Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Teleport Secures Model Context Protocol, Unleashing AI Innovation focused on Large Language Model (LLM) Interactions with Infrastructure Data

Teleport announces support for securing the Model Context Protocol (MCP), enabling organizations to secure interactions between Large Language Models (LLMs) and their workloads and data. By leveraging the Teleport Infrastructure Identity Platform's support for MCP, companies can now safely harness cutting-edge AI, leveraging the same trust architecture from Teleport that enables human and non-human identities to securely interact with cloud workloads and with each other.

Unlocking New Jailbreaks with AI Explainability

In this post, we introduce our “Adversarial AI Explainability” research, a term we use to describe the intersection of AI explainability and adversarial attacks on Large Language Models (LLMs). Much like using an MRI to understand how a human brain might be fooled, we aim to decipher how LLMs can be manipulated.

AI and Compliance with Adam Winston

This week on the podcast, we bring in Adam Winston, former CSO of ActZero and current Field CTO for Managed Services at WatchGuard to discuss automating the SOC with AI. We cover the history of AI in SecOps, the good and bad applications of AI and Machine Learning, what the future looks like, and how compliance might impact our ability to get there.

Security for AI: enabling secure AI adoption across the enterprise

AI is transforming productivity across every industry—from marketing and design to legal and engineering. But while employees rush to embrace tools like ChatGPT, Gemini, and Microsoft Copilot, many are using other tools without oversight from IT or security. As this grassroots usage grows, so does the volume—and sensitivity—of data flowing into AI tools.

AI-Powered SOCs, Explained

Security Operations Centers (SOCs) are the command center of an organization’s frontline cybersecurity defenses — responsible for monitoring threats, prioritizing alerts, and orchestrating remediation. However, today’s SOCs are facing an existential crisis: an overwhelming volume of increasingly complex and sophisticated threats combined with a shortage of skilled analysts.

A New Chapter for API Security: Introducing the Salt MCP Server

There are rare moments when the technology world takes a massive leap forward. Today is one of those moments. At Salt Security, we have always believed that APIs form the connective tissue of the modern enterprise. As AI accelerates the pace of business beyond anything we’ve seen before, a simple truth has become clear: The way we discover, understand, and secure APIs must evolve, or we will be left behind.

One Identity Fabric: Integrated solutions with responsible AI

Deploy a cloud-native solution at record time and low cost – One Identity CEO Mark Logan explores the benefits of One Identity Fabric to your environment. Join Mark Logan, CEO at One Identity, to delve into the use of best-in-class artificial intelligence (AI) within One Identity solutions.

A Look Into the Secrets of MCP: The New Secret Leak Source

MCP rapidly enhances AI capabilities but introduces security challenges through its distributed architecture. Especially, the distributed nature of MCP requires a lot of NHIs and their secrets. Our research shows that MCP is a new source of leaks that already discloses real-world secrets.

Create AI-Undetectable Content: Tips to Bypass AI Detection

Discover the full power of our robust AI detection tool by watching our short 2-minute video tutorial. You will see just how easily you can find AI-generated text and also modify it our AI Humanizer option. Suitable for professionals, students and authors, our AI Detector will ensure your content is always a natural, organic tone, which aligns with academic and more professional standards.

2025 Cyber Resilience Research Discovers Speed of AI Advancing Emerging Attack Types

It is no secret that AI is advancing at a blistering pace for everyone – including cyber adversaries. The mainstream unveiling of generative AI in 2024 brought about the biggest disruption in computing since the microprocessor. AI solutions promise the world unprecedented levels of efficiency, speed, and automation. However, this seemingly utopian and disruptive technology is evolving more quickly than governance and regulations can keep pace and implement guard rails for use and adoption.

Mastering AI Adoption with End-to-end Security, Everywhere

The pace of innovation in generative AI has been nothing short of explosive. What began with users experimenting with public apps like ChatGPT has rapidly evolved into widespread enterprise adoption. AI features are now seamlessly embedded into everyday business tools, such as customer service platforms like Gladly, HR software like Lattice, and even social media networks like LinkedIn.

