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.
Mate Security sells AI agents that investigate and respond to security alerts using a knowledge graph the platform builds from each customer’s tools, logs, and procedures. Security product leaders from Wiz, Microsoft, and Axonius founded the company in Tel Aviv in early 2025 and raised $15.5 million from Team8 and Insight Partners. Security chiefs at Lead Bank, Bridgewater Associates, Merlin Entertainments, and AlphaSense endorse the product by name on its site. Mate promises onboarding in hours, a speed that cuts both ways since the graph forms from the customer's own data, so what compounds is the investigation history the graph accumulates in use. One founder led Microsoft Defender XDR and Security Copilot, incumbent products that could bundle this capability.
| Description | AI SOC company whose platform builds a security context graph from each customer's tools, logs, and procedures, and runs AI agents that build detections and carry out triage, investigation, and response across the customer's existing security stack. | [f1] |
|---|---|---|
| Founded | 2025 | [f2] |
| HQ | Tel Aviv, Israel | [f2] |
| Funding | $15.5M total | [f2] |
| Latest funding | Seed, $15.5M (November 2025) | [f2] |
| Product | What it does |
|---|---|
| Mate | Agentic SOC platform whose AI agents use a per-organization security context graph to triage, investigate, and respond to alerts and to build detections. |
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. |
Mate's agents triage, investigate, and respond to alerts that a customer's existing detection stack raises across endpoints, networks, identities, and data stores. The company applies AI to defend conventional assets and is mapped to the Cyber Defense Matrix. [f1]
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 | Mate Security names a specific buyer, the enterprise SOC team, and a specific failure, investigation knowledge that lives in analysts' heads and leaves with them, and Dark Reading independently describes the alert-overload problem the company addresses. The pain stays unquantified in public materials, which keeps the score at adequate. [s1, s9, s5] |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs and third-party validation. | 3/5 | The company documents a concrete pipeline (sources distilled through reason mining into a context graph agents query) and Dark Reading describes the operating model, but no documentation portal, demo, open source, or independent benchmark exists, so depth rests on vendor detail without external product validation. [s1, s9, s5] |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 4/5 | Dark Reading covers Mate as an entrant in an active AI SOC wave, and CrowdStrike, AWS, and NVIDIA selected the company for a cybersecurity accelerator. The homepage displays industry coverage including a Latio Security Operations Market Report dated June 2026 and a Gartner Innovation Insight on AI SOC agents dated October 2025. Mate launched in 2025 as LLMs and reasoning models matured, and the claim that this model progress is the category's enabling change is an analytical inference, not a sourced fact. [s5, s6, s1, s4, s16] |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 | Press verifies the founders led Microsoft Defender XDR and Security Copilot product work, served in Microsoft's threat intelligence center, and held engineering leadership at Axonius, which is senior big-vendor pedigree rather than a founder exit or sustained publication record. [s5, s4, s2] |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 3/5 | The five named executive endorsements sit on Mate's own site without independent scale corroboration, and the AWS Marketplace listing and CrowdStrike accelerator selection evidence a forming distribution motion rather than counted customers, with Team8 and Insight backing as the indirect signal. [s1, s15, s6, s8, s4] |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 2/5 | The $15.5 million seed from Team8 and Insight is large for the stage, and the commercial proof is a marketplace listing and named endorsements with revenue and customer counts undisclosed, so the raise outruns verifiable results and output per dollar reads as well-funded launch marketing. [s4, s8, s1] |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 3/5 | AI SOC is an emerging category whose budget slot still overlaps existing SIEM, SOAR, and MDR spend, and although Dark Reading places Mate in it the category's youth that the snapshot already flagged keeps it forming rather than established. [s5, s1, s6] |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 | The per-customer context graph and the stack-agnostic integration surface exceed a single quarterly feature release, but Microsoft, CrowdStrike, and Palo Alto Networks already sell AI investigation features to the same buyer, and Mate's own claim that it learns an organization within hours implies the context advantage rebuilds quickly. No proven structural moat is visible yet. [s1, s5] |
Mate Security sells investigation capacity to security operations teams whose alert volume outruns their analysts. The company argues that the SIEM-centered SOC has broken down, with costs rising and data scattering across lakes, point tools, and proprietary systems, and that automation built on predictable playbooks breaks when environments change. Dark Reading independently frames the problem the same way, describing security teams stuck in reactive alert management.
