The onslaught of endpoint attacks delivers more and more data -- data that DevOps teams need to fine-tune existing products and invent new ones. Mining attack data to identify new threat patterns and correlations, then fine-tuning machine learning (ML) models and new products, is the goal. Gleaning new insights from endpoint attack data is a high strategic priority for market leaders. During his keynote at Palo Alto Networks' Ignite '22 Conference, Nikesh Arora, Palo Alto Networks chairman and CEO, said, "we collect the most amount of endpoint data in the industry from our XDR. We collect almost 200 megabytes per endpoint, which is, in many cases, 10 to 20 times more than most of the industry participants. Because we take that raw data and cross-correlate or enhance most of our firewalls; we apply attack surface management with applied automation using XDR."

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. The combination of Wi-Fi 6 and 5G mobility, combined with an increasingly wired and mobile world of internet of things (IoT) technology, promises to bring billions more devices onto networks in the coming years. This will have a profound impact on workplaces of the future, in ways that go far beyond the clear trends of remote employees and hybrid workforces. The world is entering a place where many people can seamlessly connect with fellow workers virtually from any location, with the workplace becoming more intelligent and hoteling becoming the norm. Examples include the ability to schedule a desk similar to seats at the movies or a flight, as well as the ability to crowdsource the temperature in the office.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Fast-growing ransomware, malware and endpoint-directed breach attempts are reordering the threat landscape in 2022. It's appropriate that RSA Conference 2022's theme is'transform,' as new threats continue to call for rapid changes in endpoint security. CISOs and CIOs are transforming their cloud infrastructure and hybrid cloud strategies, accelerating devops internally to produce new apps and platforms, and relying more on software-as-a-service (SaaS) apps than ever before to meet time-to-market goals. Vendors promoting cloud security, extended detection and response (XDR) and zero trust dominated RSAC 2022.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Gaps in cybersecurity tech stacks, especially in endpoint security and patch management, are increasingly leaving enterprises vulnerable to attacks. CISOs are focusing on how to drive new digital revenue strategies while reducing risk and protecting virtual workforces amidst the various threats. From cybercriminal gangs trying to recruit AI engineers, to state-funded Advanced Persistent Threat (APT) networks capable of simultaneously launching attacks across multiple attack vectors, cybercriminals are getting smarter all the time. Studies of job ads on the dark web show that those who know how to breach web services, have AI-based hacking skills and can capture privileged access credentials are the most in-demand.

Bad actors know all they need to do is find one unprotected machine identity, and they're into a company's network. Analyzing their breaches shows they move laterally across systems, departments, and servers, looking for the most valuable data to exfiltrate while often embedding ransomware. By scanning enterprise networks, bad actors often find unprotected machine identities to exploit. These factors are why machine identities are a favorite attack surface today. Organizations quickly realize they're competing in a zero-trust world today, and every endpoint, whether human or machine-based, is their new security perimeter.

Traditional endpoint protection is reactive, responding once something has happened. Endpoint protection with machine learning is proactive, capable of studying an almost limitless amount of network traffic, logging information and app installations for anomalous activity. "Security technologies with artificial intelligence capabilities have the potential to anticipate attacks and counter them in real-time," says Turner. "Given that cyberattacks occur in seconds, the speed brought by AI-driven security technologies is crucial." Because of the recent shift to remote learning, the number of endpoints has exploded.

Today, in the COVID-19 World, working from home has become an accepted corporate culture, giving rise to security challenges across industries. Enterprises are waking up to the importance of cybersecurity, with rising demand for cybersecurity services among businesses. With such a massive need for cybersecurity, many startups are working towards bringing artificial intelligence into the field and securing companies with their endpoint security. Sequretek is one such company that is known among the circles to use unconventional ways to detect security breaches and using AI to spot an attack from miles away and stop it before it can cause any real damage. Started in 2013 by Pankit Desai and Anand Naik, Sequretek is built on the foundation of'simplifying security' -- less complexity and driving down the cost of ownership.

President and Chief Executive Officer at Insight Enterprises, helping clients manage their business today and transform for the future. If 2020 taught us anything about cybersecurity, it's that strengthening corporate defenses against cyberattacks is increasingly dependent on managing user identities of those who access your network. We've gradually moved in that direction since the birth of the bring-your-own-device movement, which created the need to control access to business data from outside the four walls of the office. The rise of the cloud, edge computing and the Internet of Things (IoT) have led us further along the path, requiring new strategies for managing access to resources across increasingly heterogeneous technology environments. Then Covid-19 triggered a work-from-home stampede.

The top-funded companies on the recently-released list of top 100 most-promising AI companies to watch from CBInsights, a market intelligence company based in New York, include companies offering autonomous driving software, an AI System on a chip, endpoint security with AI, and a drug discovery company. The list, selected from a base of 6,000 companies, is based on business relations, investor profile, news sentiment analysis, R&D activity, a proprietary scoring system, market potential, competitive landscape, team strength and tech novelty, according to an account in TechRepublic. "This year's cohort spans 18 industries, and is working on everything from climate risk to accelerating drug R&D," stated CB Insights CEO Anand Sanwal. Companies on last year's list went on to raise $5.2 billion in additional financing, including 16 of over $100 million each. Some companies exited via merger or acquisition, IPOs or SPACS.

Constant security threats and increasing vulnerability can be reasons that require you to work on improving endpoint security. You will observe that a lot of security threat is outside the corporate firewall, which makes it easier to target the security within the devices. Companies are looking to invest in risk management as well as information security for the betterment of the security structure and to enhance the overall security system and establishment of the company. In fact, if a report from Gartner is to be believed, then companies will be seen investing close to $175.5Bn in endpoint security by the year 2023. This will include infrastructure protection as well as data security and cloud security . Another report from Capgemini suggests that enterprises will need to rely on AI and Machine Language as well as other current technologies to improve security and fight against cyber attacks.