As AI tools infiltrate workplaces, experts warn of new cyber risks like Shadow AI, data leakage, and prompt injection. Discover the strategies and technologies businesses need to securely harness artificial intelligence without falling victim to its threats.
A newly patched vulnerability in OpenSSL could have leaked sensitive data due to a memory verification error. Here’s how the flaw was found, which versions are at risk, and why rapid patching matters.
AI agents are transforming business, but their invisibility creates new security risks. Learn how hackers target these digital workers—and how you can protect your company’s data.
Attempts to ban AI-powered browsers in the workplace echo the failures of Prohibition. Instead of stopping risky behavior, bans push it underground, making threats harder to detect. History shows that regulation and smart controls—not blanket bans—are the key to balancing productivity and security.
New research shows that the real key to trusting AI in cybersecurity isn’t just using it—it’s governing it. Explore why formal policies, not just technology, are now the frontline in the battle for secure, trustworthy AI.
AI is exposing and amplifying the same security flaws that plagued early cloud adoption. With data opacity, unpredictable model behavior, and mounting economic pressures, organizations face new monsters lurking in the digital shadows.
As generative AI tools proliferate in the workplace, vendors like Tenable are launching new solutions to detect and govern unsanctioned 'shadow AI' and prevent sensitive data exposure. Here’s how the security arms race is unfolding.
Popular PDF generation libraries have been found to harbor critical vulnerabilities, from unauthorized file access to server-side request forgery. Discover how routine document creation can become a major cybersecurity threat—and what every organization needs to know.