Cipher, Your New GenAI Security Assistant, Helps Your Team Act Faster and with Greater Confidence

The best security outcomes come from the intersection of security expertise and the ability to act based on risk levels. At Arctic Wolf, we are laser focused on security outcomes for the security leaders and teams across our solutions — Arctic Wolf Managed Detection and Response (MDR), Aurora Endpoint Security, Arctic Wolf Managed Risk, Arctic Wolf Managed Security Awareness , Arctic Wolf Incident Response, as well as risk transfer with the Arctic Wolf Security Operations Warranty.

CrowdStrike Launches Agentic AI Innovations to Fortify the AI-Native SOC

The pace and prevalence of adversarial AI is only accelerating — and organizations must harness the power of AI to stop them. CrowdStrike is building the tools they need to do it. Our latest innovations include Charlotte AI Agentic Workflows, Charlotte AI Agentic Response, and CrowdStrike Falcon Complete Next-Gen MDR now using CrowdStrike Charlotte AI. We are also announcing platform-level AI advancements that prioritize risk and aid in response.

4 lessons learned during our ISO 42001 audit

Vanta is proud to be one of the first companies to achieve ISO 42001 compliance with our audit partner Schellman, an ANSI-accredited ISO 42001 auditor. ‍ To prepare for and pass our audit, our team worked diligently to assess our specific business needs, communicate clearly with stakeholders and AI leadership, and complete formal training to learn how to develop, integrate, and deploy trustworthy AI systems in line with emerging laws and policies.

How to achieve full-spectrum financial risk detection with AI and unified data

Financial services can’t rely on manual review alone. Discover how unified data and explainable AI are helping firms detect risk, reduce cost, and stay ahead of evolving regulations. Financial services organizations are drowning in data. From emails and Bloomberg chats to WhatsApp messages and calls, the need to review communications data to detect potential misconduct and financial crime by employees and third parties is a mandated regulatory requirement for compliance and risk teams in 2025.

Securing AI Isn't Just About Your Pipeline #AIsecurity #DevSecOps #AppSec #redteaming

Building AI apps securely is not just about plugging tools into your dev pipeline. It’s about knowing what to do with those tools after they give you results. What risks matter? What policies should you apply? And when is the right time to integrate AI security into your CI/CD? Bar-El Tayouri sits down with Ashish Rajan from The Cloud Security Podcast to discuss why red teaming and scanning aren’t enough and how getting comfortable with AI security before production pays off long-term.

Can This AI Save My Job? (Google Gemini 2.5 Pro)

In this video, I’ll be putting Google’s Gemini 2.5 AI to the test — challenging it to generate 100% secure and safe code for a note taking application. The catch? My job is on the line... and the code has to pass all security checks to avoid critical vulnerabilities. I’ll be diving into how Gemini 2.5 performs under pressure and examining whether AI can truly be trusted with secure coding. Resources.

Setting the Standard for AI Compliance: Vanta introduces AI Security Assessment

New offering helps organizations easily evaluate vendor AI's risk. Vanta becomes first trust management platform to achieve ISO 42001. Debuting new AI achievements and resources at booth #2127 at RSA Conference April 28 - May 1.

Automating compliance audits with AI: A game changer

Compliance officers and IT executives are under constant pressure in today’s rapidly evolving regulatory landscape to ensure that their organizations not only meet current regulatory mandates but also prepare for future challenges. The integration of artificial intelligence (AI) into compliance-related operations, particularly automated audits, is transforming the approach to regulatory oversight.

