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With AI assisted coding and autonomous software agents being more and more widely deployed, application development is happening at an ever increasing pace. But it is also opening new security concerns not only for coding but for live production deployments. The two companies say traditional approaches often separate application security from cloud runtime protection, leaving exploitable gaps across development and deployment workflows.

Under the partnership, Legit Security’s agentic application security platform, including its VibeGuard technology, will secure AI-generated code, workflows, and coding agents during development. Sweet Security’s runtime cloud security platform will then extend visibility and protection into production environments, monitoring how applications and AI agents behave once deployed.

Also Read: Avantra 26 Introduces AI-Driven Intelligence to Accelerate SAP Incident Resolution

“The partnership between Legit and Sweet provides customers the unique ability to understand and mitigate risk from the moment a developer, human or AI, writes a line of code all the way to the cloud,” said Roni Fuchs, co-founder and CEO at Legit. “With this level of visibility and control, customers can ensure their applications are secure across the entire software lifecycle from code to runtime.”

The integrated approach is designed to help organizations identify vulnerabilities earlier, prioritize real threats, and improve runtime monitoring for AI-powered applications. The companies noted that risks such as hardcoded credentials or insecure AI workflows can become significantly more dangerous once applications are running in production.

“As AI transforms how software is built and behaves in production, security can no longer be split between code and runtime,” said Dror Kashi, co-founder and CEO at Sweet. “Partnering with Legit brings these two layers – and the steps between them – together, giving customers continuous visibility and security coverage from the moment code is written through production.”

The partnership reflects the growing demand for unified security strategies as AI-generated software and autonomous agents become more deeply embedded in enterprise operations.

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The release focuses on helping organizations manage increasingly complex SAP environments through deeper automation, expanded cloud integration, and real-time operational intelligence. Central to the update is the launch of Avantra AIR Root Cause Analyzer, an AI-powered engine that automatically investigates SAP incidents and provides structured diagnostics as soon as issues are detected.

Available as an additional licensed capability, Avantra AIR correlates logs, alerts, and system data across multiple SAP systems to identify probable root causes and recommend next steps. The company said the technology can transform troubleshooting processes that previously required hours of manual expert analysis into tasks completed within seconds.

“SAP operations teams have long had solutions that flag issues but leave it to experts to find the cause. Avantra AIR changes that. Engineers now get a diagnosis in seconds instead of hours. This is the AI-led shift that customers are demanding from their tech stack, and Avantra 26 brings it to our global customers,” said Brenton O’Callaghan, Chief Product Officer at Avantra.

Also Read: OpenAI Introduces Advanced Account Security Features to Advance User Protection

According to Avantra, early adopters have reported up to a 60% reduction in mean time to insight and issue resolution, alongside a two- to threefold increase in automation efficiency. Organizations have also seen notable time savings for senior engineers managing SAP environments.

This release improves the interoperability between Avantra and SAP Cloud ALM by establishing two-way alert synchronization and exchange of system-related data, which enables Avantra teams to work directly with their SAP Cloud ALM instances. Moreover, Avantra 26 comes with improved automation discovery for SAP Business Technology Platform (BTP).

One of the notable updates in this release is the new Automation Runner interface, designed to enable business users and first-level IT support specialists perform complicated SAP actions, including SAP system refreshes, using no advanced Basis knowledge at all.

The introduction of Avantra 26 is viewed by the company as an opportunity to provide its customers with better assistance in their SAP transformation. In light of current trends that drive companies towards more cloud-first approaches to SAP management, the company claims that this solution will become a tool for simplifying and accelerating modernization.