The company’s sharper claim is that the scarce SOC asset is context, not headcount. Its blog argues that the decision logic for investigations lives in the memory of experienced analysts and leaves the organization when they do, so AI agents that lack that context cannot produce trustworthy verdicts. Capturing that knowledge in a machine-usable form is the product’s stated reason to exist.
The visible buyer is the security leadership of regulated and large enterprises, plus managed service providers. The five named endorsements on the homepage come from CISOs at a bank, an investment firm, an entertainment company, and a software firm, and from the CTO of an MSSP, and press reports pilot deployments with financial services and critical infrastructure organizations in Europe and the US. [s1, s9, s5, s4]
Mate builds detections and runs triage, investigation, and response as one continuous loop, with a per-customer knowledge layer underneath. The company describes a pipeline that ingests sources such as SIEM logs, standard operating procedures, messaging apps, and CMDBs, distills them through what it calls reason mining, and stores the result as a security context graph that agents query during every investigation. The company says the graph forms within 24 hours of integration.
Stack breadth is the second pitched capability. Mate states that it connects to everything analysts use, including legacy systems, scripts, portals, and Excel, rather than requiring a standardized stack. Dark Reading describes the operating model concretely, with routine alerts handled autonomously and documented, and complex events escalated to human analysts with context attached.
Public validation remains thin. No documentation portal or API reference is publicly visible, the response-time and false-positive results from pilots are company statements relayed by press, and no independent evaluation has been published. The technical blog partially compensates, walking through investigations of real incidents such as the compromised npm distribution of Axios, alongside coverage of other npm package compromises. [s1, s9, s5, s3, s13, s14]
Mate Security enters a crowded field where startups and platform incumbents sell the same outcome. Dropzone AI, 7AI, and Torq market AI SOC analysts or agentic SOC platforms, while Microsoft, CrowdStrike, and Palo Alto Networks ship AI investigation features inside the consoles enterprises already run. The company’s stated differentiation is threefold, instant organizational context, compatibility with any tool, and continuous learning, against rivals it characterizes as starting blank and needing weeks of tuning.
The stack-agnostic posture is the positioning choice with the most strategic content. Incumbent AI features investigate best inside their own ecosystems, so Mate courts the enterprises whose reality is years of accumulated tools, custom apps, and homegrown scripts that no single platform covers. The MSSP endorsement makes the same point commercially, with Water-IT’s CTO crediting Mate for making the firm stack-agnostic across customers.
The absorption threat is unusually personal here. Two founders previously led product for Microsoft Defender XDR and Security Copilot, the incumbent offerings best positioned to bundle equivalent agents into enterprise licenses, so the company is betting it can out-build the product line its own leadership created. [s1, s5, s9]
Mate Security runs a demo-gated enterprise sales motion. The site publishes no pricing and routes buyers to a demo, while the AWS Marketplace listing, announced in January 2026, lets enterprises procure Mate against committed cloud spend. The MSSP testimonial points to a second motion, with Water-IT’s CTO describing Mate as the layer that lets one analyst bench serve customers on any stack.
Named endorsements anchor the public traction case. The homepage carries quoted testimonials from the CISOs of Lead Bank, Bridgewater Associates, Merlin Entertainments, and AlphaSense and from the CTO of the MSSP Water-IT, with AlphaSense reporting it moved nearly all investigations into Mate and Water-IT crediting the product for stack-agnostic service delivery. Press adds pilot deployments with financial services and critical infrastructure organizations, with reported reductions in response time and false positives that remain company statements.
Ecosystem visibility arrived quickly. CrowdStrike, AWS, and NVIDIA selected Mate Security for their 2026 Cybersecurity Startup Accelerator in January 2026, and the company displays industry coverage on its homepage, including a Latio Security Operations Market Report and a Gartner Innovation Insight on AI SOC agents. Counted customers, revenue, and conversion evidence remain undisclosed. [s1, s15, s16, s4, s5, s6, s7, s8, s11, s3]
The founding team’s product history maps directly onto the problem. Press identifies CEO Asaf Wiener as a former product leader at Wiz and Microsoft, CPO Oren Saban as former head of product for Microsoft Defender XDR and Security Copilot, and CTO Guy Pergal as a veteran of Microsoft’s threat intelligence center and a former engineering leader at Axonius. The about page adds Apex to the list of products the founders helped create.