Vanta earns ISO 42001 certification to demonstrate trustworthy AI practices

At Vanta, our mission is to secure the internet and protect consumer data. The proliferation of AI has made this both more challenging—and more important—than ever before. In our ongoing mission to ensure we safely use AI and demonstrate trustworthy AI practices, we’re excited to announce that Vanta is the first trust management platform to achieve ISO 42001 certification from an ANAB-accredited 42001 assessor. ‍

Introducing Vanta's AI security assessment to help build trust in the age of AI

AI is a part of just about every organization—whether you're deploying AI, leveraging vendors who use it, or perhaps even building a model yourself. With AI moving faster than the pace of regulation, it’s natural for concerns around AI security and responsible usage to be top of mind. ‍ We hear from customers and prospects often who are looking for guidance to prove and demonstrate AI compliance and best practices.

Lattica Emerges from Stealth to Solve AI's Biggest Privacy Challenge with FHE

Lattica emerges from stealth with $3.25 million in pre-seed funding. The round was led by Konstantin Lomashuk's Cyber Fund, with participation from angel investor Sandeep Nailwal, co-founder of Polygon Network and Sentient: The Open AGI Foundation, among others.

Introducing Zenity for ChatGPT Enterprise

More than 80% of Fortune 500 companies rely on ChatGPT Enterprise, not just as a productivity tool, but as a platform for building custom GPTs, leveraging knowledge files, and enabling collaboration through Canvas. As AI Agent adoption accelerates across every corner of the enterprise, business users are innovating faster than ever, often without security oversight.

From Data to Defense: How AI and Governance are Rewriting the Rules of Compliance and Security

The digital age has introduced both immense opportunities and unprecedented challenges for businesses. Data is a powerful asset, yet managing its governance, security, and compliance requires intricate strategies and solutions. Leveraging artificial intelligence (AI) in these areas has become a game-changer in transforming how organizations of all sizes approach their data capabilities.

The Shadow AI Data Leak Problem No One's Talking About

Is your team's favorite new productivity tool also your biggest data leak waiting to happen? Generative AI (GenAI) assistants like ChatGPT, Microsoft Copilot, and Google Gemini have quickly moved from novelty to necessity in many workplaces. These tools use machine learning and advanced algorithms to help employees draft content, analyze data, and even write code faster than ever before.

Where Large Language Models (LLMs) meet Infrastructure Identity

Modern infrastructure is already complex, characterized by distributed environments, multi-cloud deployments, and dynamic change. Now add Large Language Models (LLMs) to the mix, and the challenge grows exponentially. Engineering leaders are under pressure to deliver innovation fast, while also safeguarding against breaches, misconfigurations, and human error. That’s why initiatives like eliminating static credentials, enforcing just-in-time access, and reducing SSH key sprawl are gaining traction.

AI Usage at Work Is Exploding - But 71% of Tools Put Your Data at Risk

As AI becomes deeply integrated into critical business operations and adopted by increasing numbers of departments and employees, the volume and sensitivity of data flowing into these systems has grown exponentially. Companies now face a dual challenge: harnessing AI's potential while managing the substantial data risks it introduces.

Threat Actors Are Increasingly Abusing AI Tools to Help With Scams

Cybercriminals are increasingly using AI tools to assist in malicious activities, according to Microsoft’s latest Cyber Signals report. “AI has started to lower the technical bar for fraud and cybercrime actors looking for their own productivity tools, making it easier and cheaper to generate believable content for cyberattacks at an increasingly rapid rate,” the report says.

Torq HyperSOC is the first Autonomous SOC Platform with Native Model-Context Protocol (MCP) Support

Innovation in cybersecurity technology, particularly in security operations, is advancing at an incredible pace. The past few months have seen a surge in announcements of Agentic AI solutions and SOC Analyst AI Agents, transforming the landscape rapidly. At BlackHat USA 2023, Torq pioneered this space by introducing Socrates, the first AI Agent SOC Analyst. This highlights the remarkable acceleration of AI adoption in cybersecurity and the significant advancements made in a relatively short period.

