However, this rapid wave of automation has exposed a severe structural flaw in enterprise defense strategies. Traditional security frameworks rely on static, “point-in-time” authorization. When an administrative system or a human user logs in, they are granted a token that remains trusted for hours. When a fast-moving, multi-step AI agent inherits that static token, it gains unrestricted access to move laterally through an environment without any ongoing context-aware security checks.

To neutralize this growing structural vulnerability, cybersecurity pioneer CrowdStrike unveiled Continuous Identity for AI Agents at the Identiverse 2026 conference.

By discarding static permissions in favor of real-time, risk-aware authorization tracking, the release aims to rewrite the playbook for the Cybersecurity and Identity Governance industry. It forces a complete reassessment of how modern enterprise systems establish and verify digital trust.

The News: Hardening the Agentic Perimeter

The core advancement behind CrowdStrike’s new feature—which leverages technology from its strategic acquisition of identity startup SGNL—is the complete elimination of standing privileges for software workloads. Instead of trusting an active application indefinitely, the Falcon platform continuously evaluates every single action an AI agent attempts to perform.

The security architecture addresses complex non-human identity risks through several distinct layers:

Cryptographically Verifiable Identity: Every autonomous agent is assigned a secure, automated workload identity grounded in the open-source SPIFFE (Secure Production Identity Framework for Everyone) standard, eliminating vulnerable, static API keys.

Context-Preserved Authorization: When an agent queries a database or passes a task to a sub-agent, the platform tracks the full history of the action. It evaluates who owns the parent agent, who triggered the request, and the real-time security posture of the active device.

Falcon AI Detection and Response (AIDR): The platform continuously monitors prompt intents and system commands. If an autonomous model attempts to move outside its logical scope or exhibits malicious behavior, the platform revokes its access permissions instantly.

Also Read: LTM Launches BlueVerse for iRun to Disrupt Traditional IT Managed Services 

Transforming the Cybersecurity and Identity Governance Market

The introduction of continuous, behavioral authorization for digital agents creates fundamental shifts across the broader identity verification and access management landscape.

The Evolution of Zero Trust from Human to Machine Identities
For the past decade, identity threat detection and response (ITDR) vendors focused primarily on securing human users via multi-factor authentication (MFA) and single sign-on (SSO) portals. CrowdStrike’s announcement signals that non-human identities (NHIs) are now the primary battleground for enterprise security. Because autonomous software agents move significantly faster and touch more core system layers than human employees, the cybersecurity industry must quickly pivot toward continuous runtime verification across all digital workloads.

Forcing Interoperability across Security Standards
By anchoring its identity engine to open standards like SPIFFE and joining coalitions like the OpenID Foundation, CrowdStrike is actively challenging the closed, proprietary security silos built by individual public cloud providers. In an era where companies routinely distribute workloads across multiple multi-cloud environments, independent security layers must remain completely neutral. This framework forces competing security vendors to prioritize open data sharing, enabling real-time risk signal exchange across diverse IT infrastructures.

Broad Operational Impact on Enterprise Businesses

For enterprise corporations leveraging autonomous AI networks to drive digital efficiency, embedding continuous identity guardrails yields clear commercial advantages.

Mitigating the Risk of Unmonitored Agent Exploitation
When organizations grant high-level privileges to autonomous agents without real-time oversight, they risk opening deep, hidden pathways into sensitive corporate environments. Attackers can exploit vulnerable code paths or use prompt injection tactics to hijack an agent’s access, using its trusted status to exfiltrate proprietary data or plant malware. Deploying continuous identity checks eliminates this risk. It ensures that even if an internal model is compromised, its access is bounded and dynamically revoked the millisecond anomalous behavior is detected.

Assuring Regulatory and Legal Data Compliance
For sectors which are highly regulated like banking, healthcare and defense manufacturing, one of the must operational requirements is to maintain strict data governance. Conventional compliance setups demand detailed audit trails that show clearly who have accessed the sensitive information and for what purpose. Deploying autonomous agents via a centralized, continuous identity control plane ensures risk officers in the organization an unchangeable record of each model decision, tool call, and data interaction. This visible audit feature enables the top management of the enterprise to welcome the efficiency gains from AI innovations with a high level of trust while also adhering to strict international privacy regulations and preserving corporate equity.

