CYBRET AI

Autonomous security and development lab building systems that understand modern attack behavior and operate at machine speed.

Website: https://www.cybret.ai/

Cover Block

PUBLIC
Company Name CYBRET AI
Tagline Autonomous security and development lab building systems that understand modern attack behavior and operate at machine speed. [LinkedIn, June 2024]
Headquarters Stockholm, Sweden
Founded 2025
Stage Pre-Seed
Business Model SaaS
Industry Security
Technology AI / Machine Learning
Geography Global / Remote-First
Growth Profile Venture Scale
Founding Team Solo Founder
Funding Label Undisclosed
Total Disclosed $990,000 [Nordic9, Dec 2025]

Links

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Executive Summary

PUBLIC

CYBRET AI is building an autonomous security platform that aims to replace static, rule-based detection with a reasoning engine that operates at machine speed, a bet that deserves attention for its attempt to fundamentally shift the application security paradigm. Founded in 2025 by Adrian De Gendt, the company has positioned itself as a research and development lab focused on deep attack understanding and real-time response [LinkedIn, June 2024]. Its core product surfaces exploitable attack paths across code, cloud, identity, and APIs, then uses autonomous agents to safely validate and respond to them, all unified on a single knowledge graph [CYBRET AI, retrieved 2024].

The founder's background, as presented by the company, is that of a prodigy with early immersion in cybersecurity and AI, though these claims are primarily self-published and lack third-party verification [LinkedIn, June 2024]. The company has secured an initial round of funding, reported as a $990,000 pre-seed led by Skyfall Ventures and backed by a syndicate of notable Nordic investors [Nordic9, Dec 2025]. It operates a SaaS model with pricing tiers based on the number of applications monitored, targeting startups through to enterprises [CYBRET AI, retrieved 2024]. Over the next 12-18 months, the key watchpoints will be the transition from a conceptual launch to proven customer deployments and the demonstration that its autonomous reasoning can scale effectively in complex, real-world environments.

Data Accuracy: YELLOW -- Key product and funding details are sourced from the company's own materials and one regional news report; founder background claims are unverified by independent sources.

Taxonomy Snapshot

Axis Classification
Stage Pre-Seed
Business Model SaaS
Industry / Vertical Security
Technology Type AI / Machine Learning
Geography Global / Remote-First
Growth Profile Venture Scale
Founding Team Solo Founder
Funding Undisclosed

Company Overview

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CYBRET AI emerged in mid‑2024 as a research‑oriented venture, framing its mission around autonomous reasoning for cybersecurity rather than a conventional product launch. The company's public debut was a June 2024 LinkedIn post announcing "a new era of Autonomous Cybersecurity" and describing its work as an "autonomous security and development lab" [LinkedIn, June 2024]. It is legally domiciled in Stockholm, Sweden, and was founded in 2025, according to its corporate profile [Tracxn, Dec 2025]. The founder, Adrian De Gendt, has stated the company operates with a small, flat team structure of under 25 people [CYBRET AI, retrieved 2024].

The founder's background is a central component of the company's narrative. Public profiles describe Adrian De Gendt as a former Junior Security Analyst at Telenor Cyberdefence, noted as the youngest hire in its history, and as a participant in FR8 Cohort 1.0, a program focused on securing AI [adriandegendt.com, retrieved 2026]. He was also accepted into Y Combinator's AI Startup School among top global applicants [adriandegendt.com, retrieved 2026]. Prior to founding CYBRET AI, he co‑founded InterstellarSpace, a student organization focused on satellite and space technology [LinkedIn, retrieved 2026].

Key operational milestones are limited but include securing pre‑seed funding. A $990,000 round led by Skyfall Ventures closed in December 2025, with participation from Inception Fund, Visionaries Club, Wave Ventures, FR8, and several angel investors including Robin Hansson, Risto Siilasmaa, and Peter Sarlin [Nordic9, Dec 2025]. A separate, undisclosed seed round was also reported in December 2025, led by the same venture firm [Tracxn, Dec 2025]. The company's current headcount is listed as 11 on LinkedIn [LinkedIn, retrieved 2026], and it has begun recruiting for founding‑team roles in engineering and sales in early 2026 [MeetFrank, Feb 2026] [TealHQ, May 2026].

Data Accuracy: YELLOW -- Key founding details and funding amounts are sourced from the company's site and regional news. The founder's specific career claims are primarily self‑published or from his personal site, lacking third‑party verification.