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Also Read: Onix Expands Google Cloud Partnership to Accelerate Enterprise AI and Cloud Transformation

It will do this by providing better visibility and risk management. “Our agreement with TD SYNNEX represents a critical milestone in scaling the Orca Security ecosystem,” said Gil Geron, CEO of Orca Security. “By aligning with a global leader in distribution, we are equipping our partners to deliver our AI-powered cloud security platform at scale…” Cheryl Day added, “By integrating Orca Security into our North American partner ecosystem, we are enabling our customers to offer comprehensive visibility and prioritized risk management…”

Read More: Orca Security Accelerates AI-Driven Cloud Security Growth with TD SYNNEX Partnership

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Also Read: EXL and Google Cloud Partner to Accelerate Enterprise AI Transformation

The collaboration focuses on three pillars: joint go-to-market and vertical investment to expand Onix’s Google Cloud business, unified platform capabilities for faster AI adoption, and an outcome-based enterprise delivery model emphasizing strict business KPIs and measurable ROI. Victor Morales, VP of GSI and Consulting Partnerships at Google Cloud, noted, “By utilizing Google Cloud’s leading gen AI capabilities, Onix can help customers unlock new insights that improve operations and productivity,” supporting a scalable, AI-driven enterprise strategy.

Read More: Onix Deepens Strategic Collaboration with Google Cloud to Help Accelerate Enterprise-Scale Cloud, Data, and Agentic AI Transformation

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The solution adds new features, like Preventive Risk Insights. These insights spot potential failures before they happen. It also has an Advanced Context Map. This map shows real-time insights into infrastructure dependencies and system health. NeuBird Desktop, a command-line interface tool, allows engineers to directly interact with the AI agent, while FalconClaw, a newly launched skills hub, enables teams to operationalize institutional knowledge into reusable workflows.

“AI adoption in enterprise operations has accelerated, but existing AI solutions lack the operational context and domain expertise required to deliver reliable outcomes.” said Gou Rao, co-founder and CEO of NeuBird AI.

Also Read: SentinelOne and Google Cloud Deepen Alliance to Advance AI-Native Cybersecurity

The launch addresses persistent challenges in IT operations, where fragmented tools and alert overload hinder efficiency. According to NeuBird’s 2026 State of Production Reliability and AI Adoption Report, 83% of organizations rely on four or more tools during incidents, and engineering teams spend nearly 40% of their time managing disruptions rather than building products. Additionally, 78% of organizations reported incidents without alerts, while 44% experienced outages tied to ignored signals.

NeuBird’s agent is designed to unify these processes by correlating telemetry data, mapping dependencies, and automating root cause analysis. It enables teams to reduce alert noise by over 78%, resolve incidents in minutes, and reclaim more than 200 engineering hours per month.

Rao added, “Production issues often go undetected until they impact services. Platform, SRE and DevOps teams need the ability to anticipate problems before they happen, across organizations of all sizes. NeuBird AI enables teams to see around corners, identify risks ahead of impact, prevent incidents before they affect services and resolve incidents in minutes. We deliver an AI teammate that production teams can actually trust. This is the future of enterprise production operations.”

With the addition of FalconClaw, organizations can further codify operational expertise into scalable, AI-driven processes, reinforcing a transition toward predictive, self-optimizing production environments.

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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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Founded in 2014 and backed by Grand Oaks Capital, Token has spent over a decade building identity infrastructure for government and enterprise organizations operating in high-security environments.

Credential compromise remains the leading cause of enterprise breaches – and the rise of agentic AI is accelerating the problem. For defense contractors, critical infrastructure operators, and highly regulated institutions, the risk is even greater: their most sensitive systems cannot depend on cloud-based authentication. The shift to biometric identity assurance is already underway, because credential-based authentication can no longer adequately protect the systems that matter most.

“AI isn’t creating new weaknesses – it’s exposing the ones we’ve always had,” said Kevin Surace, Chief Executive Officer of Token. “The TokenCore Node brings easy-to-use cryptographic biometric identity assurance into air-gapped and classified environments for the first time. Organizations should not have to choose between the strongest authentication available and the constraints of their most critical systems. The shift is already underway, and the organizations moving now will be the ones best protected.”