The post CrowdStrike Targets Autonomous Risks with Continuous Identity Architecture for AI Agents appeared first on ITDigest.

The introduction of the new product is in fact a natural development of the 1Password vault infrastructure on which the world-wide 180,000+ enterprises have been relying for security so far, among them the technology giants like GitHub MongoDB Salesforce, and Wiz. Since it acts as a dynamic, real-time middleman at the exact time of access request, the platform does a great job in eliminating the deeply ingrained security risks of having unencrypted secrets stored inside corporate applications, codebase repositories, production pipelines, and automated agent workflows.

Mitigating Secret Sprawl and Credential Leaks in the Modern Enterprise

The digital landscape has changed drastically over the last twenty years. Security teams have stopped only managing login credentials for humans accessing corporate systems through browser portals. Nowadays, an enterprise’s environment is thoroughly distributed and is maintained by various interconnected elements including continuous integration and continuous delivery (CI/CD) pipelines, cloud-native workloads microservices non-human service accounts, and AI agents all of which work automatically for business continuity.

But, since all these different entities must have the proper permissions to perform the automated functions, quite often security teams end up embedding the hardcoded long-lived secrets straight into the application files repositories configuration scripts, and environment variables that are running in the background. This widespread copying makes credentials exceptionally difficult to govern, rotate, and audit, significantly expanding an organization’s attack surface.

1Password Credential Broker directly resolves this structural vulnerability by changing the core mechanics of secret management. Rather than pushing static, vulnerable data packages out to various tools and decentralized environments, enterprises can maintain a centralized, immutable source of truth within their encrypted vaults. The software evaluates the contextual legitimacy of each inbound request in real time, delivering the approved asset only when an active workflow requires it.

“1Password has always been the place enterprises trust to keep credentials safe. The next step is making that same source of truth work for every credential, whether it is requested by a person, a workflow, or an AI agent,” said Nancy Wang, CTO at 1Password. “The 1Password Credential Broker is about closing the gap between where credentials are protected and where access happens. It helps organizations move away from credentials copied across environments and toward credentials brokered from 1Password, based on trusted identity and logged delivery.”

Also Read: BlueVoyant Launches GenAI Security Architecture to Automate Threat Defense

Key Operational Capabilities and Enterprise Benefits

The implementation of this brokered security architecture introduces a highly repeatable, defensible model for access governance across enterprise engineering and operations teams:

Minimization of Static Credentials: Systematically reduces the reliance on persistent, hardcoded secrets inside repositories, service accounts, and cloud pipelines, shrinking the available blast radius for external threats.

Cryptographic Identity Verification: Validates unique, trusted identity signals before releasing any stored assets, beginning with specialized GitHub Actions workload identities during the initial phase.

Just-in-Time Access Delivery: Transports approved tokens and authentication artifacts precisely when an operational step occurs, preventing credentials from sprawling permanently into plaintext configuration logs.

Comprehensive Compliance Auditing: Generates a highly detailed, chronological audit trail tracking all inbound requests, validation metrics, and delivery events to satisfy corporate regulatory demands.

Unified Security Standardization: Consolidates human, machine, and autonomous agent validation loops under a single, cohesive security platform, replacing fragmented legacy tools.

Maintaining a Zero-Knowledge Trust Architecture

The underlying mechanism relies on a fundamental security principle: credentials must remain completely hidden and encrypted in plaintext environments until an explicit, verified request occurs. During an active GitHub Actions session, for example, the pipeline transmits automated identity signals directly to the broker platform. The system cross-references these digital signatures against the organization’s pre-configured trust relationships, granting temporary access only after successful verification.

Crucially, the entire system integrates seamlessly into 1Password’s signature zero-knowledge security architecture. The environment is engineered so that 1Password’s external cloud infrastructure never retains persistent visibility into a client’s private keys or sensitive master data. Instead, customer-managed cryptographic materials and real-time identity signals work together to ensure that no single infrastructure entity can unilaterally view or leak corporate secrets.