Product and Technology

MIXED

CYBRET AI’s core proposition is an autonomous security platform that aims to move beyond static, rule-based detection. The company describes its system as one that “understand[s] modern attack behavior, reason[s] across complex environments, and operate[s] at machine speed” [LinkedIn, June 2024]. This is operationalized through a three-layer architecture, comprising a sensor layer, a reasoning layer, and an action layer [Tracxn, retrieved 2024]. The platform’s unifying element is a live knowledge graph that continuously maps an organization’s code, cloud, identity, and API assets to reconstruct potential attack paths [CYBRET AI, retrieved 2024].

Product functionality is segmented into three distinct but integrated modules, all built on this single graph. [PUBLIC] Exposure Intelligence serves as the foundational mapping engine, creating a dynamic model of an environment to identify exploitable connections. [PUBLIC] Validation then deploys autonomous agents to safely and continuously re-attack the paths surfaced by the intelligence layer, aiming to prove exploitability in a controlled manner. [PUBLIC] Finally, Runtime Detection is positioned to monitor for active threats at call-trace resolution, correlating events and triggering automated responses [CYBRET AI, retrieved 2024]. The company states this unified approach moves application defense “from static to semantic” using a reasoning engine [CYBRET AI, retrieved 2024].

Pricing is publicly tiered and outcome-based, centered on the metric of “paths closed.” The Startup plan is listed at $990 per month for monitoring up to 25 applications, the Scaleup plan at $4,800 per month for 200 applications, and an annual Enterprise tier for custom contracts [CYBRET AI, retrieved 2024]. The technology stack is not explicitly detailed, but the company’s active recruitment for a Founding AI Engineer role, which mentions work with “large-scale knowledge graphs and reasoning systems,” suggests a reliance on graph databases and advanced AI/ML frameworks (inferred from job postings) [MeetFrank, Feb 2026].

Data Accuracy: YELLOW -- Product claims are detailed on the company website but lack third-party technical validation or public customer deployments. Architecture details are partially corroborated by a secondary source.

Market Research

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The market for autonomous cybersecurity systems is emerging from a collision of two powerful trends: the escalating complexity of modern attack surfaces and the maturation of reasoning-based AI agents.

Third-party sizing for the specific category of autonomous security operations is not yet established. Analysts can triangulate using adjacent, better-defined markets. The broader AI in cybersecurity market was valued at $22.4 billion in 2023 and is projected to reach $60.6 billion by 2028, growing at a compound annual growth rate of 22% [MarketsandMarkets, 2023]. The application security market, a key adjacent space, is forecast to grow from $9.8 billion in 2024 to $22.7 billion by 2029 [MarketsandMarkets, 2024]. CYBRET AI's focus on semantic understanding and automated validation targets a segment within these larger markets, where growth is likely driven by the premium placed on reducing manual analyst workload and accelerating response.

AI in Cybersecurity (2023) | 22.4 | $B
AI in Cybersecurity (2028 est.) | 60.6 | $B
Application Security (2024) | 9.8 | $B
Application Security (2029 est.) | 22.7 | $B

The projected growth rates for these adjacent markets suggest a receptive environment for new entrants proposing automation, though the specific SAM for autonomous reasoning platforms remains unquantified.

Demand is propelled by several converging forces. The primary driver is the overwhelming volume and sophistication of attacks, which outpaces the capacity of human security teams. A secondary driver is the shift to cloud-native and API-driven architectures, which create dynamic, interconnected environments that are difficult to secure with static, rule-based tools. The company's cited focus on "reasoning across complex environments" and "operating at machine speed" [LinkedIn, June 2024] directly addresses these pain points. The adoption of AI agents across software development and IT operations also creates a tailwind, as security teams seek analogous automation for defense.

Key adjacent and substitute markets include traditional application security testing (SAST, DAST, SCA), cloud security posture management (CSPM), and extended detection and response (XDR) platforms. These established categories represent both competitive pressure and potential integration points. Regulatory forces, particularly in the EU and US, are increasingly mandating stricter cybersecurity protocols and reporting requirements for critical infrastructure and software supply chains. These regulations can act as a catalyst for adoption of more comprehensive, automated security platforms that provide auditable proof of exploitability and remediation, aligning with CYBRET AI's validation layer claims [CYBRET AI, retrieved 2024].

Data Accuracy: YELLOW -- Market sizing is drawn from analogous, published third-party reports. The connection to CYBRET AI's specific segment is an analyst inference.

Competitive Landscape

MIXED

CYBRET AI enters a security market where the primary competition is not a single, direct rival but a fragmented set of established point solutions that collectively address the problem of application and infrastructure security.

