🚀 Speaking at @amsterdam.voxxeddays.com — April 1–2!
"Spring AI: From Fundamentals to Agentic Patterns" — a hands-on deep dive into context window curation, RAG, MCP, subagent orchestration, and LLM-as-a-Judge. All in Java.
🎟️ amsterdam.voxxeddays.com/talk/?id=12905
#SpringAI #Java #Agentic #AI

#105 - AI Agents Are Replacing Your To-Do List — And Your 9-to-5 Autonomous AI agents are no longer a futuristic concept — they're executing tasks, managing workflows, and generating passive income right now. This episode breaks down how Agentic RAG and multi-agent orchestration are collapsing the traditional workday into hours, not days. You'll discover how early adopters are deploying agent stacks that run 24/7 without supervision. The question isn't whether AI agents will change your work — it's whether you'll be the one holding the controls.

📣 New Podcast! "#105 - AI Agents Are Replacing Your To-Do List — And Your 9-to-5" on @Spreaker #agentic #agents #ai #automation #autonomous #blockchain #crypto #defai #income #inference #orchestration #passive #productivity #protocol #rag #solopreneur #tokenization #virtuals #web3 #workflow

Why must businesses be certain about AI-driven operational decisions ## How Do Non-Human Identities Impact AI-Driven Decisions in Cybersecurity? Have you ever considered how machine identities, which we refer to with Non-Human Identities (NHIs), can influence AI-driven decisions in cybersecurity? When organizations continue to embrace cloud environments, securing these machine identities becomes paramount for ensuring business certainty and operational efficiency. When examining cybersecurity, NHIs provide an intriguing intersection of technology, risk management, and identity assurance. ### Understanding Non-Human Identities in the Cloud NHIs, essentially machine identities, play a pivotal role in contemporary data security frameworks. They consist of a “Secret,” such as an encrypted password, token, or key, and the permissions associated with a destination server. This structure is comparable to a passport and visa system, where the Secret acts as the passport and the permissions represent the visa. Effectively managing these components enhances the ability to make informed AI-driven decisions, critical for business certainty. In industries like financial services, healthcare, and travel, the use of NHIs ensures that machine-to-machine communications are secure and efficient. Without proper management, organizations face increased risks of breaches and data leaks. The need for robust NHIs management is underscored by the drive for a secure cloud where data flows without unnecessary friction. ### Benefits of a Holistic NHI Management Approach A comprehensive approach to managing NHIs goes beyond simple secret scanners and offers numerous advantages that contribute to AI-driven decisions: * **Reduced Risk:** Proactive identification and handling of security risks help in minimizing breaches and data leaks. * **Improved Compliance:** It assists organizations in meeting regulatory requirements through enforced policies and audit trails. * **Increased Efficiency:** Automating NHIs and secrets management enables security teams to focus on strategic initiatives. * **Enhanced Visibility and Control:** Provides a centralized perspective for access management and governance. * **Cost Savings:** By automating the rotation of secrets and decommissioning of NHIs, operational costs are significantly reduced. For businesses leveraging AI to drive operations, the secure and efficient management of NHIs ensures that systems are not only protected but optimally utilized, thereby enhancing business certainty. ### Securing Machine Identities: A Collaborative Effort One of the most notable challenges in cybersecurity is the disconnect between security and R&D teams. To create a secure and cohesive cloud environment, these teams must collaborate effectively. Proper NHI management acts as a bridge, aligning various departments’ efforts to bolster the organization’s overall security posture. This collaboration fosters a secure foundation upon which AI-driven decisions can be reliably made. Consider healthcare organizations where NHIs are used to manage patient data securely. By ensuring that each machine identity is correctly authenticated and authorized, healthcare providers can confidently implement AI algorithms to predict patient outcomes and enhance treatment plans, ultimately achieving business certainty in their operations. ### Lifecycle Management: A Strategic Imperative Addressing all lifecycle stages of NHIs—from discovery and classification to threat detection and remediation—is critical. This lifecycle management ensures that machine identities remain secure throughout their existence. It provides a dynamic security framework that adaptively responds to new threats, enabling AI systems to function without compromising sensitive data. Through effective lifecycle management, organizations can reap the rewards of AI’s potential while mitigating the associated risks. This strategic imperative empowers businesses to make AI-driven operational decisions with confidence, enhancing their market position and ensuring sustained success. ### Leveraging Advanced Tools for Enhanced Security Incorporating advanced tools in NHIs can significantly enhance an organization’s security infrastructure. Platforms designed for NHI management provide insights into ownership patterns, usage, and potential vulnerabilities. With this data, security professionals can craft context-aware security strategies that align with the organization’s broader operational goals. Such integration of advanced tools doesn’t only facilitate operational efficiency but also enables precise AI-driven decisions that enhance the certainty of business outcomes. By leveraging technology to its fullest, businesses can ensure that their operations are not just secure but also agile and responsive to changes. For a deeper understanding of how organizations can optimize their security strategies and AI functionalities, you may find these insights on good secrets management to be particularly enlightening. ### Key Data-Driven Insights for AI-Driven Operations Data-driven insights are fundamental for making decisions that have a lasting impact on business certainty. By drawing on analytics and insights related to NHIs, organizations can better understand usage patterns and potential security gaps. This knowledge is critical for refining AI models and ensuring they deliver the most accurate and reliable outcomes. Moreover, a focus on data-driven insights supports the identification of trends that could influence future security strategies. This foresight is invaluable in crafting AI-driven operational decisions, facilitating a proactive response to emerging threats while maintaining