Latest news with #Abnormal
Techday NZ
3 days ago
- Business
- Techday NZ
Abnormal AI launches updated Microsoft 365 security solution
Abnormal AI has launched an updated Security Posture Management product aimed at providing AI-driven protection, automated prioritisation, and remediation guidance for Microsoft 365 environments. The company's revised offering addresses the challenges created by increasingly complex Microsoft 365 ecosystems, where accidental misconfigurations are contributing to cloud email vulnerabilities. The proliferation of third-party applications, an expanding layer of settings, and dispersed administrative responsibilities within organisations have resulted in potential blind spots and inadvertent security gaps. Previously, such vulnerabilities have reportedly been exploited by threat groups including Midnight Blizzard. Abnormal AI states that its extensive integration with Microsoft 365, coupled with its experience in counteracting advanced email threats, enables it to uncover configuration risks that might otherwise go undetected. The new add-on component for Security Posture Management is designed to continuously identify misconfigurations spanning users, applications, and tenants, providing security teams with actionable visibility and enhanced control. The company highlights three principal features of the updated product: comprehensive visibility, automated prioritisation, and remediation guidance. According to Abnormal AI, the solution continuously uncovers risky Microsoft 365 misconfigurations using CIS benchmarks and Abnormal's own threat intelligence. Automated prioritisation is intended to ensure that the most critical risks, based on their impact, prevalence, and relevance to the organisation's environment, are addressed first. Remediation guidance offers clear instructions for resolving identified issues, aiming to eliminate the need for manual audits or custom scripting. "Thousands of organisations rely on Abnormal to stop email-based attacks like phishing and account compromise. But attackers are also exploiting misconfigurations to bypass phishing defences," said Evan Reiser, CEO of Abnormal AI. "Because we already integrate deeply with Microsoft 365 to protect inbound email, we can extend our API-based architecture to detect these hidden risks. Security Posture Management gives security teams continuous visibility into misconfiguration risks across their entire Microsoft 365 environment." The latest enhancement to Security Posture Management arrives as businesses continue to face a fluid threat landscape, particularly around widespread platforms such as Microsoft 365. With increasing adoption of cloud-based collaboration tools, proper configuration has become a central focus for security teams seeking to mitigate the risk of account compromise and unauthorised access. Abnormal AI describes its platform architecture as supporting quick deployment through API integration with both Microsoft 365 and Google Workspace, as well as other cloud applications including Slack, Workday, ServiceNow, and Zoom. The firm reports that its services are presently used by more than 3,200 organisations worldwide, including a substantial segment of the Fortune 500. The company has stated that its anomaly detection engine leverages a range of contextual signals to analyse risk on every cloud email event, supporting the detection and blocking of socially-engineered attacks. This is positioned as part of a broader trend within cybersecurity that leverages artificial intelligence and machine learning to counter increasingly sophisticated attack techniques. Abnormal AI has indicated that additional demonstrations of its Security Posture Management capabilities, including the updated features, are being made available to interested parties and customers. Further details are available from the company upon request.
Business Wire
5 days ago
- Business
- Business Wire
Abnormal AI Launches Continuous Security Posture Management to Safeguard Microsoft 365 Environments
LAS VEGAS--(BUSINESS WIRE)-- Abnormal AI, the leader in AI-native human behavior security, today announced its updated Security Posture Management product, bringing AI-driven protection, automated prioritization, and remediation guidance to customers' Microsoft 365 environments. As Microsoft 365 environments become more complex, accidental misconfigurations are now a leading cause of cloud email vulnerabilities. The growing number of applications, layered settings, and fragmented ownership create blind spots and accidental openings that threat actors like Midnight Blizzard have exploited in the past. With deep Microsoft 365 integration and a proven ability to stop advanced email threats, Abnormal is ideally positioned to uncover these configuration risks. The new Security Posture Management add-on continuously detects misconfigurations across users, apps, and tenants, giving security teams the visibility and control they need to stay ahead of attackers. 'Thousands of organizations rely on Abnormal to stop email-based attacks like phishing and account compromise. But attackers are also exploiting misconfigurations to bypass phishing defenses,' said Evan Reiser, CEO of Abnormal AI. 