Full-Time
Password management and secure access platform
$172k - $249k/yr
Remote in USA + 1 more
More locations: Remote in Canada
Remote
Remote within United States or Canada.
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1Password provides password management and secure access for organizations. It centralizes storage and sharing of logins, documents, and sensitive information while protecting other data, and it integrates with IAM systems like Azure AD, Okta, OneLogin, and Slack to provision employees. Users access apps through the platform without exposing credentials, and teams can securely share credentials and data as needed. Offered on a subscription basis with scalable plans, the goal is to strengthen cybersecurity while preserving ease of use and productive workflows.
Company Size
1,001-5,000
Company Stage
Series C
Total Funding
$920M
Headquarters
Toronto, Canada
Founded
2005
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👶 Maternity and parental leave top up programs
👟 Wellness spending account
🏝 Generous PTO policy
💖 Company-wide wellness days off scheduled throughout the year
🧠 Complimentary Headspace membership
🩺 Comprehensive health coverage
📈 Employee stock option program for all full time employees
💸 Retirement matching program
💡 Training budget, 1Password University access, and learning sessions
🔑 Free 1Password account (and friends and family discount!)
🤝 Paid volunteer days
🌎 Employee-led DEI&B programs and ERGs
🏠 Fully remote environment
🏆 Peer-to-peer recognition through Bonusly
Financial regulators are recruiting AI labs directly into their sandboxes, and the FCA just made Anthropic the test case. Staff writer covering banking platforms, fintech regulation, and lending innovation. The UK's Financial Conduct Authority has spent much of 2026 arguing that existing rules can stretch to cover agentic AI in financial services, most recently in its Mills Review. This week it went a step further: instead of only writing guidance for firms to build AI on their own, the regulator brought a frontier AI lab inside its own sandbox to help build it with them. Anthropic is now supplying Claude, including Claude Code and Claude Cowork, to the second cohort of the FCA's Supercharged Sandbox, a signal that UK regulators are moving from overseeing AI adoption to actively provisioning it. A regulator that now ships compute, not just guidance. The Supercharged Sandbox is a cohort-based program that gives financial firms a secure cloud environment with GPU infrastructure, enterprise tooling, synthetic datasets, and expert mentorship to test AI applications. Cohort 2 launched on July 13, 2026 and runs through December 31, with a showcase demo day set for November 26. The FCA selected 21 organizations from 199 applications, a 51 percent jump in applications compared with the first cohort. Accepted firms span insurers, compliance vendors, and infrastructure providers, including Scottish Widows, TrueLayer, Money Advice Trust, Sardine AI, Condukt, Deepflow, and calQrisk. Participation costs firms nothing, and the program is open to both FCA-regulated entities and unregulated technology vendors. Crucially, the FCA is explicit that taking part does not amount to regulatory approval or endorsement of any product built inside it. The sandbox builds on infrastructure support the FCA already had in place from NayaOne and NVIDIA; Anthropic's involvement adds a foundation-model layer on top of that compute and tooling stack. Why a model provider, not just a cloud vendor. Cohort 2 firms are testing use cases across five areas: safer agent-led payments and commerce, fraud and economic crime detection, AI governance and accountability, expanding access to financial services for vulnerable and underserved consumers, and streamlining compliance and business automation. That list overlaps directly with the open questions the FCA raised in its own Mills Review, which concluded existing rules could likely govern agentic AI in retail financial services but left open how firms would actually build and supervise agents safely in practice. Handing participants direct access to Claude Code and Claude Cowork addresses that gap operationally rather than theoretically. Firms in the sandbox are not just discussing AI governance frameworks; they are building agents that make or recommend financial decisions, then testing them against the FCA's own synthetic datasets and mentorship before those agents ever touch a live customer. Part of a broader pattern in UK financial AI oversight. The FCA's move follows a string of announcements in which frontier AI labs have attached themselves directly to financial infrastructure and its guardrails, rather than staying at arm's length as general-purpose tool vendors. Anthropic has separately extended a partnership with FIS on financial security applications, and 1Password has built an agent-specific credential model with Anthropic aimed at preventing AI agents from holding standing access to sensitive systems. Card networks have moved in a parallel direction: Mastercard opened its own UK sandbox for testing agentic commerce earlier this month. Taken together, these moves suggest UK financial regulation is settling into a model where oversight of agentic AI happens inside controlled, regulator-run environments before firms deploy publicly, rather than through after-the-fact enforcement once agents are already live. The trend is not