Quisitive, a global technology consulting company, announced it has earned the status of Microsoft Frontier Partner, a distinction reserved for an exclusive list of partners with deep expertise in leading AI transformation across the Microsoft Cloud. This milestone follows Quisitive’s achievement of the Microsoft Copilot Specialization, its 19th specialization, which validates Quisitive’s ability to implement and scale Microsoft 365 Copilot, customize solutions with Copilot Studio, and develop AI agents.

Quisitive Achieves Microsoft Frontier Partner Status for Secure AI Transformation, Following Copilot Specialization

The Microsoft Frontier Partner designation recognizes organizations that lead AI transformation through an AI-first, human-led approach, combining AI agents and human ingenuity to scale innovation and impact. To qualify, partners must hold three Microsoft Solutions Partner designations and specializations spanning Copilot, Data Security, and AI application development. Quisitive goes far beyond these requirements, holding all six designations and 19 specializations, reinforcing the depth of its Microsoft partnership and the strength of its AI leadership.

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This announcement coincides with the general availability of Microsoft 365 E7, Microsoft’s new Frontier Suite, which brings together productivity, AI, security, and identity in a single platform. As a Frontier Partner, Quisitive is uniquely positioned to help customers evaluate, adopt, and operationalize E7 across their organizations, from deploying Copilot and AI agents, to implementing the governance and security controls that make AI work at enterprise scale.

“Quisitive helps customers move from AI experimentation to scalable, measurable results. Starting with technology strategy, Quisitive architects systems with security and governance built in from the start, transforms data silos into AI-ready knowledge, and activates intelligence through agentic AI applications. These milestones validate the depth behind that approach,” said Jason Hudnall, Chief Revenue Officer at Quisitive. “We are very proud to be one of Microsoft’s few Frontier partners.”

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Quisitive is a global technology consulting firm helping organizations design and activate the technology systems that power measurable business outcomes in an AI-first world. With deep expertise across the Microsoft ecosystem, Quisitive connects strategy, data, security, and modern applications to help our customers compete, scale, and adapt as the pace of innovation accelerates.

ZINFI Technologies, Inc. is the #1 user and analyst-rated channel management and partner ecosystem management platform for technology and manufacturing companies and the industry leader in Unified Partner Management (UPM), delivering enterprise-grade solutions for Partner Relationship Management (PRM), Channel Management, Partner Marketing Management, Partner Ecosystem Management, and Partner Incentives Management. Today, ZINFI announced the general availability of its AI-native Partner Co-Selling Management application — the most comprehensive AI co-sell platform in the partner ecosystem management category — now live inside ZINFI’s Unified Partner Management (UPM) platform. ZINFI is rated 97/100 on G2 — the highest customer satisfaction score in the Partner Relationship Management category — for the 15th consecutive quarter since 2019, based on 600+ verified G2 reviews.

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Key Capabilities at Launch

• AI-driven partner discovery and match scoring across the channel ecosystem — surfacing the highest-fit partners for each named account in seconds rather than days, with confidence scoring on every match.
• Multi-persona architecture purpose-built for Global Admins, Partner Account Managers, channel partner sales reps, and Alliance/ISV partners — every persona working in the same 12-step co-sell flow, scoped to their role.
• Privacy-first mutual opt-in and reveal engine — channel partners and vendors match accounts without exposing customer lists, and only reveal overlap when both sides agree.
• Field-level visibility governance for every matched account — channel program admins control exactly what each persona sees, with role-scoped data access end-to-end.
• Unified Co-Sell Hub for collaborative deal execution — every joint deal lives in a shared cockpit with deal-anchored tasks, categorized notes, integrated multi-channel messaging, and bidirectional CRM sync to Salesforce and HubSpot.
• Tier-based price book automation for Platinum, Silver, Bronze, distributor (Storage, Value-Added DISTI), and referral routes — applied automatically at quote time, with multi-currency support.

