@Salesforce
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Salesforce is enhancing its security operations by integrating AI agents into its security teams. These AI agents are becoming vital force multipliers, automating tasks that previously required manual effort. This automation is leading to faster response times and freeing up security personnel to focus on higher-value analysis and strategic initiatives, ultimately boosting the overall productivity of the security team.
The deployment of agentic AI in security presents unique challenges, particularly in ensuring data privacy and security. As businesses increasingly adopt AI to remain competitive, concerns arise regarding data leaks and accountability. Dr. Eoghan Casey, Field CTO at Salesforce, emphasizes the shared responsibility in building trust into AI systems, with providers maintaining a trusted technology platform and customers ensuring the confidentiality and reliability of their information. Implementing safety guardrails is crucial to ensure that AI agents operate within technical, legal, and ethical boundaries, safeguarding against undesirable outcomes.
At RSA Conference 2025, SecAI, an AI-enriched threat intelligence company, debuted its AI-native Investigator platform designed to solve the challenges of efficient threat investigation. The platform combines curated threat intelligence with advanced AI techniques for deep information integration, contextual security reasoning, and suggested remediation options. Chase Lee, Managing Director at SecAI, stated that the company is reshaping what's possible in cyber defense by giving security teams superhuman capabilities to meet the scale and speed of modern threats. This AI-driven approach streamlines the investigation process, enabling analysts to rapidly evaluate threats and make confident decisions.
Recommended read:
References :
- Salesforce: Meet the AI Agents Augmenting Salesforce Security Teams
- venturebeat.com: Salesforce unveils groundbreaking AI research tackling "jagged intelligence," introducing new benchmarks, models, and guardrails to make enterprise AI agents more intelligent, trusted, and consistently reliable for business use.
- Salesforce: Salesforce AI Research Delivers New Benchmarks, Guardrails, and Models to Make Future Agents More Intelligent, Trusted, and Versatile
- www.marktechpost.com: Salesforce AI Research Introduces New Benchmarks, Guardrails, and Model Architectures to Advance Trustworthy and Capable AI Agents
- www.salesforce.com: Salesforce AI Research Delivers New Benchmarks, Guardrails, and Models to Make Future Agents More Intelligent, Trusted, and Versatile
- MarkTechPost: Salesforce AI Research Introduces New Benchmarks, Guardrails, and Model Architectures to Advance Trustworthy and Capable AI Agents
@www.marktechpost.com
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Microsoft is taking significant steps to address the burgeoning field of agentic AI with a multi-pronged approach encompassing both proactive risk management and practical applications. The company has recently released a comprehensive guide to failure modes in agentic AI systems, underscoring the importance of establishing a secure foundation as AI becomes more deeply embedded in organizational workflows. This guide aims to help organizations navigate the unique challenges and risks associated with AI agents, including data leakage, emerging cyber threats, and evolving regulatory landscapes, such as the European Union AI Act. The report from Microsoft’s AI Red Team (AIRT) offers a structured analysis distinguishing between novel failure modes unique to agentic systems and the amplification of risks already observed in generative AI contexts.
Microsoft's efforts extend beyond theoretical frameworks into real-world applications, they are actively developing intelligent, use-case driven agents designed to collaborate with human analysts. These agents are intended to automate routine tasks and enhance decision-making processes within security operations, highlighting Microsoft's commitment to securing AI and building robust, reliable agentic systems suitable for safe deployment. Specifically, Microsoft details the Dynamics 365 Supplier Communications Agent, and the Azure MCP Server that empowers AI Agents With Azure Resources. The MCP Server, which implements the Model Context Protocol, is an open protocol that standardizes the communication between AI agents and external resources.
This proactive stance on AI safety is further evidenced by Microsoft's exploration of Model Context Protocol (MCP), an emerging standard for AI interoperability. As of April 2025, major players including OpenAI, Google, Meta, and Amazon have committed to adopting MCP, which promises a unified language for AI systems to access and interact with business tools and repositories. The protocol aims to streamline development, improve system reliability, and enable smarter AI by standardizing data exchange and context management across different AI interactions. Other companies such as Appian are also embedding agentic AI into business processes.