a seamless user experience. ### The Strategic Importance of NHI Management In conclusion, the management of Non-Human Identities plays an indispensable role in enhancing AI-driven decisions and ensuring business certainty. By managing these machine identities effectively, organizations can reduce risk, improve compliance, and optimize operational efficiency. With the demand for secure cloud environments grows, the strategic importance of NHIs cannot be overstated. Organizations that prioritize a comprehensive NHI management strategy position themselves favorably. They not only protect themselves from potential threats but also empower their AI systems to deliver enhanced business outcomes. ### Integrating NHIs with AI Operations for Strategic Advantage How can organizations ensure that their AI-driven operations are not just robust but also intelligent and responsive? The integration of Non-Human Identities into AI systems creates a foundation where machine interactions are safeguarded, allowing AI algorithms to perform efficiently without unnecessary interruptions or security concerns. Industries such as financial services and healthcare rely heavily on AI analytics and predictive modelling. Ensuring these AI systems operate effectively involves an in-depth understanding of the machine identities that communicate within these networks. An example would be a banking institution utilizing AI for fraudulent transaction detection. Here, NHIs help secure the data channels and confirm that every machine involved is both legitimate and authorized, thus enhancing the efficacy of the AI’s predictive capabilities. ### Building a Robust Security Culture Developing a security-conscious culture is paramount when managing NHIs, especially in AI-driven environments. Encouraging collaboration and communication among IT, security, and R&D teams mitigates the risks of misconfiguration or oversight that could lead to data breaches. Organizations can cultivate this culture by: * **Training:** Regular training sessions on the importance of NHIs and their role within AI. * **Collaboration:** Encouraging cross-departmental projects that require input from both security and R&D teams. * **Policy Development:** Instituting comprehensive security policies that encompass NHI management as a core component. The systematic integration of security protocols into the organizational fabric can act as a strong defense against potential threats, transforming NHIs from a point of vulnerability to a strategic asset. ### The Role of Automation in NHIs Management How does automation redefine NHI management, and what implications does it hold for AI-driven decision-making? Automation is a keystone in modern security frameworks. Automating the management of NHIs reduces the potential for human error and ensures consistent policy enforcement across the board. Incorporating automation practices includes several components: * **Automatic Rotation:** Seamless rotation of secrets to prevent unauthorized access. * **Configuration Management:** Setting and maintaining secure configurations across environments. * **Alert Systems:** Automated alerts for abnormal activity related to NHIs, enabling a swift response to potential breaches. This automation liberates the IT and security teams from routine maintenance tasks, allowing them to focus on strategic initiatives that drive AI advancements and optimize operational efficiencies. ### Effective NHI Governance Strategies Governance is the backbone of any successful security strategy. Establishing robust governance frameworks for NHIs supports optimized control over machine identities, ensuring they are used responsibly and effectively within AI systems. Key strategies include: * **Policy Implementation:** Enforcing strict policies governing the creation, usage, and decommissioning of NHIs. * **Access Controls:** Fine-tuning access controls to safeguard sensitive data from potentially unauthorized access. * **Audit Trails:** Maintaining comprehensive audit trails to monitor and evaluate NHI activity. By adhering to these governance practices, organizations can amplify trust in their AI systems, making them more reliable and resilient against cyber threats. ### Addressing Emerging Challenges and Trends What emerging trends and challenges should businesses be aware of in NHIs and AI? With technologies continue to evolve, cybersecurity is in constant flux, bringing forth new challenges and opportunities. Understanding these trends is vital for anticipating and responding to potential threats effectively. For instance, the rise of edge computing introduces new complexities in managing NHIs, as it involves decentralized data processing. In these scenarios, an adaptive approach to NHI management ensures that data integrity and authenticity are maintained, no matter where the data is processed. Furthermore, with AI systems become more sophisticated, the need for real-time detection and response capabilities becomes crucial. This necessitates continuous advancements in NHI management technologies that are capable of supporting and enhancing AI functionalities. ### Future Directions for AI and NHI Integration With security threats become more sophisticated, what will be the next frontier for NHIs within AI ecosystems? The trajectory points towards a tighter integration of NHIs in AI-driven frameworks, where the lines between identity management and AI operations blur even further. The advancements in machine learning and artificial intelligence offer innovative ways to predict and detect anomalies in NHI interactions. These technologies are poised to tailor security responses dynamically, adapting to evolving threats in real time. Moreover, the focus on integrating NHIs with AI is likely to broaden where industries recognize the indispensable role of secure machine identities in driving reliable AI outcomes. Organizations must stay agile and continuously adapt their strategies to harness these synergies effectively. For those who wish to delve deeper into current cybersecurity and explore notable cybersecurity incidents, the infamous cybersecurity leaks of 2023 are worth investigating. Incorporating a strategic approach to managing NHIs not only minimizes risks but also enhances the potential of AI systems to deliver secure, intelligent, and impactful business outcomes. With the correct frameworks and practices in place, organizations can capitalize on the full capabilities of AI, underpinned by securely managed machine identities. The post Why must businesses be certain about AI-driven operational decisions appeared first on Entro. *** This is a Security Bloggers Network syndicated blog from Entro authored by Alison Mack. Read the original post at: https://entro.security/why-must-businesses-be-certain-about-ai-driven-operational-decisions/