Closing the Co-Sell Gap Across Channel and Partner Ecosystem Programs
The partner co-selling problem is well-documented across the channel ecosystem and the partner ecosystem management category. In ZINFI’s analysis of 200+ recent discovery calls with channel and partner ecosystem leaders, 78% of programs reported that “everything is manual right now” — co-sell tracking lives in spreadsheets, partner deal-status reconciliation runs through email threads, and joint pipeline visibility breaks down at every handoff between vendor and partner. For manufacturing companies operating dealer and distributor networks, the visibility gap is wider still: 51% of channel programs report no real-time visibility into what partners are doing in shared accounts.

ZINFI’s new AI co-sell platform closes both gaps. Built into the SELL zone of ZINFI’s 8-pillar Unified Partner Management framework — spanning Partner Strategy, Recruitment, Onboarding, Enablement, Marketing, Co-Selling, Incentives, and Profitable Growth Acceleration — the application orchestrates the full 12-step co-sell flow across every persona in the program. Whether a manufacturer is co-selling through a dealer network or a software vendor is co-selling through ISV, MSP, MSSP, and VAR partners, the co-sell motion now runs on a single platform with a single analytics layer, scoped by role. Unlike CRM-native tools, ZINFI is purpose-built for partner management — requiring no Salesforce customization.

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“Co-sell is the highest-leverage motion in modern channel management and the engine of every serious partner ecosystem management strategy — and yet, until today, it has been the most manually executed motion in the entire partner lifecycle. Spreadsheets, email threads, and CRM workarounds were never going to scale to the velocity that enterprise channel programs and partner ecosystems now require, especially when account privacy is non-negotiable. ZINFI’s AI-native Partner Co-Selling Management application is the first co-sell platform purpose-built for both manufacturing channel partners and modern technology partner ecosystems — with privacy-first match-and-reveal, multi-persona orchestration, and unified analytics scoped to every role. As enterprise companies move from program-led to AI-led co-sell over the next twenty-four months, the platforms that orchestrate match, reveal, and credit attribution at machine speed will define the winners.”

— Sugata Sanyal, Founder and CEO, ZINFI Technologies

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Meta projected that 10% of its 2024 revenue came from scams and banned goods, Reuters reported, with the social media giant internally estimating that its platforms show 15 billion scam ads a day. Meanwhile, our analysis of more than 100 million clicks found invalid click rates running about 50% higher than what Google reports. Both cases demonstrate the conflict of interest in fighting fraud.

The current model – where the platform giants act as both ad salesman and fraud policeman – is broken. In this new landscape, supercharged by increasingly autonomous bots, advertisers should no longer outsource fraud detection to the platforms that profit from it.

The ad fraud conflict of interest

At this point, fraud is more of a feature than a bug in digital advertising. Remember that most ad networks operate on a volume-driven revenue model in which every click, regardless of authenticity, contributes to the platform’s bottom line. Aggressively eliminating fraud would mean admitting their reach is smaller than marketed. These publicly traded companies face pressure to maintain traffic metrics and billable inventory. As a result, we’re more often seeing platforms catch the most obvious bots while sophisticated invalid traffic persists.

Meta’s leaked documents offer valuable insight into the inner workings. Internal memos revealed that enforcement teams track fraud but operate under strict guardrails on how to act on it. One review found the company ignored or rejected 96% of valid user reports flagging scam ads and the threshold for actually banning an advertiser required 95% certainty of fraud. Otherwise, anyone below that just got charged higher ad rates and kept running.

And actions against fraudulent advertisers were capped at 0.15% of revenue. This tells us that fraud is flagged but the bottom line matters in deciding what to do with it.

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The problem with self-reporting

A similar dynamic plays out with invalid clicks. For example, Google reports an average invalid click rate of 11.4%. Our independent analysis across 43,000 accounts, however, finds a rate of 17.8%. Adding to the issue, invalid click rates have doubled since 2010 thanks to the increased sophistication of AI-driven bots and ad fraud malware.