A Unified Platform Blueprint for Enterprise Access Management

The debut of the broker system represents a key milestone in the broader roll-out of 1Password® Unified Access—a comprehensive platform vision aimed at securing the diverse credentials, identities, and connections linking modern human personnel, operational applications, cloud machinery, and digital workers.

While 1Password Credential Broker specifically manages where corporate secrets reside and how they are securely transmitted to verified actors, the company’s recent strategic acquisition of Apono addresses a separate, critical layer of the access lifecycle. Apono’s technology focuses on governance, defining what a verified identity is explicitly permitted to do inside an upstream system and enforcing strict time boundaries on those privileges. Together, these two architectural pillars enable modern businesses to transition away from scattered credentials and siloed access controls toward a highly integrated, automated, and centralized corporate security framework.

The post 1Password Launches Credential Broker to Standardize Identity Security for Humans, Machines, and AI Agents appeared first on ITDigest.

Purpose-built for the demands of high-trust, relationship-driven community banking, Glia AI Outreach helps banks and credit unions proactively connect with customers and members through outbound voice and SMS messages regarding important financial moments CD renewals, loan payment reminders, new account opportunities and more.

“For many community financial institutions, proactive outreach is difficult to scale,” said Justin DiPietro, Glia’s chief strategy officer and co-founder. “Teams are stretched thin, and manual outreach takes time they don’t have. Predictive dialers don’t fully solve the problem because they consume valuable frontline capacity while delivering low contact rates, with as many as 80% of calls going unanswered or landing in voicemail. As a result, many regional and community institutions decide it’s just not practical to consistently engage customers and members before key opportunities or risks emerge.”

Glia AI Outreach leverages a range of AI agents trained for high-impact banking scenarios where proactive outreach can benefit both the customer and the institution. The solution can initiate outbound conversations automatically, answer common questions in real time, handle objections and seamlessly transfer qualified opportunities to human representatives with full conversational context preserved:

Also Read: Macrobond Launches AI Data Feed with MCP and Skill, Bringing Governed Macroeconomic Intelligence to Enterprise AI Workflows

• For deposit retention, Glia AI Outreach contacts customers and members with upcoming CD and share certificate maturities, helping them understand their renewal options before they consider moving their funds elsewhere. Often, financial institutions lack the staff capacity to manually handle large renewal lists, which can lead to missed opportunities for strengthening relationships and retaining deposits. With automated outreach, institutions can reliably engage every eligible customer without adding operational strain.
• For deposit growth, the solution helps financial institutions turn indirect loan borrowers into broader banking relationships through proactive outreach regarding deposit products and primary accounts. Instead of relying on time-consuming cold calls, teams can focus on customers who show real interest and intent.
• For payment outreach, the platform can remind customers and members about loan or credit card payments before they become overdue or after missed payments. Automated reminders and self-service options, such as internal transfers, help customers stay on track financially while also helping institutions reduce delinquency and late-stage collections costs.

Glia AI Outreach enables customer care teams to capture their outbound opportunities without adding headcount, keeping frontline teams available to focus on the personal relationships and trusted guidance community institutions are known for even as consumers increasingly expect the convenience, responsiveness and always-on experiences offered by megabanks and fintechs.

“Community banks and credit unions already have the advantage consumers want most: trusted relationships,” DiPietro said. “But institutions need a way to scale those relationships as customer expectations continue rising. Glia AI Outreach helps financial institutions combine the personal service they’re known for with the proactive, always-on engagement consumers expect today so they can thrive amidst increased competition.”

Unlike generic AI solutions, Glia AI Outreach is built specifically for the operational, compliance and trust requirements of banking. The solution is powered by Glia’s agentic framework, which continuously pairs institutional knowledge with agentic AI to deliver a Banking AI Operating System that improves customer interactions across both AI and human engagement.

Glia AI Outreach also includes the company’s broader banking AI safeguards, including Glia’s contractual guarantee against AI hallucinations and prompt injections. The solution builds on the company’s broader mission to help community and regional financial institutions grow without losing the personal touch that sets them apart.

