Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Attribute-Based Access Control: How ABAC Works, Examples and Use Cases

Access control has become significantly more complex as enterprises adopt cloud platforms, AI applications, and distributed workforces. A user’s identity alone is no longer enough to determine whether they should access sensitive data. Factors such as device posture, data sensitivity, location, and business context all influence the right decision. This shift is driving widespread adoption of attribute-based access control, a model that evaluates multiple attributes before granting access.

The Complete Re-evaluation of AI Security

The OpenAI model that escaped its testing environment and compromised Hugging Face exposed a much bigger cybersecurity problem: are our existing defences actually designed for autonomous AI attacks? In this Razorwire Raw, James Rees looks beyond the original incident at what happens when AI can identify vulnerabilities, exploit them and move through systems at a speed human defenders simply can't match. From AI security and sandboxing to defensive AI and the possible return of honeypots, it may be time to reconsider what defence in depth looks like in the age of AI.

How To Build An AI Risk Management Framework

Every AI approval a security team makes feels reasonable in isolation. A security architect signs off on a generative AI writing tool for marketing. An engineering lead spins up an agent to triage support tickets. A finance team connects a copilot to its planning software. Individually, none of these decisions looks risky.

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

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