Since then, it’s become much harder to differentiate between human and bot engagement. This is because bad actors are using artificial intelligence and machine learning to create bots that pause on content and simulate scrolling, thereby mimicking human viewing behavior and making detection far more difficult. Additionally, they’re using malware to infect user devices, secretly drive traffic to scammer-controlled domains, and make it unclear whether ad clicks are coming from users or “ghost click farms”. In turn, ad fraud is only growing and marketers are losing about one in five dollars.

And downstream, bad data means autobidding starts chasing bot patterns and retargeting non-existent users. Google’s Smart Bidding, Performance Max, and automated campaigns start learning from signals that increasingly include traffic that isn’t real. The result is inflated cost per action (CPA), distorted return on advertising spend (ROAS), and budget being allocated to interactions that never convert. Data poisoning like this makes up look like down and down look like up.

The fact of the matter is that ad platforms have skin in the game. Right now, these corporations are essentially grading their own ad fraud homework with little incentive to accurately report the true scale and scope. It’s time for marketers to stand up for themselves and start treating every click as a security event worthy of independent verification.

How we restore accountability

We need to stop taking platform-reported analytics as gospel. Instead, the status quo demands due diligence with closer monitoring of user verification, behavioral analytics, and fraud scoring.

For example, teams can and should keep a closer eye on inflated CTRs without corresponding conversions, as well as on traffic spikes from unusual countries, to better understand actual performance. This foundation is then strengthened with independent fraud detection tools that analyze traffic patterns, device fingerprints, IP behavior, and engagement signals. These complementary solutions go a long way to creating an independent source of marketing truth.

Armed with this information, teams can better push back on the sophisticated invalid traffic they miss. And, by partnering with platforms that enable real-time metric monitoring, it’s also possible to block bad traffic before it enters the funnel and corrupts bidding, targeting, and forecasting data.

Practitioners need to go the extra mile to keep the tech giants honest. This way, we can refund more questionable clicks, show the platforms we’re watching, and better protect the integrity of campaign data.

About Fraud Blocker

Fraud Blocker, is a leading click fraud prevention software.

Ping Identity, a leader in securing digital identities for the world’s largest enterprises, announced a partnership with OLOID to deliver a passwordless, Verified Trust identity solution for the U.S. clinical healthcare workforce. As healthcare organizations face rising credential-based attacks and increasing pressure to eliminate passwords, the joint solution modernizes clinical workforce identity and access management by replacing access friction, lost badges, and account lockouts with verified onboarding, passwordless Tap-and-Login, and high-assurance account recovery. Ping provides the identity verification and trust layer, while OLOID delivers seamless Tap-and-Login access across clinical environments.

Clinicians today face mounting time pressure compounded by the friction of logging into shared devices, workstations, and EHR systems. At the same time, healthcare organizations are battling rising cyberattacks and impersonation risks, including organized schemes involving fraudulent clinical workers. Cyberattacks are increasingly impacting patient care, with 72% of healthcare organizations reporting disruptions and 29% reporting increased mortality rates, according to a recent industry report. Designed to mitigate unsafe workarounds and introduce adaptive assurance, the solution helps healthcare organizations reduce clinician downtime, improve productivity, and strengthen protection against credential-based attacks.

The joint solution introduces a passwordless, Verified Trust model for healthcare, where identity is continuously verified through credentials and adaptive assurance rather than static passwords. This approach extends beyond login to support trusted onboarding, seamless Tap-and-Login access across multiple low-friction authentication options, and secure account recovery. Clinician-held credentials can also be presented through mobile wallet experiences, including Apple Wallet and Google Wallet, where available.

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The joint solution supports the clinical workforce lifecycle across three core use cases:

• Verified Onboarding: Verify clinicians early, issue reusable verifiable credentials, and accelerate day-one access
• Verified Tap-and-Login: Deliver seamless, passwordless Tap-and-Login for shared workstations, shared accounts, and VDI-hosted EHRs
• Verified Recovery: Enable fast, high-assurance recovery for lost badges and locked accounts using adaptive verification and reusable credentials

Together, these capabilities enable healthcare organizations to deliver a consistent, seamless experience across both back-office and clinical workforce employees.