Company Positioning Stage / Funding Notable Differentiator Source
CYBRET AI Autonomous security lab unifying exposure intelligence, validation, and runtime detection on a single knowledge graph. Pre-Seed / ~$1M (estimated) AI-driven reasoning engine that autonomously proves exploitability of attack paths; pricing based on "paths closed." [CYBRET AI, retrieved 2024]
XBOW AI-powered security platform for attack path analysis and automated remediation. Seed / $3.5M Focus on cloud-native attack path mapping and automated fix generation. [Tracxn, 2025]

The competitive map for autonomous threat reasoning is nascent, with few companies claiming the same unified scope. The landscape is better understood by segmenting the capabilities CYBRET AI bundles. In exposure intelligence and attack surface management, incumbents like Wiz and Orca Security have established significant market share and sales motion, focusing on cloud security posture management. For validation and automated penetration testing, companies like Cobalt Strike (for manual red teams) and newer entrants like Bishop Fox's Attack Surface Management platform offer automated security testing. Runtime detection and response is dominated by extended detection and response (XDR) platforms like CrowdStrike and SentinelOne, which correlate alerts but typically operate downstream of an exploit. CYBRET AI's bet is that stitching these three functions,mapping, proving, and responding,onto a single reasoning graph creates a compound advantage that point solutions cannot match.

CYBRET AI's current defensible edge appears to be architectural, not commercial. The company's platform is designed from the ground up to connect code, cloud, identity, and API data into a live knowledge graph, then use autonomous agents to safely re-attack the paths it discovers [CYBRET AI, retrieved 2024]. This closed-loop of discovery, validation, and detection is its core technical differentiator. However, this edge is perishable. It relies on the founder's technical vision and early execution speed, as the company's disclosed capital is modest and the team is small [LinkedIn, retrieved 2026]. Larger incumbents with deeper R&D budgets and existing customer graphs could attempt to replicate the integrated approach, though they may be slowed by legacy architecture.

The company is most exposed in distribution and market credibility. Its primary competitor, XBOW, has publicly disclosed a larger seed round and is likely further along in building a sales function [Tracxn, 2025]. More broadly, CYBRET AI must contend with the entrenched sales relationships and brand trust held by cloud security platforms like Wiz. These incumbents can easily bundle new reasoning features into their existing suites, leveraging their extensive channel partnerships and enterprise security budgets. Furthermore, CYBRET AI's pricing model,charging based on "paths closed",is innovative but unproven at scale and may face procurement friction compared to traditional seat-based or asset-based models.

The most plausible 18-month scenario is a race for early lighthouse customers in the Fortune 500 devsecops segment. The winner will be the company that first demonstrates a reduction in mean time to remediation (MTTR) for critical, exploitable paths at a major enterprise, thereby justifying its platform cost and operational model. If CYBRET AI can secure and publicly reference such a deployment, it could establish the category and attract a Series A to scale. The loser will be any player that remains in stealth or fails to transition from a technology demo to a validated, repeatable sales process with clear ROI. Given the early stage and similar funding profiles, the landscape could also consolidate, with the better-capitalized or faster-executing team acquiring the other's technology and talent.

Data Accuracy: YELLOW -- Competitor XBOW's stage and funding are confirmed via Tracxn. CYBRET AI's positioning and differentiator are from its own materials. The broader competitive segment analysis is inferred from the known vendor landscape.

Opportunity

PUBLIC

If CYBRET AI successfully executes on its vision of autonomous, reasoning-based cybersecurity, the prize is a foundational role in the next generation of enterprise defense, moving security operations from a reactive, human-led process to a proactive, machine-speed system.

The headline opportunity for CYBRET AI is to become the category-defining platform for autonomous security operations. The company is not positioning itself as another point solution for vulnerability scanning or SIEM alerting, but as an integrated system that connects exposure mapping, automated validation, and runtime detection on a unified knowledge graph. This architectural choice, to build a "single knowledge graph" for code, cloud, identity, and APIs, is a deliberate bet on semantic understanding over isolated rule sets [CYBRET AI, retrieved 2024]. The outcome would be a platform that doesn't just find problems but continuously proves exploitability and responds autonomously, a capability that directly addresses the overwhelming alert fatigue and manual toil cited as critical industry pain points. The early backing from established Nordic security and deep-tech investors like Visionaries Club and Skyfall Ventures, who have pattern recognition in scaling infrastructure software, provides a signal that the thesis is considered technically credible by informed capital [LinkedIn, June 2024].

Growth from its current pre-seed stage would likely follow one of several concrete paths. The company's public job postings for a Founding AI Engineer and a Founding Account Executive focused on the USA suggest an initial two-pronged strategy: deepen the core technology while beginning a targeted enterprise sales motion [MeetFrank, Feb 2026] [TealHQ, May 2026].

