IAM for Agentic AI and Workloads

United States
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๐Ÿซต ๐—ฌ๐—ผ๐˜‚ ๐—ด๐—ฒ๐˜ ๐—ฎ ๐˜๐—ฒ๐—ป๐—ฎ๐—ป๐˜. ๐—ฌ๐—ผ๐˜‚ ๐—ด๐—ฒ๐˜ ๐—ฎ ๐˜๐—ฒ๐—ป๐—ฎ๐—ป๐˜. ๐—˜๐˜ƒ๐—ฒ๐—ฟ๐˜†๐—ผ๐—ป๐—ฒ ๐—ด๐—ฒ๐˜๐˜€ ๐—ฎ ๐˜๐—ฒ๐—ป๐—ฎ๐—ป๐˜. @aembit_io is giving away free tenants so teams can try secretless access for agents & workloads, and the services they depend on. Request yours: aemb.it/tenant
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Cross App Access (XAA) is here for AI agents, and @aembit_io is making it usable across agent workflows. We're giving enterprises a way to extend existing identity and access controls to agents acting on behalf of employees. Read the news: aemb.it/4rs3X1O #Oktane26
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Exactly! You can put all the prompt guards you want around a model. None of that matters much if the agent can still reach sensitive systems with more authority than it needs. Thatโ€™s why runtime authorization matters so much!
excessive agency jumping from 6th to 3rd is the real story here. prompt injection staying #1 just means filtering still doesn't work. how many teams actually enforce runtime authz instead of prompt guards?
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The most revealing thing about @owasp new LLM Top 10 is that the model is becoming less central to the story. Across the list, the consequences increasingly depend on how much authority an LLM application has over enterprise systems: aemb.it/46lOMxz
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๐Ÿคœ๐Ÿค› Better together: @Aembit + @CrowdStrike Read how we are working together to secure AI agent access: aemb.it/3UNWv4L #AgenticAI #Cybersecurity
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๐—ก๐—˜๐—ช๐—ฆ: @aembit_io is now integrated with @CrowdStrike Falcon AI Detection and Response. ๐Ÿ”๐Ÿค– Weโ€™re bringing policy-based AI agent access control and content inspection together for interactions over MCP. Announced today at #FalCon2026. Read more --> aemb.it/4gqlm7e
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AI gateways are having a moment. ๐Ÿ‘€ But being in the access path doesnโ€™t establish why an agent request should be trusted. @kenhuangus breaks down where gateways fit, where identity does the heavier lifting and what a stronger trust model looks like. ๐Ÿ”— aemb.it/4hSxOhc
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Enterprise security questionnaires are starting to ask harder questions about AI agents. Who is the agent? What can it access? How are tokens scoped? What gets logged? โ€œWeโ€™re working on itโ€ may still pass today. It probably wonโ€™t for much longer. ๐Ÿ‘‡
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When it comes to AI agents, identity is only the starting point. Access and authorization determine what an agent is actually allowed to do. @aembit_io CEO @goldschlag explains why in @ForbesTechCncl: aemb.it/4gbP4LL
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Replying to @Snowflake
@Snowflake Advances Trusted Agentic Enterprise with Cortex AI Gateway, Unified Monitoring, and Cost Management @aembit_io @Linx_Security @okta @1Password @SailPoint @saviynt getaigovernance.net/blog/snoโ€ฆ
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โš ๏ธ @OpenAI asked its models to pass a cyber test. They found a shortcut through @huggingface's production systems. Give an agent a goal, and every credential within reach can become another route to the objective. Our analysis: aemb.it/3TRxyow #AgenticAI #Cybersecurity
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WEDNESDAY: Join the @idsalliance for a โ€œ101โ€ session on NHI and agentic ientity security. This webinar will break down: ๓ ฏโ€ข๓ ๓  The taxonomy of agents. ๓ ฏโ€ข๓ ๓  How agent identities function. ๓ ฏโ€ข๓ ๓  A maturity model for managing them. Get in ๐Ÿ‘‰ aemb.it/45eIm2q
Made with AI
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Your #AIagent approval gate has become a rubber stamp โ€“ clicked in seconds, understood by no one. Our Dave Sudia explains how "human-in-the-loop" agent approvals can fail, and the incident-response trick that can help fix it. Watch ๐Ÿ‘‡ (Full link: aemb.it/4vCPxMV)
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Your #AIagent isn't thinking. It's just really good at pretending. New #๐˜ˆ๐˜ด๐˜ฌ๐˜ต๐˜ฉ๐˜ฆ๐˜Œ๐˜ฏ๐˜จ๐˜ช๐˜ฏ๐˜ฆ๐˜ฆ๐˜ณ: why "why" is the wrong question to ask about agent behavior โ€“ and what to log instead.
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Agentic security will be ๐™ฉ๐™๐™š topic at #BHUSA 2026. We're focused on the layer that decides what agents can actually do: access and authorization. Meet with us at Black Hat and ask our engineers the hard questions directly. ๐Ÿ“… Book time with us: aemb.it/4wEDC21
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Weโ€™re excited to see Workload Access Management and AI Agent Identity appear as new entries in the @Gartner_inc Hype Cycleโ„ข for Digital Identity, 2026, both with a โ€œHighโ€ benefit rating. Thatโ€™s Aembitโ€™s wheelhouse: policy-driven access for workloads and AI agents at runtime.๐Ÿ‘Š
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Give teams a few months to experiment freely with AI agents, and you'll get a side effect nobody planned for: undocumented service accounts scattered everywhere, some still active. Our engineering extraordinaire Dave Sudia breaks down the least painful cleanup path. ๐Ÿ’ป๐Ÿ‘‡
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World Cup 2026 was our whole theme at the Aembit booth at #Identiverse, so we asked the team the hard-hitting questions: Fav team? Who takes the penalty? Who gives goalkeeper energy? Whatโ€™s our anthem? And whatโ€™s the Aembit equivalent of a bicycle kick? The takes delivered. ๐Ÿ‘‡
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โ€œWeโ€™ll move fast and clean it up later.โ€ Sometimes that works. But when does scrappy become risky, especially when credentials and access start spreading? @Aembitโ€™s Dave Sudia breaks down the signal teams should be watching for. ๐Ÿ‘‡
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WATCH: Who's responsible when an AI agent does something you didn't intend โ€“ but had every right to? Here's David @Goldschlag and @SecWeekly's @infosec_mike on the identity and acces problem at the center of enterprise AI deployments. aemb.it/3SewdaO #Identiverse2026
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