'Because we already integrate deeply with Microsoft 365 to protect inbound email, we can extend our API-based architecture to detect these hidden risks. Security Posture Management gives security teams continuous visibility into misconfiguration risks across their entire Microsoft 365 environment.' Key capabilities include: Comprehensive Visibility: Continuously uncovers risky Microsoft 365 misconfigurations using CIS benchmarks and Abnormal threat intelligence. Automated Prioritization: Surfaces the most dangerous risks first by factoring in impact, prevalence, and environment. Remediation Guidance: Provides clear, actionable fixes with no manual audits or scripting. Additional Resources: Visit Abnormal at Black Hat 2025: Abnormal will be showcasing new Security Posture Management capabilities throughout the week at the CyBRR Cafe, located in front of the Expo Hall at Mandalay Bay. Demos are available upon request. Discover More: Learn more about this product release in this blog post from CEO Evan Reiser. About Abnormal AI: Abnormal AI is the leading AI-native human behavior security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications. The anomaly detection engine leverages contextual signals to analyze the risk of every cloud email event—detecting and blocking sophisticated, socially-engineered attacks that target human vulnerability. Abnormal is designed to be deployed in minutes via an API integration with Microsoft 365 or Google Workspace, unlocking the full value of the platform instantly. Additional protection is available for Slack, Workday, ServiceNow, Zoom, and multiple other cloud applications. Abnormal is currently trusted by more than 3,200 organizations, including 25% of the Fortune 500, as it continues to redefine how cybersecurity works in the age of AI. Learn more at
Business Wire
25-06-2025
- Business
- Business Wire
Abnormal AI Launches in Japan to Deliver AI-Native Email Security to Local Enterprises
TOKYO--(BUSINESS WIRE)-- Abnormal AI, the leader in AI-native human behavior security, today announced the launch of its operations in Japan. This expansion strengthens the company's operations in Asia-Pacific and reinforces its commitment to protecting enterprises worldwide from advanced email threats using behavioral AI. 'Japan is a cornerstone of our international growth strategy,' said Evan Reiser, Co-Founder and CEO of Abnormal AI. 'As the third-largest economy and one of the most technologically advanced markets in the world, Japan presents a tremendous opportunity for Abnormal. We are committed to investing in the region to help Japanese enterprises redefine email security in the era of AI.' The launch comes amid a sharp rise in socially-engineered email attacks targeting Japanese businesses. Traditional security tools often fall short against these sophisticated threats, which is where Abnormal AI's platform stands apart. Built on a cloud-native architecture and powered by behavioral AI, Abnormal's AI-native platform precisely stops the full spectrum of advanced email attacks—including phishing, business email compromise, vendor fraud, and emerging threats—by detecting anomalies among known normal behavior. 'Abnormal leverages AI-native technology to proactively detect and stop sophisticated cyber threats powered by malicious AI—threats that frequently evade traditional defenses,' said Kei Mitsuyama, Country Manager for Abnormal AI Japan. 'Our advanced AI-driven approach not only increases threat detection accuracy, but also simplifies operations, reducing the burden on already-stretched security teams.' The launch builds on Abnormal AI's momentum across the broader Asia-Pacific region, where the company is rapidly expanding its customer base and local teams to meet surging demand. 'We've seen remarkable growth across the region as organizations increasingly recognize the need for modern, AI-powered security solutions,' said Tim Bentley, Vice President of Asia-Pacific at Abnormal AI. 'Japan is a strategic market for us, and we're excited to partner with leading enterprises here to deliver better protection with less complexity.' Abnormal AI will be exhibiting at the Gartner Security and Risk Management Summit in Tokyo from July 23–25, where it will showcase its behavioral AI platform and discuss best practices for securing the modern workplace against today's most advanced threats. For more information about Abnormal AI and its email security solutions, please visit About Abnormal AI Abnormal AI is the leading AI-native human behaviour security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications. The anomaly detection engine leverages identity and context to understand human behaviour and analyse the risk of every cloud email event—detecting and stopping sophisticated, socially-engineered attacks that target the human vulnerability. You can deploy Abnormal in minutes with an API integration for Microsoft 365 or Google Workspace and experience the full value of the platform instantly. Additional protection is available for Slack, Workday, ServiceNow, Zoom, and multiple other cloud applications. Abnormal is currently trusted by more than 3,200 organisations, including over 20% of the Fortune 500, as it continues to redefine how cybersecurity works in the age of AI. Learn more at
Forbes
12-06-2025
- Business
- Forbes
People Are A Cybersecurity Liability—But They Could Also Be A Solution
Anyone who works in IT knows this basic fact about cybersecurity: People are the weakest link. As long as there has been cybercrime, scammers have exploited this fact. According to a new study from AI-powered cybersecurity company Abnormal, attackers tried to steal more than $300 million from companies through scam emails impersonating vendors in the last year. While you may be conducting trainings on email safety and continually testing employees with fake scam emails, the scammers are still successful. By monitoring activity in 1,400 organizations' email accounts, Abnormal found a 44.2% engagement rate with these fake emails. They were some of the most often replied and forwarded emails throughout company inboxes, with large companies' employees responding and forwarding them 72% of the time. And the vast majority of these incidents—98.5%—were not reported to the IT department. It's a difficult problem to solve. Abnormal found that most of the engagement with scam emails came from more entry-level employees, who are likely unaware of the extent of phishing emails and company processes. Adding a section on phishing email