Scenario What happens Catalyst Why it's plausible
Platform Land-and-Expand CYBRET AI's Exposure Intelligence module is adopted as the standard for cloud-native attack surface management by mid-market tech companies, creating a wedge for its Validation and Runtime Detection products. A public case study with a well-known scale-up demonstrating a quantifiable reduction in mean time to remediation (MTTR). The product is already structured as a platform with three integrated modules, and pricing tiers are defined to scale with application count, indicating a built-in expansion model [CYBRET AI, retrieved 2024].
AI-Native Security Standard As AI agents become pervasive in both development and operations, CYBRET AI's reasoning engine becomes the de facto security layer for autonomous systems, moving beyond traditional human-in-the-loop SOCs. A major cloud provider (AWS, GCP, Azure) announces a partnership or marketplace spotlight featuring CYBRET AI's autonomous response capabilities. Founder Adrian De Gendt's participation in FR8 Cohort 1.0, which focused on securing AI, positions the company within a specialized, high-growth niche [adriandegendt.com, retrieved 2026]. The core messaging emphasizes "machine speed" and moving "beyond human only operations" [LinkedIn, June 2024].

Compounding for CYBRET AI would be driven by a data and reasoning flywheel. Each new environment the platform connects to enriches its central knowledge graph with unique code patterns, cloud configurations, and identity relationships. This expanding dataset improves the accuracy and context of the platform's semantic understanding, which in turn makes its autonomous validation agents more effective and its runtime detection more precise. The company claims its validation agents "continuously prov[e] exploitability" of surfaced paths [CYBRET AI, retrieved 2024]. If this closed-loop of detection, proof, and response operates reliably, it creates a strong technical moat: the system becomes more intelligent and harder to replicate as it ingests more diverse customer environments. Early evidence of this flywheel is not yet public, as the company has disclosed no deployment metrics, but the product architecture is explicitly designed to enable it.

The size of the win, should a platform land-and-expand scenario play out, can be contextualized by looking at established peers in adjacent categories. For instance, publicly traded cybersecurity companies focused on cloud security and vulnerability management, such as Tenable (market cap approximately $5.5B as of late 2025) or Rapid7 (acquired by private equity for approximately $3.1B in 2023), represent outcomes for scaled, platform-oriented security vendors [Public financials, 2025]. As a private, venture-scale company capturing a new paradigm of autonomous operations, CYBRET AI would target a valuation trajectory that reflects both the premium for AI-native infrastructure and the expansion potential of its integrated suite. A successful outcome would see the company valued as a critical, next-generation security platform, not just a feature. This is a scenario analysis, not a forecast.

Data Accuracy: YELLOW -- The opportunity analysis is based on the company's stated architecture and investor backing, but hinges on unproven execution and lacks public traction data to validate the proposed flywheel.

Sources

PUBLIC

  1. [LinkedIn, June 2024] CYBRET AI launch post | https://www.linkedin.com/posts/cybret_today-we-are-launching-a-new-era-of-autonomous-activity-7404490982739693568-knlb

  2. [CYBRET AI, retrieved 2024] CYBRET AI , From static to semantic application security | https://www.cybret.ai/

  3. [Nordic9, Dec 2025] Cybret AI in a pre-seed equity deal with Skyfall Ventures, ... | https://nordic9.com/news/cybret-ai-in-a-pre-seed-equity-deal-with-skyfall-ventures-wave-ventures-inception-fund-visionaries-club-fr8/

  4. [Tracxn, Dec 2025] Cybret | https://platform.tracxn.com/a/d/company/693f9ed6634eba04c94f51a6/cybret?utm_source=parallel&utm_medium=ai#a:about

  5. [adriandegendt.com, retrieved 2026] Adrian De Gendt | https://adriandegendt.com/

  6. [LinkedIn, retrieved 2026] CYBRET AI | https://se.linkedin.com/company/cybret

  7. [MeetFrank, Feb 2026] Founding AI Engineer - Cybret AI - Hybrid Remote | https://meetfrank.com/jobs/cybret-ai/founding-ai-engineer

  8. [TealHQ, May 2026] Founding Account Excecutive (USA) @ Cybret Ai | https://www.tealhq.com/job/founding-account-executive_7ea1a5bb6c46417d8624e131d0e222b6de560

  9. [Tracxn, 2025] XBOW | https://platform.tracxn.com/

  10. [MarketsandMarkets, 2023] AI in Cybersecurity Market | https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-security-market-220634996.html

  11. [MarketsandMarkets, 2024] Application Security Market | https://www.marketsandmarkets.com/Market-Reports/application-security-market-214323575.html

  12. [Public financials, 2025] Tenable and Rapid7 market data | https://finance.yahoo.com/

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