The backers add institutional weight. Team8, the Israeli cyber-focused group, and Insight Partners funded the $15.5 million seed, and the about page presents the human-first operating philosophy that AI should handle the grunt work so humans make the decisions that matter.
Publication is becoming part of the team’s public signal. The founders author the company’s Continuous Detection / Continuous Response framework material, and blog bylines beyond the founders show non-founder staff shipping public content within months of launch. [s5, s4, s2, s10, s3]
Mate Security’s procurement posture is unusually complete for a seed-stage company. The trust center lists ISO 27001:2022, SOC 2 Type II, and a HIPAA completion letter, with gated artifacts including the certification documents and security policies, published control lists, and a subprocessor inventory. The site also operates a report-a-bug page, an early vulnerability-disclosure signal.
The access model concentrates risk at the vendor. Mate’s agents hold credentials into the customer’s security stack, and the context graph accumulates the organization’s detections, procedures, and investigation history in one place, so a compromise of Mate would expose both response authority and the defensive playbook. Reviewed pages do not present a threat model for this scenario.
The regulated-buyer fit shows up in customer language. Lead Bank’s CISO describes Mate automating the metadata and reporting the bank needs for regulators, evidence that the product addresses audit-trail expectations in at least one regulated deployment. [s12, s1, s15, s3]
| Company | Relationship | Note | Compare |
|---|---|---|---|
| Dropzone AI | competes with | AI SOC analyst that autonomously investigates alerts from the customer's existing detection stack, the same buyer and budget line. | |
| 7AI | competes with | Agentic security operations platform running swarms of investigation agents, competing for the same AI SOC purchase. | 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. |
| Torq | competes with | Markets an agentic AI SOC platform with autonomous triage and case management on top of its hyperautomation base. | |
| Microsoft | adjacent | Security Copilot and Defender XDR put AI investigation features inside licenses many enterprises already hold, and two Mate founders previously led product there. | 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. |
| CrowdStrike | adjacent | Ships AI-assisted investigation in its Falcon platform while also backing Mate through the accelerator it runs with AWS and NVIDIA. | |
| Palo Alto Networks | adjacent | Cortex XSIAM sells an AI-driven SOC transformation that absorbs the same investigation workload inside its own data platform. | N/AWe scored these companies at different scopes, so the totals measure different things. |
Add analyzed competitors to compare them side by side with Mate Security.
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
Mate Security earns most of its durability from its buyers and its accumulating record rather than from its software. Banks and large enterprises run legal and procurement review that slows a vendor switch, the certifications on the trust center match what those buyers screen for, and the investigation history grows with every alert the agents handle, history a replacement would discard. The weakest part is the software itself, because the record ties the platform's reasoning to no proprietary model, and the initial context graph forms from customer data within hours by the company’s own account. Mate is most defensible with regulated buyers it has already deployed inside, and weakest as a fresh evaluation against any funded rival.
| 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 the platform as software through demos and the AWS Marketplace listing. Mate's agents produce investigation verdicts, but the company takes no public accountability or liability for outcomes, and no managed service wraps the software. |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 | The context graph accumulates the customer's procedures, decisions, and investigation history, and AlphaSense reports moving nearly all investigations into Mate, meaningful friction from data history and learned workflows. The company's own claim that context forms within 24 hours bounds how much of the initial layer is unique, though no source shows a competitor reproducing it. |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 | Mate holds ISO 27001, SOC 2 Type II, and HIPAA artifacts and points to regulator-ready reporting at a bank customer, but these are commercial, table-stakes attestations that any enterprise vendor obtains, with no federal authorization in the cited record and no cited regulation mandating an AI SOC product. A determined rival could clear the same bars. |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 2/3 | Reason mining, per-customer graph construction, and agent orchestration across arbitrary stacks are non-trivial engineering from a team with rare domain depth. The record claims no proprietary model behind the reasoning, which caps the score. |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 3/3 | The named buyers are a bank, an investment firm, an entertainment enterprise, a software firm, and an MSSP, and press adds financial services and critical infrastructure pilots, regulated organizations whose procurement and legal review slow replacement. |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 | Mate runs as an application above the customer's security tools, but AlphaSense describes federating its stack's data into Mate as a central hub, and Water-IT delivers its MSSP service through it, early platform-with-application dynamics rather than a pure end-user app. |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 1/3 | Each customer's context graph and investigation memories are tenant-specific, not a pooled cross-customer corpus, and the company's own hours-to-onboard pitch shows the starting graph rebuilds from customer data within 24 hours. No non-public security-labeled dataset a new entrant could not assemble is evident, so the data position is replicable rather than a proprietary moat. |
Mate Security’s visible center of gravity is regulated and large enterprises, with managed service providers as a second motion. The named endorsements come from the CISOs of Lead Bank, Bridgewater Associates, Merlin Entertainments, and AlphaSense and from the CTO of the MSSP Water-IT, and press reports pilot deployments with financial services and critical infrastructure organizations in Europe and the US. The company operates from Tel Aviv, and the pilot deployments in press coverage are in the US and Europe.
