The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Filter
Locations
Result types
Type of company
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
Lock keywords
Exclude keywords
Optional keywords
Seattle, United States
11-50 Employees
2014
DarkLight rises to this challenge with a mission focused on dismantling information silos. We are an AI cybersecurity company providing clients with a simple, holistic, and continuously prioritized view of their cybersecurity risks and posture. We are seeking organizations who have realized the need to move beyond playing whack-a-mole and are focused on building measurable cyber resiliency. Integrating a knowledge-driven AI cybersecurity solution like DarkLight's Cyio can significantly alleviate these challenges, providing a robust defense mechanism. By harnessing the power of knowledge-driven AI, DarkLight's solution enhances the ability to swiftly identify, understand, and manage threats, reducing the dependency on manual analysis and paving the way for a fortified security posture. Results oriented, culture focused leader of DarkLight, Inc. Spent 6 months due diligence before joining and investing in DarkLight. Our state-of-the-art AI ensures rapid delivery of risk analysis and reporting.
+
Featured
Knowledge-Driven AI Cybersecurity Solutions for MSPs.
... AI Cybersecurity Company - Risk Management | Darklight. ...
Coimbatore, India
1-10 Employees
2021
We can guide you if your idea will fly or not through highly custom built idea valuation.
+
Featured
AI & Cybersecurity Consulting
... AI & Cybersecurity ...
New York, United States
51-100 Employees
2015
Arcanna.ai was founded in 2019 by long-time experts in security and network operations. With Arcanna.AI by your side, you can focus on what truly matters: strategic goals, creative problem-solving, and staying one step ahead of cyber threats. Arcanna.ai integrates information from SOC tools and processes, enhancing decision-making and automating post-decision actions. Discover how Arcanna.ai's innovation addresses cybersecurity challenges and transforms your approach to decision intelligence. Originally standing for Automated Root Cause Analysis-Neural Network Connection, Arcanna.ai evolved after extensive research and a patent into an AI-powered tool by 2019, to enhance critical decision-making and address the evolving demands of SOC professionals. Current SOC practices heavily depend on human experts for decision-making. The sole decision intelligence AI platform dedicated to enhancing human decisions in the SOC, agnostic to the tools and processes utilized by the analyst team.
+
Featured
The Ultimate Human-AI Partnership in Cybersecurity
... Streamline your operations and scale your team's capacity while retaining institutional knowledge with the help of AI-Assisted Cybersecurity ...
Boston, United States
1-10 Employees
2016
Their entrepreneurship experience and expertise in AI and Fintech will be extremely valuable to Listo as we scale our social impact by democratizing access to financial services.”. A 501(c)(3) non profit dedicated to closing the wealth gap.
+
Featured
Mendoza Ventures – Investing in AI, Cybersecurity and Fintech
... Mendoza Ventures – Investing in AI, Cybersecurity and ...
Addison, United States
251-500 Employees
2010
We specialize in overhauling and modernizing solutions for businesses that aspire to attain a comprehensive 360-degree view of spend and business activity. Our expertise lies in migrating legacy business data to cloud-based big data infrastructure, ensuring that client can take full advantage of the latest technological advancements. At RTS, our team of architects and specialist engineers bring extensive knowledge and experience in data engineering, big data, and data analytics to collaborate with your business and implement cutting-edge technologies for business intelligence and big data infrastructure. We employ the most suitable technologies throughout the entire data life cycle, from data capture and ingestion, to storage and analytics. Our team is skilled in designing and deploying solutions for the complete data journey, ensuring that all activities are closely monitored and tracked.
+
Featured
Home - SAP | Cloud Services | Digital Transformation | ERP Modernization | AI, ML & RPA | Cybersecurity I IOT | MicroSourcing
... Resolve Tech Solutions offers SAP, Cloud Services, Digital Transformation, ERP Modernization, AI, ML & RPA, Cybersecurity, MicroSourcing, and IoT solutions. ...