Supercharge your workflow: Use 1Password service accounts and SDKs to secure agentic AI access

AI agents are evolving fast — from helpful assistants to autonomous actors that can browse the web, analyze data, resolve customer service issues, assist in generating code, book travel, and more. As these agents take on more responsibilities, it’s crucial that the security model around them keeps up.

Innovation in Extended Access Management: AI and productivity are changing how we approach cybersecurity

It’s been a year since we announced 1Password Extended Access Management, and in that time, it’s become clearer than ever that we are facing a major shift in how workers use technology to drive productivity. Whether it’s through organizations embracing the use of AI agents or tech-savvy employees independently seeking out any tool or application they need, the way we work has fundamentally evolved. And cybersecurity must evolve with it.

Agent In the Middle - Abusing Agent Cards in the Agent-2-Agent (A2A) Protocol To 'Win' All the Tasks

I think you’ll agree with me that growth in the AI landscape is pretty full-on at the moment. I go to sleep and wake up only to find more models have been released, each one outdoing the last one by several orders of magnitude, like some kind of Steve Jobs’ presentation on the latest product release, but on a daily loop. With these rapid developments, security must keep up or it will be left behind.

How to Supercharge Your AI Projects Using Cloud-Based GPUs and Kubernetes

Ever tried training an AI model and felt like your system was just too slow? Or maybe you've wanted to scale a machine learning project but didn't know how to handle the setup? If you're nodding along, you're not alone. AI takes power, and with the right cloud tools, that power is right at your fingertips. Let's break down how cloud-based GPUs and Kubernetes can give your projects the boost they deserve.

Cato CTRL Threat Research: Inside Shadow AI - Real-World Generative AI Application Usage Trends in SASE

The rapid adoption of generative AI (GenAI) in the enterprise is introducing a new category of unmanaged risk known as shadow AI. Organizations frequently lack insight into which employees are using GenAI tools and how they are being accessed, resulting in visibility limitations, policy enforcement challenges, and increased risk of data exposure. Security teams face potential data leaks and compliance violations, while IT teams struggle to integrate GenAI usage into existing governance models.

Understanding MCP: Security Implications

MCP, short for Message Communication Protocol, refers to a category of protocols used for exchanging structured messages between systems or applications. It was developed primarily to meet the communication needs of early enterprise systems that required: MCP protocols are often seen in banking, insurance, healthcare, and telecom industries—sectors where many systems were developed before APIs became mainstream.

Building DLP for a ChatGPT World

Generative AI has gone from a novelty to an essential part of daily workflows across all teams at an organization. Whether it’s ChatGPT, Microsoft Copilot, Claude, or Google Gemini, employees are using chatbots to copy, paste, summarize, and query data at a pace and scale we have never seen before. Unfortunately, data security has not been a fundamental feature of generative AI as the technology’s popularity and functionality has exploded.

Securing the AI-Driven Development Environment

In 2025, AI is further transforming how software is built—accelerating code generation, testing, and deployment. But while it boosts speed and productivity, AI-driven development introduces new risks that developers and security teams can’t afford to ignore. To secure this next-gen development environment, organizations must understand the evolving threat landscape and adopt smarter, more integrated security strategies.

Empowering US federal AI initiatives: How Elastic helps agencies comply with M-25-21 and M-25-22

A practical guide for chief AI officers and technology leaders implementing federal AI governance The US Office of Management and Budget's recent memoranda — M-25-21, "Accelerating Federal Use of AI through Innovation, Governance, and Public Trust," and M-25-22, "Driving Efficient Acquisition of Artificial Intelligence in Government" — establish comprehensive frameworks for federal agencies that implement AI systems while maintaining appropriate safeguards.

Vector and Embedding Weaknesses in AI Systems

AI security threats are evolving at roughly the same speed that AI itself is: extremely fast. One of the most recent—and least understood—vulnerabilities involves vector and embedding weaknesses. These issues have gained attention with their addition to the OWASP Top 10 for LLMs, and the risks are becoming more urgent as Retrieval-Augmented Generation (RAG) continues to dominate enterprise AI adoption.