The evaluating persona is the security executive rather than the hands-on analyst. Every quoted endorsement carries a CISO or CTO title, and the messaging speaks to leadership concerns, knowledge retention when analysts leave, regulator-ready reporting, and team upskilling, more than to console-level features. One named MSSP, Water-IT, sketches a service-provider motion, describing Mate as the layer that lets one analyst bench serve any customer stack.
Public proof of demand is current. The testimonials, the AWS Marketplace listing announced in January 2026, and the vendor-displayed placement in Latio’s June 2026 security operations report were live as of June 2026, and the newsroom keeps an active press trail. What no public source provides is scale, since customer counts, deal sizes, and revenue stay undisclosed.
Mate Security stakes its capability claim on a data architecture rather than on agent autonomy alone. The platform ingests the sources analysts actually use, including SIEM logs, standard operating procedures, messaging apps, and CMDBs, distills them through what the company calls reason mining, and stores the result as a per-customer security context graph that agents query in every investigation. The company says the graph forms within 24 hours of integration, and its blog argues that agents without this layer cannot deliver precise, consistent verdicts.
The product closes the loop between investigation and detection engineering. Under the Continuous Detection / Continuous Response framing the founders published in May 2026, agents compress what investigations learn into new detections, and those detections feed the next investigation. Dark Reading describes the runtime behavior concretely, with routine alerts resolved autonomously and documented, and complex events escalated to humans with context attached.
The claimed data advantage is real but customer-shaped. Each context graph belongs to one organization, so Mate accumulates switching cost rather than a cross-customer dataset, and no public material claims a pooled detection model. The pages do not identify the underlying models, and no proprietary model is claimed, so the graph, not the models, is the differentiating asset the company presents.
Independent validation has not caught up with the claims. The reviewed record shows no public documentation portal, benchmark, or third-party technical evaluation, and the pilot metrics that press relays, reduced response time and fewer false-positive hours, are the company’s own statements. The technical blog hosts investigation walkthroughs, including Mate’s guide to investigating the Axios supply-chain attack, the closest public artifact to a capability demonstration.
Mate Security sells top-down through demos while leaning on cloud channels early. The site publishes no pricing and routes every path to a demo request, the posture of negotiated enterprise contracts, and the AWS Marketplace listing announced in January 2026 lets buyers procure through committed cloud spend.
The founders front the public activity, which fits the stage. Asaf Wiener authors the Continuous Detection / Continuous Response framework material, Oren Saban writes its volume-math companion piece, and the founders’ names carry the funding and accelerator announcements. Non-founder bylines on the blog through spring 2026 show a content operation forming beneath them, and a webinar on evaluating AI SOC solutions runs the classic category-education play.
Traction evidence is named but not counted. Five executives endorse the product on the homepage, AlphaSense reports moving nearly all investigations into Mate, and the CrowdStrike, AWS, and NVIDIA accelerator selection in January 2026 adds ecosystem distribution, mentorship, and a demo-day stage timed to RSA Conference. Revenue, customer counts, and pipeline remain undisclosed, which is normal at seed but worth rechecking as the company approaches its next raise.
Mate Security keeps pricing off its own site but lists a public number on AWS Marketplace. Every path on mate.security ends at a demo request, the posture of negotiated enterprise contracts, yet the AWS Marketplace listing carries a single 12-month dimension, the Mate Enterprise Tier, at $150,000 and points larger buyers to a private offer through sales. The published figure gives prospects the one public anchor while leaving custom enterprise deals to negotiation.
