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.
Sweet Security sells one platform for cloud and AI, but its two lines differ in how easily a rival could copy them. The runtime sensor and cloud-native application protection platform that win business sit over a customer's existing cloud, coverage a larger platform could match. Harder to copy is the newer agent control, a gateway tied to the Model Context Protocol, through which agents reach tools and data, which enforces least privilege as an agent operation runs and cuts an attack chain without ending the session. Sweet closes deals on that cloud coverage, yet has not shown one buyer routing production agents through the control that would make it hard to leave. A growth claim of six times the prior year comes from Sweet alone, with no named customer confirming it.
| Description | Sweet Security's AI Security Platform gives companies visibility into the AI models and agents running in their environment. It routes agent traffic through an AI gateway to block prompt injection and holds agents to minimal permissions. | [f1] |
|---|---|---|
| Founded | 2023 | [f2] |
| HQ | Tel Aviv, Israel | [f2] |
| Funding | $120M total | [f2] |
| Latest funding | Series B, $75M (November 2025) | [f3] |
| Deployment | SaaS | [f4] |
| Product | What it does |
|---|---|
| Sweet AI Security Platform | Sweet AI Security Platform: Runtime detection and response for AI systems that inventories models and agents, blocks prompt injection through an AI gateway, and enforces least privilege for agents. |
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. |
The Sweet AI Security Platform is runtime detection and response for AI systems that inventories models and agents, blocks prompt injection through an AI gateway, and enforces least privilege for agents. It is mapped to the AI Defense Matrix. [f5]
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. |
Sweet's Runtime CNAPP uses AI to secure conventional cloud workloads, applications, and identities at runtime, with detection and response, posture and vulnerability inventory, API security, and identity threat detection. It is mapped to the Cyber Defense Matrix. [f2]
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. | 3/5 |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 |
| 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. | 2/5 |
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 | Sweet Security: AI Security Platform for Agents and LLMs | official | 2026-07-09 |
| f2 | CTech on the Sweet Security Series B (founding corroborated by 2.5-year funding span from November 2025, and the August 2023 TechCrunch seed announcement) | press | 2026-06-14 |
| f3 | Sweet Security Series B press release (November 12, 2025) | official | 2026-06-14 |
| f4 | AI Defense Matrix Catalog entry | other | 2026-06-10 |
| f5 | AI Defense Matrix Catalog mapping | other | 2026-06-23 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Sweet Security homepage (Cloud Security for the AI Era) “One platform that secures traditional and AI applications” | official | 2026-06-14 |
| s2 | Sweet AI Security Platform (AISP) product page “Sweet delivers full-lifecycle AI security from the level of the language model to agent execution in production systems.” | official | 2026-06-14 |
| s3 | Sweet Security Series B press release (November 12, 2025) “raised $75 million in Series B funding led by Evolution Equity Partners, with participation from Munich Re Ventures, Glilot Capital Partners, and Key1 Capital, bringing the company's total funding to $120 million” | official | 2026-06-14 |
| s4 | CTech on the Sweet Security $75M Series B (November 12, 2025) “This brings the company's total funding to $120 million, all raised over the past two and a half years. Around $15 million in the Series B were allocated to secondary deals.” | press | 2026-06-16 |
| s5 | TechCrunch on the Sweet Security $12M seed round (August 9, 2023) “Sweet Security, a Tel Aviv-based cloud security startup, today announced that it has raised a $12 million seed round led by Glilot Capital Partners, with participation from CyberArk Ventures” | press | 2026-06-14 |
| s6 | SiliconANGLE on the Sweet Security $33M Series A (March 6, 2024) “raised $33 million in new funding to scale up its operations in the U.S. and expand its platform ... the runtime sensor said to take under five minutes to deploy” | press | 2026-06-14 |
| s7 | About Sweet Security “Founded by the former CISO of the IDF and a team of elite experts in offensive and defensive cloud security, Sweet is offering a new flavor of CNAPP.” | official | 2026-06-14 |
| s8 | Sweet Security Series B press release (growth metrics subhead) “6x ARR growth and 10x enterprise customer expansion position Sweet for market dominance as global demand surges for real-time protection across Cloud and AI environments” | official | 2026-06-14 |