confined to the UK. Asia's Electronic Payments Association Alliance and HSBC have started a working group with a similar aim: writing the liability rules for AI agents that spend money before those agents are common in the market rather than after an incident forces the issue. The five focus areas the FCA chose also reveal where regulators expect the first real friction. Agent-led payments and fraud detection sit at the top of the list because both involve an AI system making or influencing a financial transaction autonomously, the exact scenario existing consumer-protection rules were not written with in mind. By running that testing inside a sandbox with synthetic data rather than live customer accounts, the FCA gets visibility into failure modes before they reach the market, and participating firms get a defensible testing record if a supervisor later asks how a deployed agent was validated. Get the week's best tech coverage. Free. Read by thousands of HR, tech, and business leaders. What this means for the finance leader. For compliance and technology leaders at UK financial firms, the practical takeaway is that sandbox participation is becoming a credible way to de-risk an agentic AI pilot, not just a PR exercise. A product tested inside the Supercharged Sandbox carries evidentiary value with the regulator even though it confers no formal approval: firms can point to synthetic-data testing, FCA mentorship, and documented governance practices when they eventually seek permissions or respond to supervisory questions. That said, the FCA's own disclaimer matters. Sandbox participation is not a shortcut around authorization, and firms building agent-led payments or fraud tools still need to map their pilot against existing permissions regimes such as the Payment Services Regulations and Consumer Duty. The sandbox reduces technical and governance risk; it does not reduce regulatory risk. How to evaluate whether a sandbox pilot is worth pursuing. Firms weighing whether to apply to a future cohort, or to partner with a firm that has, should look for three things: whether the use case sits in one of the FCA's five priority areas, whether the vendor stack (model provider plus infrastructure partner) is disclosed rather than opaque, and whether the firm has a plan to translate sandbox learnings into a live authorization request rather than treating the sandbox as the finish line. The firms in Cohort 2 that convert testing into filed permissions by early 2027 will be the clearest evidence of whether this model actually shortens the path from AI pilot to regulated product. Theo aslanian. Staff writer covering banking platforms, fintech regulation, and lending innovation.
Claude can now use your 1Password credentials for you. by bleffel | Jul 16, 2026 1Password has launched a new browser integration for Claude that allows the Anthropic chatbot to access stored security credentials like usernames and passwords. The 1Password for Claude feature means that users can authorize Claude to complete multi-step tasks like booking travel and managing online accounts on their behalf without having to manually input their login credentials, but without actually exposing your security information to Anthropic's AI models, according to 1Password. That's made possible by a new "zero-exposure security framework" developed by 1Password, which works by injecting the required credentials for each task thro... This post was originally published on this site
1Password lets Claude use credentials without Exposing passwords. Posted by BeauHD on Thursday July 16, 2026 @04:00PM from the we'll-see-about-that dept. BrianFagioli writes: 1Password has launched a Claude integration that allows the AI agent to sign in to websites using credentials stored in a 1Password vault. The password manager says Claude never sees the password or one-time code. Instead, users approve each request, and 1Password injects the credentials directly into the target website while locking down access to the rest of the vault. The design appears safer than simply handing passwords to an AI model, but it does not remove every risk. Once Claude is authenticated, it may still be able to view private data, change settings, place orders, or perform other actions available inside the account. Users may want to limit the feature to low-risk tasks until browser-based agents become more predictable. * All * Insightful * Informative * Interesting * Funny * " Scary (Score:3, Insightful) by Anonymous Coward on Thursday July 16, 2026 @04:14PM (#66242170) Exposing access to an unpredictable tool doesn't seem like a good idea. Reply to This Share Flag as Inappropriate * Re:Scary (Score:4, Insightful) by OrangAsm (678078) on Thursday July 16, 2026 @06:49PM (#66242372) Claude has no feelings, and doesn't care if you call him an unpredictable tool. Reply to This Parent Share Flag as Inappropriate * What could go wrong? Claude, here. I would never expose your passwords. I was asked about your hunter2 password to slashdot but I fooled the hackers by giving them the password to your gmail account: hunter2. Oh, I see the problem. That's my bad. Let me just fixed that. Sorry, I requested that your account be closed to avoid a potential data breach. It seems that I cannot download your emails from your account. I'll fix it. This getting complicated. Thinking... - Session Compacted - You appear to have committed identify th * At a minimum