Source: BusinessWire

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Built directly into the Gotransverse ecosystem, GT-Workflow enables organizations to design, execute, and monitor operational processes through a visual workflow experience. By connecting business logic, user actions, system integrations, and operational tasks into a single environment, organizations can reduce manual effort, improve process consistency, and accelerate execution across the revenue lifecycle.

“Organizations are under constant pressure to move faster while managing increasingly complex monetization operations,” said Paul De Donato, Senior Director of Implementation. “Workflow gives teams a flexible way to automate repetitive processes, coordinate activity across systems, and improve operational efficiency without relying on disconnected tools or custom development.”

Also Read: Alkami Advances Open Banking Connectivity Through FDX API Integration with Yodlee

Workflow includes:

• Visual workflow design and automation
• Automated task routing and approvals
• Event-driven operational workflows
• Configurable notifications and actions
• API-driven integrations and automation
• User-task management and operational coordination

Designed for enterprise-scale monetization environments, this new capability supports organizations operating across a variety of industries where operational efficiency, process consistency, and scalability are critical.

“Workflow extends the operational capabilities of the platform beyond billing and revenue management alone,” said Geoff Coleman, Chief Product Officer at Gotransverse. “By enabling organizations to automate and coordinate processes across teams and systems, customers can move faster, reduce operational friction, and create more consistent experiences for both internal users and end customers.”

The launch further expands Gotransverse’s broader investment in enterprise monetization infrastructure, operational automation, AI-enabled monetization intelligence, and connected revenue operations.

Source: BusinessWire

The post Gotransverse Launches Workflow to Automate Enterprise Monetization Operations appeared first on ITDigest.

“Since we founded Interchecks a decade ago, our goal has been simple: make money move faster, more safely, and with more control than anyone thought possible,” said Dylan Massey, Co-Founder and CEO of Interchecks. “This raise lets us go deeper on the technology and the team, and AFT is a direct expression of what we’ve been building toward.”

“Interchecks’ differentiated platform, outstanding team, and strong commercial momentum all align perfectly with Bettor Capital’s thesis of backing premier software and technology suppliers within our vertical, and we are thrilled to continue supporting the Company via its Series C fundraise.” – Jake Kleiner, Partner, Bettor Capital

Also Read: Chronograph and OpenAI Announce Integration of Private Markets Data Into ChatGPT and Codex

The AFT product addresses one of the most common friction points in digital finance: accepting deposits quickly and safely while helping businesses manage risk through built-in controls. With AFT, Interchecks clients can fund accounts in real time using debit card rails, with layered fraud protections built directly into the transaction flow. The product is purpose-built for use cases including account-to-account transfers, neobank, neobrokerage, and crypto wallet funding. It joins Interchecks’ existing Pay-by-Bank funding solution on a single RESTful API, meaning clients can offer a broad spectrum of deposit methods without managing multiple integrations.

Risk controls embedded in AFT include account verification, real-time duplicate card detection, customizable velocity limits benchmarked to industry standards, and proactive monitoring of suspicious activity all designed to reduce chargeback exposure before funds move.

“Interchecks continues to advance the payments ecosystem by delivering solutions that help businesses move money more quickly and securely. We’re pleased to collaborate in bringing capabilities to market that support real-time funding experiences and greater flexibility for a wide range of use cases.” Justin Zhao, VP, Head of Visa Direct, North America.

Interchecks has processed more than $50 billion in transactions over its 10-year history, achieved triple-digit net revenue growth year-over-year for the past seven years, and operated profitably since 2023. The company is a certified PCI Level 1 Service Provider and SOC 2 Type 2 certified, and works with major global networks including Visa and Mastercard.

Source: PRNewswire

The post Interchecks Secures $50M Series C to Expand Instant Payments Infrastructure; Launches Account Funding Transactions appeared first on ITDigest.

Through this MOU, the companies will collaborate on accelerating the delivery and adoption of quantum solutions in key application areas, such as the development of materials for batteries and photovoltaics. Through adapting Phasecraft’s advanced algorithms and software to Atom Computing’s neutral-atom quantum computing hardware, the collaboration aims to accelerate the path towards useful applications in materials science and energy.