| s9 | Sweet Security homepage (patent-pending detection engine press card) “Sweet Security Introduces Patent-Pending LLM-Powered Detection Engine, Reducing Cloud Detection Noise to 0.04%” | official | 2026-06-14 |
| s10 | CTech on Sweet Security founders and CNAPP coverage (November 12, 2025) “Sweet Security provides a comprehensive cloud-native application protection platform (CNAPP) that gives security professionals full visibility into systems at all stages of code execution” | press | 2026-06-16 |
| s11 | CTech quoting Kashti on traction and hiring (November 12, 2025) “there is strong market validation. Our product has become very mature, and we have a number of very large American customers actively using it ... We are doubling our capacity every quarter.” | press | 2026-06-16 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Sweet Security homepage (Cloud Security for the AI Era) “One platform that secures traditional and AI applications. Lemonade case study.” | official | 2026-06-17 |
| s2 | Sweet AI Security Platform (AISP) product page “Sweet delivers full-lifecycle AI security from the level of the language model to agent execution in production systems. Through its unified platform, Sweet ensures continuous visibility, provides runtime intelligence, and empowers policy-based control that ensures guardrails.” | official | 2026-06-18 |
| s3 | Sweet AISP Models, Agents, and AI-BOM detail “Build an AI-BOM. Track every model (public or fine-tuned). Foundation models (like Bedrock, Claude, and OpenAI). Instantly detect all AI agents in your environment, including shadow or unmanaged ones. Ensure agents operate with minimal permissions. Reveal the blast radius of attacks on every agents.” | official | 2026-06-18 |
| s4 | Sweet AISP runtime context plus control-plane enforcement “Instant Attack-Chain Cut (Real-Time Operation-Level Enforcement). Enforce policies at the operation level for each token or identity, without ending the entire session. Link workload sensors with the MCP Gateway for contextual enforcement. True least-privilege enforcement and smaller blast radius.” | official | 2026-06-18 |
| s5 | Sweet Security Series B press release (November 12, 2025) “6x ARR growth and 10x enterprise customer expansion. Raised 75 million dollars in Series B led by Evolution Equity Partners, Munich Re Ventures, Glilot Capital Partners, and Key1 Capital. Sweet announced an extension of its Runtime CNAPP sensor to include Windows environments.” | official | 2026-06-17 |
| s6 | CTech on the Sweet Security 75M Series B (November 12, 2025) “Sweet's founders are co-founder and CEO Dror Kashti, former CISO of the Israel Defense Forces; Eyal Fisher, former head of the Cyber Department at Unit 8200; and Orel Ben-Ishay, former R&D Cybersecurity Group Leader at the Special Operations Division. Total funding now 120 million dollars.” | press | 2026-06-18 |
| s7 | SiliconANGLE on the Sweet Security 33M Series A (March 6, 2024) “The company's suite includes detection, response, discovery and prevention, all in runtime, with the runtime sensor said to take under five minutes to deploy. The suite provides cloud-native cluster visibility, streaming critical application data to profile workload behavior anomalies.” | press | 2026-06-17 |
| s8 | About Sweet Security (founders and positioning) “Founded by the former CISO of the IDF and a team of elite experts in offensive and defensive cloud security, Sweet is offering a new flavor of CNAPP. Dror Kashti, Co-Founder and CEO. Eyal Fisher, Co-Founder and CPO. Orel Ben Ishay, Co-Founder and VP R&D. Tomer Filiba, CTO.” | official | 2026-06-18 |
| s9 | Sweet Security homepage (patent-pending detection engine press card) “Sweet Security Introduces Patent-Pending LLM-Powered Detection Engine, Reducing Cloud Detection Noise to 0.04%” | official | 2026-06-17 |
| s10 | Sweet Security trust subdomain (probed) “trust.sweet.security redirects to the marketing homepage, with no inspectable certifications as of 2026-06-24.” | official | 2026-06-24 |
| s11 | TechCrunch: Sweet Security raises $12M seed round for its cloud security suite “Sweet Security, a Tel Aviv-based cloud security startup, today announced that it has raised a $12 million seed round led by Glilot Capital Partners, with participation from CyberArk Ventures and a number of angel investors.” | press | 2026-06-30 |
| s12 | SecurityWeek: Sweet Security Raises $75 Million for Cloud and AI Security “Tackling the Runtime Cloud-Native Application Protection Platform (CNAPP) segment, the company's end-to-end solution prioritizes risk, detection, investigation, and remediation.” | press | 2026-06-30 |
| s13 | Help Net Security: Sweet Security brings Runtime CNAPP visibility and protection to Windows environments “Sweet Security announced an extension of its Runtime CNAPP sensor to include Windows environments. With this launch, organizations can secure Windows workloads and applications in the cloud.” | press | 2026-06-30 |
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.