Recommended read:
References :
- MarkTechPost: Microsoft Releases a Comprehensive Guide to Failure Modes in Agentic AI Systems
- The Microsoft Cloud Blog: As AI becomes more deeply embedded in workflows, having a secure foundation from the start is essential for adapting to new innovations with confidence and ease.
- blogs.microsoft.com: Microsoft discusses how agentic AI is driving AI-first business transformation for customers.
@blog.google
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Google is enhancing its security operations by integrating agentic AI into Google Unified Security, aiming to empower security teams and business leaders in the AI era. This initiative incorporates AI-driven agents designed to collaborate with human analysts, automating routine tasks and enhancing decision-making processes. The vision is to evolve towards an autonomous Security Operations Center (SOC) where AI agents handle routine tasks, freeing up analysts to concentrate on more complex and critical threats. These advancements seek to proactively combat evolving threats by giving defenders an advantage over threat actors.
Google's enhancements include incorporating threat intelligence from Mandiant’s M-Trends 2025 report to improve threat detection and simplify security workflows. This report provides data, analysis, and learnings drawn from Mandiant's threat intelligence findings and over 450,000 hours of incident investigations. Key findings from M-Trends 2025 reveal that attackers are exploiting various opportunities, from using infostealer malware to targeting unsecured data repositories and exploiting cloud migration risks, with financial sector being the top target. The most common initial infection vector was exploit (33%), followed by stolen credentials (16%), and email phishing (14%).
Gemini AI is also being integrated to enhance threat detection with real-time insights, powering malware analysis and triage AI agents. This integration also includes curated detections and threat intelligence rule packs for M-Trends 2025 findings, shifting organizations from reactive to preemptive security measures. Throughout 2024, Google Cloud Security customers have already benefited from threat intelligence and insights now publicly released in the M-Trends 2025 report through expert-crafted threat intelligence, enhanced detections, and Mandiant security assessments.
Recommended read:
References :
- Security & Identity: Discusses Mandiant's latest M-Trends report findings and enhancements across Google Unified Security, our product portfolio, and our AI capabilities.
- IBM - Announcements: IBM Delivers Autonomous Security Operations with Cutting-Edge Agentic AI
- developer.nvidia.com: Advancing Cybersecurity Operations with Agentic AI Systems
- blogs.nvidia.com: How Agentic AI Enables the Next Leap in Cybersecurity
Chris McKay@Maginative
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OpenAI has released its latest AI models, o3 and o4-mini, designed to enhance reasoning and tool use within ChatGPT. These models aim to provide users with smarter and faster AI experiences by leveraging web search, Python programming, visual analysis, and image generation. The models are designed to solve complex problems and perform tasks more efficiently, positioning OpenAI competitively in the rapidly evolving AI landscape. Greg Brockman from OpenAI noted the models "feel incredibly smart" and have the potential to positively impact daily life and solve challenging problems.
The o3 model stands out due to its ability to use tools independently, which enables more practical applications. The model determines when and how to utilize tools such as web search, file analysis, and image generation, thus reducing the need for users to specify tool usage with each query. The o3 model sets new standards for reasoning, particularly in coding, mathematics, and visual perception, and has achieved state-of-the-art performance on several competition benchmarks. The model excels in programming, business, consulting, and creative ideation.
Usage limits for these models vary, with o3 at 50 queries per week, and o4-mini at 150 queries per day, and o4-mini-high at 50 queries per day for Plus users, alongside 10 Deep Research queries per month. The o3 model is available to ChatGPT Pro and Team subscribers, while the o4-mini models are used across ChatGPT Plus. OpenAI says o3 is also beneficial in generating and critically evaluating novel hypotheses, especially in biology, mathematics, and engineering contexts.
Recommended read:
References :
- Simon Willison's Weblog: OpenAI are really emphasizing tool use with these: For the first time, our reasoning models can agentically use and combine every tool within ChatGPT—this includes searching the web, analyzing uploaded files and other data with Python, reasoning deeply about visual inputs, and even generating images. Critically, these models are trained to reason about when and how to use tools to produce detailed and thoughtful answers in the right output formats, typically in under a minute, to solve more complex problems.
