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 standalone runtime AI security in a category that platform vendors moved to consolidate through 2025. Palo Alto completed its acquisition of Protect AI and Check Point completed its acquisition of Lakera, so an enterprise could source an LLM firewall and red teaming from suites it already buys. DeepKeep also defends computer-vision and multimodal models, work backed by adversarial-vision research including a paper founder Rony Ohayon co-authored, and a EUR 2.5 million European Innovation Council grant. That vision coverage is a distinctive part of its pitch. DeepKeep's own pages show a Trusted By logo wall and no attributed customer reference. DeepKeep fits an enterprise securing vision or multimodal AI. Elsewhere it competes with vendors the buyer already pays.
| 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 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. |
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 |
|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs, demos, and third-party validation. | 3/5 |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 4/5 |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 4/5 |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 3/5 |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 4/5 |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 |
Unlock the Full Analysis
The reasoning for the scores, the strategy deep dive, the business risks, and more. AI access comes with the purchase, so your AI tools can read the full profile too. You keep 12 months of access.
One-time purchase: $20 per profile.
UnlockReading several? Unlock the entire catalog.
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
| Dimension | Score |
|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 1/3 |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 2/3 |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 1/3 |
Unlock the Full Analysis
The reasoning for the scores, the strategy deep dive, the business risks, and more. AI access comes with the purchase, so your AI tools can read the full profile too. You keep 12 months of access.
One-time purchase: $20 per profile.
UnlockReading several? Unlock the entire catalog.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | DeepKeep: AI Security Platform for Applications, Agents and Models | official | 2026-07-09 |
| f2 | SecurityWeek on DeepKeep seed funding | press | 2026-06-13 |
| 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 | 2026-06-23 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | DeepKeep homepage “Trusted By (logo wall, image alt text): EY logo, NTT Data logo, Macnica logo, ST Engineering logo, CTC logo, Consist logo. SOC 2 badge, ISO 27001 badge, ISO 9001 badge, GDPR badge” | official | 2026-06-16 |
| s2 | DeepKeep for LLM product page “Protects against LLM attacks, including prompt injection, adversarial manipulation and semantic attacks” | official | 2026-06-13 |
| s3 | DeepKeep for Vision product page | official | 2026-06-13 |
| s4 | DeepKeep about page with management team “Rony Ohayon CEO & Founder ... Yossi Altevet Chief Technology Officer ... Gad Sosa VP of Research & Development” | official | 2026-06-13 |
| s5 | DeepKeep research page with academic publications “XAI-Based Detection of Adversarial Attacks on Deepfake Detectors ... Ben Pinhasov, Raz Lapid, Rony Ohayon, Moshe Sipper, Yehudit Aperstein ... TMLR 2024 ... Computer Vision” | official | 2026-06-13 |
| s6 | SecurityWeek on DeepKeep $10M seed funding “DeepKeep, an Israeli startup providing AI-native security ... raised $10 million in a seed funding round led by VC Awz Ventures. Founded in 2021, the Tel Aviv-based company” | press | 2026-06-13 |
| s7 | SecurityInfoWatch on DeepKeep seed and Awz X-Seed Hub “as part of the first cohort of the Awz X-Seed Hub ... established in a joint venture with MAFAT, a leading Israeli Ministry of Defense's Directorate of Defense R&D” | press | 2026-06-13 |
| s8 | Unite.AI interview with DeepKeep founder Rony Ohayon “frameworks like MITRE's ATLAS - first released in 2021 - started to appear, which was an important external signal that the field of AI security and adversarial threat modeling was about to grow” | press | 2026-06-13 |
| s9 | DeepKeep EIC Accelerator award blog “DeepKeep has been awarded EUR 2.5M in blended finance through the EIC Accelerator's October 2024 cut-off. The co-funded project: Multimodal Models with AI-Native Security and Trustworthiness” | official | 2026-06-13 |
| s10 | DeepKeep Vibe AI Red Teaming launch blog | official | 2026-06-13 |
| s11 | DeepKeep AI firewall capability page “AI Firewall & Guardrails, AI Runtime Protection” | official | 2026-06-13 |
| s12 | DeepKeep stealth-exit launch blog | official | 2026-06-13 |
| s13 | Palo Alto Networks intent to acquire Protect AI (April 2025) “today announced that it has entered into a definitive agreement to acquire Protect AI, an innovative leader in securing the use of Artificial Intelligence (AI) and Machine Learning (ML) applications and models” | press | 2026-06-13 |
| s14 | SecurityWeek on Check Point acquiring Lakera (September 2025) “Check Point Software Technologies today announced plans to acquire Lakera, a Zurich and San Francisco-based company specializing in security for Agentic AI applications” | press | 2026-06-13 |
| s15 | Pulse 2.0: interview with DeepKeep founder Rony Ohayon “I have a Ph.D. in Communication Systems Engineering, an MBA, and more than 30 registered patents in my name. Before DeepKeep, I was the CEO and Founder of DriveU ... Additionally, I founded LiveU” | press | 2026-06-16 |