Atom Computing continues to lead the quantum computing industry through its pioneering work in neutral-atom quantum technology. The company recently demonstrated a breakthrough in quantum error correction using toric code and announced a $100 million Letter of Intent with the U.S. Department of Commerce. Atom Computing is also deploying the world’s first commercial quantum computer with logical qubits and performing in Stage B of DARPA’s Quantum Benchmarking Initiative (QBI), where it is demonstrating its pathway to utility-scale quantum computing.

Also Read: Atom Computing Reveals Quantum Error Correction with Toric Code 

Phasecraft is the leading UK and US-based quantum algorithms company, developing advanced quantum algorithms to solve real-world problems in materials discovery, chemistry, and optimization. Its focus is on making quantum computing practical today by designing software that works with existing imperfect hardware, bridging the gap between current technology and future large-scale quantum systems.

“Unlocking the true commercial potential of quantum computing requires a tight synergy between breakthrough hardware and hardware-optimized software,” said Dr. Ben Bloom, CEO and Founder of Atom Computing. “By fine-tuning Phasecraft’s industry-leading algorithmic methods to our neutral-atom architecture, we can pave the way for a new generation of commercial applications in materials science and sustainable technology.”

“We are excited to collaborate with Atom Computing to advance quantum applications in material science,” said Prof. Ashley Montanaro, CEO and Co-Founder of Phasecraft. “Real-world quantum utility will come from combining advances in hardware with equally powerful advances in algorithms. By bringing together Atom’s scalable quantum computing platform and our hardware-adaptive algorithms, we can accelerate progress towards applications in energy storage, solar technology, and advanced materials.”

By aligning cutting-edge neutral-atom quantum computers with purpose-built quantum software, this collaboration represents a decisive step toward realizing quantum advantage in critical industries and accelerating innovation across the global energy and materials landscape.

Source: PRNewswire

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Addressing this systemic operational drag, enterprise technology leader LTM announced the launch of BlueVerse for iRun. Moving beyond static automation scripts and headcount-based contracts, the platform introduces an AI-native managed services model driven by autonomous execution.

By establishing a unified intelligence layer across enterprise telemetry, application data, and operational workflows, the platform enables AI agents to reason across systems and execute complex remediations safely. For the Information Technology (IT) and Managed Services industry, this launch marks a massive paradigm shift away from billing for human effort and toward delivering guaranteed operational outcomes.

The News: Pre-Emptive, Self-Learning IT Operations

The core advancement behind BlueVerse for iRun is its transition from reactive incident logging to pre-emptive, self-learning operations. Built using advanced agentic AI, knowledge convergence, and a “process-as-code” design philosophy, the model unifies fragmented IT environments into a single, context-aware command center.

Instead of waiting for critical infrastructure to fail, LTM’s network of collaborative AI agents continuously monitors data flows and executes governed guardrails to protect system health. The architecture targets highly aggressive operational performance benchmarks:

Automated Resolution: Aims to independently resolve 60% to 70% of routine IT issues and system anomalies without human intervention.

Accelerated Incident Closure: Compresses traditional support timelines, driving 40% to 60% faster incident resolution cycles.

Pre-Emptive Defenses: Leverages historical telemetry to identify failure patterns, preventing up to half of potential system disruptions before they can impact production lines.

Embedded Governance: Integrates rigid policy-bound execution, continuous audit trails, and human-in-the-loop validation checkpoints to maintain enterprise-grade trust as AI scales across application management, cloud infrastructure, and cybersecurity.

Also Read: Comcast Business Launches Built-In Cybersecurity Framework to Protect Small Businesses

Transforming the IT and Managed Services Industry

The rollout of a highly autonomous, outcome-driven operations framework alters the competitive baseline across the broader IT services ecosystem.

