AI is reshaping the fight against digital threats. Learn how attackers are using AI to supercharge malware and social engineering—and how organizations can harness it to predict, detect, and stop cyberattacks in their tracks.
The trend toward remote working over the last several years has bred all kinds of tools intended to help us improve productivity and facilitate easier, faster digital communications with colleagues. So why does workplace productivity still feel impossible to achieve? Unfortunately, email—one of the most integral...
By collecting, analyzing, and leveraging data from security events, security analytics empowers teams to proactively detect anomalies and pinpoint vulnerabilities to mitigate targeted attacks, insider threats, and advanced persistent threats (APTs).
SEGs have performed admirably for many years, but they’re no match for this new generation of email attacks, and relying on outdated tools can have catastrophic consequences. By upgrading to a behavioral AI-based solution, you can defend against emerging threats and become more proactive in the fight against...
A head-spinning series of acquisitions and mergers is transforming the security information and event management (SIEM) market. Behind this market shakeup is the ongoing technological shift from traditional, manually intensive SIEM solutions to AI-driven security analytics.
The “Three Pillars” (people, process, and technology) management framework requires a delicate balance in order to achieve successful operations outcomes. Despite the ‘technology’ pillar dominating the conversation as of late, cybersecurity practitioners are the backbone of your organization's defense against...
We can't overlook the human factor. The adoption of Zero Trust is a response to the vulnerabilities that human actions can introduce, and AI is expected to bring greater automation to help organizations achieve their cybersecurity objectives faster.
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.
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.
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