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Last week, Black Hat and DEF CON took Las Vegas by storm and Deep Instinct was there to join the fun. It was an exhilarating week, packed with networking events, speaking sessions, and a lively crowd. Here are our main takeaways and notable highlights you may have missed.

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<h5>As Vendors Continue to Tout “AI” Capabilities, Let’s Talk About Real AI</h5>Unsurprisingly, artificial intelligence (AI) continued to dominate onsite conversations, and similar to the RSA Conference earlier this year, both legacy and early-stage cybersecurity vendors felt compelled to tout “AI capabilities” in their marketing and booth collateral. But not all AI is created equal, and it sparked a conversation about the differences and nuances in AI technologies.Many cybersecurity vendors promoted generative AI capabilities that are tacked onto existing technologies, a marketing tactic used to remain relevant in today’s AI conversations. But AI is not their core competency, and it never will be – at the end of the day, their AI explains how you were breached, but doesn’t prevent it.We challenged booth visitors to ask vendors the hard-hitting questions about AI: Is it built on an archaic framework? Can it be air gapped? Is it the most advanced form of AI (deep learning), or just <a href="https://info.deepinstinct.com/deep-learning-vs-machine-learning-in-cybersecurity?_ga=2.51158817.941771334.1715708232-1517144758.1706129447">basic ML</a>? The answers will tell you everything you need to know about vendors’ AI promises.Deep Instinct is different from any other vendor in the market. Our deep learning (DL) cybersecurity framework prevents and explains unknown zero-day threats, so that security teams can both stop a breach before it happens and learn to predict the next attack. We’re a zero-day data security platform using the most advanced form of AI – developed before AI became a hot topic – to protect storage, applications, and endpoints, so your data remains secure regardless of where it resides.<h5>Proven Prevention: Deep Instinct Wins CRN Award During Black Hat</h5>During Black Hat, <a href="https://www.deepinstinct.com/prevention-for-storage">Deep Instinct’s </a><a href="https://www.deepinstinct.com/prevention-for-storage">Prevention for Storage (DPS)</a> product was recognized by CRN in its <a href="https://www.crn.com/news/channel-news/2024/the-2024-tech-innovator-awards">2024 Tech Innovator Awards</a>. From more than 320 applicants, DPS rose to the top. DPS provides data storage threat prevention across NAS and cloud storage environments, preventing &gt;99% of zero-day exploits, ransomware, and unknown threats in these storage repositories.<h5>Highlighting Our Two Speaking Sessions at Black Hat and DEF CON</h5>Capping off a memorable week were our two speaking sessions during Black Hat and DEF CON. First, our CIO and CISO, Carl Froggett, joined our VP of Global Sales Engineering, Brian Black, in a Black Hat session titled, “<a href="https://www.blackhat.com/us-24/sponsored-sessions/schedule/index.html#the-future-of-cybersecurity-embracing-prevention-first-strategies-in-the-age-of-edge-ai-42167">The Future of Cybersecurity: Embracing Prevention-First Strategies in the Age of Edge AI</a>.” The duo discussed the new era of localized large language models (LLMs) amid the advent of neural processing units (NPUs) and neural engines in devices from Qualcomm and Apple. They also walked attendees through the implications of edge AI and localized LLMs, while highlighting the urgent need for prevention-focused approaches to safeguard against these evolving threats.Then during DEF CON, Deep Instinct researchers Ron Ben-Yizhak and David Shandalov presented “<a href="https://defcon.org/html/defcon-32/dc-32-speakers.html">SHIM Me What You Got - Manipulating Shim and Office for Code Injection</a>,” introducing a novel and stealthy technique to apply malicious shims on a code injection process that does not require registry modification or SDB files and leaves no traces on the disk.“Hacker summer camp” is always an exciting time, but what made this year even more memorable was the meteoric rise in AI visibility, and discussions centered on how to fight AI with better AI. The answer is deep learning. See for yourself what’s possible by <a href="https://info.deepinstinct.com/request-a-demo?_ga=2.123317326.470551219.1723466942-635130100.1705001786&_gac=1.88354281.1722959687.CjwKCAjwk8e1BhALEiwAc8MHiIGA96vDs3I1qyodZhPZHrwQ9pTgxWo5NEpFFArfiOucUXEX-lSRCRoCAdcQAvD_BwE">requesting a Deep Instinct demo today</a>.