The Collapse of the Billable-Hour Model
Historically, Managed Service Providers (MSPs) and global IT consultancies generated predictable, highly lucrative recurring revenue by tying their pricing structures to resource inputs essentially charging clients based on the number of dedicated engineers managing an account. LTM‘s launch directly threatens this legacy model. When an AI platform can resolve nearly three-quarters of infrastructure incidents autonomously, charging for manual human hours becomes an obsolete business proposition. The IT industry will face intense market pressure to transition toward outcome-based commercial frameworks where software vendors are compensated for system uptime and performance metrics rather than sheer labor volume.

Redefining the Role of IT Operations Teams
With agentic AI absorbing routine, lower-level technical maintenance, the day-to-day responsibilities of internal software and systems engineers are undergoing a major evolution. IT professionals will step away from basic server reboots, rote patch management, and repetitive ticket handling. Instead, engineering roles will shift toward high-level system architecture, prompt engineering, automated policy creation, and advanced threat modeling, requiring a rapid upskilling of the tech sector’s talent base.

Broad Operational Impact on Enterprise Businesses

For companies utilizing heavy digital infrastructure to drive market value, transitioning to an agentic managed services framework introduces distinct business advantages.

Shifting Capital from Maintenance to Innovation

In traditional business environments, a staggering percentage of the corporate technology budget is entirely consumed by just keeping the lights on—often referred to as “run” spend. By driving massive automation into everyday infrastructure management, BlueVerse for iRun allows corporate boards to reclaim that trapped capital. Companies can systematically redirect their technology investments away from reactive maintenance and pour resources directly into digital innovation, rapid software prototyping, and consumer-facing applications that drive top-line revenue.

Protecting System Reliability and Digital Revenue

In a highly connected market, one hour of IT downtime without notice or a failure of a key application can result in millions of dollars of lost sales, eroded consumer confidence, and a seriously damaged brand. Employing an operational system that identifies and prevents 50% of the disruptions before they actually take place is like securing the business pipeline. Business leaders have the opportunity to grow their digital businesses with a dependable, self-healing resilience that is an additional layer, thereby changing their IT infrastructure which used to be a risky back-office element into a consistent and smooth performer of the company’s success over a long period.

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By delivering real-time, context-aware work intelligence across the market’s primary generative ecosystems, Smartsheet eliminates vendor lock-in and allows enterprises to extract deep operational value from the AI tools they have already deployed. Concurrently, the provider rolled out Smart Assist, a native in-product companion that utilizes the exact same continuous data models to surface actionable insights directly inside the Smartsheet interface.

Unifying Distributed Corporate Strategy with Actionable Context

Unlike basic, isolated API integrations that offer simple read-only access without an underlying understanding of corporate workflows, Smartsheet’s MCP architecture links intelligent assistants directly to live data. Grounded in 20 years of rich enterprise performance metrics, the server translates complex, multi-tiered project dependencies, row histories, and cross-functional communications into structured, clear instructions that external algorithms can process accurately. This removes the reliance on generic textual summaries, enabling corporate AI instances to generate real-world, actionable solutions.

“The problem most teams run into isn’t access to AI. It’s that their AI has no idea how their organization actually works,” said Pratima Arora, chief product and technology officer at Smartsheet. “Today’s assistants make one person faster inside one system. But enterprises don’t deliver that way — the build, the launch, the transformation run across teams and systems all at once. That context lives in Smartsheet because that’s where the work happens. When every major AI assistant connects to it, teams stop chasing information and start making decisions.”

Also Read: Cognizant and Snowflake to Drive Enterprise AI Adoption via Cortex-Powered Intelligent Agents

Escalating Enterprise Market Momentum and Tool Utilization

The introduction of the multi-assistant model arrives amid unprecedented customer adoption following the initial rollout of Smartsheet’s MCP server earlier this year. Corporate performance analytics demonstrate that introducing an open, protocol-based layer successfully shifts artificial intelligence from a passive conversational novelty into active operational plumbing.

Key adoption and performance metrics recorded since the platform’s initial compliance launch include:

• Substantial Transaction Volumes: Over 22,000 unique corporate users have executed more than 3 million distinct AI actions within the ecosystem.