London, United Kingdom
1-10 Employees
2013
NeatlyWeb Solutions is a cutting-edge professional services company. We are a team of experienced professionals dedicated to providing top-notch services that empower businesses and individuals to achieve their goals in the digital space. With a wealth of industry experience and a team of highly skilled experts, we are dedicated to delivering cutting-edge solutions to our clients. We believe that success is built on trust, and that's why we work closely with our clients to understand their unique needs and develop customized solutions that meet their specific goals.If you're looking to take your business to the next level, look no further than NeatlyWeb Solutions. We offer a unique combination of services under one roof, excelling above others. We leverage the latest technologies and industry best practises to deliver innovative and scalable solutions tailored to our clients' specific needs. We offer a range of services, from developing and executing marketing strategies to providing business consulting and training services. We use a data-driven approach to ensure that our services deliver measurable results, and we constantly monitor and adjust our strategies to ensure that our clients stay ahead of the competition.
+
Featured
Ecommerce Consultancy & Services - NeatlyWeb Solutions | AI & ML, Cybersecurity, Consultancy, Web & Business Services
... Ecommerce Consultancy & Services - NeatlyWeb Solutions | AI & ML, Cybersecurity, Consultancy, Web & Business ...
Olney, United States
11-50 Employees
2013
CCG provides a complete self-contained cyber defense enterprise security appliance called CheckMate which implements an Advanced Persistent Defense (APD) with zero trust cybernetic security architecture powered by Phen.AI. CheckMate is a powerful cybernetic security solution driven by Phen.AI with SIEM on Steroids, Red and Blue Team exercises, and Penetration Testing and Vulnerability Scanning. This offer includes 18 of the 20 SANS Critical Controls in an affordable package, deployed within a two-hour implementation. CheckMate is leading the evolution of artificial intelligence (AI) in Cybersecurity. CheckMate provides real-time network and endpoint monitoring, signature alerting, profiling, and anomalous activity detection. CCG provides 100% coverage of your network 100% of the time and verifies all connections to networked systems through both passive and active penetration testing and vulnerability scanning, preventing hidden and dark spots for the bad actors to gain a beachhead and hide. CheckMate is a complete self-contained cyber-defense security solution with Phen.AI, an Artificial intelligence Subject Matter Expert (SME) comprised of various components, including but not limited to Phen.AI, CanSecure, NeTERS, and SmartLog Analyzer. Phen.AI provides you with the following core capabilities;.
+
Featured
AI Cybersecurity Software Solution Company, CheckMate | Phen.ai
... AI Cybersecurity Software Solution Company, CheckMate | Phen. ...
Rome, Italy
1-10 Employees
2021
DeepInspect’s solution embodies simplification by transforming a complex problem into an easy solution. The DeepInspect expert team has unique capabilities particularly in regard to engineering, patents, sales, and marketing. DeepInspect holds excellent internal skills developed in the cybersecurity industry that will leverage on a cross selling strategy with an already known customer base. DeepInspect’s platform includes the possibility of third-party system integration such as, SOC/SIEM or risk analysis tools. DeepInspect’s platform includes the possibility of third-party system integration such as SOC/SIEM or risk analysis tools. DeepInspect’s platform can be easily integrated with other cyber solutions and can accommodate third party integration. Military and government backgrounds became an inspiration for DeepInspect’s solution. Inventor Antonio Mauro, Founder and CEO of DeepInspect, holds over 20 years of international experience in the cybersecurity field along with a military and government background that became an inspiration for DeepInspect’s solution.
+
Featured
Products and Services - DeepInspect - OT Cybersecurity & AI
... Products and Services - DeepInspect - OT Cybersecurity & AI ...
Buckingham Township, United States
1-10 Employees
2018
The Altasparq team provides a commitment to excellence in a timely manner like no other technology partner. Chatbot is an innovative way to communicate and provide a better customer experience using artificial intelligence and Natural Language Understanding. We use our Hub of Experts to fill gaps in missing skillsets and augment peak workloads. Collect and analyze a person’s verbal and nonverbal data with machine learning tools to provide valuable insights to their emotions. Software defined storage provides a flexible storage platform that supports high availability and low latency scalable networks.