"Hacker Summer Camp" Recap: Black Hat, DEF CON, and the Growing AI Arms Race

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<h2>Another exciting, whirlwind <a href="https://www.rsaconference.com/marketplace/search/Deep-Instinct-1632843795585001DKrw" target="_blank">RSA Conference</a> (RSAC) has officially wrapped, and the cybersecurity industry is still buzzing over some of the vendor news over the past week. In case you missed it, here are some of our top highlights and key takeaways from RSAC 2024.</h2><h5>Not All AI is Created Equal: Deep Learning in the Spotlight</h5>Generative AI was a hot topic of discussion at RSAC and numerous vendors showcased new capabilities and implementations. But, despite all the excitement, it’s important to note that not all AI is created equal. Our Deep Instinct leadership team spent time with customers, prospects, press, and industry peers to raise greater awareness of our differentiated deep learning (DL) cyber capabilities. In contrast to many machine learning (ML) tools, our technology uses a far more sophisticated set of algorithms that traditional ML models cannot match – which is what makes our <a href="https://www.deepinstinct.com/platform" target="_self">Predictive Prevention Platform</a> so effective.From a media breakfast panel on the topic, to more intimate one-on-one conversations, our team was intent on evangelizing how the only way to effectively combat increasingly sophisticated AI-powered cyber threats is with DL.<figure style="text-align: center"><div data-img-caption-container="true" style="display: inline-block; text-align: center;"><a href="https://www.scmagazine.com/podcast-segment/12856-2024-rsac-3"><img asset_uid="blt789c574cea57f38d" alt="Fig 1_RSAC_Carl and Security Weekly.jpg" src="https://images.contentstack.io/v3/assets/blt1ec077b6b53d6b3e/blt789c574cea57f38d/6645438e16e6bf59d758f418/Fig_1_RSAC_Carl_and_Security_Weekly.jpg" width="auto" height="auto" style="text-align: center;"/></a><figcaption style="text-align: center;" style="text-align: center;">Our CIO Carl Froggett explains how DL combats cyber threats during his sit-down podcast interview with Security Weekly.</figcaption></div></figure><h5>Legacy Vendors Tout New AI Promises Based on False Claims</h5>It seemed every vendor felt compelled to promote their newest AI-based offerings, announcing a plethora of AI-related products and advancements, echoing past rushes to adopt and market new tech. While legacy vendors tack on generative AI capabilities to remain relevant, it is not their core competency; they merely use it to augment their existing solution set. In truth it only explains how you were breached. It doesn’t stop it.This short-sighted approach means the next breach will inevitably happen, forcing security teams to respond, over and over again. Instead of preventing incidents, these AI solutions still operate reactively, allowing disruptions to occur before attempting to mitigate the damage. This “assume breach” mindset is outdated and ineffective, contributing to industry fatigue and defender burnout.Cybersecurity buyers are jaded and skeptical. They’ve been burned before and can see that innovation is lacking. <a href="https://info.deepinstinct.com/deep-learning-vs-machine-learning-in-cybersecurity?