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The motivations behind cyberattacks vary. The most common category of cyberattacks is nation-state attacks This type of attack is launched by cybercriminals representing a nation (usually Russia). Nation-state attackers usually target critical infrastructures because they have the greatest negative impact...
This approach operates as ablack-box method,meaning it doesn't go deeply into the inner workings of LLMs and is limited to inspecting only the model's outputs. This aspect is important because, in real-life situations, access to model internals is often unavailable. The attack stra...
Responsible artificial intelligence (AI) is a set of principles that help guide the design, development, deployment and use of AI—building trust in AI solutions that have the potential to empower organizations and their stakeholders.
To what extent is it a 'new research area' adding 'anticipating the actions of one's opponents' to traditional risk analysis [1, p. 852]? To what extent is it the application of already published principles to a modern set of problems, such as terrorism, biological attack, etc.? All ...
Below are two simple ways in which companies should implement to avoid adversarial attacks. Attack and learn before getting attacked Adversarial training is one approach to improve the efficiency and defense of machine learning and that is to generate attacks on it. We simply generate a lot of ad...
Adversarial simulation and ATT&CK Testing the techniques in ATT&CK against the environment is the best way to: Test controls and their efficacy Ensure coverage against different techniques Understand gaps in the visibility or protection Validate the configuration of tools and systems ...
AI systems and workflows running in the real world can be vulnerable to adversarial attacks. We’re working to make AI hack-proof.
insights — refined with threat activity from local threat hunts — gives defenders visibility into adversarial activities related to their environment. These refined insights are more relevant and enable security teams to better detect, investigate, and disrupt threats before and during an attack. ...
sophisticated techniques using malware to exploit vulnerabilities in systems. The "persistent" process suggests that an external command and control system is continuously monitoring and extracting data from a specific target. The "threat" process indicates human involvement in orchestrating the attack. ...