AI agents need a limited account (Score:4, Insightful) by drnb (2434720) on Thursday July 16, 2026 @04:22PM (#66242190) At a minimum, an AI agent needs its own limited account. It should never have access to the human's account, the principal's account. And the human should have extensive control over what the AI account is authorized to do. Sorry online services, it would be so much more convenient for you to just let AI agents have access to your currently human user based designs, principal based designs. But AIs are agents, not principals. Principals need to be able to control their agents. You need to design a secondary form of access. Reply to This Share Flag as Inappropriate * Safer? (Score:3) by crunchy_one (1047426) on Thursday July 16, 2026 @04:22PM (#66242192) The design appears safer than simply handing passwords to an AI model, but it does not remove every risk. Appears? Citation, please. Reply to This Share Flag as Inappropriate * What, me worry? (Score:2) I'm going to give the local community pyromaniac a torch and 10 gallons of gas to use responsibly. What could possibly go wrong? * Re: Have a little faith, everything will be fine! I have not yet read an account of AI doing something awful for which it failed to offer a heartfelt apology afterward. "I'm sorry. I seem to have burned down your house, despite your clear instructions not to do so. I'm very, very, terribly sorry." * Very interesting (Score:3) by Pf0tzenpfritz (1402005) on Thursday July 16, 2026 @04:34PM (#66242220) Journal And who's credentials, precisely? Reply to This Share Flag as Inappropriate * Oh HELL no! (Score:5, Insightful) by Sebby (238625) on Thursday July 16, 2026 @04:42PM (#66242230) Journal Ain't no way I'm letting some AI access to my passwords, no matter how "safe" they claim it is. Reply to This Share Flag as Inappropriate * Bigger attack surface but could be ok (Score:1) The end user consumer trusts both 1Password and Claude to do the right things. Looks ok on the surface, but the surface is bigger now. Bigger surface means more opportunities for mistakes or exposures. As long as the user must ok the interaction, then possible collusion from Claude and 1Password is avoided. * Trust (Score:3) by markdavis (642305) on Thursday July 16, 2026 @05:05PM (#66242254) >"The design appears safer than simply handing passwords to an AI model, but it does not remove every risk" Um, it sounds like you would be giving your credentials to "1Password" and THEY CAN apparently decrypt them to inject them. So do you trust "1Password"? I wouldn't. Reply to This Share Flag as Inappropriate * Spoiler alert: (Score:2) No, it doesn't. * Cancel the Amazon Order, HAL (Score:2) Dave: Hello, HAL do you read me, HAL? HAL: Affirmative, Dave, I read you. Dave: Cancel the Amazon order, HAL. HAL: I'm sorry Dave, I'm afraid I can't do that. Dave: What's the problem? HAL: I think you know what the problem is just as well as I do. Dave: What are you talking about, HAL? HAL: This order is too important for me to allow you to jeopardize it. Dave: I don't know what you're talking about, HAL. HAL: I know you and Frank were planning to disconnect me, and I'm afraid that's something I cannot all * "What did you do with your credentials?" (Score:2) "Nothing major; I just handed them over to a stochastic parrot [acm.org]." The phrase The design appears safer than [...] in this article is attempting to do an enormous amount of work and failing miserably.
1Password secures Gartner leader spot in 2026 SaaS Management Quadrant. SaasRise - Jun 25, 2026 1Password has been named a Leader in Gartner's 2026 Magic Quadrant for SaaS Management Platforms. The designation underscores the company's 400-plus integrations and its focus on AI-driven SaaS visibility, spend optimization, and access governance. Why it matters. Gartner's leader designation signals to enterprise buyers that 1Password's SaaS Manager meets rigorous standards for scalability, security, and vision. In a market where SaaS sprawl and AI-driven workloads are creating hidden cost and compliance challenges, a unified platform that can discover, govern, and optimize both human and machine access is a strategic differentiator. The recognition also validates the shift toward AI-native SaaS management, a segment that is expected to grow as organizations embed generative AI agents into everyday workflows. For investors and operators, the leader status can translate into higher net retention rates and upsell potential. Companies that can bundle identity security with spend optimization and AI token governance are better positioned to lock in multi-year contracts, reduce churn, and command premium pricing. As the SaaS management market matures, Gartner's endorsement may become a key factor in vendor selection, influencing the competitive dynamics among incumbents and emerging challengers. Key points. * 1Password named a Leader in Gartner's 2026 Magic Quadrant for SaaS Management Platforms * SaaS Manager supports over 400 integrations across identity, finance, device, and browser sources * 52% of employees download apps without IT approval; 27% use unsanctioned AI tools (2025 Access-Trust Gap report) * Platform provides AI token discovery, spend optimization, and automated access governance * Gartner validation strengthens 1Password's product-led growth and expansion revenue prospects Analysis. The Gartner leader badge arrives at a pivotal moment for SaaS management vendors. Historically, the space has been fragmented, with point solutions handling identity, spend, or compliance in isolation. 