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.
DeepKeep sells enterprises software that secures their AI applications, agents and models. Its AI Firewall blocks or redacts prompts and responses that break a customer’s rules, and its red teaming simulates attacks on those systems. Founded in 2021, DeepKeep counts a $10 million seed led by Awz Ventures and €2.5 million from the EU’s EIC Accelerator program among its funding. It names six customers, including EY, NTT Data and ST Engineering. Palo Alto Networks and Check Point bought AI security firms Protect AI and Lakera and sell similar protection. Their existing customers could skip DeepKeep for language-model security. DeepKeep also covers computer vision models, can run on networks cut off from the internet and owns a US patent on protecting models from attacks.
| Description | DeepKeep helps organizations secure their AI applications, agents, and models, using an AI firewall, red teaming, and model scanning across language and computer vision systems. | [f1] |
|---|---|---|
| Founded | 2021 | [f2] |
| HQ | Tel Aviv, Israel | [f2] |
| Funding | $19.49M total | [f3] |
| Latest funding | SAFE round (undisclosed amount) from OurCrowd, February 2026 | [f4] |
| Deployment | SaaS, Self-hosted | [f5] |
| Product | What it does |
|---|---|
| DeepKeep | DeepKeep: AI security platform with a runtime AI firewall, automated red teaming, and model scanning for LLM and computer vision systems. |
AI Defense Matrix
| Govern | Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|---|
| AI-Workload Platforms Inference servers, training platforms, vector DB platforms, and the model-loading supply chain. | ||||||
| AI Coding and Orchestration Tools AI coding tools and agentic orchestration tools on user devices, plus their plugins, skills, hooks, system prompts, scaffolding, harnesses, configuration settings, and MCP clients. | ||||||
| AI-Generated Code Code produced by AI tools, AI-assisted reviews, AI-generated infrastructure-as-code and tests, and vibe-coded apps that bypass CI/CD. | ||||||
| AI Traffic Paths to external and self-hosted AI services, MCP tool channels, agent-to-agent calls, model-registry downloads, and egress to unapproved AI services. AI gateways, LLM routers, and MCP gateways steer traffic along those paths. The steering decisions and their inputs belong here too: routing policies, MCP server registries, and agent naming and discovery services. | ||||||
| AI Model Model weights, fine-tuning checkpoints, model cards, registries, an AI bill of materials (AIBOM), and the third-party LLMs your enterprise consumes. | ||||||
| Training Data Datasets used for training, fine-tuning, and continued learning. | ||||||
| Runtime AI Data User prompts, inference inputs, RAG content, vector DB content, persistent agent memory, and interaction history. | ||||||
| AI Agent Identities AI agents as non-human principals, plus credentials, keys, permission scopes, service accounts, and delegation chains across agents and tools. |
DeepKeep is an AI security platform with a runtime AI firewall, automated red teaming, and model scanning for LLM and computer vision systems. It is mapped to the AI Defense Matrix. [f6]
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score | Rationale |
|---|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 | DeepKeep names its buyers, enterprises securing custom AI applications, AI agents and employee AI use, and the threats its products address, from prompt injection and jailbreaks to data leakage. Article 15 of the EU AI Act independently requires high-risk AI systems to resist data poisoning and adversarial examples, with rules for many such systems applying from December 2027. No cited non-vendor source quantifies the pain for DeepKeep’s buyers. [s1, s2, s3, s36, s37] |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs and third-party validation. | 3/5 | DeepKeep’s own pages document inline and out-of-band firewall modes, static and dynamic model scanning with SBOM and MLBOM inventories, and scheduled or human-steered red teaming. TrueFoundry documents a working gateway integration with DeepKeep’s moderation API and Intellyx describes the modules. The product documentation portal requires a password. No third-party evaluation of detection quality appears in the reviewed sources. [s2, s7, s8, s38, s22, s27] |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 4/5 | In March 2026, Intellyx described analyst segments for AI security, including runtime enforcement and red teaming. The EU AI Omnibus took effect on 27 July 2026. AI Act rules for high-risk systems in areas such as biometrics apply from 2 December 2027. Article 15 requires those systems to resist adversarial attacks. Ohayon cited MITRE ATLAS’s 2021 release as an external sign of expected growth in AI security. [s22, s37, s36, s15] |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 4/5 | Founder and CEO Rony Ohayon says he founded LiveU, serving as CTO until its acquisition, and founded DriveU, and he is a named inventor on DeepKeep’s granted US patent. DeepKeep researchers publish adversarial machine learning papers at TMLR and at ICLR and ICCV