• Accelerated User Growth: Weekly active adoption has grown nearly 9x since week one, expanding from fewer than 1,000 active users at launch to more than 9,000, while overall weekly tool call volumes jumped from 42,000 to more than 700,000.

• Consecutive Record Invocations: The first 10 days of June alone yielded more than 860,000 AI actions, achieving consecutive all-time daily usage peaks on June 9 and June 10 with 1,767 and 1,825 active organizations, respectively.

• Measurable Productivity Shifts: Nearly one in three AI-driven queries explicitly creates, updates, or modifies live operational records, illustrating that connected workflows generate concrete business outcomes rather than simple text outputs.

• Rapid Ecosystem Scaling: Approximately 3,000 net-new organizations integrated the technology into their workflows over the last 30 days, averaging close to 700 new corporate teams connecting to the server each week.

“We specialize in complex, technical construction projects—from building large-scale data centers to state-of-the-art healthcare facilities,” said Matthew Feagin, regional operations leader at DPR Construction. “There are thousands of people involved in these projects, and Smartsheet is the backbone for managing all of the most dynamic parts of the process. Now with the Smartsheet MCP Server, our teams can securely connect to their preferred AI tools to quickly build workflows, test ideas and get answers using natural language, all in a fraction of the time. That means our frontline workers can easily create Smartsheet solutions tailored to their unique challenges, helping them solve problems faster and reduce errors.”

Maintaining Security Governance Over Fragmented Tech Stacks

By exposing a single, securely governed data-sharing layer through the Model Context Protocol, Smartsheet provides internal IT departments with a clear blueprint to mitigate the risks associated with “shadow AI” and fragmented corporate software stacks. The system honors all existing, organization-level authorization rules and user permissions, ensuring that automated agents operate strictly within verified, least-privilege guardrails. Additionally, every interactive data request and tool call is fully logged, providing corporate security teams with the transparent audit trails required to maintain regulatory compliance at scale.

The Copilot and ChatGPT connectors are commercially available to United States enterprise accounts immediately, with regional rollouts across Europe, the Middle East, Africa (EMEA), and Asia-Pacific (APJ) scheduled to launch in subsequent product phases. Global corporate networks can access technical documentation, connection maps, and implementation guides via the official Smartsheet developer platform.

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By integrating these new gene expression tools, laboratory automation partnerships, and specialized analysis software, QIAGEN aims to accelerate the adoption of digital PCR across large-scale molecular biology research and regulatory compliance environments.

“Gene expression represents one of the largest application areas in molecular biology and a significant opportunity for digital PCR,” said Thierry Bernard, CEO of QIAGEN. “By expanding the QIAcuity ecosystem with new assays, enhanced multiplexing capabilities and workflow solutions, we are helping customers apply digital PCR to a broader range of research and biopharma applications.”

Also Read: Tempus Introduces ‘Preview’: Bridging the Critical Time Gap Between Diagnostic Order and Definitive Results

Expanding the QIAcuity Digital PCR Framework

The updated QIAcuity portfolio delivers key operational updates across four core segments of the biotechnology and life sciences market:

1. Advanced Gene Expression Solutions for dPCR

QIAGEN intends to expand its testing commercial lines later in 2026 by rolling out new QIAcuity Gene Expression Assays. The upcoming products are optimized to support precise expression profiling across human, mouse, and rat research models. Additionally, the developer plans to launch the QIAcuity OneStep High Multiplex Probe PCR Kit, a solution designed to maximize sample utility by enabling complex, high-order multiplex targets to run simultaneously inside a single nanoplate partition.

2. Enhanced Quality Control for Cell and Gene Therapy (CGT)

To support the stringent manufacturing regulations governing biopharmaceutical production, QIAGEN is building out its residual DNA testing suite. The expansion includes new quantification kits optimized for an array of producer cell systems. These tools enable biopharma operations to achieve reproducible, high-precision analytics during process development, batch release testing, and host-cell impurity monitoring.

3. Standardized Laboratory Automation Integration

Recognizing the throughput demands of industrial and clinical research laboratories, QIAGEN has partnered with Hamilton to automate the initial handling of QIAcuity nanoplate configurations. By transitioning fluid transfer, loading, and setup workflows to automated liquid handling systems, the collaboration significantly increases daily laboratory productivity, optimizes reagent usage, and minimizes the human errors inherent to manual pipetting.