A Cloud-Native, Privacy-Preserving Approach
The 100% cloud-native SaaS solution replaces fragmented identity tools and legacy tap-and-go systems with a unified approach to verified onboarding, Tap-and-Login, and recovery, reducing reliance on on-premise infrastructure and legacy appliance overhead.

Ping Identity’s PingOne Verify is designed to give healthcare organizations control over their data, using minimal data collection and policies that support rapid deletion of Personally Identifiable Information (PII) following verification. Biometric verification is performed using a one-second passive liveness check at the edge, helping protect against deepfakes while preserving user privacy.

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“Healthcare organizations must balance speed of care with high-assurance security,” said Gaurav Sharma, VP Product Strategy, Workforce, Ping Identity. “By combining verified onboarding, seamless Tap-and-Login, and secure recovery, we’re reducing access friction while strengthening protection against credential fraud.”

“Together with Ping Identity, we’re delivering seamless Tap-and-Login as part of a broader Verified Trust approach across shared devices and EHR systems, so clinicians can access what they need quickly and get back to patient care,” said Madhu Madhusudhanan, Co-Founder & CTO, OLOID.

SlashID, the platform that secures every identity, announced the launch of AI Identity Governance.  This represents the identity access graph’s first native governance capability. Through its identity access graph, SlashID enables customers to extend visibility, access control, and lifecycle policies from traditional users and service accounts to AI applications, agents, and MCP servers. This approach eliminates the governance gap and addresses Shadow AI—the most rapidly expanding source of unmanaged access to corporate data today.

The release arrives after SlashID’s analysis of the April 2026 Vercel security incident, in which attackers compromised an employee’s Google Workspace account through a malicious OAuth 2.0 application originating from a third-party AI tool. Traditional governance platforms, built for SaaS applications with predictable lifecycles, cannot keep pace with AI tools. These tools are installed in seconds, inherit broad OAuth scopes, and often connect further downstream via MCP and agent frameworks.

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“AI governance is fundamentally about identity and entitlements,” said Vincenzo Iozzo, SlashID’s Co-Founder. “Every time an employee authorizes a new AI assistant, connects an MCP server, or hands a task to an autonomous agent, they are effectively creating a new non-human identity with access to corporate resources. Security teams need the same visibility, policy enforcement, and lifecycle controls for those identities that they already have for users and service accounts — and they need it today, not after a year-long IGA re-platforming project.”

Enterprises are investing heavily in point solutions for AI security — DLP proxies, prompt firewalls, and CASB-style shadow AI discovery. These tools operate in isolation from the identity fabric, produce alerts without the context needed to act on them, and cannot answer the core governance question: which identities, human or non-human, can reach which resources through which AI applications. The result is that the same OAuth grant patterns that caused the Vercel breach remain unmanaged in most organizations.

SlashID’s AI Identity Governance solves these challenges with three core capabilities:

• Unified Visibility Across the AI Identity Surface: Continuous discovery of OAuth 2.0 grants issued to AI applications, MCP servers, shadow AI usage surfaced through the SlashID Browser Extension. It also covers models hosted on Amazon Bedrock, Azure OpenAI, and equivalent CSP-native services. The Access Graph models OAuth scopes as first-class edges, so security teams can see not just that a user connected to an AI app, but exactly which mailboxes, drives, calendars, or repositories that app can reach.
• Policy-Based Access Control for AI Applications and Agents: Allows teams to permit, restrict, or disable access to specific AI applications, model providers, or agentic identities using any attribute in the graph. Define rules once — for example, preventing HR or finance personnel from authorizing consumer AI tools — and enforce them continuously across the joiner-mover-leaver lifecycle, with a full audit trail for SOC 2, ISO 27001, and HIPAA reporting.
• Continuous Segregation-of-Duties Enforcement: Security teams can express toxic combinations as saved Access Graph queries — for instance, “identities with access to regulated customer data that also hold active grants to external LLMs.”  These queries can be scheduled to automatically trigger remediation workflows, such as revocation, MFA step-up, ticket creation, or Slack notifications. The same primitive powers a range of AI-specific SoD policies without requiring a separate product.