workshops, and an arXiv preprint independently lists DeepKeep affiliations. His earlier companies worked in video and vehicle connectivity, so the in-domain record is the team’s publications. [s16, s19, s6, s34, s5] |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 3/5 | DeepKeep names NTT Data, ST Engineering, Macnica, Consist, EY and CTC as customers under a Trusted By heading, and AWS Marketplace lists its automated red-teaming product with a 12-month contract price. SecurityWeek relays the company’s statement that global enterprises use it. No customer testimony or third-party figure for customer count or revenue appears in the reviewed sources, so no independent source supports a scale figure. [s1, s32, s23, s13] |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 | DeepKeep announced a $10 million seed led by Awz Ventures in May 2024. It reported a €2.5 million EIC blended-finance award through the October 2024 cut-off. These amounts are broadly proportional to a seed-stage enterprise motion. It has shipped visibly since, adding an agent scanner, cloud marketplace listings and a TrueFoundry integration in 2026. DeepKeep discloses no revenue or growth figure that would confirm output per dollar. [s13, s9, s31, s23, s11] |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 3/5 | Intellyx, which says none of the vendors it names is a client, places DeepKeep as a full-lifecycle AI security platform spanning runtime protection, shadow AI and agentic security (s22). The other analyst placements, a MarketsandMarkets description and Omdia recognition, appear on DeepKeep’s own homepage and press release (s1, s24). DeepKeep fits a recognizable AI security category, but placement beyond one independent analyst still rests on the company’s own framing. [s22, s1, s24] |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 | Palo Alto Networks already sells model scanning, AI red teaming and runtime protection in Prisma AIRS after buying Protect AI, the capability types behind much of DeepKeep’s language-model coverage. DeepKeep adds friction to absorption through coverage of image and video models, on-premises and air-gapped deployment, and a granted patent on model hardening. No reviewed source describes any of them as a moat that bundling could not replicate. [s17, s1, s2, s19] |
DeepKeep treats the AI applications, agents and models an enterprise runs as assets under attack, and sells security across their lifecycle. Its homepage describes an AI security suite for custom apps, AI agents and users that works across any model. The LLM page lists prompt injection, adversarial manipulation, semantic attacks, data leakage and hallucination among the risks it addresses.
Regulation now describes the same problem in law. Article 15 of the EU AI Act requires high-risk AI systems to resist attempts to exploit their vulnerabilities, including data poisoning and adversarial examples. The European Commission states that rules for high-risk systems in areas such as biometrics and critical infrastructure apply from 2 December 2027.
DeepKeep frames the buyer’s pain across language and vision models together. Its vision page covers object detection and facial recognition models, and its homepage says text, images and video are understood as one signal. Founder Rony Ohayon told Unite.AI that DeepKeep launched in 2021 to address risks in computer vision models, before the rise of large language models. [s1, s3, s36, s37, s4, s15]
DeepKeep sells a platform of five capabilities under one policy engine. The AI Firewall inspects every AI interaction and blocks, redacts or alerts on violations, AI Red Teaming tests applications, models and agents, and Model Scanning combines static analysis with dynamic testing. The homepage adds AI Lens for employee and developer AI use and an AI Agent Scanner that maps the tools and actions an agentic workflow can reach.
The firewall runs inline or out of band. Inline, it sits between users, applications and AI models to block in real time, while the out-of-band mode analyzes interactions asynchronously without touching traffic flow. Red teaming runs as scheduled CI/CD playbooks or as a human-steered mode in which the customer’s team directs attacks in natural language, and its findings can update firewall enforcement.
DeepKeep offers deployment options that keep data in-house. DeepKeep states the firewall runs as SaaS, in a private cloud, on premises or fully air-gapped, and Intellyx reports a proxy configuration and an API configuration. DeepKeep’s scanning and red-teaming pages say both work on language and computer vision models, and its research page lists work on audio model attacks too. [s1, s2, s7, s8, s22, s6]
Large security vendors now sell the capability types DeepKeep sells. Palo Alto Networks completed its acquisition of Protect AI in July 2025 and combined model scanning, AI red teaming and runtime protection in Prisma AIRS. Check Point completed its acquisition of Lakera, whose detection, red teaming and guardrails it now sells in a unified platform. An enterprise that already buys from either vendor can source those capability types from an existing supplier.
