What is IAM for AI agents? AI agents authenticate, invoke tools, and act across enterprise systems with delegated authority. IAM for AI Agents is the identity-control architecture that governs those actors. This guide covers the limits of conventional provisioning, the components that matter, how to evaluate framework choices, and what runtime evidence proves an agent behaved as intended.

AI agents are moving into production faster than security teams can govern them. They are connecting to apps, handling data, calling APIs, and acting across business systems—often without the same controls applied to human users. According to Okta’s Global CISO Insights 2026 report, only 47% of CISOs are confident they can identify every AI agent in their environment. Even among those who feel

The way we talk about AI agents is shifting, and the way we implement them requires an even more fundamental shift. While earlier discourse focused on how quickly organizations could stand up agents and how much productivity they could promise, a string of recent incidents, including a widely discussed intrusion at Hugging Face during an evaluation of OpenAI agents, has spurred organizations to

Security leaders keep debating whether AI will produce an entirely new class of cyberattack. The nearer change is quieter and already visible: AI has made a failed attack cheap to retry. The routine version looks like this. An attacker lands on a low-privilege cloud account, and the first try at privilege escalation goes nowhere. That dead end used to cost hours of documentation reading,

AI coding agents are changing how quickly developers can build and ship software as well as how quickly credentials can become exposed. According to GitGuardian’s 2026 State of Secrets Sprawl Report, commits identified as AI-assisted are leaking secrets at approximately twice the rate of human-written ones. Most of the fastest-growing categories of leaked credentials are now connected to AI

ClickFix has become the most common way attackers get into enterprise networks, and it does it without an exploit, an attachment, or a file on disk. Our new global threat report traces the technique from a novelty in late 2023 to a subscription product with on-chain infrastructure and a state-sponsored user base, and explains why blocking malicious domains is no longer a useful defense. Read

Autonomous security agents are getting good at finding bugs. Nobody has a good way to measure how good. Point one at a realistic target and what comes back is a report the agent wrote about itself: confident prose, a list of findings, and no way to tell which of them happened. Someone with a security background then sits down and checks every claim against the target. Which findings are real,

Security teams have spent decades asking whether an identity has too much access. AI agents raise a harder question: how can we determine which paths an autonomous system can discover, given the access it already has? A person may try several ways to complete a task. A deterministic application follows the flow its developer wrote. But an AI agent is relentless in its pursuit of done. In May

When the Digital Operational Resilience Act (DORA) became enforceable across the European Union in January 2025, it triggered an administrative sprint. Financial entities spent the first year establishing risk governance, assessing third-party service providers, updating contract clauses, and documenting incident escalation workflows. Now in its second year, the harder part of DORA is

Identity visibility is a starting point for modern identity security, because stolen and misused credentials are among the most frequently reported initial access vectors in breach research, including Verizon's annual Data Breach Investigations Report. This article explains what identity visibility means in IAM, why cloud and multicloud environments complicate it, which capabilities matter in

In July 2025, someone registered a domain that used to belong to a content delivery network.  The CDN had been wound down years earlier, and the domain it served assets from was allowed to expire. What it had not lost were its callers. Thousands of websites, code repositories, and documentation pages still carry hard-coded references to hostnames beneath it.  The new owner holds

A new CVE drops. Your scanner finds it. The severity score looks ugly. But that still does not answer the question that matters: Can it actually be exploited in your environment? Mythos-class AI is compressing the time between disclosure and working exploitation, while many security programs still validate risk on weekly or quarterly cycles. The dangerous gap is no longer just technical. It is

Attackers now weaponize new vulnerabilities in about five days (Mandiant, part of Google Cloud). The median organization takes 43 days to patch one (Verizon DBIR 2026). A new free guide explains how autonomous AI agents are closing that gap, and what security leaders must demand before pointing one at production. TL;DR Exploitation is now the front door. It starts 31% of breaches (Verizon DBIR

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N0va is targeting organizations across North America and Europe with phishing campaigns that impersonate trusted services and abuse legitimate authentication flows. Successful attacks can give threat actors access to valid accounts without relying on obvious malware activity. From there, a single compromised identity can open the door to sensitive data, business systems, and additional cloud

A leaked credential shows up in a criminal marketplace, or a vulnerability gets a disclosure advisory, and either one can be weaponized against a real target before most security teams have triaged the alert. Attackers are combining that kind of intelligence with AI-assisted exploitation to accelerate the path from exposure to breach faster than most security programs are built to react.

Introduction Security teams have gotten pretty good at testing against what can hurt them. Can this EDR agent catch this payload? Will my organization fail the phishing simulation? Does this SIEM rule fire on this particular technique? And, in more mature organizations, this testing happens continuously rather than as a one-off exercise. But no matter how much you validate against these

An RMM phishing campaign initially associated with Canadian targeting due to its use of Canada Revenue Agency (CRA) tax forms as lures has turned out to be part of a broader campaign spanning 46 countries. Around 45% of observed activity was associated with the United States, making it the campaign's top geographic target. ANY.RUN research connected 601 cases to the wider operation, which uses

In early August, GitGuardian researchers found that a recent Shai-Hulud infostealer worm variant had evolved to scan for credentials across 469 locations across developer environments, Continuous Integration/Continuous Deployment (CI/CD) tooling, cloud configurations, and even AI tool configs. Earlier variants of the infostealer worm only checked 189 paths. The jump says a lot. Attackers have

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Wednesday added seven security flaws to its Known Exploited Vulnerabilities (KEV) catalog after they landed in attackers' crosshairs. The vulnerabilities are as follows - CVE-2026-83548 (CVSS score: 10.0) - A server-side request forgery vulnerability in SonicWall SMA 1000 Appliances that could allow a remote unauthenticated