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Unlike standalone AI security tools, SlashID’s AI Identity Governance operates at the identity graph layer, governing AI applications with the same primitives used for SaaS, cloud, and on-premise entitlements. It requires no changes to how employees use AI, no inline proxies, and no additional agents. The solution is available today to SlashID customers at no additional cost as part of the existing Identity Governance and Administration product, covering every major identity provider, cloud, and SaaS platform SlashID already integrates with.

Those distinctions will become increasingly important. Done well, regulation can protect users, foster competition and sustain innovation. Done poorly, it risks entrenching the dominance of the largest technology platforms. In many ways, those same platforms are already best positioned to shape and absorb regulatory change, potentially leaving everyone else at a disadvantage.

The sheer momentum of AI to date makes it easy to feel helpless in the face of such a technological revolution. How can any of us hope to help shape and guide the ways in which AI is to unfold?

Fortunately, the digital media industry has faced a similar inflection point before in its recent history. The journey towards cookie deprecation offers a valuable lesson, and perhaps a blueprint, for what comes next.

The Privacy Sandbox experience

When browsers began phasing out third-party cookies, it triggered a wave of uncertainty and, in some cases, outright panic across the digital ecosystem. Advertisers, publishers and ad tech vendors all faced the challenge of maintaining addressability and monetisation while ensuring user privacy. Google’s Privacy Sandbox initiative was the most notable attempt to strike that balance.

The Privacy Sandbox was not perfect, but its intent is instructive. Rather than abruptly removing a foundational technology and leaving the ecosystem to adapt overnight, it introduced a standards-based framework designed to evolve over time. It sought input from across the industry (including publishers, advertisers, developers and regulators) and aimed to create privacy-preserving alternatives that could support the economic model of the open web.

One could argue that Google could deprecate cookies, as Apple did, and introduce its own unique way of targeting users in Chrome. Instead, it opened up the discussion with the ecosystem around collaboration and iteration. This created a space, however imperfect, for broader participation and conversation, demonstrating that large-scale ecosystem change can be coordinated by consensus rather than imposed.

The cookie deprecation process made it clear that simply “switching off” a core capability at scale is not viable. Sudden changes risk destabilising publishers who rely on advertising revenue, limiting the ability of smaller tech providers to compete, and forcing advertisers into narrower, less transparent buying environments. Meaningful progress required frameworks that could be refined in real time, informed by data and shaped by those operating across the ecosystem, not only those at the top of it.

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Regulating agentic AI

Today, the digital media industry faces a parallel moment with the rise of agentic AI. These systems are increasingly acting as intermediaries between users and the digital world. It’s shaping what content is discovered, which products are surfaced, and how decisions are made. In effect, they are becoming gatekeepers to information, commerce, and attention.

As control over these systems concentrates in the hands of a few large players, questions around transparency, fairness and access become more urgent. Regulation is clearly necessary, but it must be approached with care.

A “sandbox approach” to AI regulation, at its core, means developing standards collaboratively across the industry, rather than imposing rigid rules from the top down. It also necessitates creating environments where new approaches can be tested, evaluated and iterated before being scaled. Finally, it requires that any regulation evolves alongside the technology it seeks to govern.

Large technology platforms have a critical role to play in this process. As with the Privacy Sandbox, companies like Google have the scale, data and infrastructure to help develop and test new approaches. But with that role comes responsibility. Their contribution should be to support industry-wide solutions, not to define the rules in isolation.

Collaboration, transparency and iteration

There are already signs that the stakes are rising. As AI systems become more embedded in advertising, commerce, and content discovery, brands need to collaborate effectively with chat interfaces, which act as intermediaries, and with end users. Without clear and collaborative frameworks, the risk is that regulation, however well-intentioned, ends up reinforcing the very dynamics it seeks to address.

