The newly released product combines several security features within a single package, including endpoint protection, immediate threat detection, vulnerability discovery, and managed continuous monitoring. Through the integration of these capabilities, HENNGE is aiming to not only reduce the burden on IT departments but also to upgrade the security of businesses against cyber threats which are constantly becoming more ingenious and sophisticated.

A major distinguishing aspect of the platform is that it concentrates on securing the entire chain of the user journeyfrom prevention to response. Apart from detecting threats, the solution is also performing ongoing vulnerability scans on both the endpoints and external-facing assets, thereby enabling the help of organizations in risk identification and mitigation. This sort of proactive method is in line with zero-trust security models which maintain an emphasis on continuous monitoring and danger reduction at all points of access.

The security offering goes further still, by helping to ease a very real issue of enterprise security today: the lack of adequately skilled cybersecurity professionals. Actually, many organizations are faced with such a high volume of alerts being generated by traditional EDR tools, that it becomes difficult to effectively deal with them in time, thereby increasing the risk exposure as well. In this regard, HENNGE’s fully managed service model puts those tasks aside for the experienced team who, on a 24/7 basis monitor analyze, and respond to threats.

Implications for the IT Industry

HENNGE’s introduction is a case of how the whole IT industry is moving towards integrated, managed security platforms. Cyber crimes are becoming more and more complex, widely spread and hybrid working and cloud adoption are making things even worse. So, traditional point solutions are no longer enough.

Their entry into EDR and MDR further points to the fact that security ecosystems that combine detection, prevention, and response in one single framework are the future. IT executives will now have to think about automation, real-time monitoring, and zero-trust architecture implementation as part of their new security strategy.

Managed services, on the other hand, reveal another major change in the industry: security operations are being delegated to specialized providers. As globally there is a shortfall in cybersecurity professionals, managed detection and response solutions are turning out to be a necessity for organizations to be able to defend well without adding too many internal employees.

The combination of vulnerability assessment and attack surface management with endpoint security is yet another indication of a change in mentality toward cybersecurity that is one step ahead. To be clear, instead of merely doing damage control after the fact, IT personnel have to step up their game to predict and prevent risk even before the breach has occurred.

Business Impact and Strategic Value

Endpoint Managed Security is a big step forward for businesses wanting to streamline their cybersecurity efforts. By integrating various security measures within one platform, enterprises can ease complexity, cut down operating expenses, and uplift their security status.

Real-time threat detection and response mean lesser interference and cyber-attack-related damages both monetarily and in terms of one’s reputation. Industries that require safeguarding their data, such as banking, medical, and online shopping areas, especially find this feature indispensable.

In addition, the managed service approach makes it possible for companies to increase their security measures without the need for highly skilled personnel inside. Small and medium businesses, which especially do not have any cybersecurity specialists but encounter the same threats as bigger companies, would greatly benefit from this.

Advancing Toward Proactive, Managed Security

HENNGE’s expansion into endpoint managed security highlights a key transformation in enterprise technology: the move from fragmented, reactive defenses to holistic, proactive security ecosystems. By combining endpoint intelligence, continuous monitoring, and expert-led response, the company is positioning its platform as a comprehensive solution for modern cybersecurity challenges.

As organizations continue to embrace cloud-first strategies and distributed work environments, solutions like this will play a critical role in enabling secure, resilient operations—reshaping how both IT teams and businesses approach cybersecurity in an increasingly complex digital landscape.

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Also Read: Databricks and Fivetran Bring Agentic AI to Streamline Healthcare Referral Management

By standardizing data across systems, HSA aims to strengthen operational visibility, financial outcomes, and scalability of analytics capabilities. “As healthcare systems continue to evolve, the ability to unify and activate data across the enterprise becomes a strategic priority. By partnering with WellStack to establish a modern data foundation, we are creating the infrastructure needed to improve operational transparency, strengthen financial performance, and support the next generation of analytics and AI-enabled insights,” said David Colarusso, CIO, Healthcare Systems of America.