- the-decoder.com: OpenAI’s new o3 and o4-mini models reason with images and tools
- venturebeat.com: OpenAI launches o3 and o4-mini, AI models that ‘think with images’ and use tools autonomously
- www.analyticsvidhya.com: o3 and o4-mini: OpenAI’s Most Advanced Reasoning Models
- www.tomsguide.com: OpenAI's o3 and o4-mini models
- Maginative: OpenAI’s latest models—o3 and o4-mini—introduce agentic reasoning, full tool integration, and multimodal thinking, setting a new bar for AI performance in both speed and sophistication.
- THE DECODER: OpenAI’s new o3 and o4-mini models reason with images and tools
- Analytics Vidhya: o3 and o4-mini: OpenAI’s Most Advanced Reasoning Models
- www.zdnet.com: These new models are the first to independently use all ChatGPT tools.
- The Tech Basic: OpenAI recently released its new AI models, o3 and o4-mini, to the public. Smart tools employ pictures to address problems through pictures, including sketch interpretation and photo restoration.
- thetechbasic.com: OpenAI’s new AI Can “See†and Solve Problems with Pictures
- www.marktechpost.com: OpenAI Introduces o3 and o4-mini: Progressing Towards Agentic AI with Enhanced Multimodal Reasoning
- MarkTechPost: OpenAI Introduces o3 and o4-mini: Progressing Towards Agentic AI with Enhanced Multimodal Reasoning
- analyticsindiamag.com: Access to o3 and o4-mini is rolling out today for ChatGPT Plus, Pro, and Team users.
- THE DECODER: OpenAI is expanding its o-series with two new language models featuring improved tool usage and strong performance on complex tasks.
- gHacks Technology News: OpenAI released its latest models, o3 and o4-mini, to enhance the performance and speed of ChatGPT in reasoning tasks.
- www.ghacks.net: OpenAI Launches o3 and o4-Mini models to improve ChatGPT's reasoning abilities
- Data Phoenix: OpenAI releases new reasoning models o3 and o4-mini amid intense competition. OpenAI has launched o3 and o4-mini, which combine sophisticated reasoning capabilities with comprehensive tool integration.
- Shelly Palmer: OpenAI Quietly Reshapes the Landscape with o3 and o4-mini. OpenAI just rolled out a major update to ChatGPT, quietly releasing three new models (o3, o4-mini, and o4-mini-high) that offer the most advanced reasoning capabilities the company has ever shipped.
- THE DECODER: Safety assessments show that OpenAI's o3 is probably the company's riskiest AI model to date
- shellypalmer.com: OpenAI Quietly Reshapes the Landscape with o3 and o4-mini
- BleepingComputer: OpenAI details ChatGPT-o3, o4-mini, o4-mini-high usage limits
- TestingCatalog: OpenAI’s o3 and o4‑mini bring smarter tools and faster reasoning to ChatGPT
- simonwillison.net: Introducing OpenAI o3 and o4-mini
- bdtechtalks.com: What to know about o3 and o4-mini, OpenAI’s new reasoning models
- bdtechtalks.com: What to know about o3 and o4-mini, OpenAI’s new reasoning models
- thezvi.wordpress.com: OpenAI has finally introduced us to the full o3 along with o4-mini. Greg Brockman (OpenAI): Just released o3 and o4-mini! These models feel incredibly smart. We’ve heard from top scientists that they produce useful novel ideas. Excited to see their …
- thezvi.wordpress.com: OpenAI has upgraded its entire suite of models. By all reports, they are back in the game for more than images. GPT-4.1 and especially GPT-4.1-mini are their new API non-reasoning models.
- felloai.com: OpenAI has just launched a brand-new series of GPT models—GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano—that promise major advances in coding, instruction following, and the ability to handle incredibly long contexts.
