Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

LEKT AI: Your Ultimate AI Chatbot Assistant

Ever wished you had a one-stop hub for all the coolest AI models out there? Well, guess what? LEKT AI just made that wish come true! It's like having a genius friend who's always got your back, whether you're tackling a school project, brainstorming marketing ideas, or just exploring the wild world of AI.

Safeguarding Generative AI: How AI Guardrails Mitigate Key Risks

The growing reliance on generative AI is transforming industries across the globe. From automating tasks to improving decision-making, the potential of these systems is vast. However, with this progress comes significant risks. Generative AI can be unpredictable, creating new vulnerabilities that expose organizations to data privacy breaches, compliance failures, and other security issues. So, how can companies harness the power of AI while ensuring they remain protected?

8 Best AI Code Generators

AI code generators are revolutionizing the way developers write and maintain code. These advanced tools leverage machine learning (ML) and natural language processing (NLP) to significantly boost productivity, improve code quality, and enhance security. However, they can sometimes introduce subtle vulnerabilities if not carefully monitored. With generative AI, software developers can complete coding tasks up to x2 faster.

Boost Your Business Efficiency with AI-Powered Chatbots

In today's competitive business landscape, efficiency is paramount. Companies are continually seeking innovative ways to streamline operations, reduce costs, and enhance customer satisfaction. One powerful tool that has emerged in this quest for efficiency is the AI-powered chatbot. Platforms like rai-bot.com are leading the charge, providing businesses with intelligent chatbot solutions that revolutionize the way they interact with customers and manage internal processes.

Gen AI Guardrails: Paving the Way to Responsible AI

As artificial intelligence (AI) grows, AI guardrails ensure safety, accuracy, and ethical use. These guardrails are a set of protocols and best practices designed to mitigate risks associated with AI, such as bias, misinformation, and security threats. They are vital in shaping how AI systems, particularly generative AI, are developed and deployed.

Can Generative AI Help Identify Malware and Phishing?

How Generative AI Can Help Identify Malware? Spambrella explains how AI models add value: Generative AI models can identify malware by learning the patterns and structures typical of malicious code versus benign software. Code Generation and Analysis – By generating variations of known malware, these models can simulate potential new forms of malware, helping cybersecurity teams anticipate and defend against unseen threats.

Balancing AI Innovation and Data Governance: Tines and AWS Share Strategies for Secure AI Adoption

Are you struggling to balance the productivity gains delivered by Generative AI with security, data privacy and compliance concerns? In this webinar, Tines and AWS share how you can develop effective strategies to mitigate these risks while providing models with enough contextual information to allow them to solve problems accurately and effectively. You’ll hear from industry leaders who created a secure-by-design approach to building AI features and will learn.

Vanta Introduces EU AI Act Support for the Ethical Development and Use of AI in Europe

Providing European companies with support for local regulations and security best practices including the Digital Operational Resilience Act (DORA) and NIS 2. Accelerating European momentum with product enhancements and London office.

Augment SOC Analysts with AI: 3 Key Use Cases

Despite the rapid evolution of security technologies, many SOCs are still weighed down by manual processes and outdated tools. Analysts are burdened with repetitive tasks, inefficient workflows, and disjointed incident response mechanisms. This broken system is leaving SOCs reacting to incidents instead of preventing them. There’s a better way forward.

How Generative AI is Transforming Application Security

Application security has transformed from being an afterthought to a central focus as threats have evolved. What was once about securing code has expanded to protecting the entire application lifecycle. The rise of cloud-native architectures, microservices, and APIs has broadened the attack surface, requiring security teams to rethink their approaches.

Find, auto-fix, and prioritize intelligently, with Snyk's AI-powered code security tools

During the long-awaited Snyk Launch 2024, we announced the exciting general availability of Snyk Code's auto-fixing feature, DeepCode AI Fix, powered by our AI machine, DeepCode AI! To celebrate this milestone, let’s explore how Snyk’s AI-powered features differentiate our approach to application security. AI is on everyone's minds, along with its countless applications that offer a wide variety of solutions (and issues).