The transition from cookies to privacy-first alternatives showed that the industry is capable of navigating complex change. It also showed that the process matters as much as the outcome. As AI becomes the primary interface for digital decision-making, those same principles must guide the next phase of regulation. Collaboration, transparency, and iteration are not just desirable; they are essential.

A sandbox approach offers a way to balance innovation with accountability, and competition with control. The window to get this right is narrow; fortunately, the blueprint already exists.

About PrimeAudience

PrimeAudience (an RTB House company) is a, AI-driven, privacy-focused adtech platform designed to boost client acquisition and enhance targeting. It uses Generative AI to create custom audiences, reducing ad costs by up to 80% and providing up to 40-60% identity resolution of website visitors without relying solely on third-party cookies

As 44% of users worry about AI acting without approval, Shift AI delivers context-aware intelligence, on the user’s terms

Shift, the world’s first fully customizable browser, announced the launch of Shift AI, a context-aware, privacy-focused AI experience built directly into the browser. Designed to reduce friction across workflows, Shift AI delivers real-time intelligence without forcing users to sacrifice control, privacy or choice.

As AI features rapidly proliferate across browsers, many are being introduced as defaults without clear controls or transparency. Shift AI is optional by design, allowing users to decide when, how, and if AI is part of their workflow.

“AI shouldn’t live in another tab. It should live where you work and it should work on your terms,” said Michael Foucher, Vice President of Product and Customer Success at Shift. “Shift AI is designed to reduce the friction of everyday work while ensuring users stay in control of their data, their experience, and their workflow.”

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AI That Works With You – Not Around You

Shift AI is an adaptive, context-aware system embedded directly into the browser, while remaining fully under user control. Shift AI introduces capabilities designed to streamline how users navigate tasks, tools, and information:

• Context-Aware AI — Understands active tabs and page content to deliver relevant answers without manual prompting
• Intelligent Omnibox — Seamlessly routes queries between search and AI automatically, reducing friction and decision fatigue
• Workflow Continuity — Keeps related tasks connected, eliminating disruptive tab switching
• Privacy- First Architecture — requests are proxied through Cloudflare’s Privacy Proxy and authenticated via the Privacy Pass protocol to protect users from persistent tracking or exposing their identity

AI Adoption Is Growing—But Control Is the Missing Piece

Findings from Shift’s 2026 AI Consumer Insights Survey of more than 1,400 adults highlight a growing disconnect between AI usage and user trust:

• 32% of users engage with AI daily
• 53% say it improves their experience
• 44% worry AI could act without their approval

The data reveals a clear tension: while AI adoption continues to accelerate, users are increasingly concerned about control, transparency and data privacy.

“Users aren’t rejecting AI, they just want control,” Foucher added. “The next phase of AI is about putting the user back in charge.”

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Purpose-Built, Customizable, and User-Controlled
Shift AI is designed for professionals who rely on the browser as their primary workspace, including developers, founders, creatives, consultants, tech professionals and multi-tasking consumers.

Built into the browser architecture, Shift AI enables highly customizable experiences and deeper integrations across tabs, apps, and workflows. This flexibility is key, as 51% of hybrid workers and tech professionals want greater control over how AI operates, reinforcing the need for user-driven experiences.

Privacy and Control by Design

To support a more transparent and user-controlled AI experience, Shift partnered with Cloudflare, to build an architecture that protects users’ privacy without sacrificing performance. By proxying requests through Cloudflare’s Privacy Proxy, users’ identities are separated from their AI queries. Users maintain full control over AI functionality at all times, with the ability to opt in, customize features, or disable them entirely.

Reimagining the Browser for the AI Era

With Shift AI, the browser evolves from a passive interface into an intelligent, customizable workspace—bringing together apps, profiles, and workflows into a single, unified experience designed to reduce digital overload and improve focus.

