New York City runs on data that attackers want: trading systems, bank ledgers, patient records, media archives and the customer files of thousands of fast-growing startups. The city is also one of the most regulated places in the world to do business, with the New York Department of Financial Services cybersecurity regulation setting expectations that go well beyond a yearly checklist. AI has raised the stakes. Attackers now use it to write convincing phishing in seconds, map exposed cloud assets at scale and turn a newly published flaw into a working exploit faster than most patch cycles allow.
The good news for local buyers is that New York has become a real center for security vendors and service firms, not just a place where they open sales offices. Several of the companies that define their categories, from cloud security to security ratings, were founded or are headquartered in Manhattan, and many of them sell to the same banks, insurers and media groups that sit a few blocks away.
This list covers ten cybersecurity companies headquartered in New York City. It mixes platforms and service providers, because most security programs need both. If you want a national view, see our list of the top cybersecurity companies, and if you mainly need testing, our guide to penetration testing companies in New York goes deeper on that service.
| Company | Headquarters | Best For | Core Services |
| Wiz | New York, NY, USA | Cloud-first companies on AWS, Azure and Google Cloud | Cloud security platform (CNAPP), code security, cloud detection and response, AI security posture |
| Trail of Bits | New York, NY, USA | Software, blockchain and AI teams that need deep technical review | Security assessments, cryptography review, blockchain audits, AI and ML assurance, open-source tooling |
| Kroll | New York, NY, USA | Organizations facing a breach, ransomware event or regulatory investigation | Incident response, digital forensics, managed detection and response, breach notification, offensive security |
| BlueVoyant | New York, NY, USA | Microsoft security customers and firms with large supplier networks | Managed detection and response, supply chain defense, digital risk protection, security operations |
| SecurityScorecard | New York, NY, USA | Risk and procurement teams measuring vendor security | Security ratings, third-party risk management, supply chain detection and response, threat intelligence |
| Axonius | New York, NY, USA | Security and IT teams that lack an accurate asset inventory | Cyber asset management, exposure management, SaaS management, policy enforcement |
| Noma Security | New York, NY, USA | Companies rolling out AI agents and MCP servers across the business | AI security posture management, agent access control, AI detection and response, AI red teaming |
| Claroty | New York, NY, USA | Manufacturers, utilities and hospitals securing connected machines | OT security, IoT and medical device security, secure remote access, exposure management |
| Cyera | New York, NY, USA | Cloud and SaaS-heavy companies that need to find and control sensitive data | Data security posture management, data classification, data loss prevention, AI data security |
| Dataminr | New York, NY, USA | Security and risk teams that need early warning of emerging threats | Real-time event and risk detection, cyber threat intelligence, third-party and digital risk alerts |
Wiz is a cloud security company headquartered in New York that connects to cloud accounts through APIs and builds a graph of every workload, identity, data store and network path without installing agents. That graph lets it show which misconfigurations, vulnerabilities and exposed secrets actually combine into an attack path, so teams can fix the few issues that matter instead of working through thousands of alerts. The platform has grown to cover code scanning, cloud detection and response, and posture management for AI services and models running in the cloud.
The biggest change for buyers is ownership. Google completed its acquisition of Wiz in March 2026, and buyers on AWS or Azure should confirm the multi-cloud roadmap with their account team. It is the strongest fit for engineering-led companies with large multi-cloud estates that want one view of cloud risk shared by security and development teams. Smaller firms with a single cloud account may find a lighter tool, or the native controls of their provider, easier to justify. For more options, see our list of cloud security companies.
Trail of Bits is a New York security research and engineering firm known for reviewing difficult code: cryptographic libraries, compilers, smart contracts, operating system components and machine learning systems. Its engagements go beyond a standard penetration test. Engineers read source code, build custom fuzzers and static analysis rules, and hand back findings with the tooling needed to stop the same class of bug from returning. The firm also offers AI and ML security assurance for teams shipping models and agents into production.
