logo
Proofpoint launches unified cybersecurity solution to cut costs

Proofpoint launches unified cybersecurity solution to cut costs

Techday NZ23-04-2025

Proofpoint has announced the global launch of Proofpoint Prime Threat Protection, a unified cybersecurity solution aimed at reducing operational costs and cyber risk for organisations across an expanding digital workspace.
The company stated that Proofpoint Prime Threat Protection is the first solution to merge multiple critical threat defence capabilities, including multistage attack protection across various digital channels, impersonation protection, and risk-based employee education, into a single integrated offering.
According to Proofpoint, as organisations increasingly contend with a proliferation of disconnected security tools, the new solution offers a unified approach by integrating threat defence and human risk management. This approach centralises workflows across the full attack chain, offering real-time threat detection, response, and behavioural guidance for communication and collaboration tools, file sharing, email, browsers, and social media.
The expanding use of digital channels in modern workspaces has exposed organisations to evolving threats, with Proofpoint citing research indicating that 90 percent of security breaches involve human factors. Attacks are increasingly multichannel and multistage, utilising methods such as social engineering, impersonation, malicious links, and compromised accounts to evade traditional security measures.
One cited example involved the ransomware group Black Basta, which executed subscription bombing via email and followed up through Microsoft Teams messages, impersonating IT support to infiltrate organisations.
Proofpoint highlighted that enterprises are currently deploying an average of 45 different cybersecurity tools, creating complexity and increasing the burden on security teams. Many rely on standalone security awareness platforms unconnected to actual threat activity, which, according to the company, leads to minimal behavioural change and inefficient operations. The resulting operational overhead, delays in incident response, and missed risk mitigation tasks reportedly cost organisations millions.
The company noted that Proofpoint Prime offers an alternative by integrating threat analysis and human behaviour insights within a single workflow. Proofpoint stated that clients who consolidated their security with a unified, human-centric approach saved an average of USD $2.7 million in reduced risk exposure and avoided USD $390,000 in operational costs.
"The most damaging attacks continue to target people, and security teams are overwhelmed by siloed software, scattered threat signals, and rising costs," said Darren Lee, Executive Vice President and General Manager, Threat Protection Group at Proofpoint. "Today's collaboration landscape demands an adaptive approach. With Proofpoint Prime, organizations no longer need to stitch together dozens of disconnected detection and response tools and employee education. It integrates protection across multiple channels and attack stages, providing organizations a level of protection and peace of mind that is unmatched in the industry."
Proofpoint Prime Threat Protection consolidates four primary features: multichannel defence using Nexus AI, multistage attack detection and response, human risk-based guidance, and comprehensive impersonation protection. Nexus AI, according to the company, applies consistent threat detection across all channels to address gaps in digital security coverage.
The solution aims to give security operations teams enhanced visibility and faster response times by integrating detection and remediation of account takeovers, lateral movement, and supply chain attacks into a single workflow. Real-time, behaviour-based guidance is provided to employees, while adaptive insights are made available to security teams for dynamic policy enforcement and coaching of at-risk personnel.
Impersonation protection combines email authentication, brand safeguarding, and takedown services to defend against both domain spoofing and lookalike threats.
Proofpoint Prime is described as being designed to address current cyber threats while preparing organisations for future automation driven by artificial intelligence. The solution's architecture is described as "ready to support agentic AI

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

LuminX raises USD $5.5 million to advance AI for warehouses
LuminX raises USD $5.5 million to advance AI for warehouses

