The speed of AI innovation is outpacing companies’ ability to understand, let alone manage, the risk. This is where leaders can take control.
Search Results: risk (1687)
Snyk provides developer-focused security for companies across every sector, enabling ongoing security improvements including reduced risk exposure.
Snyk shifts security left with its Deep Code AI Fix, a proprietary AI engine that automates security fixes for developers, enabling risk reduction and addressing vulnerabilities in cybersecurity.
Snyk and GitGuardian, two prominent security tools providers, collaborate to tackle cloud-native security challenges and bolster cybersecurity measures.
Bill Doerrfeld analyzes the state of modern CI/CD security, reviews the most common risks, and offers some safeguarding suggestions.
In this CIO Summit moment, Microsoft WW Sustainability Industry Advocate Matthew Sekol discusses the intersection of sustainability, risk, and ESG.
Contextualizing your organization’s key risks and general technology trends with peers is the best way to prepare against future security threats.
Cybersecurity teams must work closely with finance teams to help them determine what kind of data is essential for automation to deliver more benefits than risk.
In this analysis, Chris Hughes explores a subset of threat intelligence that focuses on malware and specific behavioral threat indicators for malicious actors.
Kieron Allen explains how a recent Trend Micro report confirms the proliferation of fake ChatGPT apps, including some containing malware.
Chris Hughes reviews a new CISA publication, which explains why cybersecurity risk must be moved away from consumers to “secure by default” products.
Get a preview of the Generative AI Digital Summit taking place on May 25. It will delve into the future of work, cybersecurity, customer experience, and more.
Tactical threat intelligence is gathering, analyzing, and sharing data to find cyber threats and figure out how to deal with them. Learn how to set up a program.
Rob Wood explores how organizations should think about generative AI models from a risk perspective, with a special focus on the conversations between security leaders and the C-suite.
Generative AI’s rapid rise makes it imperative for security teams to establish policy frameworks and guardrails in order to mitigate risk.
Business leaders today need to consider the risk of not keeping pace with modernizing their businesses. Tony Uphoff explains why.
Rob Carter, CIO and EVP, FedEx, explains how the modern cloud world has reduced risk and made it easier for companies to move forward, rather than stand still.
Businesses are exposed if they “don’t move on from the legacy technologies that don’t represent today’s dominant design compute,” says the FedEx CIO.
In a statement, Lookout exec explains the data collection practices of TikTok and other mobile apps, cites need for awareness of mobile apps’ risk.
MITRE’s new System of Trust risk model manager and a community engagement group introduces another great resource for software supply chain security and risk management.