Why must businesses be certain about AI-driven operational decisions How Do Non-Human Identities Impact AI-Driven Decisions in Cybersecurity? Have you ever considered how machine identities, which ...

#Security #Bloggers #Network #Agentic #AI #Cybersecurity

Origin | Interest | Match

Conf. Paper (preprint): "The Attack and Defense Landscape of #Agentic #AI: A Comprehensive Survey" (via #arXiv) arxiv.org/abs/2603.11088 #agenticA #infosec

(1/3) After a busy week of #agentic #AI #coding, I've come up with the following strategy:

I treat my coding #agent as junior programmers. I run a tight loop where I prompt, and immediately check its work afterwards and refactor if I don't agree with the code. I never let agents run unattended.

LangChain Releases Deep Agents: A Structured Runtime for Planning, Memory, and Context Isolation in Multi-Step AI Agents Most LLM agents work well for short tool-calling loops but start to break do...

#Agentic #AI #AI #Agents #AI #Shorts #AI #Tool […]

[Original post on marktechpost.com]

Scott and Rob use Claude Code to build an app using Test-Driven Development YouTube video by Essential Test-Driven Development

The pivotal session that is helping me see a path forward for AI-augmented test-driven development.

(Video is a bit rough 'n' ready, but packed with insights...er, once we got going...)

#AIdevelopment #LLMs #agentic #TDD #softwaredevelopment

youtu.be/Oz3KS9-Yohg

How reassured can we be with our current cloud security strategies Are Your Cloud Security Strategies Providing the Reassurance You Need? Achieving confidence requires more than just traditional me...