Techday NZ

time13 hours ago

  • Techday NZ

LuminX raises USD $5.5 million to advance AI for warehouses

LuminX has secured seed funding of USD $5.5 million to further develop and deploy vision language models for warehouse and supply chain operations. The funding round drew the backing of several investors, including 1Sharpe, GTMFund, 9Yards, Chingona Ventures, and the Bond Fund. Their investment will support LuminX's commitment to improving efficiency and reducing operational errors across the logistics and warehousing sectors. LuminX aims to address longstanding inefficiencies in supply chain and warehouse management that often result in operational errors and increased costs. Its technology focuses on deploying vision language models (VLMs) directly onto mobile hardware in warehouse environments, which the company says can make advanced AI more accessible and practical for diverse operations in the sector. The company's systems use a combination of visual understanding and generative AI capabilities to allow cameras to interpret complex, dynamic warehouse environments in real time. These devices can be installed throughout warehouse settings, including docks, conveyors, forklifts, or used as handheld units. According to LuminX, the system processes visual data to automate operational tasks, reduce the need for manual labour, minimise discrepancies, and optimise workflow. LuminX's leadership team is headed by Founder and Chief Executive Alex Kaveh Senemar, who previously established Voxel, an AI company focusing on warehouse safety and operations, and Sherbit, which was acquired by Huma in 2019. He is joined by Co-founder and Chief Technology Officer Reza (Mamrez) Javanmardi, who holds a PhD in Computer Science and previously served as Head of AI Research at Voxel. The broader LuminX team comprises specialists in AI, specifically in vision language models, computer vision, and robotics, with many staff connected to research institutions such as Carnegie Mellon University. "This pivotal funding allows us to scale our next-generation AI models, transforming how warehouses operate. Our edge based vision language models represent a massive step forward, acting as an intelligent core for warehouse operations. They deliver new levels of automation and insight, helping to turn previously opaque processes into transparent highly efficient systems," said Alex Kaveh Senemar. Early users of LuminX's technology include Vertical Cold Storage. "LuminX's technology is set to revolutionise our warehouse productivity and operations. It's allowing us to automate critical tasks, significantly enhance quality, and reduce claims." He continued, "In my entire career, I have yet to encounter a product that so effectively improves efficiency while simultaneously boosting quality and reliability," Robert Bascom, Chief Operating Officer of Vertical Cold Storage, said, describing the impact on the company's workflow. "Edge-deployed vision-language models are breaking the two toughest bottlenecks in logistics—labour scarcity and data blindness. By turning a low-cost camera into a perceptive co-worker that sees, understands, and acts in real time, LuminX is unlocking a step-change in operational intelligence and efficiency for every pallet, conveyer, and forklift," Kat Collins, a representative of 1Sharpe Capital, commented on the significance of LuminX's approach in the warehouse environment. The company intends to invest the newly secured funds to advance its core research and development in vision language models for logistics. Additional areas for investment include optimising these models for edge deployment, expanding the engineering team, and scaling its go-to-market activities in the logistics AI sector.

Salesforce to acquire Informatica for equity value of USD $8 billion
Salesforce to acquire Informatica for equity value of USD $8 billion

Techday NZ

time5 days ago

  • Techday NZ

Salesforce to acquire Informatica for equity value of USD $8 billion

Salesforce has signed a definitive agreement to acquire Informatica for an equity value of approximately USD $8 billion, net of Salesforce's current investment in Informatica. Under the terms of the agreement, holders of Informatica's Class A and Class B-1 common stock will receive USD $25 in cash per share. The transaction has received approval from the boards of directors of both companies and is expected to close early in Salesforce's fiscal year 2027, pending regulatory clearances and customary closing conditions. Stockholders possessing around 63% of Informatica's voting power have already provided written consent for the deal, which means no further stockholder approval is necessary. Salesforce will fund the acquisition with a combination of existing cash and new debt. The planned acquisition is intended to enhance Salesforce's data foundation, supporting its capabilities in what it describes as agentic artificial intelligence (AI). By integrating Informatica's data catalogue, data integration, governance, quality and privacy controls, metadata management, and Master Data Management (MDM) services with the Salesforce platform, the companies aim to create a unified architecture for intelligent AI agents to operate safely, responsibly, and at scale in enterprise environments. Marc Benioff, Chair and Chief Executive Officer of Salesforce, commented on the agreement: "We're excited to acquire Informatica for approximately $8 billion — uniting the world's #1 AI CRM with the #1 AI-powered MDM and ETL platform. This combination brings together Salesforce's Einstein and Informatica's CLAIRE AI engines to forge the ultimate AI-data platform — trusted, explainable, and built to scale. Together, we'll supercharge Agentforce, Data Cloud, Tableau, MuleSoft, and Customer 360, enabling autonomous agents to act with intelligence, context, and confidence across every enterprise. This is a transformational step in delivering enterprise-grade AI that is safe, responsible, and deeply integrated with the world's data." Benioff added, "This is a transformational step in delivering enterprise-grade AI that is safe, responsible, and deeply integrated with the world's data." Amit Walia, Chief Executive Officer of Informatica, stated, "Joining forces with Salesforce represents a significant leap forward in our journey to bring data and AI to life by empowering businesses with the transformative power of their most critical asset — their data. We have a shared vision for how we can help organizations harness the full value of their data in the AI era." Salesforce has outlined that Informatica's cloud-native capabilities — such as its data catalogue, data integration, governance, quality and privacy systems, metadata management, and MDM — will be integrated with Salesforce's platform. The company aims to address challenges of AI at scale by improving data clarity through Data Cloud, supporting AI-driven agents with Agentforce, enhancing Salesforce CRM applications for more personalised experiences with reliable data, providing enriched data streams for MuleSoft, and delivering context-rich insights in Tableau. Steve Fisher, President and Chief Technology Officer at Salesforce, said, "Truly autonomous, trustworthy AI agents need the most comprehensive understanding of their data. The combination of Informatica's advanced catalog and metadata capabilities with our Agentforce platform delivers exactly this. Imagine an AI agent that goes beyond simply seeing data points to understand their full context — origin, transformation, quality, and governance. This clarity, from a unified Salesforce and Informatica solution, will allow all types of businesses to automate more complex processes and make more reliable AI-driven decisions." Upon completion, Salesforce plans to integrate Informatica's technology stack into its ecosystem, including elements such as data integration, quality, governance, and unified metadata for Agentforce, as well as implementing a unified data pipeline with MDM on Data Cloud. Salesforce will continue to support Informatica's development of data management products designed for a range of cloud, hybrid, and multi-cloud environments. Robin Washington, President and Chief Operating and Financial Officer at Salesforce, said, "Our acquisition strategy is methodical, patient, and decisive — targeting transformative assets like Informatica when the calculus aligns to maximize customer success. This proposed acquisition will be a key enabler for Salesforce's next phase of AI-driven growth — and we will move quickly to integrate their capabilities and unlock synergies on a fast timeline, particularly in areas like Public Sector, Life Sciences, Healthcare, and Financial Services. We're laser-focused on accelerated execution to increase our market differentiation and deliver sustained benefits for all Salesforce stakeholders." The acquisition comes as Salesforce plans to further invest in Informatica's ecosystem of data and infrastructure partners, utilising its own marketing and distribution teams to accelerate Informatica's cloud business growth. Bruce Chizen, Informatica Chairman, said, "Permira and CPP Investments partnership with Informatica is clear proof of the benefits of a long-term investing mindset and focus on transformational growth at scale. This exceptional outcome with Salesforce is testament to that philosophy." The transaction is anticipated to be accretive to Salesforce on several financial measures from the second year following closure, including non-GAAP operating margin, non-GAAP earnings per share, and free cash flow, supported by expected cost synergies and increased revenue from a more comprehensive data portfolio. Salesforce does not expect the transaction to impact its capital return programme.

