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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.
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.
A briefing by the FBI’s Counterintelligence Division highlights the massive potential of artificial intelligence (AI) for advancing cybersecurity and the looming risks of adversaries weaponizing AI for attacks.
Generative AI tools have the potential to enhance various aspects of cybersecurity, from data augmentation and malware detection to anomaly detection and security testing. By harnessing the power of Generative AI, organizations can strengthen their defenses, improve threat detection capabilities, and enhance their overall cybersecurity posture.
In partnership with Ravenii, our 60-minute talk was hosted by MixMode’s Head of Sales and Alliances, Geoff Coulehan, CEO of Ravenii, Jeff Shipley, and MixMode’s CTO & Chief Scientist, Igor Mezic. They discussed key topics including:
Organizations are exclusively depending on selective information forwarded to the SIEM. The information that inevitably exists outside the system of record — information relevant for zero-day attacks — is ignored.
In what the New York Times is calling, “One of the most sophisticated and perhaps largest hacks in more than five years,” malicious adversaries acting on behalf of a foreign government, likely Russian, broke into the email systems of multiple U.S. Federal agencies including the Treasury and Commerce Departments.
MixMode CTO and Chief Scientist, Igor Mezic, recently contributed an article for Techiexpert that examines three modern AI adversarial attacks, the financial toll they are having on some of our most important systems (including healthcare), and how predictive, third-wave AI is the only future-proof cybersecurity solution to protect organizations from these intelligent attacks.
The following is an excerpt from our recently published whitepaper, “Self-Supervised Learning – AI for Complex Network Security.” The author, Dr. Peter Stephenson, is a cybersecurity and digital forensics expert having practiced in the security, forensics and digital investigation fields for over 55 years. Section 4 – Why Training Matters – And How The Adversary …
Why Training Matters – And How Adversarial AI Takes Advantage of It Read More →
Phishing scams feeding off of Coronavirus fears have taken advantage of the current state of national emergency to trick concerned citizens into opening malicious PDF’s claiming to help protect them from the disease.
Although a relatively new corporate position, Chief Information Security Officers (CISOs) are becoming an integral part of the corporate hierarchy as enterprises begin to take security concerns more seriously. It’s a smart move considering that in 2019 security breaches cost companies on average $3.92 million. Now in 2020, CISOs are facing accelerating old threats along with some brand new ones. Here are the top eight CISO concerns of 2020:
At MixMode, we can’t help but imagine the flip side of all that potential. An increasingly connected cyber landscape means an increased number of potential targets for bad actors. New tech is exciting, but it’s often inherently vulnerable to cyberattacks.