The AWS Marketplace path also routes around the budget gatekeeper. The company promotes private pricing agreements that draw down AWS spending commitments, a mechanism built for negotiated enterprise deals rather than self-service consumption, so a buyer can fund Mate from cloud commitments already approved.
The unanswered design question is the charging unit behind the tier. The Marketplace dimension is a 12-month usage tier entitling a specified quantity of use, so the contract carries a usage bound even though no per-alert, per-seat, or per-outcome meter is published. The thing to watch is whether the eventual unit matches how SOC leaders measure the problem, hours of investigation work, rather than how vendors meter software.
Mate offers more than one delivery model and integrates into the customer’s existing stack rather than replacing it. The AWS Marketplace listing sells the product as SaaS and also states the company supports bring your own cloud and bring your own model for control and data sovereignty, levers a buyer wary of a vendor-hosted SOC brain can weigh, with SaaS the formal delivery method. The company states the platform connects to SIEMs, EDRs, data lakes, custom applications, scripts, portals, and Excel, and that the context graph forms within 24 hours of integration, a deployment promise aimed at teams burned by long SIEM and SOAR rollouts.
The operating model keeps humans at the decision points. Dark Reading describes routine alerts handled and documented autonomously while complex events escalate to analysts with context attached, and the company’s stated philosophy is that AI should handle the grunt work so humans make the decisions that matter.
Operational transparency lags the deployment story. No public API reference, SLA, or data-residency policy was found by a probe of the mate.security homepage, blog and newsroom indexes, sitemap, trust center, and AWS Marketplace listing as of 2026-07-02, though the Marketplace listing does name bring your own cloud and bring your own model as sovereignty options. A buyer therefore cannot independently assess integration depth, and response actions imply write access into production security tools whose safeguards the public materials do not describe. The trust center’s subprocessor inventory is the main public operations artifact.
Mate Security built its compliance posture ahead of its market visibility. The trust center lists ISO 27001:2022, SOC 2 Type II, and a HIPAA completion letter, gates the underlying reports behind an access request, and publishes control lists and a subprocessor inventory. A report-a-bug page adds an early vulnerability-disclosure channel. For a company that left stealth in November 2025, this is the posture of a vendor expecting regulated-buyer scrutiny from the start.
The product’s privileges make vendor trust the core of the sale. Mate’s agents act across the customer’s security stack with supervised response actions, and the context graph concentrates the organization’s detections, procedures, and investigation history, with the pages not specifying credential custody or where each deployment stores it. A compromise of Mate would hand an attacker both response authority and the defensive playbook, and reviewed pages present no threat model for that scenario.
Early customer language suggests the regulated-buyer bar is being met in practice. Lead Bank’s CISO credits Mate with automating the metadata and reporting the bank needs for regulators, an audit-trail outcome that doubles as a procurement argument for other regulated prospects.
Mate positions itself as the layer above everyone else’s tools, a platform posture without platform mechanics yet. The product consumes alerts and data from SIEMs, EDRs, lakes, and custom systems and feeds conclusions back into them, and the stack-agnostic pitch directly counters the consolidation story platform incumbents sell. The probe found no public API, developer program, or integration marketplace for others to build on.
The MSSP relationship is the most platform-like dynamic in evidence. Water-IT runs its service delivery through Mate and credits it with making the firm stack-agnostic across customers, an early sign that service providers could become a multiplier channel building businesses on top of the product.
Ecosystem ties run through the cloud and security majors. The AWS Marketplace listing and AWS-native architecture align Mate with cloud procurement, and the CrowdStrike, AWS, and NVIDIA accelerator provides distribution and visibility from vendors that are simultaneously potential competitors, a common but double-edged position for an AI SOC startup.
The founding trio’s history is the product thesis in résumé form. Press identifies CEO Asaf Wiener as a former product leader at Wiz and Microsoft, CPO Oren Saban as former head of product for Microsoft Defender XDR and Security Copilot, and CTO Guy Pergal as a veteran of Microsoft’s threat intelligence center and a former engineering leader at Axonius, backgrounds the company’s own about page summarizes. The team that helped build incumbent SOC tooling now sells the layer it argues that tooling lacks.
