Today we are releasing an open automation framework, PyRIT (Python Risk Identification Toolkit for generative AI), to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.
Traditional tools no longer keep pace with the threats posed by cybercriminals. The increasing speed, scale, and sophistication of recent cyberattacks demand a new approach to security.
Cloud adoption is on the rise across the U.S. government, and there are many reasons why moving to the cloud is a strategic gain for federal agencies. Here are tips on how to leverage secure cloud computing to gain network-level control from anywhere.
Remote Desktop Protocol (RDP) is commonly abused by ransomware groups. Here are methods on how we can provide context and advice for administrators and responders looking to deal with RDP.
AI presents enormous opportunities for reducing inequalities and promoting inclusivity in developing regions, but its deployment must be guided by ethical practices and a conscious effort to integrate diversity and inclusion at every stage. We must leverage AI responsibly.
Every day, cyber threats become more sophisticated, putting your organization’s data, reputation, and bottom line at risk. Microsoft Copilot for Security equips your team with the most advanced AI tools available to detect and respond to the threats faster and more accurately than ever before.
Today’s security tools capture a wealth of data. Yet when incidents occur, threat data from siloed platforms can take hours or days to gather, analyze and act upon. Correlating threat data takes time, as does developing the right remediation plans, stopping the attack, and sharing the results with colleagues....
Corporate and cybersecurity leaders are starting to realize AI can be a pivotal ally in the fight against rising cyber threats. To illustrate, Microsoft Copilot for Security is already helping to streamline and enhance security operations and empower teams with AI-driven insights and efficiencies.
Beyond the hype, AI is transforming cybersecurity by automating threat detection, streamlining incident response and predicting attacker behaviors. Organizations are increasingly deploying AI to protect their data, stay ahead of cybercriminals and build more resilient security systems.
For over a decade, the HIPAA Security Rule has required covered entities and business associates to engage in risk analysis and management. But due to the recent surges in data breaches within the healthcare sector, it's time to embrace an information asset-based approach to risk analysis.
Federal agencies and Defense Industrial Base organizations need to protect data. They can use the CMMC program, the DOD Zero Trust Strategy, the cybersecurity Risk Management Framework and NIST SP 800-53 with built-in security solutions to mitigate data loss and insider risk.
In recent years, the adoption of public cloud infrastructures has surged, providing organizations with unparalleled flexibility and scalability. But this shift has also introduced a new set of challenges when it comes to protecting web applications and APIs that are hosted on these platforms.
How does an organization achieve peace of mind with security while overcoming the challenges of complex hybrid and multi-cloud networks? Here are the top reasons why your organization should consider implementing a cloud-native firewall service to protect your AWS environments and applications.
APIs have become increasingly popular as they are used to connect different systems, services and applications. But this makes them an attractive target for cybercriminals who want to exploits flaws and access sensitive data. Here are five critical reasons you need to conduct API security testing.
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