| s16 | Palo Alto Networks: completes acquisition of Protect AI (July 2025) “today announced it has completed its acquisition of Protect AI ... The integration of Protect AI's forward-thinking technology and its team of experts will be a cornerstone of Palo Alto Networks' Prisma AIRS” | press | 2026-06-16 |
| s17 | CSO Online: Check Point acquires Lakera into its Infinity platform “The acquisition brings runtime protection, continuous red teaming, and multilingual defenses into Check Point's Infinity platform” | press | 2026-06-16 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | DeepKeep homepage: AI Security Platform for Applications, Agents and Models “Trusted By logo wall, rendered image filenames: ey-logo.svg, ntt-data-logo.svg, macnica-logo.svg, sumitomo.svg, toshiba.svg, st-engineering-logo.svg, consist-logo.svg, ctc-logo.svg. Footer compliance badge filenames: ISO 27001.svg, soc2.svg, gdpr-compliance.svg.” | official | 2026-06-17 |
| s2 | DeepKeep AI Firewall and Guardrails, AI Runtime Protection “The AI Firewall inspects every interaction as it happens. If something violates your standards, we block or redact it before it causes harm. Otherwise, we alert you.” | official | 2026-06-17 |
| s3 | DeepKeep for LLM product page “Protects against LLM attacks, including prompt injection, adversarial manipulation and semantic attacks” | official | 2026-06-17 |
| s4 | DeepKeep About page with management team “DeepKeep for LLM. Secure language models end-to-end. DeepKeep for Vision. Protect computer vision pipelines.” | official | 2026-06-17 |
| s5 | SecurityWeek on DeepKeep seed funding and TRiSM platform “raised $10 million in a seed funding round led by VC Awz Ventures. Founded in 2021, the Tel Aviv-based company. Already used by global enterprises in the AI computing, finance, and security industries, the TRiSM platform covers risk assessments, detection, mitigation, and prevention.” | press | 2026-06-17 |
| s6 | Unite.AI interview with DeepKeep founder Rony Ohayon “We enable model scanning across all model types, but also protect against the most urgent threats such as adversarial attacks, data leakage, system misuse, and trust erosion by red-teaming the models and applying guardrails. The real risks emerge within the full application ecosystem.” | press | 2026-06-17 |
| s7 | Pulse 2.0 interview with DeepKeep founder Rony Ohayon “I have a Ph.D. in Communication Systems Engineering, an MBA, and more than 30 registered patents in my name. Before DeepKeep, I was the CEO and Founder of DriveU. Additionally, I founded LiveU. DeepKeep's expertise spans several AI model types, covering both computer vision and LLMs.” | press | 2026-06-17 |
| s8 | DeepKeep EIC Accelerator award blog “The European Innovation Council doesn't fund trends. DeepKeep has been awarded EUR 2.5M in blended finance through the EIC Accelerator's October 2024 cut-off. The co-funded project: Multimodal Models with AI-Native Security and Trustworthiness” | official | 2026-06-17 |
| s9 | Palo Alto Networks completes acquisition of Protect AI (July 2025) “Palo Alto Networks today announced it has completed its acquisition of Protect AI. The integration of Protect AI's forward-thinking technology and its team of experts will be a cornerstone of Palo Alto Networks' Prisma AIRS” | press | 2026-06-18 |
| s10 | SecurityWeek on Check Point announcing plans to acquire Lakera (September 2025) “Check Point Software Technologies today announced plans to acquire Lakera, a Zurich and San Francisco-based company specializing in security for Agentic AI applications.” | press | 2026-06-18 |
| s13 | CRN India: Check Point Software Technologies completes acquisition of Lakera (October 2025) “Check Point Software Technologies has officially completed its acquisition of Lakera.” | press | 2026-07-15 |
| s11 | DeepKeep academic research page “XAI-Based Detection of Adversarial Attacks on Deepfake Detectors. Ben Pinhasov, Raz Lapid, Rony Ohayon, Moshe Sipper, Yehudit Aperstein. TMLR 2024. Computer Vision. Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors. MLCS @ ECML-PKDD 2024” | official | 2026-06-17 |
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.
Nothing here is professional, security, legal, financial, investment, or purchasing advice, and nothing here is a recommendation to invest in, do business with, or avoid any company. Inclusion of a company is not an endorsement, and absence of a company is not a judgment about it. Reading this site creates no advisory or client relationship. Verify any detail you plan to act on against the vendor's current materials.
The content is provided "as is" and "as available," with all warranties disclaimed, express or implied, including merchantability, fitness for a particular purpose, accuracy, and non-infringement. No entry is warranted to be complete, current, or correct. Companies change, vendors update their claims, sources can be wrong, and automated analysis can misread them.
To the fullest extent permitted by law, the operator, Zeltser Security Corp, is not liable for any damages that arise from using this site or relying on its content, including direct, indirect, incidental, special, and consequential damages and lost profits, even if advised that such damages were possible. If you are dissatisfied with the site or disagree with these terms, your remedy is to stop using it.
Entries link to vendor pages, press coverage, and other external sites that Zeltser Security Corp does not control and is not responsible for. A link is not an affiliation with the destination or an endorsement of it. Product and company names and trademarks are the property of their owners, used here nominatively to identify the companies described. Short quotations from cited sources appear for identification and commentary.
Do not republish its content or share access without the operator's permission.