What sets Trail of Bits apart is how much of its work is public. It maintains widely used open-source security tools and publishes detailed research, which gives buyers a clear view of how its engineers think before they sign anything. Its Buttercup system, an AI-driven tool that finds and patches vulnerabilities, competed in the DARPA AI Cyber Challenge. It is best for product companies, protocol teams and AI developers who need expert eyes on a critical codebase, rather than buyers looking for a quick compliance report.
Kroll is a New York-based risk and financial advisory firm with a large cyber practice that handles incident response, digital forensics and managed detection and response. When a company is hit by ransomware or a data theft, Kroll can contain the attack, investigate what was taken, and then run the notification and call center work that follows a breach. That end-to-end coverage matters because many incidents turn into legal and regulatory problems long after the technical cleanup is done.
Kroll is often brought in through cyber insurers and outside counsel, which means its teams are used to working under legal privilege and tight timelines. Its managed detection and response service suits firms that want the same team watching their environment day to day that would respond if something went wrong. It is a natural fit for financial services, healthcare and professional services firms with real regulatory exposure. Every company should prepare before an event, and our guide on incident response companies explains what to agree in a retainer.
BlueVoyant is a managed security company headquartered at 6 East 45th Street in Manhattan. Its core service is managed detection and response, with analysts monitoring customer environments around the clock and acting on threats. The company has built much of that service around Microsoft Sentinel and Microsoft Defender, so organizations that already pay for Microsoft security licenses can get more value from them without hiring a full internal security operations center.
BlueVoyant also looks outward. Its supply chain defense service monitors the vendors a company depends on and works with those suppliers to fix the issues it finds, rather than only producing a risk score. Its digital risk protection service watches for brand impersonation, fake domains and leaked credentials. It is a strong fit for mid-market and enterprise firms that run on Microsoft and want MDR and third-party monitoring from one provider. Buyers comparing MDR options should ask how much of the response work the provider will do itself.
SecurityScorecard is a New York company that rates the security of organizations from the outside, using internet-wide scanning and threat data to grade things like exposed services, patching cadence and leaked credentials. Risk, procurement and compliance teams use those ratings to decide which vendors need a closer look, to track suppliers over time, and to show boards and regulators how third-party risk is being managed. Companies can also use the ratings to see their own score the way customers and insurers see it.
The platform has moved beyond a single score. SecurityScorecard now offers supply chain detection and response, which flags when a vendor shows signs of compromise so teams can act quickly, and its threat research team publishes findings on large breaches and attack campaigns. It suits enterprises with hundreds or thousands of suppliers and regulated firms that must document vendor oversight. Buyers should treat outside-in ratings as a starting signal, then confirm critical vendors with questionnaires and evidence.
Axonius is headquartered at 41 Madison Avenue in New York and solves a basic but stubborn problem: most companies cannot say exactly which devices, users, cloud resources and SaaS apps they have. The platform connects to hundreds of existing tools, such as endpoint agents, directories, cloud consoles and vulnerability scanners, and correlates their data into one inventory. That reveals gaps like laptops missing endpoint protection, unmanaged cloud instances or former employees who still hold active accounts.
Axonius has expanded from inventory into exposure management, helping teams rank vulnerabilities by what the affected asset is and who owns it, and into enforcement, where it can open tickets or trigger fixes automatically when a policy is broken. It is a good fit for mid-size and large organizations with sprawling IT estates, mergers to absorb or audits that keep exposing inventory gaps. If your main concern is external exposure, an attack surface management platform may be a better first purchase.
Noma Security works out of 368 9th Avenue in Manhattan and builds what it calls an agent security and governance platform. Its AI-SPM module discovers the AI agents, MCP servers, skills and tools in use across an organization and shows the risks attached to each one, which is often the first time a security team sees how many agents employees and developers have connected to company systems. Agent Access Control then lets the team approve or block those agents and limit what each one can reach.
The rest of the platform covers what happens after deployment. AI-DR monitors agent behavior at runtime to catch manipulation or misuse, and an AI red teaming module attacks agents and AI applications to find weaknesses before an attacker does. Noma is a good fit for enterprises where AI adoption has run ahead of governance and the security team needs an inventory and a set of controls quickly. Companies that only use one or two packaged AI assistants may not need a dedicated platform yet.
