Artificial intelligence is fundamentally rewriting the rules of cyber defense. The companies leading this transformation are compressing response times from hours to seconds, replacing manual analyst workflows with autonomous agents, and tackling attack surfaces that legacy tools were never built to see. From exploit intelligence to AI-powered identity governance, these are the scale-ups building the security stack that enterprises will run on for the next decade.
Companies are listed in alphabetical order. This list is non-exhaustive.
1. BEDROCK DATA Headquarters: Menlo Park, CA | Total Funding: ~$25M+
Bedrock Data operates on a premise that AI has made unavoidable: data must sit at the center of enterprise security strategy, not at the edge of it. Its core product, the Metadata Lake, is a continuously updated graph knowledge base that discovers, classifies, and contextualizes data across on-premises, cloud, SaaS, and AI environments — surfacing exposure, closing least-privilege gaps, and reducing risk at petabyte scale without moving data outside customer boundaries.
Following a $25 million Series A led by Greylock in November 2025, Bedrock launched ArgusAI, a capability that gives organizations direct transparency into what data AI models and agents are accessing during training and inference. Named a Fortune Top 50 Cybersecurity Company and a SINET16 Innovator, the company has built a partner ecosystem that includes Sysdig, Wiz, and Panther. Its core thesis — that 82% of cybersecurity professionals have critical gaps in finding and classifying their own data — is less an indictment of individual teams than of an industry that has been building around the wrong layer for years.
2. BOLD SECURITY Headquarters: New York, NY | Total Funding: ~$40M
Bold Security emerged from stealth in March 2026 with $40 million and a thesis that the endpoint has been fundamentally misunderstood: not a perimeter to guard, but an intelligent agent to activate. Its platform puts AI directly on enterprise edge devices, monitoring what workers and AI tools are actually doing in real time and reducing risk at the point of action rather than the point of detection.
Backed by Bessemer Venture Partners, Picture Capital, and Red Dot Capital, Bold had already landed Fortune 500 customers before its public launch. The company’s argument is direct: cloud-heavy security models don’t scale when the risk is sitting on the device in front of the employee.
3. CLOVER SECURITY Headquarters: Tel Aviv, Israel (NY offices) | Total Funding: ~$36M
Clover Security was founded on the observation that most security tooling still tries to catch vulnerabilities after they’ve been written — an approach that was already too slow before AI coding tools arrived, and is now functionally obsolete. Clover embeds AI agents directly into the developer tools where decisions actually happen: Confluence, Jira, GitHub, Cursor, and Slack — detecting design flaws and applying security principles before code is ever committed.
The company raised $36 million in November 2025, led by Notable Capital and Team8, with backing from Wiz co-founders, Cato Networks founder Shlomo Kramer, and executives from Snyk, CrowdStrike, Palo Alto Networks, and Atlassian. The caliber of that angel list is itself a signal: Clover’s approach — treating product security as a design-time problem, not a post-deployment audit — is exactly the model the people who built the last generation of security companies wish they had started with.
4. CORRIDOR Headquarters: San Francisco, CA | Total Funding: ~$30.4M
Corridor addresses a gap in AI-assisted software development: the tools writing the code have no security context whatsoever. The platform guides AI coding tools in real time, preventing security flaws before they’re written rather than scanning for them afterward — a model built on the lessons of the Secure By Design initiative at CISA, which worked with Microsoft, Google, and other major vendors to prevent known vulnerability classes from reaching production.
Corridor raised a $5.4 million seed from Conviction in August 2025 and a $25 million Series A led by Felicis in March 2026, reaching a $200 million valuation. Current customers include Cursor, Mercury, and Sublime Security — companies themselves at the vanguard of AI-native software development.
5. CYLAKE Headquarters: Sunnyvale, CA | Total Funding: ~$45M
Cylake’s founding thesis is a pointed critique of where the industry has landed: AI-driven cybersecurity cannot work if all the sensitive operational data flows through a public cloud infrastructure that governments, critical infrastructure operators, and regulated enterprises are prohibited from using. The company is building a comprehensive AI-native cybersecurity platform designed for full data sovereignty, deployable on-premises or in a private cloud.
Cylake emerged from stealth in March 2026 with $45 million in seed funding led by Greylock. For governments, militaries, and enterprises with strict data residency requirements, Cylake’s architecture is not a product preference — it’s a compliance necessity.