The backers and the build-out match the enterprise ambition. Team8 and Insight Partners funded the $15.5 million seed, the site advertises that the company is hiring, and non-founder bylines on the blog show early hires shipping public work. Headcount, engineering depth, and go-to-market leadership remain undisclosed.
The open execution question is commercial leadership. Founder-led selling works at seed, and the visible public activity leans toward content and channel building, so the next test is whether Mate Security can add enterprise sales leadership without losing the founder-credibility motion that carries it today.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Mate Security homepage | official | 2026-06-11 |
| f2 | SecurityWeek on the Mate Security seed round | press | 2026-06-11 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Mate Security homepage “When Mate integrates, it builds a context graph within 24 hours. This is your unique, organizational "brain". Agents use the graph as their knowledge source for investigating, responding, and building detections.” | official | 2026-07-02 |
| s2 | Mate Security about page “People will always be at the center of the SOC. We believe AI should handle the grunt work so humans can make the decisions that matter.” | official | 2026-06-12 |
| s3 | Mate Security newsroom | official | 2026-06-18 |
| s4 | SecurityWeek on the Mate Security seed round “AI-powered Security Operations Center (SOC) startup Mate this week emerged from stealth mode with $15.5 million in seed funding from Team8 and Insight Partners.” | press | 2026-06-12 |
| s5 | Dark Reading on the Mate launch “Oren Saban, Mate's CPO and former head of product for Microsoft Defender XDR and Security Copilot; and Guy Pergal, Mate's CTO and a veteran of Microsoft's threat intelligence center (MSTIC) and a former engineering leader at Axonius.” | press | 2026-06-12 |
| s6 | CrowdStrike press release on the 2026 Cybersecurity Startup Accelerator “CrowdStrike, AWS, and NVIDIA Select 35 Startups for the 2026 Cybersecurity Startup Accelerator” | press | 2026-06-12 |
| s7 | Mate Security AWS Marketplace announcement “We’re thrilled to share that Mate Security is now officially listed on AWS Marketplace” | official | 2026-06-12 |
| s8 | Mate Security AWS Marketplace listing “AWS Marketplace: Mate Security” | official | 2026-06-12 |
| s9 | Mate Security blog on the Security Context Graph “We called this new architecture the Security Context Graph” | official | 2026-06-18 |
| s10 | Mate Security CD/CR framework blog post | official | 2026-06-12 |
| s11 | Mate Security accelerator announcement “TEL AVIV, Israel – January 5, 2026 – Mate Security, a company elevating security operations centers (SOCs) with wisdom-powered AI agents, today announced it has been selected to participate in the 2026 Cybersecurity Startup Accelerator with CrowdStrike, Amazon Web Services (AWS) and NVIDIA” | official | 2026-06-12 |
| s12 | Mate Security trust center “ISO 27001 Certificate of Registration” | official | 2026-06-12 |
| s13 | Mate Security: Mate's Guide to Investigating the Axios Supply Chain Attack “A threat actor compromised the npm distribution of Axios, a widely used JavaScript HTTP client, and published malicious versions that functioned as a dropper, executing a staged payload sequence upon installation.” | official | 2026-07-02 |
| s14 | Mate Security blog index “npm Chalk & Debug Packages Compromised: How to Check If You're Impacted” | official | 2026-07-02 |
| s15 | Mate Security homepage testimonial wall “Chief Information Security Officer, Lead Bank ... Chief Information Security Officer, Bridgewater Associates ... Chief Information Security Officer, Merlin Entertainments ... Chief Information Security Officer, Alphasense ... Chief Technology Officer, Water-IT” | official | 2026-07-02 |
| s16 | Mate Security homepage industry coverage section “Latio logo ... Security Operations Market Report ... June 2026 ... Gartner logo ... Innovation Insight: AI SOC Agents ... October 2025” | official | 2026-07-02 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Mate Security homepage “When Mate integrates, it builds a context graph within 24 hours. This is your unique, organizational "brain". Agents use the graph as their knowledge source for investigating, responding, and building detections.” | official | 2026-06-11 |