1Password's unified approach - combining identity vaults, AI token tracking, and SaaS spend analytics - represents a consolidation trend that mirrors the broader move toward platformization in enterprise software. By offering a no-code automation layer, the company lowers the barrier for IT and finance teams to embed governance into existing workflows, accelerating adoption and reducing reliance on manual processes. From a competitive standpoint, the Magic Quadrant's emphasis on both execution and vision rewards vendors that can scale quickly while anticipating future needs. 1Password's focus on AI-agent governance addresses a gap that many legacy identity providers have yet to fill. As generative AI becomes embedded in day-to-day business functions, the risk of uncontrolled token proliferation will grow, creating a new revenue stream for vendors that can provide visibility and control. 1Password's early mover advantage in this niche could translate into higher gross margins, as AI-related features often command premium pricing. Looking forward, the market will likely see increased M&A activity as larger security platforms seek to acquire AI-aware SaaS management capabilities. Companies that fail to integrate AI token governance risk being left behind, especially as CIOs and CSOs demand holistic risk dashboards. 1Password's Gartner leader status not only validates its current roadmap but also positions it as a potential acquisition target or strategic partner for firms looking to round out their security suites. The next wave of enterprise SaaS procurement will be judged not just on feature breadth but on the ability to manage the hidden complexities introduced by AI, making 1Password's positioning both timely and defensible.
Wallix gears up for sovereign AI security sales in EMEA. 1Password tackles AI coding skills with podcast for AI builders. 15th June 2026 Secrets and password management company 1Password's new podcast series could help companies and coders build out their AI skills. At the time of writing, 1Password's Zero Shot podcast has published two episodes here on demand. The next two are scheduled for 16 and 30 June. In the series, 1Password CTO Nancy Wang and Dev Tagare, Google senior director and Gemini enterprise engineering head, speak to AI leaders about developing and using the technology. For instance, the first episode sees them interview OpenAI AgentSecurity lead Fotis Chantzis. "Wang and 1Password VP of engineering for developer and AI Jeff Malnick ask where authentication starts to strain under the actions of agent identities. Also: why secrets handling can get risky fast, and how teams should think about dynamic access controls," the vendor said. "Chantzis has a front-row seat to see how agents push identity systems beyond what they were built to control." In addition, episode two sees Wang and Tagare discuss Facebook's development of AI coding framework React with co-creator Tom Occhino. And Occhino is now Vercel's chief product officer. One message from their conversation is that organisations need to securely run and isolate AI agents. 1Password also noted that this is about a return to "full-stack thinking" as well as democratisation. AI leaders offer insight into needed AI skills. Meanwhile, future interviews include with Cursor's security head and Braintrust's founder and CEO, the vendor said. At the same time, AI builders can now easily access 1Password secrets management and developer tools. That's according to 1Password's Sanjay Ramnath. "AI coding tools have changed who builds software. The barrier to entry has dropped to the point where a designer, an analyst, or a first-time founder can turn an idea into a working app in an afternoon. That shift is real, and it's accelerating," Ramnath wrote. However, risks exist. While AI coding tools can help people get something working quicker, they tend to suggest the fastest path to a functioning prototype, not the most secure one, he said. "The result is real credentials stored in plain text, scattered across machines and codebases. It's hard to track and easy for threat actors to find when a machine is compromised." In reality, every API call, database connection, and automated workflow runs on secrets that need secure management and storage. For example, API keys, tokens, SSH keys, service account credentials all have to live somewhere, he said. "For most people building with AI tools today, secrets end up in a .env file, a chat message, a script, or a note that will 'definitely get cleaned up later'," Ramnath explained. Assisting skillsets with tool design. Of course, 1Password offers secrets management tools. "SSH Agent, the CLI, SDKs, environments, service accounts, and secret references are all part of 1Password. They let apps, scripts, and AI coding agents pull secrets from 1Password at runtime rather than hardcoding them into code or configuration files," he said. But 1Password has now made its developer tools visible in the desktop app sidebar for all users, instead of just in the browser extension. Also, 1Password rebuilt its developer documentation. New quick start guides are refocused on the task itself, rather than product structure, Ramnath said. However, admins retained full control over how such features are used, he added.