脆弱性が発見されてから攻撃(Exploit)が行われるまでの猶予時間が極めて短期間になっていることが、組織側の対策コスト・リソースに重大なワークロードが掛かる原因です。武器化されるコードの現状と、防御側はどう立ち向かうべきか、ブログで紹介します。https://splk.it/3VKrAXO
Splunk
Software Development
San Francisco, California 808,106 followers
The cybersecurity and observability leader
About us
Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.
- Website
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http://www.splunk.com
External link for Splunk
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Specialties
- Machine Data To Operational Intelligence
Locations
Employees at Splunk
Updates
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Federated Search for Amazon S3 is evolving. See what’s changing in Splunk 10.4–10.6 and get a practical migration roadmap for moving to connections, datasets, and SPL2. https://splk.it/4xrhnxr
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No more mystery AI spend. 💸 Tokenomics in Agent Observability, now generally available, gives teams a centralized view of usage, adoption, and cost across AI coding assistants and LLM providers. Caitlin Halla, Senior Developer Evangelist, is back to SPL it out. ✏️ Take a closer look at our #SplunkO11y news from #splunkconf26: https://splk.it/47JCwaB
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The monthly AI bill shouldn't be the first sign that something needs to change. 💸 In a recent interview with TFiR, Splunk's Raja Mukhopadhyay explores how Tokenomics within Splunk Agent Observability is helping organizations get a clearer picture of AI consumption before costs spiral. With real-time visibility into token spend and deeper insights into agent performance, teams can make smarter decisions about AI investments without waiting for the next invoice. Get the full scoop: https://splk.it/47O7aQ9
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"AI is hungry for data, but can enterprises keep up with its appetite? According to the Machine Data Outlook Report, 74% of technology leaders say AI and automation are creating significant data management challenges, while 53% frequently lack the machine data needed to power AI-driven decisions. Discover how organizations can turn distributed machine data into an AI-ready advantage. Download the full report: https://splk.it/3TSHsXm
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Agentic AI demos are cheap. Production is where the real costs show up. Yep, agentic AI projects often stall before launch, from runaway token usage to skipped evaluations and guardrails that cost too much to run. See how agent observability can help teams catch hidden costs before they hit the bill. 👉 https://splk.it/4igolzP #SplunkO11y
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AI in the SOC should speed up action, not create another black box. Splunk Enterprise Security 8.7 takes another step toward trusted autonomy with governed response, stronger automation, and connected security context. Yep, all while keeping practitioners in control. See what’s new: https://splk.it/3UcZtjr #SplunkSecurity
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What if the enterprise AI model is backwards? In a new TFiR interview, Kamal Hathi explains why enterprises should bring AI to their data, not move sensitive data to AI. Hear Kamal’s perspective on agent observability, AI security, token economics, and building AI systems enterprises can control: https://splk.it/4eitIft
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