+
Featured
Emerging Tech | Altasparq | United States
... AI-Cybersecurity ...
New Zealand
1-10 Employees
2021
This experience provided me with a profound understanding of data and its impact on people's lives.
+
Featured
Creating Business Value from Data & AI with services like Insightful Analytics, Data Strategy, Advanced Analytics, AI Training and Awareness, and AI for Cybersecurity
... Creating Business Value from Data & AI with services like Insightful Analytics, Data Strategy, Advanced Analytics, AI Training and Awareness, and AI for Cybersecurity ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for AI Cybersecurity
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 170 |
| Amount of suitable service providers | 144 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2010 |
| Youngest suiting company | 2021 |
20%
40%
60%
80%
AI Cybersecurity refers to the amalgamation of artificial intelligence technologies with cybersecurity practices to identify, prevent, and mitigate cyber threats more efficiently and effectively than traditional methods. This innovative approach leverages machine learning algorithms and data analysis to predict potential vulnerabilities, detect unusual behavior patterns that may indicate a breach, and automate response strategies. By constantly learning and adapting to new threats, AI-driven cybersecurity systems offer a dynamic defense mechanism that can keep pace with the rapidly evolving digital landscape. The impact of AI in cybersecurity is profound; it not only enhances the speed and accuracy of threat detection but also significantly reduces the time and resources required for threat response. Moreover, it allows cybersecurity professionals to focus on more strategic tasks by handling routine monitoring and defense measures autonomously. However, the integration of AI into cybersecurity also raises concerns regarding privacy, data protection, and the potential for AI-driven attacks. As such, the development and deployment of AI in cybersecurity necessitate a careful balance between technological advancement and ethical considerations. In essence, AI cybersecurity represents a critical evolution in the ongoing battle against cybercrime, offering a smarter, more proactive approach to safeguarding digital assets and information in an increasingly interconnected world.
1. Enhanced Threat Detection
AI cybersecurity systems can analyze vast amounts of data at incredible speeds, identifying potential threats faster and more accurately than traditional methods. This capability allows for real-time threat detection, significantly reducing the window of opportunity for cyber attackers.
2. Proactive Security Measures
Unlike conventional security systems that react to threats after they occur, AI-driven cybersecurity can predict and prevent attacks before they happen. By learning from past incidents and analyzing patterns, AI can anticipate and neutralize threats, offering a proactive approach to cybersecurity.
3. Reduced False Positives
AI algorithms are adept at distinguishing between legitimate activities and potential threats, thereby minimizing the occurrence of false positives. This precision improves the efficiency of security teams, allowing them to focus on genuine threats rather than investigating benign activities.
4. Continuous Learning and Adaptation
AI cybersecurity solutions continuously learn and evolve by analyzing new threats and adapting their defense mechanisms accordingly. This dynamic approach ensures that the security system remains up-to-date and effective against the ever-changing landscape of cyber threats.
While evaluating the different suppliers make sure to check the following criteria:
1. Technological Expertise
Ensure the supplier has a strong background in AI technologies and cybersecurity, with a proven track record of developing and implementing successful solutions.
2. Data Privacy and Compliance
The supplier must adhere to international data protection regulations (like GDPR) and have solid policies in place to safeguard sensitive information.
3. Scalability and Flexibility
Choose a supplier that offers scalable solutions to grow with your business and can adapt their offerings to meet your specific needs.
4. Customer Support and Service
Prioritize suppliers that provide robust customer support, including training, maintenance, and troubleshooting services, to ensure smooth operation.
5. Integration Capabilities
The AI cybersecurity solution should seamlessly integrate with your existing infrastructure, minimizing disruption and maximizing efficiency.
6. Reputation and Reviews
Research the supplier's reputation within the industry, including customer testimonials and expert reviews, to gauge reliability and effectiveness.