DeepKeep positions itself on breadth across model types and deployment settings. Its pages describe firewall, scanning and red teaming for language and computer vision models, with deployment on premises or air-gapped. Intellyx describes it as a comprehensive, full-lifecycle AI security platform whose modules customers can also buy individually.
DeepKeep also sells through cloud marketplaces and partner integrations. It announced listings on Google Cloud Marketplace and AWS Marketplace in February 2026 and became a Google Cloud Partner. TrueFoundry documents a DeepKeep firewall integration for its AI gateway, which lets a TrueFoundry customer apply DeepKeep policies to traffic already routed through that gateway. [s17, s18, s2, s4, s7, s8, s22, s23, s38]
DeepKeep names six customers on its homepage. Under a Trusted By heading it lists NTT Data, ST Engineering, Macnica, Consist, EY and CTC. SecurityWeek’s 2024 funding report relays the company’s statement that global enterprises in AI computing, finance and security already use its platform.
DeepKeep has added cloud marketplace and partner channels. It announced availability on Google Cloud Marketplace and AWS Marketplace in February 2026, and AWS lists DeepKeep Automated AI Red Teaming as a software-as-a-service product. The listing prices a 12-month license with a pre-set number of red-teaming executions at $1,000,000, and AWS states that vendors are responsible for their listing content.
DeepKeep’s own announcements add product launches and analyst recognition. It released an AI Agent Scanner, free to enterprises, in March 2026 and announced a TrueFoundry gateway integration in August 2026. A DeepKeep press release says Omdia recognized it as an AI security innovator in an On the Radar report. [s1, s13, s23, s32, s31, s11, s24]
Founder and CEO Rony Ohayon brings a record of earlier company builds. He told Pulse 2.0 that he founded LiveU, serving as its CTO until its acquisition, and founded DriveU, and that he holds more than 30 registered patents. He is a named inventor on US patent 12,450,363, which Google Patents records as assigned to DeepKeep.
DeepKeep’s research staff publish steadily on adversarial machine learning. The research page lists papers at TMLR, at ICLR and ICCV workshops and at ECML-PKDD, covering jailbreaks, adversarial detection and attacks on object detectors. Ohayon co-authored a 2024 TMLR paper on detecting adversarial attacks against deepfake detectors, and an arXiv preprint lists DeepKeep affiliations for two authors of another paper.
The management team is publicly identifiable. The About page names Ohayon, CTO Yossi Altevet, whom a DeepKeep release calls a co-founder, and vice presidents for product, marketing, Americas sales and research and development. [s16, s19, s6, s34, s5, s31]
DeepKeep’s homepage publishes SOC 2, ISO 27001, ISO 9001 and GDPR badges. No inspectable trust portal or downloadable audit report appears in the reviewed sources, so a procurement team would request the underlying reports directly.
Deployment options answer data-residency questions a security review raises. DeepKeep says the firewall runs on premises and in air-gapped environments so organizations control where data is processed, and Ohayon told Unite.AI that full deployment flexibility was a deliberate early decision. [s35, s1, s2, s15]
| Company | Relationship | Note | Compare |
|---|---|---|---|
| TrojAI | competes with | Competes for the enterprise AI security budget that covers red teaming and runtime protection, the same budget DeepKeep sells into. | 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. |
| HiddenLayer | competes with | Competes for the model and application security budget DeepKeep also targets. | |
| Adversa AI | competes with | Competes for the AI red-teaming engagements DeepKeep sells through its automated and human-steered red teaming. | |
| Mindgard | competes with | Competes for AI red-teaming and model testing budgets that DeepKeep also addresses. | |
| Lakera | competes with | Competes for the runtime guardrail and red-teaming budgets DeepKeep’s firewall and red teaming address. | |
| OpenAI | adjacent | Adjacent as a model provider whose agent framework DeepKeep’s AI Agent Scanner lists among those it supports. | N/AWe scored these companies at different scopes, so the totals measure different things. |
Add analyzed competitors to compare them side by side with DeepKeep.