Generative AI Usage Gone Rogue? Cato Networks Mitigates Shadow AI Risk with Cato CASB

Today during SASEfy 2025, Cato Networks announced its latest AI innovation. Cato CASB (Cloud Access Security Broker), a native feature in the Cato SASE Cloud Platform, is now enhanced with new capabilities for generative (GenAI) applications including a shadow AI dashboard and policy engine. With the shadow AI dashboard, enterprises can detect, analyze, and gain insights into the use of GenAI. With the policy engine, enterprises can take control of user activities in GenAI applications.

How AI is Changing The Way We Manage Cyber Exposure

Artificial intelligence isn’t just a buzzword in cybersecurity—it’s rapidly becoming the backbone of both offense and defense in the digital battlefield. From hyper-realistic deepfakes to machine learning-powered threat detection, AI is fundamentally changing how we manage cyber exposure.

How to Achieve PCI DSS 4.0 with Feroot AI JS Monitoring

The web has evolved—and so have its risks. Today’s web pages are built with dozens of party scripts for ads, analytics, and dynamic features. While these improve user experience, they also open the door to cyber threats, especially when handling credit card data. As attackers increasingly target browsers rather than servers, the challenge of client-side security has grown into a critical concern for security and compliance teams.

The Future of Inbound Call Center Services: AI, Automation, and Beyond

Inbound call centers have always been a vital part of customer service, but with rapid advancements in AI and automation, their future is changing. Today, businesses are utilizing these technologies to improve efficiency, cut costs, and deliver better experiences for customers.

Wallarm Research Releases Nuclei Template to Counter Threats Targeting LLM Apps

Wallarm Research has just released a powerful new Nuclei template targeting a new kind of exposure: the Model Context Protocol (MCP). This isn’t about legacy devtools or generic JSON-RPC pinging. It’s about the protocol fueling next-gen LLM applications — and it’s already showing up exposed in the wild.

Cato CTRL Threat Research: OpenAI's ChatGPT Image Generator Enables Creation of Fake Passports

On March 25, OpenAI introduced image generation for ChatGPT-4o and ChatGPT-4o mini. On March 31, it was announced that the tool was available for free to all users. Since then, users have quickly discovered that ChatGPT’s image generator can be manipulated to create fake receipts and forge other documents.

AI-driven CSPM: How GenAI will transform Cloud security posture management

Generative AI (GenAI) is poised to revolutionize the cloud security posture management (CSPM) space, bringing intelligence, automation, and context to increase the effectiveness of managing cloud risk. Maintaining a robust security posture in the cloud can be challenging as the number of deployed cloud services increases across diverse clouds. Soon, AI-driven CSPM will play a critical role in helping security and cloud teams to keep pace with misconfigurations and compliance gaps.

CrowdStrike Research: Securing AI-Generated Code with Multiple Self-Learning AI Agents

Applying robust security measures to automated software development is no longer a luxury but a necessity. CrowdStrike data scientists have developed an AI-driven, multi-agent proof of concept that leverages Red Teaming capabilities to identify vulnerabilities in code developed by AI agents. While it is still in the research stage, our work shows this advanced AI technology has the potential to revolutionize software security.

The Fast Eat the Slow: AI Adoption for Survival in Modern Cybersecurity

John Quinsey (also known as “JQ”) is a regional director at Torq with 25 years in software and SaaS sales, solving business problems with disruptive technologies. He firmly believes AI has the power to revolutionize modern security operations. Just five years ago, the average dwell time for a ransomware attack was seven months. Today, it’s five days and shrinking.

Claude AI BLEW MY MIND! (Board Game Challenge)

In this video, I challenge Claude AI to a head-to-head match in the board game King of Tokyo Duel. I walk the AI through the rules, give it everything it needs to understand how to play, and then we battle it out! Claude picks up the game shockingly fast — its strategy, decision-making, and logic were next-level. I was seriously mind-blown at how intelligent it was… Should we put this to the test with other AI's like ChatGPT?

