Articles from Deep Instinct

Deep Instinct, the preemptive data security company built on the first and only AI-based deep learning framework for cybersecurity, today announced the general availability of DIANNA (Deep Instinct’s Artificial Neural Network Assistant). DIANNA works in tandem with the DSX Brain, the world’s first purpose-built deep learning (DL) cybersecurity “brain,” to deliver unprecedented explainability into unknown threats.

Deep Instinct, the preemptive data security company built on the first and only AI-based deep learning framework for cybersecurity, today released the sixth edition of its Voice of SecOps Report, which delves into the growing influence of AI in business, with a focus on its impact on Security Operations (SecOps). While AI adoption is accelerating, the findings uncover a more complex reality: security teams are limited by knowledge gaps, inconsistent implementation, and mounting operational pressures as they face an increasingly treacherous, AI-driven threat landscape.

Deep Instinct, the preemptive data security company built on the first and only AI-based deep learning framework for cybersecurity, today announced it has achieved “Deployed on AWS” status and been accepted into the exclusive AWS ISV Accelerate Program. These milestones reflect a deepening alignment between Deep Instinct and AWS, with a shared commitment to securing customer data as organizations accelerate their digital transformation.

Deep Instinct, the zero-day data security company built on the first and only AI-based deep learning framework for cybersecurity, today announced the launch of its 2025 Threat Report: The Changing Face of Global Threats, which provides in-depth analysis of the 2024’s most dangerous cyber threats and predictions for 2025 and beyond. The report highlights the rise of AI-driven attacks, the evolution of ransomware, and the growing geopolitical influence on cyber warfare.

Deep Instinct, the zero-day data security company built on the first and only AI-based deep learning framework for cybersecurity, today announced the launch of DSX for Cloud – Amazon FSx NetApp, delivering real-time prevention and explainability of zero-day attacks for NetApp workloads, wherever they reside.

Deep Instinct, the zero-day data security company built on the first and only AI-based deep learning framework for cybersecurity, today announced the launch of Deep Instinct DSX for Cloud – Amazon S3. As organizations increasingly rely on the cloud to power their digital transformation, businesses are generating and storing record amounts of data in the cloud. Cybercriminals know this and are leveraging generative AI to create sophisticated malware that evades existing security tools and takes advantage of the “assume breach” mindset.

Deep Instinct, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, today released the fifth edition of its Voice of SecOps Report, which examines AI’s increasingly large impact on cybersecurity, the continued over-reliance of reactive cybersecurity tools, related defender stress and burnout, and the promise of preventative strategies.

Deep Instinct, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, today announced the launch of Deep Instinct’s Artificial Neural Network Assistant (DIANNA), the industry’s first AI-based cybersecurity companion that provides explainability into unknown threats. DIANNA enhances Deep Instinct's prevention-first approach to cybersecurity through its expert-grade static malware analysis, something no other solution on the market can replicate.

Deep Instinct, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, today announced the launch of Deep Instinct Prevention for Storage (DPS). The new offering applies a prevention-first approach to storage protection, wherever data is stored – Network Attached Storage (NAS), hybrid, or public cloud environments – and seamlessly integrates into existing environments to deliver unparalleled efficacy and accuracy along with enterprise-grade scalability.

Deep Instinct, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, today released its 2023 Bi-Annual Cyber Threat Report, which details the most pressing cyber threats of the year.

Deep Instinct, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, released the fourth edition of its Voice of SecOps Report. The research – “Generative AI and Cybersecurity: Bright Future or Business Battleground?” – was conducted by Sapio Research and surveyed over 650 senior security operations professionals in the US, including CISOs and CIOs.

Deep Instinct, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, today announced the hiring of Jim Ortbals as its Vice President, Americas Channels and Ryan Vaupel as its Vice President, Operations.

Deep Instinct, the first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, today announced a new partnership with eSentire, a leader in Managed Detection and Response (MDR) cybersecurity services. This partnership will protect eSentire customers from unknown and zero-day attacks with efficacy and speed not delivered by any other MDR provider.

Deep Instinct, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, announced that Ed Carter has joined the company as Chief Revenue Officer. In this role, Carter will drive Deep Instinct's growth and expansion with enterprise customers, technology and channel partners, and MSSPs, by delivering on the prevention-first mission.

Deep Instinct, the first company to apply deep learning to cybersecurity, today announced an investment from PayPal Ventures. This investment further validates confidence in Deep Instinct’s unrivaled ability to see cyber threats well before other solutions can. The funding will help further accelerate Deep Instinct's growth, driven by its disruptive threat prevention technology.

Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, today released its 2022 Bi-Annual Cyber Threat Report. The newest edition of the report focuses on the top malware and ransomware trends and tactics from the first half of 2022 and provides key takeaways and predictions for the ever-evolving cybersecurity threat landscape.

Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, today announced that Lane Bess, former Palo Alto Networks CEO and Zscaler COO, is taking over as CEO, effective immediately. As an early investor and then Executive Chair of Deep Instinct’s Board, Bess has intimate knowledge of the company’s mission, innovation strategy, and ongoing operations. Under his leadership, Deep Instinct closed $62.5 million in new financing led by funds and accounts managed by BlackRock, alongside other existing investors, including Chrysalis Investments, Millennium, and Unbound. The latest investment will accelerate the growth of Deep Instinct as the company further penetrates the market with its disruptive threat-prevention technology.

Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, today announced the formal launch of its Stratosphere Managed Security Service Providers (MSSP) program. It’s designed to enable MSSPs to bring Deep Instinct to customers all over the world, increasing the security posture of their customers while growing their business. Deep Instinct provides a secure, multi-tenancy security platform that can effortlessly support a multitude of clients on a single solution.

Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, today delivered Deep Instinct Prevention for Applications, an agentless, on-demand, antimalware solution for the enterprise that is device and operating system agnostic. This new offering revolutionizes threat protection beyond the endpoint with flexible, deploy anywhere, in-transit file scanning via API to quickly return a malicious vs benign verdict at enterprise speed. It protects any web application or cloud storage from malicious content while fully ensuring data privacy.

Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, today announced the addition of Carl Froggett to its executive leadership team as Chief Information Officer to support accelerating growth and continued international expansion.

Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, today announced validation of its threat prevention capabilities by cybersecurity firm Unit 221B. The claims were validated through tests in categories including portable, unknown, custom designed attacks, and Python executables, as well as static, dynamic, network, behavioral analysis, and signature detection.

Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, today released the third edition of its annual Voice of SecOps Report. The study focused on the increasing and unsustainable stress levels among 1,000 C-suite and senior cybersecurity professionals across all industries and roles. The research found that 45% of respondents have considering quitting the industry due to stress, with the primary issues being an unrelenting threat from ransomware and the expectations to always be on call or available.

Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, today announced its new partner program, Stratosphere. The model flips the traditional program framework to instead focus on expected partner margins (as high as 35%), rather than discount, and is based on deal origination path – partner initiated vs. Deep Instinct initiated. Additionally, partners can earn incremental margin based on frequent-flyer style loyalty points earned through commitment to and investment in Deep Instinct rather than through volume bookings alone. The company plans to make the new Stratosphere program and loyalty points model available starting May 1, 2022.

Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, today announced the results of its first participation in MITRE Engenuity’s ATT&CK® Evaluations. This round emulated the malicious activities of the Wizard Spider and Sandworm Team threat groups, highlighting results across 30 vendors. The protection segment results validated the strength and robustness of Deep Instinct’s multi-layered, prevention-first approach and unambiguously highlighted the value of its platform. Deep Instinct also achieved exemplary detection coverage across various execution, persistence, and impact techniques emulated.

Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, today unveiled findings from its bi-annual Threat Landscape Report. The Deep Instinct Threat Research team extensively monitored attack volumes and types and then extrapolated their findings to predict where the future of cybersecurity is heading, determine what motivates attackers, and most importantly, lays out the steps organizations can take now in order to protect themselves in the future. One of the most pronounced takeaways from this research on 2021 threat trends is that bad actors are becoming more successful at evading AI/ML technologies, prompting organizations to redouble efforts in the innovation race.

Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, today announced the addition of three key channel executives to its global channel leadership team. Mike Saletta joins as Area Vice President of Americas Channels, Joe Santamorena joins as Area Vice President of Global MSSP Programs, and Phanneth Wood joins as Director of Global Distribution to help advance the company’s 100% channel GTM and continue to build strong channel engagement that allows partners to bring innovative security outcomes to their customers. The new hires join ahead of the launch of a groundbreaking new partnership program this spring.

Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, today announced the addition of two key leaders to the executive leadership team. These hires will broaden the company’s industry expertise and scale up the level of successful cyber experience. Scott Stout will be joining as Vice President of Americas Sales and Brian Feeney will be joining as Vice President of Global Channels and MSSPs.

Deep Instinct, the first company to build a purpose-built deep learning framework for cybersecurity, today released the second edition of its bi-annual Voice of SecOps Report. This latest survey follows its initial report from July 2021, which found that 83 percent of cybersecurity professionals were dissatisfied with current EPP and EDR solutions and feel that they deserve better.

Deep Instinct, the first cybersecurity company to build a threat prevention platform on a patented AI end-to-end deep learning framework, today announced a mid-year update to its acclaimed Annual Cyber Threat Landscape report, paired with pioneering product innovations to thwart the most sophisticated attacks seen in the industry today.

Deep Instinct, the first company to apply end-to-end deep learning based on the only purpose-built deep learning framework for cybersecurity, today launched its Voice of SecOps Report. This marks the first annual report to highlight current and emerging threats, the impact these have on the day-to-day lives of SecOps professionals, and how automation will play a significant role moving forward. In Deep Instinct’s new survey of 600 IT and cybersecurity professionals, more than half of the survey respondents noted ransomware or zero-day attacks as the biggest threats to their organization.

Deep Instinct, the first company to apply end-to-end deep learning, based on the only purpose-built deep learning framework for cybersecurity, announced today that it has successfully raised $100 million in Series D funding. The Deep Instinct platform can predict, prevent, and analyze cyberattacks at any touchpoint of the organization from the endpoint through to the network. This round was led by funds and accounts managed from BlackRock, with participation from Untitled Investments, The Tudor Group, an investment by Anne Wojcicki, and existing investors, including Millennium, Unbound, and Coatue Management, among others. This new capital doubles the investment to date, bringing the total funding to $200 million, and will fuel the company's aggressive growth plans for 2021 and beyond.