#Cloud #Security #Data #Security #Security […]

[Original post on securityboulevard.com]

#Nvidia’s annual GTC conference will showcase new details about its #agenticoptimised #CPUs, signalling a shift in focus from #GPUs to CPUs due to the increasing demand for general compute power in #agentic #AIworkflows. Nvidia’s CPUs, designed to optimise GPU performance, are facing a “quiet…

Systima Comply: EU AI Act Compliance Scanning for CI/CD Pipelines Systima Comply: open-source EU AI Act compliance scanning for CI/CD. Detects 37+ AI frameworks, validates risk classifications, checks Articles 5-50, and posts findings in pull requests.

A CLI tool that scans your codebase for EU AI Act compliance risks and optionally blocks deployment if any are detected.

Saves them as a PR comment and/or PDF.

systima.ai/blog/systima...

#euaiact #github #agentic

Image Description: A ghost-like human figure composed of fragmented dollar bills and data fragments stands in an empty office, dissolving into the air. The left half of the image is rendered in warm copper and terracotta tones with candlestick charts on the wall; the right half shifts to cool blue-grey with the same motif. The floor shows a geometric chessboard pattern. Two empty desks and office chairs flank the figure — the office is abandoned. Context: This image illustrates the concept of "Ghost GDP": economic output that appears in national accounts but never circulates through real people. The accompanying paper analyzes how AI simultaneously displaces physical and cognitive labor, breaks the consumption cycle, and produces statistical growth without purchasing power. It connects this structural rupture to the post-growth debate and argues — through the perspectives of Trump, Xi, Merz, BRICS, and institutional investors — that a global machine tax financing an Unconditional Basic Income (UBI) is the only systemic response. The window for action is still open. But it is closing. Ghost GDP: Growth Without Prosperity? Through AI? FOSSEA³M Research Group. CC SA BY 4.0.

AI builds Ghost GDP: growth that never reaches people. Machines don't pay taxes, don't consume, don't stabilize markets. New paper: who profits, who pays, and why a machine tax and UBI could be the solution:

y.lab.nrw/ghost-gdp

\__
#GhostGDP #MachineTax #UBI #AIEconomy #GenAI #AI #Agentic

How is Agentic AI innovating financial sector practices ## Are Non-Human Identities the Key to Securing the Financial Sector? One topic gaining notable traction is the management of Non-Human Identities (NHIs). With financial institutions increasingly migrate to cloud-based operations, securing machine identities becomes pivotal. These NHIs—consisting of encrypted passwords, tokens, or keys that define machine identities—are critical to ensuring secure operations and protecting sensitive data. ### Understanding Non-Human Identities NHIs function similarly to human identities in cybersecurity terms. They represent machine identities created by combining a “Secret” and a set of permissions, akin to a passport and visa combination. These identities are the foundation of communication between machines, such as applications and servers, making them essential in maintaining a secure digital environment. Managing NHIs involves more than just securing the identities themselves; it includes safeguarding access credentials and observing behavioral patterns within systems. This comprehensive approach helps identify potential risks and vulnerabilities before they escalate into significant threats. ### The Financial Sector’s Need for Innovation The financial industry’s transition to cloud technologies necessitates robust security measures to protect its data. NHIs, with their meticulous management, provide the required sophistication in defending against cyber threats. By utilizing NHIs, financial institutions can achieve several advantages: * **Reduced Risk:** Proactively identifying and mitigating security risks to prevent breaches and data leaks. * **Improved Compliance:** Assisting in meeting regulatory requirements through policy enforcement. * **Increased Efficiency:** Automating NHIs and secrets management allows security teams to focus on strategic initiatives. * **Enhanced Visibility and Control:** Offering a centralized view for access management and governance. * **Cost Savings:** Automating secrets rotation and decommissioning NHIs helps reduce operational costs. For financial organizations, this translates into a more resilient security framework capable of adapting to evolving threats. ### Bridging Security Gaps with NHI Management One notable challenge is the disconnect between security teams and research and development (R&D) teams. This divide can lead to security gaps that compromise the financial sector’s integrity. However, NHI management platforms can bridge this gap by providing context-aware security solutions that span the entire lifecycle of NHIs. These platforms offer insights into ownership, permissions, usage patterns, and potential vulnerabilities, enabling organizations to make informed decisions and implement preventive measures. By addressing all stages of the NHI lifecycle—from discovery and classification to threat detection and remediation—financial institutions can fortify their security posture effectively. ### The Strategic Importance of Context-Aware Security Context-aware security, facilitated by NHI management, provides the financial sector with a comprehensive understanding of machine identities and their roles. Unlike point solutions such as secret scanners, which offer limited protection, NHI management delivers a holistic approach, enhancing the overall security framework. This approach empowers financial institutions to not only protect sensitive data but also improve operational efficiency. By automating the management of NHIs and secrets, institutions can focus resources on more strategic aspects of their operations, ultimately driving innovation and competitiveness. ### The Role of Agentic AI in Financial Innovation With finance looks towards innovation, Agentic AI has emerged as a transformative force. By integrating AI technologies, financial institutions can enhance their decision-making processes, streamline operations, and improve customer interactions. However, the integration of AI also requires a robust security framework that can handle the complexities of AI-driven applications. NHIs play a crucial role by ensuring that AI systems operate securely. By managing machine identities effectively, financial institutions can harness the power of Agentic AI while safeguarding their operations against potential threats. ### A Unified Approach to Cybersecurity For financial institutions, the integration of cybersecurity strategies that encompass NHI management and Agentic AI is becoming essential. By adopting a unified approach, organizations can enhance their security frameworks and drive innovation across their operations. Where the financial sector continues to evolve, the management of NHIs and the adoption of AI technologies will play increasingly pivotal roles. By focusing on these elements, financial institutions can secure their operations, protect sensitive data, and maintain a competitive edge. Incident response planning becomes crucial, allowing organizations to respond efficiently to any potential security incidents. By following best practices, financial institutions can ensure they are prepared to handle threats swiftly and effectively, minimizing potential damage and maintaining customer trust. In conclusion, the strategic importance of NHI management cannot be overstated. By embracing this approach, financial institutions can secure their operations, protect sensitive data, and drive innovation. With cybersecurity continues to evolve, the management of NHIs will remain a cornerstone of effective security strategies in financial industry. ### The Role of Effective Security Culture How can organizations create a robust security culture that extends beyond technology