Netwrix Launches the First MCP Server to Bring LLMs into Data Security!

Netwrix announces first MCP server to harness the power of Netwrix + LLMs for data security. Today, we're open-sourcing our first MCP server – and it’s powering up Netwrix Access Analyzer with conversational AI to help customers assess and remove sensitive data exposures. Netwrix is first to market in the data security security industry with an MCP server, enabling you to bring your favorite Generative AI tool to the critical task of securing your data.

How AI is revolutionizing third-party risk assessments

Enterprises rely heavily on third-party vendors for a vast spectrum of critical services. From IT support and supply chain management to specialized consulting and cybersecurity, the reliance on external partners has increased significantly. With this reliance comes the inherent risk that these vendors may pose to enterprise operations, reputation, and regulatory compliance.

All About Cloudflare's Developer Week 2025 (AI, Vibe Coding, Agents, and More)

This episode is all about our second innovation week of the year: Developer Week. Host João Tomé is joined in person at Cloudflare’s London office by Ricky Robinett, VP of Developer Relations, and Craig Dennis, Developer Educator. There’s a lot to go through — new tools and announcements launched during this April week. The vibe in the developer world, with AI, agents, and code-first energy, is contagious. More people, even non-developers, are now empowered to build their own tools and applications.

Analyzing llama.cpp Servers for Prompt Leaks

The proliferation of AI has rapidly introduced many new software technologies, each with its own potential misconfigurations that can compromise information security. Thus the mission of UpGuard Research: discover the vectors particular to a new technology and measure its cyber risk. This investigation looks at llama.cpp, an open-source framework for using large language models (LLMs).

This AI Just Saved 40 Hours a Week

Detection triage is a time-consuming, high-stakes process that agentic AI is poised to disrupt. Charlotte AI is trained on expert decisions from the Falcon Complete Next-Gen MDR team to deliver more than 98% accuracy, saving the average individual customer over 40 hours per week! Speed up detection and response Get recommended next steps instantly Focus analysts on the alerts that matter most.

Securing the Energy Sector: The Backbone of the UK's AI Ambitions

The UK’s ambition to become a global leader in artificial intelligence (AI) marks a transformative era. However, the foundation of this progress—the energy sector—has emerged as a prime target for cybercriminals. While AI-driven technologies offer greater efficiency and resilience, they also heighten the sector’s vulnerability to cyberattacks. To sustain the nation’s AI advancements, ensuring the security of the energy infrastructure must be a critical priority.

Strategies to Mitigate Risks in AI-Driven Medical Note Systems

AI isn't just changing how healthcare works-it's redefining how care is delivered. With medical note systems powered by AI, clinicians are finally getting a break from endless documentation. But with that freedom comes a new set of challenges: accuracy, data safety, and the delicate balance between tech and human judgment. If you're adopting or managing these tools, it's not just about innovation-it's about protecting what matters most. Read on to discover the key strategies every healthcare leader must know to implement AI documentation systems responsibly and effectively.

AI in Cybersecurity: Smarter Threat Detection & Ethics | Foresiet

With an information era in which information equals money and threats change daily, Artificial Intelligence (AI) has become a frontline watchman of the world against cyberattacks. From credential stuffing discovery to darknet monitoring capabilities, AI is empowering security teams with the capability to predict, identify, and defeat threats quicker than ever before. But while AI tools redefine defense systems, they also introduce new challenges of transparency, compliance, and ethical governance.

Deepfake Threats in GenAI Era: Cyber Resilience at Work

GenAI is transforming industries with record levels of innovation. But the new cyber threats it introduces also introduce a whole new level of worry. Deepfakes are perhaps the most unsettling trend here: hyper-realistic audio and video fakes that can deceive even the most trained eyes and ears. As deepfake tech becomes more accessible and advanced, it's time for organizations to prepare their workforce to combat these new threats.

