with charges varying according to how much you consume.” | official | 2026-08-28 |
| s16 | Amazon Web Services: Amazon Bedrock Guardrails product page “Also, help protect against prompt attacks such as prompt injections and jailbreaks.” | official | 2026-08-28 |
| s17 | Microsoft Azure: Content Safety in Foundry Control Plane product page “Safeguard your AI applications against prompt injection attacks and jailbreak attempts. Identify and mitigate both direct and indirect threats with prompt shields.” | official | 2026-08-28 |
| s18 | Straiker: product overview for Ascend AI and Defend AI “Runtime security and guardrails that detects and blocks prompt injection, data leakage, and tool manipulation in real time” | official | 2026-08-28 |
| s19 | Palo Alto Networks: Prisma AIRS product page “Enable the safe adoption of third-party AI models by scanning them for vulnerabilities such as model tampering, malicious scripts and deserialization attacks.” | official | 2026-08-28 |
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