| s2 | Mate Security about page “People will always be at the center of the SOC. We believe AI should handle the grunt work so humans can make the decisions that matter.” | official | 2026-06-11 |
| s3 | Mate Security newsroom | official | 2026-06-11 |
| s4 | SecurityWeek on the Mate Security seed round “AI-powered Security Operations Center (SOC) startup Mate this week emerged from stealth mode with $15.5 million in seed funding from Team8 and Insight Partners.” | press | 2026-06-11 |
| s5 | Dark Reading on the Mate launch “Oren Saban, Mate's CPO and former head of product for Microsoft Defender XDR and Security Copilot; and Guy Pergal, Mate's CTO and a veteran of Microsoft's threat intelligence center (MSTIC) and a former engineering leader at Axonius.” | press | 2026-06-11 |
| s6 | CrowdStrike press release on the 2026 Cybersecurity Startup Accelerator “CrowdStrike, AWS, and NVIDIA Select 35 Startups for the 2026 Cybersecurity Startup Accelerator” | press | 2026-06-11 |
| s7 | Mate Security AWS Marketplace announcement “Private Pricing Agreements (PPA) commitment drawdown that allows software purchases to count toward AWS spending commitments.” | official | 2026-06-11 |
| s8 | Mate Security AWS Marketplace listing “Mate Enterprise Tier ... The usage tier level in Mate Platform. For private offer please contact us: sales@mate.security. ... $150,000.00” | official | 2026-06-15 |
| s19 | Mate Security AWS Marketplace listing deployment options “Deploy your way: SaaS, bring your own cloud (BYOC), or bring your own model (BYOM) for total control and data sovereignty.” | official | 2026-06-15 |
| s9 | Mate Security blog on the Security Context Graph “This decision logic, the context, lives outside texts, it resides in the memory of experienced analysts.” | official | 2026-06-11 |
| s10 | Mate Security CD/CR framework blog post | official | 2026-06-11 |
| s11 | Mate Security accelerator announcement “TEL AVIV, Israel – January 5, 2026 – Mate Security, a company elevating security operations centers (SOCs) with wisdom-powered AI agents, today announced it has been selected to participate in the 2026 Cybersecurity Startup Accelerator with CrowdStrike, Amazon Web Services (AWS) and NVIDIA” | official | 2026-06-11 |
| s12 | Mate Security trust center “ISO 27001 Certificate of Registration” | official | 2026-06-11 |
| s13 | Mate Security homepage Lead Bank testimonial “Gavin Grisamore Chief Information Security Officer, Lead Bank” | official | 2026-06-13 |
| s14 | Mate Security homepage Bridgewater Associates testimonial “Anthony Candeias Chief Information Security Officer, Bridgewater Associates” | official | 2026-06-13 |
| s15 | Mate Security homepage Merlin Entertainments testimonial “Matthew Wilmot Chief Information Security Officer, Merlin Entertainments” | official | 2026-06-13 |
| s16 | Mate Security homepage AlphaSense testimonial “Pieter VanIperen Chief Information Security Officer, Alphasense” | official | 2026-06-13 |
| s17 | Mate Security about page founders “Our founders led the creation of world-leading cyber security products at Wiz, Microsoft, Axonius and Apex” | official | 2026-06-13 |
| s18 | Insight Partners on the Mate launch with founding year and founder roles “Founded in early 2025, Mate is led by Asaf Wiener... He is joined by Oren Saban, former head of product for Microsoft Defender XDR and Security Copilot, and Guy Pergal, a veteran of Microsoft's threat intelligence center (MSTIC) and former engineering leader at Axonius.” | press | 2026-06-13 |
| s20 | Mate Security: Mate's Guide to Investigating the Axios Supply Chain Attack “A real-world walkthrough of an Axios supply chain attack, showing how Mate's AI agents detected, investigated, and contained threats in a CI/CD environment before impact.” | official | 2026-06-18 |
| s21 | Probe for API reference, SLA, and data-residency policy across mate.security pages, trust center, and AWS Marketplace listing, curl static HTML, 2026-07-02 | official | 2026-07-02 |
| s22 | Mate Security homepage (2026-07-02 fetch, connects-list text and context-graph diagram alt) “It connects to everything analysts use, from legacy systems to scripts, portals, and Excel. Diagram alt: "six vertical panels labeled SIEM LOGS, SOPS, MESSAGING APP, CMDB"” | official | 2026-07-02 |
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