_ga=2.51158817.941771334.1715708232-1517144758.1706129447" target="_self">Basic ML</a>, the type of technology nearly all vendors leverage and promote, cannot keep pace with rapidly evolving AI-powered threats, leaving investments feeling stale almost immediately after purchase.According to Gartner, global IT spending in 2024 is set to grow by 8% to $5.1 trillion, with 80% of CIOs planning to increase cybersecurity budgets to $215 billion – a 14.3% increase from the $188 billion spent in 2023. This surge in spending underscores the pressing need for more effective solutions.Here’s the grim truth: 2023 was the worst year on record for defenders, with ransomware payments hitting an all-time high of over $1.1 billion – and we’re on pace to break that mark this year. Despite spending the most as an industry, by any measure, we had the worst year ever. It’s time to wake up and realize our current methods are not working. The cybersecurity community needs to move away from the traditional reactive approach and turn to one rooted in prevention.<h5>Meet DIANNA, the Industry’s Only Prevention-First AI Cyber Companion</h5>In the lead up to RSAC, <a href="https://www.deepinstinct.com/dianna-ai-cyber-companion" target="_self">Deep Instinct’s Artificial Neural Network Assistant (DIANNA)</a> made its grand debut as the industry’s first DL-based cybersecurity companion to provide explainability into unknown threats. DIANNA is like having a virtual team of malware analysts and incident response experts that provide security teams with deep analysis into known and unknown attacks, explaining the techniques of attackers and behaviors of malicious files. What takes a senior SOC analyst hours using multiple tools, DIANNA does in seconds. Our new offering was also featured in CRN’s list of "<a href="https://www.crn.com/news/ai/2024/10-hot-ai-cybersecurity-tools-at-rsac-2024?page=10" target="_blank">10 Hot AI Cybersecurity Tools At RSAC 2024</a>.”No other technology vendor on the market today can replicate this level of analysis and explainability, further underscoring our prevention-first approach to cybersecurity. Given its uniqueness, DIANNA was the talk of the town at our busy RSAC booth.<figure style="text-align: center"><div data-img-caption-container="true" style="display: inline-block; text-align: center;"><img asset_uid="bltcc1a937c79745430" alt="Fig 2_RSAC_Deep Instinct Booth.png" src="https://images.contentstack.io/v3/assets/blt1ec077b6b53d6b3e/bltcc1a937c79745430/6645438f16e6bf2bf558f41c/Fig_2_RSAC_Deep_Instinct_Booth.png" height="auto" style="text-align: center;" /><figcaption style="text-align: center;" style="text-align: center;">The Deep Instinct Team on the floor at RSAC.</figcaption></div></figure>RSAC made it clear – Deep Learning is the answer to the question of how to predict and prevent the next cyber threat, before it becomes a problem. Deep Instinct can help organizations adopt a proactive, prevention-first approach to cybersecurity, leaving the “assume breach” mindset of EDR in the past once and for all.Want to see DIANNA and the Deep Instinct Prevention Platform for yourself? <a href="https://info.deepinstinct.com/request-a-demo" target="_self">Request a demo</a>.