training to onboarding might not have the desired effect, considering new hires could be overwhelmed. Abnormal suggests using an AI-powered platform to scrutinize suspect emails, like ones that come from slightly misspelled domain names, or that ask for more information about past transactions in completely different email threads. But a more holistic approach might be leaning on education, so that people in the company better police their inboxes. If they know what to look for, are told the stakes, have an established reporting process and potentially earn rewards for stopping fraudsters, employees will have a reason to pay attention and care—something every IT department hopes they can find. AI is transforming everything about the way we do business. If you are ready and have a plan to utilize it, AI can take your business to the next level. If you aren't ready, your business could be left behind. Boomi CEO Steve Lucas wrote a book about preparing for the change called Digital Impact: The Human Element of AI-Driven Transformation. I talked to him about that transformation, and an excerpt from our conversation is later in this newsletter. Scale AI cofounder and CEO Alexandr Wang Meta is known for putting a deep stake in the ground around up and coming areas in technology, like the VR metaverse and AI-enabled smart glasses. This week, reports indicated it's making a big move toward the goal of AI 'superintelligence'—a system that outperforms human capabilities. Forbes' Rashi Shrivastava writes Meta has its eye on a 49% stake in AI evaluation startup Scale AI, reportedly costing it $14.8 billion. In this potential deal, Scale AI's CEO Alexandr Wang would join Meta as part of a new AI superintelligence lab. The New York Times reports Meta is also trying to woo other top AI figures to work for its new lab. Reports indicate that Meta CEO Mark Zuckerberg has grown impatient with the company's progress in AI so far, and this acquisition would help Meta close some of the distance between it and other top AI companies. Meanwhile, this week the Browser Company released the beta form of Dia, its generative-AI-enabled browser, writes Forbes senior contributor Barry Collins. Dia includes several features that allow generative AI to get to know users, as well as summarize and compare information open in different browser tabs. Its standout feature 'remembers' everything you do online: every tab you open, every search you do, the work you've been doing online, and even your writing style. Browser Company CEO Josh Miller said in a video introducing Dia that at the end of a week, month or year of browsing, Dia will 'know you as well as your closest friends and colleagues.' Collins notes the Browser Company doesn't provide details about how it would keep this information secure. Salesforce headquarters in San Francisco, California In the last month, three top tech companies made acquisitions in the data space worth nearly $9.3 billion, writes Forbes senior contributor Peter Cohan. Analytics company Databricks is spending $1 billion to buy cloud-based open source database company Neon. Salesforce is spending $8 billion to purchase data management provider Informatica. And data cloud service Snowflake is spending $250 million to buy data warehouse provider Crunchy Data. Cohan writes that these acquisitions have one thing in common: Many of the larger companies' customers are demanding better data platforms and organization in order to more effectively use AI. Apple CEO Tim Cook speaks during the Apple Worldwide Developers Conference (WWDC) on June 09, 2025 in Cupertino, California. This week was Apple's WWDC, its anticipated annual conference where the tech behemoth usually announces new software updates. This year, many of Apple's announcements were about AI, bringing more features through Apple Intelligence, which will come to devices with the iOS 26 update this fall, writes Forbes senior contributor Kate O'Flaherty. (Apple is changing its iOS naming conventions to be the same as the year they are released. Updated devices now run on iOS 18.5.) Some of the major updates include the ability to search and take action on whatever users are viewing across apps—they can ask ChatGPT for more information about what's onscreen and easily search across Google to find similar products. It can recognize when someone is looking at an event and suggest adding it to their calendar. It can screen text messages from unknown senders, keeping them silenced until users accept them. And it will be able to do live translation, which will be integrated into Messages, FaceTime and the phone itself—but the translations will stay on devices and remain personal. O'Flaherty writes that another new feature, reported on by MacRumors, will basically serve as a secure digital ID verification. The feature, called Verify with Wallet on the Web, will allow users to verify important ID details—like age when renting a car—without having to upload a photo of their actual ID. It will allow users to store state-issued IDs, driver's licenses and passports online for identification purposes. The data will be protected by end-to-end encryption, so the underlying data will only be accessible to the user. It will also prohibit the use of fake IDs. Last but not least, Apple is rolling out a refreshed design. Called Liquid Glass, it updates the traditional look of the iOS experience to look, feel and reflect like glass panels. The appearance of screens, toolbars, icons and functions themselves will become more reactive to touch and motion, and will feature more rounded corners. Apple is extending the Liquid Glass look to all of its platforms with the fall's operating system update. It's received mixed reviews so far. Steve Lucas Integration and data management platform Boomi CEO Steve Lucas realized that the capabilities and possibilities of AI were zooming