Read More: WellStack Partners with Healthcare Systems of America to Establish a Unified Data Foundation and Enable Enterprise Analytics

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Also Read: Resecurity Integrates with Splunk to Enhance Threat Intelligence and SOC Visibility 

This partnership focuses on regulated industries, such as financial services and healthcare. In these fields, identity verification is key. “Many of our clients operate in highly regulated industries where identity assurance is critical,” said Pete Orologas, Chief Executive Officer, Formula5. “By partnering with authID, we can offer biometric identity solutions that help organizations verify users with confidence, reduce social engineering risk, and support secure digital onboarding and authentication, without adding friction. This is a powerful addition to our Microsoft security and identity portfolio.”

Read More: authID Announces Strategic Partnership with Formula5 to Deliver Biometric Identity Security for Microsoft-First Enterprises

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Zocks collects data from advisor-client interactions such as meetings emails phone calls, and documents and changes it into a single, searchable profile. This changing pool of data represents the clients’ changing goals, financial issues, and planning signals over time. Until now, this depth of insight remained largely confined within the Zocks platform, limiting its usability with external AI tools.

With Zocks MCP, that barrier is removed. Advisors can now incorporate rich client context into AI workflows in a seamless fashion without the need for manual transfer, which is a laborious and potentially risky approach. The integration is done in a fashion that is fully aligned with the security requirements that Zocks has implemented.

Also Read: Solutions by Text Integrates FinText with Salesforce Marketing Cloud

The feature allows for a wide array of significant use cases. Advisors can now leverage the history of the relationship to recognize untapped potential, create personalized tax-related information based on past conversations, and recognize planning-related issues such as retirement or estate-related concerns. It can now also be used to create personalized communications for the client, including year-in-review-type letters, based on actual interactions rather than generic templated information.

By integrating with MCP-compatible platforms, Zocks MCP allows the advisor to aggregate many workflows under a single interface. A task that could take hours to perform, including gathering and refining the data, can now be done in a matter of minutes.

“AI tools like Claude have fundamentally changed the way we process information and the speed at which we work, but these tools are only as useful as the inputs and context they can access,” said Mark Gilbert, CEO of Zocks. “Everything meaningful an advisor knows about a client originates in their conversations, often over time. Zocks is the system that captures that knowledge across a client’s entire history, and our new Zocks MCP securely connects that structured data to the firm’s AI ecosystem. Advisors can ask, create, and analyze at a very personalized, granular level in minutes, which lets them move faster, deliver better service, and grow more business.”

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The announcement comes at a time when there is an urgent need to address the risks associated with quantum computing. Industry experts have indicated that there is a high likelihood of cryptographically capable quantum computers emerging in the next ten years. As a result, many encryption standards currently used for securing data will become obsolete. Moreover, “harvest now, decrypt later” attacks have started emerging as a concern for many organizations. The attacks occur when data is collected for decryption at a later date.

The National Institute of Standards and Technology (NIST) has also announced its standards for post-quantum cryptographic algorithms in 2024. Governments across the world are urging the adoption of quantum computing standards for their operations. Governments have even introduced mandates for the adoption of quantum computing standards for their operations.

Also Read: SEALSQ Advances Quantum-Resilient Security for Blockchain and Digital Transactions 

Naoris Mainnet marks the transition from experimental environments to live deployment. The early users will be able to make post-quantum-secured transactions, run validator nodes, and utilize the network’s basic infrastructure. Further, users will be granted wider access in subsequent phases of rollout, which will include developer tools and SDKs.

Unlike other blockchains, which use classical cryptography and are then retrofitted to be quantum-resistant, Naoris was built from scratch to be secure in a post-quantum world. It uses NIST-approved cryptography standards to protect all levels of the network, from transactions and smart contracts to consensus protocols, via a decentralized Proof-of-Security model. Additionally, Naoris will be compatible with existing Ethereum Virtual Machine (EVM) development tools.

The mainnet is backed by extensive testing. During this testnet period, the network handled more than 106 million post-quantum transactions, identified over 600 million threats, and enabled more than one million security nodes worldwide.

Now that the Naoris mainnet is live, the organization is getting ready to deploy more products targeting enterprises, developers, and users in general. Naoris is looking to become a key component in securing future digital assets, systems, and communications with advancements in quantum computing technology.

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This is a response to a gap between AI technology and enterprise readiness. While most enterprises are investing heavily in AI technology, many are failing to achieve significant returns on investment due to outdated operating models and governance structures. Agentic Service Management will bridge the gap between AI technology and enterprise readiness by aligning IT service management with AI-native technology.

