Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI is transforming the identity landscape, and legacy systems were only designed to secure human identities, not non-human identities, machines or AI agents. Today, cybersecurity vendors are reinventing their solutions to address emerging threats while teams are rethinking their technology stacks and strategies. Keeper Security has been unified by design since day one.

AI coding agents are now writing and shipping code with far less human review. Is your security keeping up? Veracode CISO Sohail Iqbal breaks down the top security risks of AI coding agents and agentic AI, and what security teams should put in place first. If code is written at machine speed, it has to be remediated at machine speed. What you will learn: Chapters: Subscribe for more insights on Application Security, AI Coding, and DevSecOps.

Claude Code reads your developers' files and runs commands in their shell. A Social Security number pasted into a prompt or an API key in a.env file can reach the model, and a single force push can overwrite a shared branch. This demo shows how to secure Claude Code with CrowdStrike Falcon Guardian. Claude Code Hooks run a check at set points, such as when a developer submits a prompt or before a tool runs. Falcon Guardian uses those hooks to check prompts and tool calls against a central policy, deployed through Claude Code's managed settings file so developers can't override it.

With Charlotte AI AgentWorks, bring your preferred model, connect trusted tools and data through Model Context Protocol (MCP), and govern the entire agent experience from one place.

Every security team has a source of truth for its assets and its identities. Very few have one for how those assets are protected. Here Garrett explains what that source of truth has to look like and why it has to be deterministic. Garrett joined Ed Amoroso of TAG Infosphere for a wider conversation on AI, security controls, and assurance. The full interview covers.