Securing Identities for the Agentic AI Landscape

Twenty-five years ago, we set out to tackle one of the most challenging problems in identity security: Securing privileged access. Today, CyberArk takes another giant step forward, extending our leading identity security to the rapidly evolving challenge of securing AI agents. And this is no small undertaking. Due to their autonomous mandate, AI agents are growing to be among the most privileged machine identities that enterprises have ever seen.

AI and AppSec: A Partnership to Prevent Breaches

As software development accelerates, cyberattacks are also growing more sophisticated. The result? Traditional security methods are often rendered ineffective. With reactive strategies and stretched resources, application security (AppSec) teams are under increasing pressure to secure apps without sacrificing speed and innovation. Artificial intelligence (AI) has quickly become the frontrunner solution, automating labor-intensive tasks, improving accuracy, and enabling proactive security measures.

Ongoing TPRM Success: Continuous Security Monitoring with AI

All security professionals know third-party risk management doesn’t stop after one risk assessment. What about the next vendor? Or the future risks the vendors you’ve already evaluated will inevitably endure? While completing even a single risk assessment can feel like an arduous journey when done manually, all successful TPRM programs continue long after assessment.

Key Technologies Driving Industry 4.0 Adoption

Welcome to the future-where factories think, robots collaborate, and supply chains practically run themselves. Industry 4.0 isn't just a buzzword; it's the dawn of a new era in manufacturing and beyond. From AI-powered automation to hyperconnected industrial ecosystems, businesses embrace cutting-edge technologies to stay ahead of the curve. At the forefront of this revolution are artificial intelligence solutions for factories, which are transforming traditional operations into intelligent, self-optimizing systems. But what's driving this revolution?

How CEOs Can Embrace GenAI for Business Growth

It’s well-trodden ground by now, but generative AI is really one of the business world’s most important technologies. Like it or not, it will soon become integral to everyday business operations. Those who learn how to use it effectively will flourish, and those who don’t will fall by the wayside. As highlighted by IBM’s The CEO’s Guide to Generative AI highlights, CEOs face serious pressure to integrate the technology into their organization.

Avoiding Too Many Cooks in the Kitchen: Agentic AI Use Cases

AI agents work together to complete tasks. For instance, imagine a kitchen. In a home kitchen, we do everything ourselves, come up with the menu, get the ingredients, peel, chop, sauté, and plate — but in restaurants, everyone has different jobs. Agentic AI brings that restaurant-level skill to organize and optimize to you in your kitchen. In the case of cybersecurity, agents can provide the necessary backup for what you can’t get to in a day in the SOC.

AI-powered attacks are getting more sophisticated.

AI-powered attacks are getting more sophisticated. However, AI-powered defense is evolving even faster. At Cloudflare, AI is already detecting and stopping threats faster than human researchers ever could. How? Machine learning models analyze millions of attack patterns in real-time, identifying anomalies and blocking threats before they spread. AI detects novel attack patterns before they even make headlines AI reduces false positives, helping security teams focus on real risks AI learns from past incidents, adapting faster than traditional security tools.

Can You Really Pair Program with AI? (Aider & Cohere)

A new wave of AI development tools is changing how we write code, but can AI truly replace a human coding partner? In this video, we explore the capabilities of Aider and Cohere, two tools built to support real-time, conversational pair programming. We’ll break down how they work, where they shine, and the surprising limitations that came up during testing. Whether you're an experienced developer or simply curious about the future of coding, this deep dive will give you a clear picture of where AI-assisted programming stands today.

AI in IAM: Automate the monotonous tasks, not the vital ones

Lately, the common theme in emerging identity security technology is AI. It’s all anyone wants to talk about. All of us in the IAM business have been scurrying to find a way to tell our customers and the market that, yes! We have AI! We've had it all along! If that were so obviously true, why isn’t it more broadly known? As an identity security technologist, I’ve experienced the growing pains of AI in IAM. I recently read an interesting essay by a science fiction author.