Asia Pacific faces AI data centre gap despite booming demand
Asia Pacific faces AI data centre gap despite booming demand

Techday NZ

time5 days ago

  • Techday NZ

Asia Pacific faces AI data centre gap despite booming demand

CBRE has released a report indicating a significant gap between supply and demand for AI-ready data centres across the Asia Pacific region despite an expected rapid increase in total capacity over the next three years. The report forecasts that data centre supply in Asia Pacific is set to double by 2028, yet there will likely be a shortfall of 15 to 25 gigawatts due to limitations in both power availability and the lack of facilities equipped to support artificial intelligence workloads. Growth in artificial intelligence adoption and the demand for cloud services are highlighted as key drivers behind intensified requirements for data centre infrastructure across the region. However, CBRE's analysis notes that many existing and forthcoming data centres were built based on traditional specifications rather than the heightened demands of AI applications. CBRE explains that AI-centred data centres require more than double the power density per server rack compared to conventional set-ups. These facilities also demand advanced infrastructure, including specialised cooling systems, increased floor loading capacity, and greater sensitivity to network latency and bandwidth requirements. Many projects currently under construction were designed before these new requirements came to the fore, leaving the region on course for a shortage of suitable AI-ready space. Notwithstanding these challenges, CBRE reports that investment in the data centre sector has remained robust. Figures compiled by MSCI and CBRE Research show that direct investment volumes reached USD $4.7 billion in 2024, with continued high levels of activity registered in early 2025. Many operators and developers are now looking to repurpose stabilised assets to meet evolving needs, while land investments continue to rise despite power constraints, project delays, and resistance from local communities. Tom Fillmore, Executive Director, Data Centres, Capital Markets, Asia Pacific for CBRE, commented that investors should be adapting their strategies to capture opportunities driven by the AI transformation. He said, "To capitalise on the growth in AI workload, investors should focus on more advanced data centre assets. Prioritising mergers and acquisitions, as well as equity investments in operators with a strong development pipeline will be key to achieving scalability, especially for projects that are power-ready." The CBRE report highlights that the sector's robust fundamentals are expected to sustain a broad range of investment opportunities, from direct acquisitions and new builds to joint venture partnerships and platform-level participation. It also forecasts steady price appreciation for the newest and most advanced data centre assets, which are likely to see increased investor demand. Ada Choi, Head of Research, Asia Pacific for CBRE, described the dual impact of AI expansion and cloud services uptake on the regional market. She said, "The AI boom and need for cloud services will continue to drive robust demand for both co-location and hyperscale data centres in Asia Pacific in the foreseeable future, attracting significant investor interest. Developed markets like Japan, Australia and Korea will see heightened demand, with Singapore also attracting attention despite its supply limitations." CBRE's analysis suggests that addressing power supply constraints and ensuring data centres are equipped for AI workloads will be critical to meeting Asia Pacific's data infrastructure needs in the coming years.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store