Company is now 100% channel-led under leadership of VP of Worldwide Partners & Alliances Timm Hoyt

Sublime Security, the agentic email security platform, announced the launch of its channel partner program. Now operating as a 100% channel-led company, the program is designed for exceptional partner success in expanding the reach of Sublime’s industry-first approach to email security. This launch represents a significant investment in building a world-class partner ecosystem, including new enablement resources, dedicated channel leadership, robust recurring margins and incentives, and a long-term commitment to selling with and through these trusted advisors.

The program is led by Timm Hoyt, VP of Worldwide Partners & Alliances, a seasoned channel executive whose career spans transformative partner-led growth initiatives at organizations including Sumo Logic, Druva, and PagerDuty. Hoyt has built a reputation for turning partner-convenient models into partner-centric engines, and is applying that expertise to build one of the industry’s most deliberate and relationship-driven programs.

“Email threats are evolving at machine-speed and our customers need a security solution that prioritizes speed, transparency, and organization-specific protection which traditional email security vendors cannot provide,” said Hoyt. “Customers are frustrated with legacy secure email gateways that are complex, expensive, and ineffective against modern phishing, business email compromise (BEC), and socially-engineered attacks. Partners are a critical component in alleviating those burdens, and our channel program provides partners with the education, training, and support they need to exceed customer demands.”

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Core elements of Sublime’s channel partner program include:

• A Partner-First Go-To-Market Motion: Sublime is committing to partner-led opportunities and aligning its sales organization to support, not compete with, partners.
• Expanded Partner Program with Predictable Margins: Prioritizing healthy recurring margins, deal protection, and performance incentives designed to drive partner profitability.
• Dedicated Partner & Alliances Leadership and Resources: Investment in partner sales managers, system engineers, strategic alliances, marketing, and enablement teams focused exclusively on partner success.
• Enhanced Technical Enablement & Training: Enablement resources include accreditation programs, hands-on technical training, sales playbooks, and joint marketing resources to accelerate partner ramp time.
• Co-Marketing & Demand Generation Support: Sublime provides high-impact co-marketing programs, joint campaigns, and content support to help partners drive quality pipeline in a crowded cybersecurity market.

“Email continues to be one of the most common and impactful entry points for cyberattacks, and organizations are looking for more modern approaches to protecting their users and data,” said Mark Thornberry, SVP Partnerships at GuidePoint Security. “We’re excited to work with Sublime Security as they expand their channel program and bring their innovative approach to email security to more organizations. Programs that invest in partner enablement and collaboration ultimately help customers deploy stronger defenses against evolving threats.

“We look for partners who truly understand our differentiators, have a firm grasp of the cybersecurity landscape, have credibility in bringing new vendors to market, and who absolutely believe that incumbent email security providers cannot keep up with modern attacks,” added Hoyt. “We’re committed to working with strategic partners who can grow with us and where we’ll provide mutual benefit.”

This announcement follows a year of tremendous momentum for Sublime Security. In November, the company raised $150M in Series C funding to accelerate its agentic AI capabilities. Between April and September of 2025, Sublime released its first two AI agents: Autonomous Security Analyst (ASA) which investigates and triages threats in seconds, freeing teams from manual review and Autonomous Detection Engineer (ADÉ) which deploys new, tailored defenses to combat novel threats in hours, ending the vendor bottleneck delays that leave organizations exposed.

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Additional perspective from Sublime’s partner ecosystem:

“Security teams are under tremendous pressure to stop increasingly targeted email attacks without adding operational burden. Email is still by far the number one attack vector,” said Alpesh Shah, VP, Security Strategic Alliances at Myriad360. “Sublime Security stands out because it brings automation, transparency, and adaptability to a category long dominated by legacy approaches. Their new channel partner program reinforces a clear commitment to building with partners, and we’re excited to collaborate on bringing this innovative platform to market.”

