We are thrilled to announce that Wallarm has clinched the sought-after 2024 Cybersecurity Excellence Award, under the category Best API Security Product. Our unwavering commitment to pioneering solutions that safeguard digital ecosystems, and fortify API security amidst the evolving cyber threat landscape, has garnered industry-wide recognition. This accolade reaffirms Wallarm's position at the forefront of cybersecurity innovation, empowering businesses with confidence and resilience.

Working as a Chief Information Security Officer (CISO) has never been easy or glamorous. But with the recent adoption of new rules by the U.S. Security and Exchange Commission on cybersecurity risk management, strategy, governance and incident disclosure, life as a CISO has just gotten harder. Adding to the longstanding organizational risk CISO’s have always managed, now they have to contend with personal risk as well.

Election security is one of the most important parts of an election in order to preserve voter safety, prevent voter fraud, and, ultimately, build public trust in the electoral process. Because of the many external pieces that must come together during the election process, election organizers must use and implement effective Third-Party Risk Management (TPRM) as part of their security strategy.

Amazon Bedrock and Elastic’s Attack Discovery automate security analyst workflows As cyber threats grow increasingly sophisticated, the need for highly effective security measures becomes imperative. Traditional SIEMs aren’t equipped to address threats fast enough because they rely on too many manual and labor-intensive tasks. AI-driven security analytics from Elastic’s Search AI platform solves these challenges.

The Sysdig Threat Research Team (TRT) recently observed a new attack that leveraged stolen cloud credentials in order to target ten cloud-hosted large language model (LLM) services, known as LLMjacking. The credentials were obtained from a popular target, a system running a vulnerable version of Laravel (CVE-2021-3129). Attacks against LLM-based Artificial Intelligence (AI) systems have been discussed often, but mostly around prompt abuse and altering training data.