Claroty is a New York-headquartered company focused on cyber-physical systems: the industrial controllers, building systems, medical devices and other connected equipment that keep factories, utilities and hospitals running. These systems were rarely designed with security in mind, often cannot run standard endpoint agents, and can be dangerous to scan the way IT networks are scanned. Claroty builds an inventory of these assets using passive monitoring and integrations, identifies exposures, and detects threats specific to industrial and clinical environments.
Its product line includes a platform for industrial and commercial environments and a healthcare offering for hospitals that need to protect medical devices, along with secure remote access for vendors and technicians who maintain equipment. Claroty is a strong fit for manufacturers, energy and water operators, and health systems with large fleets of connected devices. Pair it with specialist OT testing before major plant or network changes.
Cyera is a data security company headquartered in New York that helps organizations find and classify sensitive data across cloud platforms, SaaS applications and on-premises stores. It uses AI-based classification to identify personal, financial, health and proprietary data with business context, then shows where that data is exposed, over-shared or stored in places it should not be. Security teams use that view to prioritize fixes and to prove data controls to auditors.
Cyera has extended its platform from posture management into data loss prevention and controls for how employees and AI tools use sensitive information, which matters as companies connect copilots and agents to internal data. It is a good fit for fast-growing, cloud-first companies that have lost track of where customer data lives, and for enterprises modernizing older data protection programs. Buyers with large on-premises file estates should confirm coverage for those systems during a trial.
Dataminr is a New York company that uses AI to detect breaking events and risks from a very large range of public data sources, including social media, news, the deep and dark web, and technical feeds. Corporate security, cyber and risk teams use its alerts to learn about new vulnerabilities, leaked data, attacks on suppliers and physical threats to offices or staff earlier than they would through traditional channels.
For cybersecurity teams, the value is speed and context. Dataminr can flag chatter about a newly exploited flaw, a ransomware group naming a vendor, or exposed credentials tied to a company domain, giving defenders time to act before an incident lands in their own environment. It works best as an intelligence layer feeding a security operations center rather than a replacement for detection tools. It suits large enterprises, global brands and public sector agencies that track both cyber and physical risk.
New York buyers have more options than almost anywhere else, which makes it easy to buy overlapping tools. These questions help narrow the field.
Platforms like Wiz, Axonius, Cyera and Noma Security give your team visibility and control, but someone still has to act on what they find. Service firms like BlueVoyant and Kroll supply people who monitor, investigate and respond. Many mid-size companies get the best results from a small number of platforms paired with one managed service, rather than many tools nobody has time to run.
If you are a bank, insurer or other firm regulated by the New York Department of Financial Services, ask each provider exactly which requirements its product or service supports, such as asset inventory, access controls, third-party risk or incident reporting. Ask for sample reports you could hand to an examiner. A vendor that cannot map its output to your obligations will create extra work at audit time.
Many vendors list a Manhattan address, but the people doing your work may sit elsewhere. That is not always a problem, but for incident response, onsite forensics or board briefings it helps to know who will show up and how fast. Ask where the analysts, engineers and account leads for your contract are based.
Ask how the product or team detects attacks that use AI, such as highly targeted phishing or automated scanning, and how it helps you govern your own AI tools. Data access is a common gap: if a copilot can read every file a user can reach, over-shared data becomes an AI problem. Look for concrete features and examples, not general claims.
License price is only part of the cost. Factor in the staff time to deploy and tune a platform, integrations you will need to build, and the alerts someone must review each day. Ask for a proof of value in your own environment with clear success criteria, and talk to a reference customer of a similar size.
New York is home to companies that cover nearly every part of a modern security program, from cloud and data security to managed detection, incident response and supplier oversight. Start with your biggest gap, whether that is not knowing what you own, not knowing where sensitive data lives, or not having anyone watching at night, and pick the provider that closes it with the least overlap with what you already run.