and incorporates human behavior and attitudes? Keeping in mind that cybersecurity isn’t just a technical challenge but also a human one, fostering a culture of security awareness is pivotal. Financial institutions can leverage training programs and simulation exercises to ensure that both staff and machines are well-prepared to handle potential cybersecurity threats. By cultivating an understanding of the importance of NHIs and their management, organizations can align their workforce toward more secure and conscious operations. A security culture promotes: * **Awareness and Vigilance:** Encourages employees to remain alert and report unusual behaviors. * **Shared Responsibility:** Empowers everyone, from developers to executives, to be proactive in managing security threats. * **Enhanced Communication:** Facilitates seamless exchange of information between departments such as IT and R&D, bridging potential gaps. Such a culture complements the technical components of cybersecurity strategies, fostering an environment where security is a shared priority. ### Proactive Compliance and Regulatory Adaptation Have you considered how proactive compliance can offer a competitive advantage? With regulatory evolve, particularly in finance, maintaining compliance is not just about meeting existing standards but also anticipating future requirements. NHIs play a significant role here by providing automated audit trails and policy enforcement mechanisms that help institutions keep up with regulatory changes without overstretching their resources. This proactive stance enables financial organizations to: * **Stay Ahead of Regulatory Changes:** Adapts swiftly to new regulations, avoiding potential fines or sanctions. * **Enhance Trust with Stakeholders:** Demonstrates commitment to security and compliance, boosting confidence among clients and partners. * **Streamline Compliance Processes:** Reduces the manual workload on security teams, allowing them to focus on strategic initiatives. By integrating NHIs into their compliance strategies, organizations not only meet regulatory demands but position themselves as leaders in security innovation. ### The Strategic Benefits of Automation in NHIs Why is automation pivotal for managing NHIs effectively? Where the volume and complexity of machine identities continue to grow, automation in NHIs management ensures efficiency and accuracy in processes often prone to human error. Automated systems streamline secrets rotation, decommissioning, and access monitoring, transforming NHI management from a cumbersome task into a streamlined function. Automation provides: * **Risk Reduction:** Minimizes human error, often the weakest link in security systems. * **Resource Optimization:** Frees up time for security professionals to focus on strategic initiatives, rather than routine tasks. * **Consistent Security Posture:** Ensures continuous compliance with security policies without manual intervention. Moreover, integrating automation with NHIs supports an agile security that can adapt swiftly to new challenges, a necessity. ### Exploring Agentic AI’s Contribution to Financial Services What role does Agentic AI play in advancing financial services? With the capability to analyze vast data sets and identify patterns, Agentic AI empowers financial institutions to make informed decisions quickly. Combined with robust NHI management, these advanced AI systems bolster security by ensuring that only authorized machine identities interact with sensitive data. The integration of Agentic AI benefits financial institutions by: * **Improving Fraud Detection:** Uses behavior analysis to identify anomalies and potential threats in real-time. * **Enhancing Customer Experience:** Streamlines operations, providing clients with a seamless and secure banking experience. * **Driving Innovation:** Accelerates the development of new products and services by providing data-driven insights. By utilizing Agentic AI in conjunction with secure NHIs, financial organizations unlock new potentials for growth, innovation, and efficiency. ### Bridging Gaps and Building Future-Ready Cybersecurity Strategies Are financial institutions prepared to face rapidly changing threats by aligning their security strategies with technological advancements? Bridging the gap between innovative technology and security protocols is crucial to building resilient and future-ready organizations. Adopting a forward-looking approach that encompasses NHIs and emerging technologies like Agentic AI ensures that financial institutions remain one step ahead of cyber adversaries. A comprehensive cybersecurity strategy entails: * **Integrative Solutions:** Combines state-of-the-art technology with strategic planning for a robust defense architecture. * **Continuous Assessment:** Regular evaluations of security measures against new vulnerabilities and emerging threats. * **Strategic Collaboration:** Encourages information sharing and cooperation among industry players to enhance collective security. By weaving NHIs into the fabric of their security strategies, financial institutions can navigate future challenges and capitalize on emerging opportunities. Additionally, businesses can develop sound incident response plans to deal with any breaches swiftly. These strategic efforts facilitate not only protection and compliance but also foster growth and competitive advantage in financials sectors, making them integral to the digital evolution of the industry. The post How is Agentic AI innovating financial sector practices appeared first on Entro. *** This is a Security Bloggers Network syndicated blog from Entro authored by Alison Mack. Read the original post at: https://entro.security/how-is-agentic-ai-innovating-financial-sector-practices/