RSAC Reflections: AI Takes Center Stage, But Deep Learning Reigns Supreme

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It’s officially Cybersecurity Awareness Month, a month-long collaborative effort led by the <a href="https://www.dhs.gov/CISA" target="_blank">Cybersecurity and Infrastructure Security Agency</a> and the <a href="https://staysafeonline.org/" target="_blank">National Cybersecurity Alliance</a> to raise awareness on how to stay secure online. This year, Deep Instinct is proud to be named an official Champion of Cybersecurity Awareness Month, a cause that further supports our mission of predicting and preventing known and unknown cyber threats.This Cybersecurity Awareness Month is unlike previous years due to the sudden rise of cyber attacks leveraging generative AI. Want proof? Our recent <a href="https://www.deepinstinct.com/voice-of-secops-reports">Voice of SecOps Report</a> found that 75% of security professionals witnessed an increase in attacks over the past 12 months, with 85% attributing this rise to bad actors using generative AI. This is a massive red flag for the C-suite and employees at large.<h5>Combatting AI Threats with Deep Learning</h5>Now, more than ever, attackers are leveraging AI to create new malware variants at an alarming pace. The issue is that current security mechanisms rooted in machine learning (ML) are ineffective against never-before-seen, unknown malware; they will only break down in the face of AI-powered threats.&nbsp;The only way enterprises can truly protect themselves against AI-generated threats is with a more advanced form of AI – specifically, Deep Learning. Any ML-based, legacy security solution is too reactive and latent to adequately fight back – especially legacy AV tools including Symantec, McAfee, BitDefender, TrendMicro, and Kaspersky. Learn more about why you should <a href="https://www.deepinstinct.com/deep-instinct-vs-competitors">get rid of your legacy and next-generation anti-virus (NGAV) tools</a>.What’s missing is a layer of Deep Learning-powered data security, sitting in front of your existing security controls, to predict and prevent threats before they cause damage. This is where Deep Instinct comes in – and the industry is taking note.<h5>An Award-Winning Predictive Prevention Approach to Security</h5>As a testament to our ability to predict and prevent cyber attacks before they happen, Deep Instinct has been honored with several industry awards over the past year. From product recognition to leadership honors, we are proud of our people, our technology, and our commitment to bolstering cybersecurity worldwide, through initiatives like Cybersecurity Awareness Month.Here are just a few notable 2023 recognitions for Deep Instinct:<ul><li>Deep Instinct was named the “<a href="https://aibreakthroughawards.com/2023-winners/" target="_blank">Best Deep Learning Company</a>” for the second consecutive year in the AI Breakthrough Awards, an award program that recognizes the top companies, technologies, and products in today’s global AI market.</li></ul><ul><li>Of the 18 vendors in the 2022 Gartner® Magic Quadrant™ for Endpoint Protection Platforms (EPP) report, Deep Instinct was the <a href="https://www.deepinstinct.com/news/deep-instinct-included-in-the-2022-gartner-magic-quadrant-for-endpoint-protection-platforms-epp">only new vendor added</a> for its ability to execute and completeness of vision.</li><li>Deep Instinct was listed as <a href="https://www.crn.com/news/security/the-20-coolest-endpoint-and-managed-security-companies-of-2023-the-security-100/6?itc=refresh" target="_blank">one of the 20 coolest</a> endpoints and managed security companies of 2023 in CRN’s The Security 100.</li><li>The team was named a finalist in the <a href="https://cybersecurity-excellence-awards.com/2023-cybersecurity-company-awards-winners/" target="_blank">Most Innovative Cybersecurity Company in North America</a> and the top <a href="https://cybersecurity-excellence-awards.com/candidates/deep-instinct-prevention-platform/" target="_blank">Cybersecurity Product/Solution in Ransomware Protection</a> in the 2023 Cybersecurity Excellence Awards.</li><li>Deep Instinct was also recognized by the 2023 Global Cybersecurity Excellence Awards, winning gold and achieving the highest ranking for <a href="https://cybersecurity-excellence-awards.com/2023-cybersecurity-industry-solution-awards-winners/" target="_blank">The Cybersecurity Industry Solution Awards</a> for its Deep Instinct Prevention for Applications Platform in the software category for North America.</li><li>The company was <a href="https://www.prweb.com/releases/2023/5/prweb19362068.htm" target="_blank">recognized as a finalist</a> and earned an honorary mention in the 2023 Fortress Cyber Security Awards alongside the world’s leading companies and products working to keep the world’s data and electronic assets safe from growing threats and attack vectors.</li></ul>In this new era of AI, it’s critical that you prevent cyber attacks, not just detect and respond to them after the fact like EDR. That’s not nearly enough in this AI-driven threat landscape. That’s why it’s time to dump the “assume breach” status quo and demand more. Learn why <a href="https://www.deepinstinct.com/endpoint-detection-response">EDR is NOT enough</a>.We’re proud to be a leader in raising awareness of this issue, while helping to bolster organizations’ cybersecurity posture during a time when it’s needed most. For more information about Cybersecurity Awareness Month, please click <a href="http://staysafeonline.org/cybersecurity-awareness-month/" target="_blank">here</a>. To learn how Deep Instinct can help your organization combat AI threats, <a href="https://info.deepinstinct.com/request-a-demo">request a demo</a>.

Deep Instinct Champions Cybersecurity Awareness Month 2023

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