Machine-Speed Credential Abuse: What the ChainDrop npm Worm Changes
ChainDrop hijacked 444 npm packages and 2B monthly downloads via a Claude Code hook. AI agents have collapsed the gap between credential theft and abuse.
Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
Secure AI Written Code Before It Ships: Salt Code
AI coding assistants are transforming how enterprise software gets built. Developers at every level are prompting their way to production-ready APIs, MCP integrations, and agentic workflows faster than any security team can review them. The problem is that none of those assistants knows your internal security standards, regulatory obligations, or risk tolerance. The result is insecure patterns shipping unnoticed, vulnerabilities discovered downstream when fixes are costly, and compliance becoming a guessing game on every commit.
451 Research report: How agentic AI is redefining identity security
In the short time that AI agents have been a part of the enterprise, they have upended many of our bedrock assumptions about the nature of identity, access, development, and work itself. At 1Password, we’ve been in the trenches of the agentic revolution; we’ve seen its positive impact on productivity, and the serious concerns it raises about security.
The Rise of the 'Non-Human Insider': When AI Agents Become the Threat
For years, cybersecurity has had a familiar villain: the external attacker. The hacker breaking through the firewall, stealing credentials or exploiting an unpatched vulnerability. It is the scenario we have trained for, built defenses around and spent decades trying to prevent. But the next major breach may not begin with someone breaking into your environment at all, it may begin with an AI agent that already has access.
Report: One-Quarter of Breaches Are Enabled by AI-Driven Attacks
A new report commissioned by IBM has found that one in four breaches is now AI-enabled, up 56% from last year. “Most AI-driven attacks reported in the study targeted critical infrastructure sectors (62%), with financial services and energy organizations experiencing the highest concentration, raising the risk of broader systemic disruption,” the report says. “Financial services breaches were reported to cost on average $6.3 million, while energy breaches cost on average $5.2 million.
Give your agents capabilities
Accelerating security solutions for small businesses Tagore offers strategic services to small businesses. A partnership that can scale Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.
Agentic First Security -- Customer Brown Bag - August 20th, 2026
Join Jeremy Powell, CISO of Sumo Logic, to learn how AI-powered agents are reshaping modern security operations. Discover the key principles, governance, and best practices for building an agentic security program that enhances analyst productivity, accelerates threat response, and strengthens organizational resilience.
From signals to systemic risk: Building Risk AI
Security and engineering teams contend with a constant stream of signals about vulnerabilities, incidents, misconfigurations, identity risks, control gaps, and other findings across their environments. But an individual finding’s severity does not always reflect its potential organizational impact.
Detect vulnerabilities in LLM applications with Datadog's AI-native SAST
AI coding tools help developers build and deploy LLM applications quickly, but this speed comes with new security risks. Traditional static application security testing (SAST) tools that are pattern based weren’t designed to detect LLM-specific issues such as prompt injection sinks and exposed system prompts. These vulnerabilities often don’t become apparent until applications are already running in production, when remediation is more difficult and expensive.
Decommissioning AI Agents: What to Look For in the Tooling
Gartner predicted in mid-2025 that more than forty percent of agentic AI projects would be canceled by the end of 2027, citing escalating costs, unclear business value and inadequate risk controls. Treat the figure as a forward-looking estimate rather than a measurement, since canceled projects tend to be quietly renamed, absorbed or left to lapse rather than formally closed.