How is Agentic AI innovating financial sector practices Are Non-Human Identities the Key to Securing the Financial Sector? One topic gaining notable traction is the management of Non-Human Identiti...

#Security #Bloggers #Network #Agentic #AI #Cybersecurity

Origin | Interest | Match

Oh hai BlueSky!

Finally remembered to pop by.

I'm running Agentic Development classes starting next week, and while it's using #msdyn365bc as the project, the techniques are for any #agentic development.

jeremyvyska.com/2026/03/01/a...

Anthropic-Pentagon battle shows how big tech has reversed course on AI and war Less than a decade ago, Google employees scuttled any military use of its AI. Now Anthropic is fighting Trump officials not over if, but how

No. Sam #Altman. #Agentic #AI autonomous insurrection creators. Fake news to the max.
#Albus vector
One company doing a good thing does not a nice industry make. Forget this noise.

The Genealogy of Infrastructure Why CMDB Agentic Discovery Needs Confidence Metrics

Do you trust your CMDB? Do your users? Confidence is a problem that needs to be tackled head on. Thankfully some stuffy british professor types have a few tricks on how we tackle that, especially as we head into an Agentic Discovery future. #agentic #cmdb #ai #itom

medium.com/@tatonca/the...

Elon Musk Unveils ‘Macrohard,’ an AI Built to Replace Software Companies Elon Musk unveils “Macrohard,” a Tesla and xAI AI system designed to perform complex computer tasks and potentially ...

#Artificial #Intelligence #Chatbots #Innovation #International #Latest #News #agentic #AI #artificial […]

How to Build Agentic RAG with Hybrid Search Learn how to build a powerful agentic RAG system The post How to Build Agentic RAG with Hybrid Search appeared first on Towards Data Science .

#RAG #Agentic #Ai #Information #Retrieval #Llm #Machine […]

[Original post on towardsdatascience.com]

TL;DR: Paperclip is like Steve Yegge's Gas Town for the rest of us?

github.com/paperclipai/...

#genai #agentic #orchestration

*Standard crypto-bro pivot-to-Agentic here. Note that he asserts that human crypto-bros will be overwhelmed by trading-agents, and the life of a crypto-bro won't even be technically possible. #agentic #crypto

Model Context Protocol (MCP) vs. AI Agent Skills: A Deep Dive into Structured Tools and Behavioral Guidance for LLMs In recent times, many developments in the agent ecosystem have focused on enabli...

#Agentic #AI #AI #Agents #Editors #Pick #Model #Context […]

[Original post on marktechpost.com]

AI coding agents keep repeating decade-old security mistakes Coding agents are now writing production features on real development teams, and a new report from DryRun Security shows that those agen...

#Don't #miss #Hot #stuff #News #agentic #AI […]

[Original post on helpnetsecurity.com]

Exclusive! Navigating the Agentic Era: AI Observability as Your Control Plane AI observability is emerging as a critical foundation for managing complex, agentic systems while ensuring resilience, ...

#Agentic #AI #Cybersecurity #Digital #Economy #Innovation

Origin | Interest | Match

RSAC Innovation Sandbox | Token Security： Advocate of the Machine-First Identity Security Concept Company Introduction Token Security[1] (see Figure 1) is a cybersecurity company focusing on the...

#Security #Bloggers #Network #Agent/MCP #Agentic #AI […]

[Original post on securityboulevard.com]

Agentic AI — LLM Tools of Chains Thought-Action-Observation (TAO) Pattern In building intelligent systems, we want AI that can think clearly, act decisively, and observe outcomes to improve. The TAO pattern —…

Agentic AI - LLM Tools of Chains Thought-Action-Observation (TAO) Pattern

Medium - Link : zack4dev.medium.com/agentic-ai-l...

#Agentic #LLM #Tool-Of-Chains #ReAct-Loop

India Strengthens Legal Protections for Children in the Age of AI India is strengthening legal safeguards, data protection and governance frameworks to ensure responsible AI use, especially protect...

#Agentic #AI #Cybersecurity #Innovation #Smart #Nation

Origin | Interest | Match

Hot Pockets Pro Max · March 12, 2026 Ep #235 Hot Pockets Pro Max (presented by Warp ) Robbie and I chat OpenClaw , token optimizations, liberating data from walled gardens, burn windows, and of course some whiskey and some whatnot. ⤷ whi...

🦞 OpenClaw
🪟 Burn windows
🪏 Escaping walled gardens
🥃 Whiskey & whatnot

⤷ nerdy.dev/hot-pockets-...

on @whiskey.fm #agentic #web-development

How smart can Agentic AI become in protecting assets Can Smart Agentic AI Revolutionize Asset Protection? How can organizations harness the power of Agentic AI to safeguard their most valuable asse...

#Data #Security #Security #Bloggers #Network […]

[Original post on securityboulevard.com]

Agentic Retail Storefronts ... digital AI commerce characterized by horizontal, machine-mediated personal interfaces. Read Article Click Here evorelic.com/blogs/news/a...

#agentic #artificialintelligence #autonomous #ecommerce #retail

#TimTalk - The Autonomy Paradox: Building AI We Can Trust to Act with Nell Watson and Ali Hessami buff.ly/oM1odHi via @DLAIgnite #SocialSelling #DigitalSelling #Sales #SalesLeader #Marketing #Leadership #ArtificialIntelligence #Tech #TechNews #AgenticAI #AIAgents #Agentic #AI #FutureOfWork