Also Read: iboss Introduces AI-Powered CASB to Address Security Risks in the “Vibe Coding” Era

Surace holds 95 worldwide patents and has been named Inc. Magazine’s Entrepreneur of the Year, a CNBC Top Innovator of the Decade, and a World Economic Forum Tech Pioneer.

The TokenCore Node measures 31mm in diameter and 7.3mm thin and weighs only 13 grams, with a ceramic top cover, integrated fingerprint sensor, battery and LED status indicators. It connects via encrypted Bluetooth low energy and is designed for everyday carry-in badge holders, retractable reels, back-of-phone and keychain accessories. It is dust- and water-resistant. The Node is a testament to Token’s commitment to launching market defining technology with leading-edge biometric identity assurance.

Unlike traditional MFA, which layers additional factors onto credential-based systems, TokenCore binds access directly to a verified, physically present individual through on-device biometric authentication enforced by secure hardware. Fingerprints never leave the device. Cryptographic keys are generated and stored on-device and are never exported – eliminating credentials that can be phished, stolen, or replayed. And the user must be within 3 feet of the device logging in. No remote activation is possible.

With the addition of the TokenCore Node, Token’s product line now includes:

— TokenCore Wearable: Ring form factor. Wireless biometric authentication for privileged users, executives, and remote teams requiring fast, frictionless access across multiple workstations.

— TokenCore Portable: Wireless “stick” form factor with integrated fingerprint sensor, Bluetooth, and NFC. Biometric assurance in a portable format for environments where wearing a ring is not desired or operationally practical.

— TokenCore Node: Small disc form factor with ceramic construction and secure local wireless. Designed for lanyard, badge holder, and keychain carry in any environment including air-gapped, high-security, and mobile environments.

— TokenCore Control: SaaS solution manages 1000’s of Token devices in all form factors across the enterprise or agency and can be installed securely on-prem.

The TokenCore product line integrates with existing IAM, SSO, and PAM infrastructure. It does not replace the identity stack; it completes it.

Source: BusinessWire

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The enhanced collaboration will combine SentinelOne’s endpoint detection and response (EDR) capabilities, AI security for applications and agents, and its AI-native Singularity Platform with Google Cloud’s large-scale infrastructure and advanced threat intelligence. The goal is to provide organizations with a unified approach to defending increasingly complex digital ecosystems while supporting secure AI adoption.

“Security teams are under growing pressure to defend increasingly complex environments and protect their highly sensitive data while reducing operational friction,” said Melissa Smith, SVP of Global Strategic Partnerships & Initiatives at SentinelOne. “With Google Cloud, we have chosen a highly secure and sophisticated platform for a data sovereignty strategy, and a strategic partner for intelligence sharing. By bringing together Google’s renowned global threat intelligence, leading AI innovation and world-class cloud data infrastructure with SentinelOne’s autonomous security platform and AI-powered runtime protection, we can give customers the ultimate operating advantage for the AI era.”

Also Read: Zero Networks Unveils Kubernetes Access Matrix to Strengthen Cluster Security and Reduce Risk

As part of this partnership, SentinelOne is extending the footprint of its solution in major Google Cloud regions such as North America, Frankfurt, and Saudi Arabia. This is intended to enable enterprises to achieve their data sovereignty needs while maintaining consistent security coverage.

““Our collaboration with SentinelOne focuses on delivering integrated solutions that support data sovereignty requirements and enable the secure adoption of generative AI,” said Satish Thomas, VP of Google Cloud. “By combining Google Cloud’s global scale, deep threat intelligence, and advanced AI with SentinelOne’s AI-native security platform, we can help customers to strengthen their cyber defense and innovate securely.”

The partnership shows a shift away from old security tools. These tools often can’t keep up with AI-driven threats. The companies aim to help organizations upgrade their security systems. They do this by combining autonomous detection, real-time intelligence, and cloud-native scalability. This will reduce complexity and improve protection for endpoints and AI systems.

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