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
DeepKeep owns a US patent, granted in October 2025, on hardening machine learning engines against attacks. Its researchers publish adversarial machine learning work across language, vision and audio models. Palo Alto Networks sells model scanning, red teaming and runtime protection after buying Protect AI. Check Point sells red teaming and guardrails after buying Lakera, so DeepKeep competes with suites that bundle the capability types it sells.
| 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 license software modules and run them, and the AWS listing sells red teaming as a pre-set number of automated executions, so the customer’s team operates the product and owns the outcomes. |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 | A customer that runs the firewall inline on its AI traffic or wires red teaming into CI/CD schedules builds integration and workflow friction. TrueFoundry customers connect DeepKeep’s firewall as a custom guardrail that they would need to reconfigure when replacing DeepKeep. No data residency lock, network effect or non-portable state appears in the reviewed sources. The reviewed sources include no estimate of migration effort. |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 | DeepKeep’s homepage publishes SOC 2, ISO 27001, ISO 9001 and GDPR badges. A funded rival can meet these requirements through ordinary enterprise preparation. No product-carried authorization or regulator-mediated approval appears in the reviewed sources. |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 | Detecting adversarial inputs, scanning model files statically and dynamically, and running adaptive attacks against language and vision models is applied machine learning work. DeepKeep’s researchers publish on adversarial attacks and detection at TMLR and at ICLR and ICCV workshops. |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 3/3 | DeepKeep’s chief executive says the platform is deployed by global enterprises in finance, security and AI computing, and that it stopped data leakage and toxic responses at a large financial institution (s16). SecurityWeek’s launch coverage relays the same sector list (s13). Regulated financial buyers of the product meet the rung, though the evidence is the company’s own account, the institution is unnamed, and the chief executive calls those engagements trials. |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 | DeepKeep sells a platform of security modules with application features. The firewall runs inline or out of band on a customer’s AI traffic, and the scanners and red teaming run over the customer’s models and applications as tools the customer’s team invokes. |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 2/3 | DeepKeep holds US patent 12,450,363, granted on 21 October 2025 and assigned to DeepKeep Ltd, on hardening machine learning engines against attacks, and lists it on its About page. That granted patent is evidenced IP. No named non-public dataset or cross-customer telemetry asset appears in the reviewed sources. |
DeepKeep sells to enterprises securing three kinds of AI use. Its homepage describes a suite for custom-built AI applications, AI agents and employees’ use of AI, built to work across any model. Its Trusted By list names customers including NTT Data, EY and ST Engineering.
DeepKeep separates a language-model line from a vision line. DeepKeep for LLM covers attacks such as prompt injection and data leakage, while DeepKeep for Vision covers object detection and facial recognition models, with manufacturing inspection as a worked example. Founder Rony Ohayon told Pulse 2.0 that DeepKeep started out securing computer vision models and now covers language and multimodal models as well.
European regulation will require many high-risk AI systems to resist the attacks DeepKeep tests for. Article 15 of the EU AI Act names data poisoning, model poisoning and adversarial examples among the attacks those systems must withstand. The European Commission states that rules for high-risk systems in areas such as biometrics and critical infrastructure apply from 2 December 2027. DeepKeep names the EU AI Act on its homepage among the rules that demand evidence from AI teams.
DeepKeep covers build-time testing and runtime enforcement in one platform. Model Scanning combines multi-engine static analysis with dynamic testing. It also builds inventories of software and machine-learning model components and dependencies. AI Red Teaming runs scheduled playbooks or a human-steered mode, and the AI Firewall blocks, redacts or alerts on each interaction. DeepKeep says red-teaming findings can feed firewall enforcement and AI Lens usage policies.
DeepKeep’s researchers publish sustained work on adversarial machine learning across model types. The research page lists papers on jailbreaking language models, detecting adversarial inputs, attacking object detectors and attacking audio models, at venues including TMLR and ICLR and ICCV workshops. Ohayon co-authored a 2024 TMLR paper on detecting adversarial attacks against deepfake detectors.
DeepKeep holds a granted US patent on protecting machine learning engines. Google Patents records US12450363B2, granted on 21 October 2025 and assigned to DeepKeep Ltd, describing an offline unit that hardens a protected engine against attacks. No named non-public dataset or third-party benchmark of detection accuracy appears in the reviewed sources, so the patent is the owned asset in the reviewed sources.
DeepKeep names six customers on its homepage. Its Trusted By list shows NTT Data, ST Engineering, Macnica, Consist, EY and CTC. SecurityWeek’s 2024 funding report relays the company’s statement that global enterprises in AI computing, finance and security use the platform.
DeepKeep sells directly and through cloud marketplaces. It announced listings on Google Cloud Marketplace and AWS Marketplace in February 2026 and became a Google Cloud Partner. AWS lists DeepKeep Automated AI Red Teaming as a software-as-a-service product sold by DeepKeep.