- Interconnects: OpenAI's o3: Over-optimization is back and weirder than ever
- www.ishir.com: OpenAI has released o3 and o4-mini, adding significant reasoning capabilities to its existing models. These advancements will likely transform the way users interact with AI-powered tools, making them more effective and versatile in tackling complex problems.
- www.bigdatawire.com: OpenAI released the models o3 and o4-mini that offer advanced reasoning capabilities, integrated with tool use, like web searches and code execution.
- Drew Breunig: OpenAI's o3 and o4-mini models offer enhanced reasoning capabilities in mathematical and coding tasks.
- TestingCatalog: OpenAI’s o3 and o4-mini bring smarter tools and faster reasoning to ChatGPT
- www.techradar.com: ChatGPT model matchup - I pitted OpenAI's o3, o4-mini, GPT-4o, and GPT-4.5 AI models against each other and the results surprised me
- www.techrepublic.com: OpenAI’s o3 and o4-mini models are available now to ChatGPT Plus, Pro, and Team users. Enterprise and education users will get access next week.
- Last Week in AI: OpenAI’s new GPT-4.1 AI models focus on coding, OpenAI launches a pair of AI reasoning models, o3 and o4-mini, Google’s newest Gemini AI model focuses on efficiency, and more!
- techcrunch.com: OpenAI’s new reasoning AI models hallucinate more.
- computational-intelligence.blogspot.com: OpenAI's new reasoning models, o3 and o4-mini, are a step up in certain capabilities compared to prior models, but their accuracy is being questioned due to increased instances of hallucinations.
- www.unite.ai: unite.ai article discussing OpenAI's o3 and o4-mini new possibilities through multimodal reasoning and integrated toolsets.
- Unite.AI: On April 16, 2025, OpenAI released upgraded versions of its advanced reasoning models.
- Digital Information World: OpenAI’s Latest o3 and o4-mini AI Models Disappoint Due to More Hallucinations than Older Models
- techcrunch.com: TechCrunch reports on OpenAI's GPT-4.1 models focusing on coding.
- Analytics Vidhya: o3 vs o4-mini vs Gemini 2.5 pro: The Ultimate Reasoning Battle
- THE DECODER: OpenAI's o3 achieves near-perfect performance on long context benchmark.
- the-decoder.com: OpenAI's o3 achieves near-perfect performance on long context benchmark
- www.analyticsvidhya.com: AI models keep getting smarter, but which one truly reasons under pressure? In this blog, we put o3, o4-mini, and Gemini 2.5 Pro through a series of intense challenges: physics puzzles, math problems, coding tasks, and real-world IQ tests.
- Simon Willison's Weblog: This post explores the use of OpenAI's o3 and o4-mini models for conversational AI, highlighting their ability to use tools in their reasoning process. It also discusses the concept of
- Simon Willison's Weblog: The benchmark score on OpenAI's internal PersonQA benchmark (as far as I can tell no further details of that evaluation have been shared) going from 0.16 for o1 to 0.33 for o3 is interesting, but I don't know if it it's interesting enough to produce dozens of headlines along the lines of "OpenAI's o3 and o4-mini hallucinate way higher than previous models"
- techstrong.ai: Techstrong.ai reports OpenAI o3, o4 Reasoning Models Have Some Kinks.
- www.marktechpost.com: OpenAI Releases a Practical Guide to Identifying and Scaling AI Use Cases in Enterprise Workflows
- Towards AI: OpenAI's o3 and o4-mini models have demonstrated promising improvements in reasoning tasks, particularly their use of tools in complex thought processes and enhanced reasoning capabilities.
- Analytics Vidhya: In this article, we explore how OpenAI's o3 reasoning model stands out in tasks demanding analytical thinking and multi-step problem solving, showcasing its capability in accessing and processing information through tools.
- pub.towardsai.net: TAI#149: OpenAI’s Agentic o3; New Open Weights Inference Optimized Models (DeepMind Gemma, Nvidia…
- composio.dev: OpenAI o3 vs. Gemini 2.5 Pro vs. o4-mini
- Composio: OpenAI o3 and o4-mini are out. They are two reasoning state-of-the-art models. They’re expensive, multimodal, and super efficient at tool use.
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