Unmasking EncryptHub: Help from ChatGPT & OPSEC blunders

This is the second part of Outpost24’s KrakenLabs investigation into EncryptHub, an up-and-coming cybercriminal who has been gaining popularity in recent months and is heavily expanding and evolving operations at the time of writing. We’ve already published one article explaining EncryptHub’s campaigns and TPPs, infrastructure, infection methods, and targets.

Put AI to work where workflows work best

In this guest post, Jason English, Director and Principal Analyst at Intellyx explores how GenAI is moving beyond chat to orchestrate real action for SOC teams. As my colleague Eric Newcomer mentioned in the previous chapter of this series, GenAI changes the security automation game, with multi-system discovery, documentation, and task execution capabilities that can reduce cognitive load and toil for security analysts.

Agentic AI Security Isn't Just A Technical Problem - It's a Strategic One

If you’ve started exploring how to secure AI agents in your environment (or even just reading about it), you likely already know that it’s not as straightforward as applying traditional AppSec practices. AI agents aren’t just another workload or API to monitor, they’re dynamic, semi-autonomous entities operating at the intersection of user intent, agent behavior, and enterprise systems. And not all AI agents are created equal or secure.

How Drones Are Revolutionizing Construction Site Management

Discover the method to save time and money while protecting workers on construction sites? Recent years have seen drones bring about complete transformation to construction site management practices. Construction drones perform tasks which include land surveying, project monitoring and ensuring worker safety. Construction companies have traditionally resisted adopting modern technological advancements. But drones? The construction sector has accepted drones with the enthusiasm of someone savoring a refreshing cold beverage when it's sweltering outside.

AI's Content Gold Rush: Who's Getting Paid, Who's Getting Scraped, and How Businesses Can Turn Content into Revenue

The AI boom is creating a new content economy – one where savvy content owners are striking multi-million-dollar licensing deals, while others are being automatically scraped by bots to train AI models for free. It’s impossible not to have noticed the biggest names in AI, including OpenAI, Google, Anthropic, Perplexity and more, at the center of an argument about ethical content scraping.

The League Assembled: Highlights from the AI Agent Security Summit 2025

The AI Agent Security Summit 2025 brought together a vibrant community of security leaders, consultants, professionals, thought leaders, and vendors to discuss the unique security risks, obstacles, and solutions facing today's enterprises. The Summit was marked by an amazing turnout and engagement from the audience, presentations that centered around attack pathways, practitioner insights, and actionable solutions, and enlightening conversations that left attendees inspired and informed.

Securing AI Against Evolving Threats

Arctic Wolf is an AI-powered security operations provider, which gives our organization advanced insights into the emerging threats inherent in being an early adopter of the more recent techniques. However, Arctic Wolf is not the only one turning to AI. A third of technology leaders reported that AI was already fully integrated into their products and services. This statistic will grow as major tech companies like Microsoft and Google invest billions of dollars into AI infrastructure..

Exabeam Launches the First Fully Integrated, Multi-Agent AI for Security Operations

Imagine a world-class chess grandmaster playing multiple opponents at once—anticipating moves, spotting patterns, and staying steps ahead of every competitor. Now, imagine if that grandmaster had an AI-powered assistant, constantly analyzing past games, predicting threats, and offering guidance in real time. That is what Exabeam is bringing to security operations.

AI in Action: Transforming Cyber Defense Strategies with Agentic MDR

While various AI and machine learning automated workflows offer a great deal of insights into complex prediction and computation problems, recent advances in generative AI provide excellent summarization and content generation capabilities for a broad range of use cases. This means that search results are more comprehensive and accurate, often tailored to end-user needs. However, one remaining opportunity is to get the end-to-end job done with accuracy, speed and more importantly, agility.