“Most enterprise environments were built for people running tickets and tools, not for fleets of autonomous agents executing tasks across hybrid and multi-cloud estates—and this mismatch is limiting AI from moving out of pilots to outcomes,” said Kris Lovejoy. “You can’t scale agentic workflows on top of operating models that were designed for manual work.”

The solution includes a maturity assessment delivered through Kyndryl Consult, enabling organizations to evaluate their readiness across service management, AI governance, security, and operations. Based on this assessment, enterprises receive a phased roadmap to adopt agentic IT service management responsibly, with guardrails and human oversight. Additionally, Kyndryl Agentic AI Digital Trust provides a security-first framework to manage risk, compliance, and governance across AI-driven workflows, particularly in regulated industries.

Kyndryl is also applying these capabilities internally through its Kyndryl Bridge platform, enhancing operational intelligence and automating service delivery. The company already executes nearly 200 million automations monthly, demonstrating the scale at which agentic AI can transform IT operations.

Also Read: Armada and Microsoft Partner to Deliver Sovereign AI at the Edge with Azure Local

Implications for the IT Industry

Kyndryl’s statement is a sign of the IT industry’s wide-ranging change to AI-native service management and autonomous operations. IT service management (ITSM) models built around ticketing systems and manual workflow operations are becoming less and less compatible with the speed and complexity of modern AI-driven environments. Agentic service management is a hint of the future of systems of execution, where AI agents perform tasks such as infrastructure management, issue resolution, and operational optimization in real-time.

IT leaders must now commit to AI governance, orchestration, and operational transparency as this evolution brings along with it new priorities. On the one hand, enterprises should develop IT architectures for continuous, autonomous decision-making without compromising the regulatory compliance that e.g. ISO 42001 requires. On the other hand, implementing AI governance frameworks, integrating real-time monitoring systems, and policy-driven controls into the core infrastructure is a challenge.

The increasing role of AI digital trust frameworks only underscores the fact that we have to find ways for security and accountability to co-exist with innovation. IT teams are also seeing their roles radically transformed by the coming together of AI, cloud and IT service management. Rather than tracking tickets and manually working on infrastructure, IT professionals will progressively be monitoring AI-driven systems, their chief concerns being strategy, governance and performance optimization.

Business Impact and Strategic Value

For businesses, Agentic Service Management can be a game-changer. They can greatly improve their efficiency and agility by automating routine IT processes and resolving issues in real time. Organizations will be able to reduce the amount of downtime, cut the costs of their operations, and make their services more reliable.

What’s more, being able to roll out AI-driven workflows in hybrid and multi-cloud settings means quicker innovation. Companies can launch brand new applications, fine tune their infrastructures, and meet changing demands of the market with even more speed and accuracy.

Besides that, embedding governance and compliance frameworks make sure that the usage of AI won’t compromise security or regulatory compliance. This holds very true especially for industries such as banking, health care, and government, where data protection and compliance are of utmost importance.

Enabling the Future of Autonomous IT

Kyndryl’s Agentic Service Management solution is a testament to the defining trend in enterprise technology today: the move from manual IT operations to autonomous, intelligent service ecosystems. With its solution offering a framework for the implementation of agentic AI, the company is helping organizations move from proof-of-concepts to business outcomes.

As enterprises continue to leverage AI at scale, solutions like this will play a crucial part in helping organizations evolve from being mere enablers within the enterprise to being strategic business differentiators for innovation, efficiency, and competitiveness.

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Also Read: Kroll and Greenboard Partner to Deliver AI-Powered Unified Compliance Platform

“Digital assets have arrived at the CFO’s desk, and the question has shifted from whether to engage to how to do so advantageously without disrupting existing operations,” said Renaat Ver Eecke, SVP, Ripple Treasury. “Ripple Treasury gives the office of the CFO a trusted place to hold and manage digital and fiat assets – with no separate interface, no new workflows.” The platform offers real-time valuation, automated transaction tracking, API connectivity, and unified dashboards, positioning it as a foundational solution for modern treasury operations in the evolving digital finance landscape.