AI cybersecurity has rapidly become a cornerstone in the defense mechanisms of businesses across various sectors. One prominent use case is in threat detection and response. AI algorithms can analyze vast amounts of data in real-time, identifying patterns indicative of cyber threats, thus enabling companies to react swiftly and mitigate potential damages. This capability is especially crucial in industries like finance, where the cost of data breaches can be astronomical. In the realm of fraud prevention, AI-powered systems excel by learning from historical transaction data to flag anomalies that could indicate fraudulent activity. This application is particularly valuable in the e-commerce and banking sectors, where rapid detection can prevent unauthorized transactions, saving businesses substantial amounts of money. Another significant application is in network security, where AI tools monitor network traffic to identify unusual behaviors that may signify a breach or an attack attempt. This is crucial for industries reliant on extensive digital networks, such as telecommunications and IT services, ensuring the integrity and availability of their services. Lastly, AI enhances cybersecurity through automated compliance monitoring, particularly important for sectors like healthcare and legal services, where data protection regulations are stringent. AI systems can continuously review and ensure adherence to these regulations, reducing the risk of costly legal penalties and reputational damage.
AI cybersecurity is currently estimated to be at a Technology Readiness Level (TRL) of 6 to 7. This designation indicates that AI-driven security solutions have moved beyond theoretical research (TRL 1-3) and formulation of concepts (TRL 4) to the stages where representative models or prototypes have been tested in relevant environments (TRL 5-6) and are now being demonstrated in operational environments (TRL 7). The progression to this TRL is driven by significant advancements in machine learning algorithms and increased computational power, enabling the analysis of vast datasets for threat detection and response in ways previously unattainable. Furthermore, the integration of AI into cybersecurity has shown promising results in identifying and neutralizing novel threats more efficiently than traditional software-driven approaches, which rely heavily on predefined threat databases. These technical milestones reflect a growing confidence in AI's potential to revolutionize cybersecurity practices by offering more adaptive, proactive, and intelligent solutions. However, it's also understood that reaching full operational capability (TRL 9) necessitates overcoming current limitations around data privacy concerns, the potential for AI to be exploited for malicious purposes, and ensuring AI systems can adapt to the rapidly evolving cyber threat landscape.
In the Short-Term, AI-driven cybersecurity systems will prioritize enhancing real-time threat detection and response. Leveraging machine learning models, these systems will become adept at identifying subtle patterns indicative of cyber threats, significantly reducing false positives. The focus will be on automating routine security tasks, thereby allowing human analysts to concentrate on more complex security challenges. Integration with existing security tools will improve, ensuring a seamless cybersecurity ecosystem that rapidly adapts to new threats. The Mid-Term phase will witness the evolution of AI cybersecurity into more proactive, predictive models. Systems will not only detect and neutralize threats but also anticipate vulnerabilities and attacks before they occur, using sophisticated predictive analytics. This period will see the emergence of self-learning AI systems capable of adjusting their security protocols based on ongoing threat analysis. Collaboration between AI systems across different platforms will enhance collective cybersecurity intelligence, creating a more fortified defense network against cyberattacks. In the Long-Term, the fusion of AI with quantum computing will revolutionize cybersecurity. Quantum-resistant encryption methods developed to withstand quantum computing attacks will become standard. AI systems will operate at unprecedented speeds, enabling real-time defense against even the most sophisticated cyber threats. The long-term vision includes the creation of fully autonomous, self-healing networks that can detect, defend, and repair themselves without human intervention, representing the pinnacle of AI-driven cybersecurity innovation.
Some interesting questions that has been asked about the results you have just received for AI Cybersecurity
What are related technologies to AI Cybersecurity?
Based on our calculations related technologies to AI Cybersecurity are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of AI Cybersecurity?
Which industries are mostly working on AI Cybersecurity?
The most represented industries which are working in AI Cybersecurity are Information Technology, Privacy and Security, Software, Professional Services, Science and Engineering
How does ensun find these AI Cybersecurity Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