6. HUMANIX Headquarters: San Francisco, CA | Total Funding: ~$18M
Humanix defends against what has become one of the most impactful and least-addressed attack vectors in enterprise security: social engineering. Not phishing emails or malicious links, but live interactive manipulation — attackers calling a help desk, impersonating an executive, pressuring an agent into resetting multi-factor authentication or approving a fraudulent payment. A single such attack cost one organization over $100 million. Virtually every major breach of the past several years involved some version of it.
The platform deploys conversational AI trained on cognitive psychology and natural language attack patterns to monitor live interactions across voice, chat, email, and service channels in real time — flagging manipulation tactics, impersonation attempts, pressure techniques, and policy violations as they happen. Humanix raised $18 million in combined Seed and Series A funding in November 2025, and was named one of the Top 10 finalists for the RSAC 2026 Innovation Sandbox in early 2026.
7. ONYX SECURITY Headquarters: New York, NY & Tel Aviv, Israel | Total Funding: ~$40M
Onyx Security builds what it describes as a secure AI control plane for the agentic era. The problem is structural: as enterprises deploy hundreds of autonomous AI agents across engineering, operations, customer service, and finance, the tools built to govern predictable human-driven workflows simply cannot see or control what those agents are doing.
Onyx’s platform centers on the Guardian Agent — a supervisory AI that discovers and monitors every agent across an organization’s SaaS, cloud, endpoint, and code repository environments, enforcing policies in natural language and intercepting risky actions in real time. The company launched publicly in March 2026 with $40 million from Conviction and Cyberstarts, a 70-person team, and Fortune 500 customers already in production. At launch, the platform had secured over 137,000 AI agents, covering 593,000 employees, across 10 million analyzed sessions.
8. OPTI Headquarters: New York, NY | Total Funding: ~$20M
Opti’s AI-native IAM platform replaces the manual access reviews, brittle workflow rules, and fragmented tools that have defined the identity and access management category with a context-aware engine that continuously monitors and governs every identity — human, non-human, and agentic — across the enterprise. The platform delivers real-time detection of identity vulnerabilities, validated least-privilege recommendations, and agentic orchestration of access corrections with human oversight.
Opti raised a $20 million seed round in November 2025, led by YL Ventures, Mayfield Fund, and Hetz Ventures, and is already deployed at large enterprises across finance, healthcare, retail, and technology. In a market where 80% of breaches involve compromised or abused identities and only half of enterprises rate their current IAM tools as effective, the timing is difficult to argue with.
9. ORION SECURITY Headquarters: New York, NY & Tel Aviv, Israel | Total Funding: ~$38M
ORION Security was built in direct response to the failure mode of traditional DLP: policy-based tools that flood teams with false positives, cost more to maintain than they cost to license, and never actually prevent a data leak. ORION replaces that model entirely, using five proprietary AI agents to analyze every data movement in real time — capturing business context, data sensitivity, user identity, behavioral patterns, intent, and environmental purpose — to determine whydata is moving, not just that it is moving.
The company raised a $32 million Series A in February 2026, led by Norwest and backed by IBM, bringing total funding to $38 million. Customers already include LinkedIn, American Express Global Business Travel, and Elastic. ORION claims a 96% reduction in false positives and continues to expand across finance, healthcare, and technology.
10. PROPHET SECURITY Headquarters: Palo Alto, CA | Total Funding: ~$41M+
Prophet Security’s Agentic AI SOC Platform delivers what the SOC industry has discussed for years and largely failed to produce: a truly autonomous AI analyst that triages, investigates, and responds to security alerts without human intervention. The platform has reduced mean time to response tenfold, cut false positives by 96%, and completed over one million autonomous investigations across its customer base — saving an estimated 360,000 hours of analyst time. One CISO reported reducing alert volume from 33,200 events requiring attention down to six.
Prophet raised a $30 million Series A led by Accel in July 2025, followed by a strategic round from Amex Ventures and Citi Ventures in February 2026 — institutional validation from two of the most scrutinized financial sector security programs in the world. The AI SOC market is projected to grow from $1.6 billion to over $5.6 billion by 2032, and Prophet has positioned itself at its center.