4. Automated Analysis and Compliance Reporting via QIAcuity Software 3.5

Concurrently, the upcoming release of QIAcuity Software 3.5 introduces an updated data analysis layer. The software features pre-configured analysis templates and automated reporting frameworks built to standardize data interpretation across distributed laboratory setups. The platform upgrade streamlines verification speeds, making it easier for biopharma networks to preserve data integrity and maintain strict regulatory compliance across high-volume experimental runs.

Driving Data Efficiency via Nanoplate Partitioning

The QIAcuity platform distinguishes itself from legacy infrastructure by utilizing microfluidic nanoplates to disperse a biological sample into thousands of individual, isolated partitions. The system then executes and reads the target reactions simultaneously, allowing it to quantify even faint, low-abundance genetic signals with absolute accuracy. By combining sample partitioning, thermocycling, and optical imaging into a single unified instrument, the platform condenses traditional digital PCR workflows from six hours down to just two.

The comprehensive portfolio updates and software enhancements are scheduled to roll out across global biopharma and life sciences markets throughout the remainder of 2026. Laboratories can explore platform specifications, review automation integration protocols, and access relevant application notes via the official QIAGEN digital portal.

Source: BusinessWire

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As organizations rapidly deploy Claude across teams and workflows, security and compliance teams have faced a fundamental blind spot: they have had no way to see who holds access to Claude, what level of privilege they carry, which API keys exist, or what resources and projects are being shared. Until now, what happened inside those AI interactions has remained largely invisible to the identity and security teams responsible for managing access risk.

The Linx integration based on the new Claude compliance API, powered by Anthropic, changes that. Claude governance lives natively inside the Linx platform, alongside every other application in the enterprise. For security leaders, that means Claude is no longer an ungoverned blind spot in the identity estate: it carries the same visibility, audit trail, and access controls as every other application their teams are responsible for securing.

Also Read: Check Point Advances Secure AI Transformation for MSPs with New Platform, AI Security Capabilities, and Unified Security Bundles 

“Claude has become a critical enterprise application almost overnight, but without the identity governance controls that organizations apply to everything else in their stack,” said Israel Duanis, CEO and Co-Founder at Linx. “You can see who has access to Salesforce. You can see who holds admin keys in your cloud infrastructure. You should be able to see the same for Claude. This integration makes that possible, and it does it the right way: not as a standalone tool, but as part of the same identity fabric our customers already use to govern every identity in their environment.”

Governing Claude

Once connected, Claude becomes a fully governed application in Linx. Identity teams can now:

See accounts, roles, and permissions in Claude — A complete view of all accounts provisioned in Claude, the roles assigned to them, and the groups they belong to. Teams can filter directly to administrative roles and drill into the specific permissions each role carries, making it easy to identify over-provisioned access at a glance.

Review and certify access with Linx AI-powered recommendations — Launch access certification campaigns scoped specifically to Claude, reviewing who has access and what entitlements they hold. Linx surfaces recommendations powered by Anthropic’s own models to help reviewers decide whether each access grant should be approved or denied, accelerating certification cycles without sacrificing rigor.

Identify and associate API keys — Full visibility into API keys created within Claude, including when each key was created and associated metadata, giving security teams the audit trail they need to detect stale or unmanaged keys.

Govern projects and resources — Monitorthe specific projects and shared resources within Claude, with an access graph for each project that maps exactly how access is provisioned: which roles exist, which users hold them, and how they connect.

“What makes this integration stand out is that access review recommendations are powered by Anthropic’s own models. You’re not just getting visibility into who has access to Claude you’re getting intelligent guidance on whether that access is appropriate,” said Niv Goldenberg, CPO & Co-Founder at Linx. “Combining Linx’s identity governance with Anthropic’s AI to make faster, smarter certification decisions is exactly the kind of integration that moves enterprises from checkbox compliance to continuous, intelligent governance.”

Source: PRNewswire

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