Read More: Ripple Treasury Launches the First Treasury Management System (TMS) with Native Digital Asset Capabilities

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Also Read: Mobileum Deploys AI Fraud Detection Platform at Grameenphone to Combat 5G-Era Threats

The browser includes capabilities such as shadow IT management, browser-based data loss prevention, secure browsing with IP anonymization and threat protection, SaaS access control via SSO and MFA, and zero-trust traffic management to safeguard both cloud and internal resources. Backed by insights on SMB ransomware vulnerability, NordLayer provides a scalable, affordable solution that empowers IT teams while maintaining a seamless browsing experience for employees, addressing critical cybersecurity gaps for SMBs in hybrid work environments.

Read More: NordLayer launches browser, delivering user and business-friendly advanced security for SMBs

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“AI agents are evolving from simple chatbots into autonomous digital workers,” said Steve Wilson, Chief AI and Product Officer at Exabeam. “They authenticate, access systems, and execute real business processes. When compromised, their activity will often look legitimate. Guardrails designed to catch prompt injection or hallucinations do not address that risk. Securing digital workers requires deep visibility into baseline behavior and the ability to detect subtle deviations before they become material incidents.”

The platform introduces five core capabilities to secure AI-driven environments. AI Behavior Baselining dynamically profiles users and agents, flagging anomalies in token usage, request volumes, tool invocations, and web sessions. Prompt and Model Abuse Detection identifies injection attacks, model manipulation, and shadow AI activity at the point of entry. Identity and Privilege Monitoring governs agent roles and permissions, while Agent Lifecycle Monitoring tracks creation, modification, and usage to close visibility gaps. Coverage aligned to the OWASP Top 10 for Agentic AI establishes a framework for defending AI agents against emerging threats.

Also Read: Scamnetic and VanishID Join Forces to Strengthen Enterprise Identity Protection and Scam Prevention

“AI is rapidly reshaping how organizations operate, compete and grow, creating a new, digital workforce that helps them move faster and at scale,” said Pete Harteveld, CEO at Exabeam. “Our expansion of Agent Behavior Analytics helps organizations stay protected from emerging risks while adopting AI with confidence and maintaining the oversight and accountability required to proliferate these capabilities across an enterprise.”

Early adopters, such as Dayforce, report that Exabeam provides critical clarity in monitoring both human and autonomous interactions, allowing security teams to prioritize real threats while supporting accelerated AI adoption. The expansion is complemented by enhancements across Exabeam’s New-Scale and LogRhythm platforms, streamlining workflows, reducing alert fatigue, and improving automated threat detection across the enterprise.

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IT operations teams in large-scale enterprises frequently face difficulties in managing high volumes of event noise, and the new BigPanda application aims to provide a single incident experience within the ServiceNow IT Service Management (ITSM) system. This application will automatically provide enriched information in the form of topology, probable root cause, and configuration management database (CMDB) to the ITSM system. This will enable the elimination of duplicate or redundant tickets.

Customers using BigPanda with ServiceNow report up to 99% reduction in alert noise, over 50% fewer incident tickets, and 30–50% faster mean time to resolution (MTTR), generating tangible operational savings and improved service reliability.

Also Read: Unstructured and Teradata Partner to Scale AI-Ready Data

“As we use ServiceNow on a daily basis for incident, problem, and change management, integrating BigPanda’s incident and change capabilities into ServiceNow has reduced manual ticket creation and improved correlation between Incidents and Change. Overall, the integration has been highly effective,” said Ben Narramore, Director of Global Operations and Service Management at Sony Interactive Entertainment.

BigPanda works within existing ITSM and monitoring infrastructures, allowing enterprises to gain immediate value without disrupting workflows, regardless of IT Operations Management (ITOM) maturity.

“Enterprises have made ServiceNow the system of record for IT operations, but many still struggle to operationalize the massive volume of signals flowing into it,” said Tom Melzl, Chief Revenue Officer at BigPanda. “Whether an organization is early in its ITOM journey or operating a mature NOC, they can start seeing improvements in MTTR within weeks without needing to re-architect their environment.”

“BigPanda’s certified application for ServiceNow gives customers powerful new ways to cut through alert noise, accelerate incident resolution, and get more value from their ServiceNow investments,” added Alix Douglas, Group Vice President, Partner Solutions at ServiceNow. This partnership signals a new era of faster, more reliable IT operations for enterprises navigating increasingly complex digital environments.

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