DeepKeep’s recent announcements cover product launches and partner integrations. DeepKeep released an AI Agent Scanner, free to enterprises, in March 2026, and announced a TrueFoundry AI Gateway integration in August 2026. A DeepKeep press release says Omdia recognized it as an AI security innovator in an On the Radar report.
DeepKeep lists a price for red teaming on AWS Marketplace. AWS shows a 12-month license that includes a pre-set number of AI red-teaming executions at $1,000,000. AWS states that pricing follows the duration and terms of the buyer’s contract with the vendor.
DeepKeep sells the platform as a whole or in parts. Intellyx reports that the company sells individual modules to companies that need only part of the solution, and DeepKeep’s own pages route buyers to a demo. No list price for the firewall, model scanning or AI Lens appears in the reviewed sources.
DeepKeep meters that red-teaming license in automated red-teaming executions. A buyer sizing a purchase would estimate how many executions its testing needs over the contract year.
DeepKeep delivers software that the customer’s team operates. The firewall runs inline between applications and AI models or out of band through an orchestrator, and Intellyx reports a proxy configuration and an API configuration. Red teaming runs on CI/CD schedules or in sessions the customer’s team steers in natural language.
Deployment options cover cloud, private and isolated environments. DeepKeep says the firewall runs as SaaS, in a private cloud, on premises or fully air-gapped, and Ohayon told Unite.AI that full deployment flexibility was a deliberate early decision. The AWS red-teaming listing is a software-as-a-service product.
Partners can route existing AI traffic through DeepKeep. TrueFoundry documents deploying a small wrapper service that its AI gateway calls as a custom guardrail, translating gateway requests into DeepKeep’s moderation API. The product documentation portal at docs.deepkeep.ai requires a password, so technical evaluators need access from DeepKeep to read it.
DeepKeep’s homepage publishes SOC 2, ISO 27001, ISO 9001 and GDPR badges. No inspectable trust portal or downloadable audit report appears in the reviewed sources, so a procurement team would request the underlying reports from DeepKeep.
DeepKeep addresses data-handling concerns through deployment choice. DeepKeep says on-premises and air-gapped deployment lets organizations control where data is processed and stored. Its red-teaming page says the product helps customers align with GDPR, ISO 27001, OWASP guidance for LLMs and MITRE ATLAS.
Large security vendors have bought companies that sell DeepKeep’s capability types. Palo Alto Networks completed its acquisition of Protect AI in July 2025 and combined model scanning, AI red teaming and runtime protection in Prisma AIRS. Check Point completed its acquisition of Lakera and sells its detection, red teaming and guardrails in a unified platform. An enterprise that already buys from either vendor can source those capability types from an existing supplier.
DeepKeep builds its ecosystem through cloud and gateway partners. It announced Google Cloud Marketplace and AWS Marketplace listings in February 2026 and became a Google Cloud Partner. TrueFoundry documents a DeepKeep firewall integration for its AI gateway, and the AI Agent Scanner supports frameworks including Microsoft-based frameworks, Agentforce, OpenAI Agents, CrewAI and n8n.
DeepKeep sells coverage for agents and employee AI use alongside models. The homepage lists AI Lens for employee and developer AI use and an AI Agent Scanner that maps the tools and actions an agentic workflow can reach, next to the firewall, red teaming and model scanning.
Founder and CEO Rony Ohayon brings earlier company builds and a patent record. He told Pulse 2.0 that he founded LiveU, serving as CTO until its acquisition, founded DriveU and holds more than 30 registered patents. He is a named inventor on DeepKeep’s granted US patent.
DeepKeep’s researchers publish steadily. The research page lists papers from 2022 through 2026 on adversarial attacks and defenses, and an arXiv preprint lists DeepKeep affiliations for two of its authors. DeepKeep’s research staff therefore carry a public publication record in AI security.
The management team is publicly identifiable. The About page names Ohayon, CTO Yossi Altevet, whom a DeepKeep release calls a co-founder, and vice presidents for product, marketing, Americas sales and research and development.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | DeepKeep: AI Security Platform for Applications, Agents and Models | official | 2026-09-23 |
| f2 | SecurityWeek on DeepKeep seed funding | press | 2026-09-23 |
| f3 | Exa company research aggregate funding for DeepKeep Ltd. | other | 2026-06-13 |
| f4 | Startup Nation Finder DeepKeep company page | other | 2026-06-21 |
| f5 | AI Defense Matrix Catalog entry | other | 2026-06-10 |
| f6 | AI Defense Matrix Catalog mapping | other | 2026-09-23 |
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