cyberwarfare



Professional Public Relations Agency for AI, blockchain, IoT, cybersecurity, AR/VR startups

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David is amazing and efficient at pitching and quick to grasp our company's needs since day one. Him and his team have provided multiple coverage across both crypto and top tier media outlets within the few months of working together. Their response rate and follow through is exceptional for an industry such as PR. We look forward to continuing working with him and his team throughout 2019.


Shape Security: How This Unicorn Is Leveraging AI to Tackle Cybersecurity Crimes

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Key Takeaway: Shape Security, which became a unicorn last month after raising $183 million to date, has developed an AI-powered engine that helps distinguish humans from bots and protects businesses from an increasing threat of cyberattacks. It is now one of the fastest-growing companies in the U.S. When Chipotle customers across the country complained this […]


The threat of AI-powered cyberattacks looms large

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With damage related to cybercrime projected to hit $6 trillion annually by 2021, enterprises are putting more emphasis than ever on securing their digital and organizational assets. While rudimentary machine learning has played a role in cyber threats for some years, today there's talk of the looming threat of malicious AI: AI-powered cyber-attacks capable of causing massive damage worldwide without the involvement of human operators. To better understand the threats and opportunities presented by AI in the cyber security space, we went to the AI Summit San Francisco to catch up with Justin Fier, director of cyber intelligence and analytics at Darktrace – the company putting AI to work on cyber defense. Justin's background is in the US intelligence community, and today works with Darktrace's global customers on threat analysis, defensive cyber operations, IoT security, and machine learning. What are the key takeaways from your AI Summit keynote?



Artificial Intelligence – Security Friend or Foe?

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The annual cost of cybercrime is estimated to rise to $6 trillion by 2021.[1] Artificial intelligence (AI), frequently mentioned for its potential to accelerate innovation, boost performance and improve decision-making, is already being applied to defend against cybercrime. Because AI works well with functions that use massive amounts of data and require analysis and judgment, integrating AI-based cybersecurity technology with other defenses is a natural choice for cybersecurity professionals. Today, AI is used more extensively in cybersecurity than in any other function, with 75% of companies using AI technology to detect and ward off cyberthreats, according to the results of a recent global executive survey on AI conducted by Protiviti. Cybersecurity usage of AI is expected to grow nearly 20% by 2021.[2] AI's significant and compelling benefits come with new risks that need to be managed.


Boosting enterprise security with deep learning

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Businesses today continue to be bombarded by an increasing number of cyberthreats, as hackers become adept at identifying and exploiting vulnerabilities in security systems. A survey by the World Economic Forum ranked data theft and large-scale cyberattacks 4th and 5th in a list of the biggest risks facing our world. With cybercrime regularly hitting the headlines, regulators are implementing new security guidelines and costly fines for violations. Adding to the pressure are consumers who are increasingly prepared to abandon business with a company if they've been hit by a data breach. Businesses can't afford to turn a blind eye to cybersecurity, which has now become a top priority for enterprises.


Hackers Using AI to Make Cyberattacks More Effective

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Working in the cybersecurity field offers constant challenges. New threats from both internal and external sources emerge on a regular basis. Consequently, employees charged with protecting valuable assets like customers' Social Security numbers and proprietary company documents must stay up to date on new developments in cybersecurity. However, hackers also follow this pattern of constant learning to stay abreast of new ways to hack into organizations. Now, attackers are taking advantage of machine learning and artificial intelligence (AI) to increase the effectiveness of their cyberattacks.


Upcoming Trends of Machine Learning in 2020

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Enhanced Cyber Security approach has multiple layers of protection. Its spread across the computers, networks, programs, or data that we want to keep safe. Every day, around 230,000 malware samples are created by hackers stated Panda Security. Machine learning solution makes it easy to interact with customers. AI makes cybersecurity, better through the automation of a complicated process that detects cyber-attacks and reacts to cybersecurity breaches.


RPA: Strengthen and Simplify Your Cyber Security Operations

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Robotic process automation (RPA) uses machine learning (ML) and artificial intelligence (AI) to create a virtual workforce, able to handle repeatable tasks that require a human worker to perform. By using an RPA, companies can perform repetitive tasks faster, longer and with a reduced error rate allowing the workforce to focus on essential duties and responsibilities. In other words, companies have employees working like robots, performing jobs without thinking, why not have robots behaving like people for these tasks. Cybersecurity personnel and cybercriminals are in a constant state of war, automation and specifically RPA can help protect against malicious cyber intruders. Identification and prevention of zero-day attacks (an attack on an exploit the same day of its discovery) and elimination of any system weaknesses is the end goal of internal security teams.