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We have now reached the Third wave of AI: Contextual Reasoning. This revolutionary approach, pioneered by MixMode in cybersecurity, utilizes self-supervised and explainable AI to independently learn and adapt without reliance on rules or training data.
Unlocking the Power of True AI: MixMode’s Cutting-Edge Cybersecurity Solution Read More →
There’s bad news and not-so-bad news in the world of cybersecurity. In a recent report, Google revealed a significant rise in zero-day attacks, those exploiting previously unknown software vulnerabilities. However, despite the increase, there’s a silver lining.
Zero-Day Attacks on the Rise: Google Reports 50% Increase in 2023 Read More →
While a significant portion (53%) of respondents acknowledge their organization’s early-stage adoption of AI, only 18% report full deployment into integrated security programs. This cautious approach reflects the need for careful planning and implementation to ensure AI enhances, rather than hinders, security posture.
Navigating the Maze: A Measured Approach to AI Adoption in Cybersecurity Read More →
The cybersecurity landscape is under siege. Organizations are bombarded by a relentless barrage of security alerts, often exceeding a staggering 22,111 per week on average. While Artificial Intelligence (AI) has emerged as a powerful tool to manage this overwhelming volume, its effectiveness isn’t without limitations, as vendors flood the market with false advertising and promises.
The AI Advantage: Mitigating the Security Alert Deluge in a Talent-Scarce Landscape Read More →
This week, we’re looking into how the rise of artificial intelligence (AI) has significantly altered the threat landscape, introducing challenges and opportunities for organizations seeking to safeguard their data and infrastructure.
The Evolving Threat Landscape: Why AI is Essential for Cybersecurity Success Read More →
The terms “machine learning” and “artificial intelligence” are frequently used in cybersecurity, often interchangeably, leading to confusion about their precise meanings and applications. Both machine learning and artificial intelligence play pivotal roles in fortifying cybersecurity defenses, yet they encompass distinct methodologies and applications. What are the disparities between them? And how do these technologies converge to bolster cyber resilience?
A new report from Microsoft and Open AI shows how attackers are increasingly using artificial intelligence (AI) to improve their cyberattacks. The report found that nation-backed groups use LLMs for research, scripting, and phishing emails.
Chat GPT and Nation-State Attackers: A New Era of AI-generated Attacks Read More →
Despite AI’s potential to help defend against cyber attacks, AI adoption in cybersecurity practices remains in its early stages. Why is this the case, and how can organizations overcome these hurdles to pave the way for a secure future?
As cyber threats grow more sophisticated, organizations are starting to turn to artificial intelligence (AI) to reinforce their security operations. But how widespread is the adoption of AI, and how effectively is it being leveraged?
The Current State of SOC Operations Shows The Escalating Need for AI in Cybersecurity Read More →
Organizations continue to face increasingly sophisticated cyber threats that require a proactive and adaptive approach to cybersecurity. As the volume and complexity of security data grows, security professionals are turning to advanced AI technologies to enhance their capabilities and stay ahead of emerging threats.
Harnessing the Power of Advanced AI to Optimize Security Read More →
Hackathon events like Pwn2Own Automotive 2024 play a crucial role in shedding light on zero-day attacks and significantly benefit security teams in several ways. These events bring together talented security researchers, ethical hackers, and industry professionals to uncover and demonstrate vulnerabilities in automotive technologies, including zero-day exploits.
Driving Towards Zero-Days: Hackers Take Turns Uncovering Exploits at Pwn20wn Read More →
As organizations grapple with the limitations of legacy security controls in the face of increasingly sophisticated cyber threats, integrating AI-driven threat detection and response capabilities presents a compelling opportunity to bolster their defenses.
Augmenting Legacy Controls with AI-driven Threat Detection and Response Read More →
The emergence of AI-generated attacks represents a paradigm shift in the cyber threat landscape, posing unprecedented challenges to traditional security solutions. Legacy solutions struggle to contend with intelligent attack automation techniques employed by threat actors, and the overwhelming flood of new malware samples and indicators makes it harder to defend against these attacks.
Limitations of Legacy Cybersecurity Solutions Against AI-generated Attacks Read More →
As we step into 2024, the world of cybersecurity is poised for significant changes. With the rapid evolution of technology and AI, the threat landscape is constantly shifting, presenting new challenges for individuals and organizations alike.
Cybersecurity Predictions for 2024: What Lies Ahead and How to Defend Against It Read More →
The history of cybersecurity is a tale of constant evolution, marked by the rise and fall of various defense mechanisms in the face of ever-changing threats. Security tools such as antivirus software and firewalls have long been the stalwarts of cyber defense, forming the bedrock of protection for organizations worldwide. While effective in their time,
Gartner recently released its report Emerging Tech: Top Use Cases for AI in Threat Detection, Investigation, and Response, highlighting how security leaders utilize artificial intelligence (AI) to enhance detection, streamline investigations, and automate response to cyber threats. With increasingly frequent and sophisticated attacks, AI represents a crucial opportunity to augment human security teams.
Unveiling the Power of AI: Revolutionizing Threat Detection, Investigation, and Response Read More →
AI-driven threat detection and response solutions can significantly enhance the defense against ransomware attacks. These solutions provide advanced capabilities for detecting, analyzing, and responding to ransomware attacks.
Fighting Fire with Fire: AI and the Battle Against Ransomware Read More →
Defense-in-depth is a cybersecurity strategy that emphasizes deploying multiple layers of security controls and countermeasures to protect critical assets and mitigate the impact of potential attacks.
Defense-in-Depth: A Comprehensive Approach to Modern Cybersecurity Read More →
PwC’s survey findings are similar to what we found in our State of Cloud Security Report, released September 2023. The report reveals significant cloud security concerns, gaps in capabilities and skills, over-reliance on legacy tools, and a need for real-time and unified solutions to provide robust protection across complex multi-cloud environments.
Overcoming Cloud Security Challenges: The Power of Cloud-Native AI-Driven Solutions Read More →
One of the key areas that the Gartner report highlights is AI Enhanced Security Operations. The research observes that most AI development in security products so far has focused on detecting threats, but there is increasing potential to use AI to improve security operations and incident response.