“As AI accelerates the sophistication of phishing and social‑engineering attacks, organisations need email security that can adapt just as quickly. That’s why our partnership with Sublime Security is so exciting,” said Luke Kiernan, Head of Cyber Security at Bytes Software Services. “The transparency of the platform and the speed at which new protections can be deployed stand out. Their partner‑first approach and investment in enablement make it clear they see partners as a true extension of their business. We’re thrilled to bring this next generation of email security to our customers.”

New Q1 2026 “Agentic Commerce Pulse” survey from Riskified reveals a growing trust gap in agent-driven commerce, as consumers embrace AI across the shopping journey but remain hesitant to hand over control amid concerns over fraud, security, and accountability

New feature validates credential use at the point of entry, helping enterprises stop phishing attacks before credentials are exposed

Keeper Security, the leading zero-trust and zero-knowledge identity security and Privileged Access Management (PAM) platform, announces the release of Verify Mode, a new anti-phishing capability in version 17.8 of its browser extension. Verify Mode provides real-time validation of where credentials are being entered, helping prevent users from entering passwords into malicious or unrecognized websites.

As phishing attacks continue to grow in sophistication and frequency, credential theft remains one of the most effective paths for unauthorized access into enterprise systems. According to research from Verizon, 60% of breaches involved a human element, such as credential abuse or phishing scams. Modern organizations operating across cloud, hybrid and remote environments face increasing exposure to these threats. The new, optional Verify Mode introduces an active control at the point of credential entry, reducing reliance on user judgment alone.

“Phishing attacks succeed by targeting the moment that users enter their credentials,” said Darren Guccione, CEO and Co-founder of Keeper Security. “Even well-trained employees can be deceived by convincing, malicious websites. Verify Mode changes that by validating credential use in real time, ensuring passwords are only entered on trusted domains. It shifts credential security from passive storage to active protection.”

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Real-Time Protection Against Credential Misuse

Verify Mode monitors password paste activity in the browser and verifies that the destination site matches the corresponding record stored in the user’s Keeper Vault. If a mismatch is detected, users receive an immediate warning before credentials are submitted, with clear details and the option to proceed or cancel.

Verify Mode includes configurable protection levels to align with organizational risk tolerance:

• Medium: Alerts users when credentials copied from the vault are pasted into a different site than the one saved
• High: Warns users when a password is pasted into any site not stored in the vault
• Maximum: Requires confirmation before pasting passwords on any site, including trusted ones

These controls allow security teams to balance strong protection with a seamless user experience across roles and environments.

Extending Zero Trust To Credential Usage

Verify Mode extends Keeper’s zero-trust approach beyond credential storage to real-time enforcement of credential usage. By validating every interaction, organizations gain stronger control over how and where credentials are used.

Key enterprise benefits include:

• Reduced risk of credential-based attacks: Stops phishing at the point of entry
• Stronger security posture: Enforces continuous validation aligned with zero-trust principles
• Enhanced compliance readiness: Demonstrates enforcement of secure credential practices
• Reduced human error: Mitigates one of the leading causes of breaches

Verify Mode further bolsters Keeper’s unified identity security platform, which combines password management, secrets management, endpoint privilege management, AI-powered threat detection and privileged access controls into a single, cloud-based solution designed for modern enterprise environments.

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As identity-based attacks continue to target users across SaaS applications, cloud and remote environments, organizations need real-time controls. Verify Mode delivers this protection directly at the point of credential use without disrupting the user experience.

Other features in Browser Extension release 17.8 include prompting users to disable the built-in browser password manager and support for custom fields. Upon first login or installation of the KeeperFill Browser Extension, a prompt will appear asking users to set Keeper as their default password manager. This optional step prevents interference from the browser’s native password manager, guaranteeing the best possible autofill experience without requiring manual adjustments.

Users can now also add custom fields directly to records from the browser extension, no longer requiring a switch to the web vault for editing. An unlimited number of custom fields can be added and easily reordered using drag-and-drop, similar to the existing feature on web and mobile vaults. These fields can store sensitive information, like security questions, PINs or private notes regarding logins, and are masked by default for privacy.