toward businesses like a meteor—but with deep changes that could translate to a wipeout for businesses that aren't prepared and cannot embrace it. He wrote his new book, Digital Impact: The Human Element of AI-Driven Transformation, to look at what AI can do and help businesses take full advantage of the possibilities. I talked to Lucas about what companies need to do to not just survive, but succeed in the AI era. This conversation has been edited for length, clarity and continuity. How do you recommend a company get all of its data sprawl, apps used by various employees and departments, and legions of APIs under control? Lucas: The first thing is acknowledging you have a problem. The first thing is recognizing the digital fragmentation—a term I use frequently—exists and it is a real problem. The second thing is then assessing within your organization: What are the systems, the applications, the data, the business elements that I need to run and operate my business? What are the core things that I must absolutely have on a day-to-day basis? The third is mapping the processes within your organization, what I characterize as the hidden processes today. So think about this for a minute. How many CEOs could say: 'I know exactly how our income statement is assembled at this company… all the systems required to pull that data together … the spreadsheets that are sitting out there with the magic translation that my accounting team does.' Knowledge processes are very different than business processes. A business process is a manufacturing process, and I know every step that goes into the assembly. The knowledge process: Do I understand what elements go into the assembly of the income statement as a product? Most organizations don't have a good model for what their knowledge processes are, so you've got to inventory that. Once you do that, you have the ability to weigh: Here's my knowledge processes. Here's my business processes. What systems and applications do I really need to achieve this? Ultimately, where we're going with this is probably 75% to 90% of the knowledge processes that we rely on today, that human beings work on, will go to AI. How does the transformation to AI impact contracts you already have for SaaS and with other tech vendors? You can't rely on your suite anymore—rigid architectures, closed systems. By the way, these vendors know that they're in deep trouble. Your competitors, the ones that aren't weighed down with these rigid architectures, are building flexible, agent-driven, highly composable systems. You have to learn how to extract value from your existing stack, not invest in your existing stack. Companies are not going to win by replacing their core systems. Those are very, very expensive. I go back to a simple example: Hundreds of thousands of companies all over the world rely on antiquated billing systems that are 20, 30 years old. If I want to go in and have my billing system be more intelligent so it's not sending collection notices to my most important customers, the average company today has to spend tens or hundreds of millions of dollars upgrading their infrastructure just to do that. That doesn't make any sense at all. Keeping your existing technology, but making it more composable and more flexible with AI, that's where this stuff is going. The last thing I would say is silos are a massive liability. If you've worked really hard to create this stack that is siloed in nature, when you hear things like your competitors are moving more quickly, they're more nimble, it's because they've invested in an integration automation orchestration platform. What advice would you give to a CIO who is working toward bringing in AI agents and wants to make sure they're going about it the right way? Prioritize integration, automation and orchestration. Companies that do, that can build modern composable, AI-driven workflows, will win. Build your digital nervous system early. Invest in a platform layer that lets systems, data and agents communicate. Without that layer, your AI is blind and isolated; you'll build terrific AI that is totally unable to orchestrate meaningful workflows. I don't think we're in a 'rip and replace' world. I think we're in a 'wrap' world, where we can wrap our silos and our systems in intelligence and connectivity. Those systems that you already own, wrapping them in intelligence and connectivity is extraordinarily transformative. Lastly, create out of the gate your AI or agentic governance strategy before the chaos arrives. I met with a hospital network, and they said, 'Steve, we all have the technology now to build an amazing AI that could help a doctor look at test results and go, 'Holy cow, your creatinine level was super high,' and then it could figure out [potentially related conditions the patient was] here for once upon a time. What we can't bring together is our digital past. The data for that sits in a hundred different systems, and how do we also operate and access all of those systems in a highly regulated environment where HIPAA still matters? How do we protect your privacy at the same time?' As compelling as that future is that has arrived, we have to rationalize it with our digital past. Leadership is never easy, but it's especially challenging right now with a volatile business climate and rapidly changing economic projections. Here are five mental concepts from other disciplines that can help you lead through whatever the world throws at you. Successfully bringing AI to your business probably requires a massive cultural shift, which could be met with resistance. Here are some ways to build an AI-first culture, setting expectations around an AI transition. Last week, Walmart unveiled its generative AI-powered shopping assistant embedded in its app. What is it called? A. Walter B. Roly C. Rover D. Sparky See if you got the answer right here.