11. RECLAIM SECURITY Headquarters: New York, NY | Total Funding: ~$26M
Reclaim Security moves enterprises from detection to actual execution — combining AI-driven automation with business-aware simulation to eliminate exposures before attackers can exploit them. Its diagnosis of the market is pointed: most AI-labeled remediation tools are selling “Prioritization 2.0” and calling it agentic remediation. If your remediation strategy ends with a human reviewing a Jira ticket, you have already lost the race against AI-enabled adversaries at a moment when 80–90% of some AI-orchestrated espionage campaigns are executed autonomously.
Reclaim raised $26 million in March 2026, including a $20 million Series A led by Acrew Capital. The company emerged from stealth in April 2025 and has already attracted enterprise customers across North America and Europe.
12. RILIAN TECHNOLOGIES Headquarters: McLean, VA | Total Funding: ~$17.5M
Rilian Technologies addresses a gap that rarely gets named directly: the distance between where the best cybersecurity capabilities exist — Silicon Valley, Tel Aviv, Northern Virginia — and where they actually get deployed. Governments, militaries, and critical infrastructure operators most need advanced security capabilities but operate in environments that commercial security platforms were never built for.
Rilian’s Caspian platform functions as an agentic security orchestration layer that sits above an organization’s entire security stack, deploying pre-trained AI agents into air-gapped, sovereign cloud, and compliance-constrained environments where internet-connected commercial tools are off the table. The company raised $17.5 million in seed and seed extension funding in April 2026, led by 8VC, First In, and Tamarack Global. Its first publicly disclosed customer is the UAE Cybersecurity Council, which has deployed Caspian across its National Security Operations Center. Partners include SentinelOne, Censys, and SimSpace.
13. RUNSYBIL Headquarters: San Francisco, CA | Total Funding: ~$40M
RunSybil tests software the way a sophisticated attacker actually operates — dynamically, without seeing source code, chaining vulnerabilities across a live stack to find the paths to sensitive data. Its AI agent does what existing tools cannot: simulate real exploitation behavior in production-like environments rather than running static pattern matches against known signatures.
RunSybil raised $40 million in March 2026, led by Khosla Ventures with participation from Anthropic’s Anthology Fund, Menlo Ventures, S32, and Conviction. Current customers include Cursor, Notion, Turbopuffer, and undisclosed Fortune 500 financial institutions. The company reports over 90% fewer false positives than conventional scanners, and has detected critical vulnerabilities that had repeatedly escaped both bug bounty programs and traditional penetration testing.
14. SCANNER.DEV Headquarters: San Francisco, CA | Total Funding: ~$22M
Scanner built a security data lake that indexes logs directly in customers’ own S3 buckets, enabling search across petabytes of data in seconds at 80–90% lower cost than legacy SIEMs. The problem it solves is structural: the tools that can search logs fast are prohibitively expensive at scale, while the cheap object storage where most logs actually live is too slow for real incident response. Security teams routinely operate with blind spots — dropping log sources and truncating retention windows not because it’s the right call, but because the pricing model leaves them no choice.
Scanner raised a $22 million Series A in March 2026, led by Sequoia Capital with participation from CRV and Mantis VC. Sequoia’s framing was direct: AI is notoriously data hungry, and Scanner is building the only technology that manages security data at AI scale.
15. VULNCHECK Headquarters: Lexington, MA (EMEA HQ: Cheltenham, UK) | Total Funding: ~$45M
VulnCheck was built around an uncomfortable observation: the vulnerability management industry has been designed for a world where disclosure and exploitation happen on different timescales — and that world no longer exists. According to VulnCheck’s own research, 32% of vulnerabilities in its Known Exploited Vulnerabilities dataset were exploited on or before the day of CVE disclosure, an increase of 36% year-over-year. The prioritization frameworks security teams rely on are systematically looking backward.
VulnCheck closes this exploitation-timing gap by delivering machine-consumable, evidence-driven intelligence on when vulnerabilities become exploitable and how attackers actually weaponize them — aggregating data from over 500 sources and refreshing multiple times per day. Enterprise ARR grew 557% year-over-year. Government ARR grew 306% in the same period. EMEA ARR grew 319% year-over-year, supporting the establishment of a new European headquarters in Cheltenham, UK. VulnCheck now counts over 13,000 vendors, practitioners, and vulnerability management teams as users of its community tier.
This was a brief overview of the huge AI cybersecurity landscape. If there’s a company you think belongs on this list, reach out to our editorial team and we will make sure they are included on the next one.