Business Wire
10-06-2025
- Business
- Business Wire
Abnormal AI Named to CNBC Disruptor 50 List for Second Consecutive Year, Showcasing Continued Innovation and Leadership in AI-Powered Cybersecurity
LAS VEGAS--(BUSINESS WIRE)-- Abnormal AI, the leader in AI-native human behavior security, has been named to the prestigious CNBC Disruptor 50 —a list spotlighting the most innovative and forward-thinking private companies transforming the economy. In its second consecutive year, Abnormal moved up to No. 25 on the list, reflecting the company's sustained momentum, scalability, and impact across the AI and cybersecurity landscape. Abnormal AI was selected for its significant business growth and transformative product ecosystem. The annual list is curated by CNBC's editorial team with input from data partners PitchBook and IBISWorld, and the Disruptor 50 Advisory Council, composed of experts in innovation and entrepreneurship who evaluate companies based on a blend of quantitative and qualitative insights. This award acknowledges how Abnormal is leveraging bold ideas, cutting-edge technologies, and scalable models to challenge incumbents and drive real-world impact. 'It's an incredible honor to be recognized as a CNBC Disruptor once again,' said Evan Reiser, CEO and founder of Abnormal AI. 'Earning this accolade for the second consecutive year validates our relentless focus on innovation, our commitment to our customers, and our continued creation of breakthrough technology that's reshaping the future of cybersecurity through the power of behavioral AI.' Since its founding in 2018, Abnormal AI has emerged as a category leader, protecting over 3,200 organizations, including more than 20% of the Fortune 500, with unparalleled speed and accuracy. Its behavioral AI platform has mitigated over $10 billion in annual risk, with adoption accelerating globally. The company has continued its strong trajectory by continuing to hit landmark milestones—launching breakthrough AI agents that reimagine security awareness training, achieving FedRAMP authorization in just 256 days, and announcing plans to expand into new countries across Europe and Asia. In addition to this back-to-back CNBC Disruptor 50 recognition, Abnormal has also been honored with several other accolades in recent months. A few of these distinctions include placement Fortune's Most Innovative Companies of 2025, making the CRN AI 100 as a top 20 hottest AI cybersecurity company for the second consecutive year, winning two 2025 Cyber Defense Magazine Global Infosec Awards for Cutting Edge Cybersecurity AI and Pioneering Email Security and Management, as well as securing spots on the Rising in Cyber 2025, SC Awards Europe (for Best Email Security Solution and Best Behavior Analytics/ Enterprise Threat Detection), and 2025 InfraRed 100. Michael DeCesare, president at Abnormal AI added, 'This recognition on the CNBC Disruptor 50 reinforces the traction that we are seeing in the market as appetite grows for AI-native solutions. Our go-to-market strategy is accelerating alongside this rising demand, especially as organizations across industries face escalating threats—including those powered by AI. We're turning the tables: using good AI to fight malicious AI.' For the full CNBC Disruptor 50 list, visit here. About Abnormal AI Abnormal AI is the leading AI-native human behavior security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications. The anomaly detection engine leverages identity and context to understand human behavior and analyze the risk of every cloud email event—detecting and stopping sophisticated, socially-engineered attacks that target the human vulnerability. You can deploy Abnormal in minutes with an API integration for Microsoft 365 or Google Workspace and experience the full value of the platform instantly. Additional protection is available for Slack, Workday, ServiceNow, Zoom, and multiple other cloud applications. Abnormal is currently trusted by more than 3,200 organizations, including over 20% of the Fortune 500, as it continues to redefine how cybersecurity works in the age of AI. Learn more at