How Parking Technology Enhances Cybersecurity

Parking lots are a staple of our daily routines - whether we're shopping, working, or visiting. This is where we spend considerable amounts of time surrounded by cars and people. Given the high foot traffic and density of vehicles, enhancing the safety and security of these spaces is crucial for businesses looking to create a secure and enjoyable experience for their customers. Here, technology plays a pivotal role in supporting this endeavor, offering solutions that enhance safety, privacy, and cybersecurity.

LLM Prompt Injection 101

Prompt injection attacks exploit vulnerabilities in natural language processing (NLP) models by manipulating the input to influence the model’s behavior. Common prompt injection attack patterns include: 1. Direct Command Injection: Crafting inputs that directly give the model a command, attempting to hijack the intended instruction. 2. Instruction Reversal: Adding instructions that tell the model to ignore or reverse previous commands. 3.

AI Grant Writing: Revolutionize Your Funding Strategy with AI

Are you facing a problem to get grants for your organization? The evolving maze of grant writing is increasingly getting all uphill with the pressure, rigid requirements, and humongous competition in the mad scramble to get grants. But think of it this way: if the process were streamlined enough to provide more chances for winning and at least a little bit of competitive advantage, then AI-powered grant writing is the game-changing tool assisting you in re-inventing your approach to winning funding.

Governing the Future: Federal Cybersecurity in the Age of Edge and AI

Intel's CTO on Navigating Cybersecurity, AI, and the Edge Governing the Future: Federal Cybersecurity in the Age of Edge and AI In this episode of the "Trusted Tech for Critical Missions" podcast, host Ben Arent interviews Steve Orrin, Chief Technology Officer at Intel Federal, about the evolving landscape of federal cybersecurity in the age of edge computing and artificial intelligence. Key Takeaways.

CrowdStrike + Fortinet: Unifying AI-Native Endpoint and Next-Gen Firewall Protection

In today’s fast-evolving cybersecurity landscape, organizations face an increasing barrage of sophisticated threats targeting endpoints, networks and every layer in between. CrowdStrike and Fortinet have formed a powerful partnership to deliver industry-leading protection from endpoint to firewall.

LLM Guardrails: Secure and Accurate AI Deployment

Deploying large language models (LLMs) securely and accurately is crucial in today’s AI deployment landscape. As generative AI technologies evolve, ensuring their safe use is more important than ever. LLM guardrails are essential mechanisms designed to maintain the safety, accuracy, and ethical integrity of these models. They prevent issues like misinformation, bias, and unintended outputs.

How to Safely Integrate LLMs Into Enterprise Applications and Achieve ISO 42001 Compliance

Enterprise applications, whether on-premise or in the cloud, access LLMs via APIs hosted in public clouds. These applications might be used for content generation, summarization, data analysis, or a plethora of other tasks. Riscosity’s data flow posture management platform protects sensitive data that would otherwise be accessible to LLM integrations.

Emerging AI Use Cases in Healthcare: A Comprehensive Overview

The integration of AI, especially Gen AI, into healthcare has been transforming the industry, enabling providers to enhance patient care, streamline operations, and reduce costs. Below is an overview of the most promising AI use cases in healthcare that are reshaping the industry.

How to Detect Threats to AI Systems with MITRE ATLAS Framework

Cyber threats against AI systems are on the rise, and today’s AI developers need a robust approach to securing AI applications that address the unique vulnerabilities and attack patterns associated with AI systems and ML models deployed in production environments. In this blog, we’re taking a closer look at two specific tools that AI developers can use to help detect cyber threats against AI systems.

Addressing Cyber Risk and the Rise of AI

In this episode of CISO Conversations: EU Data Regulations, Pierre-François Guglielmi, EMEA Field CISO at Rubrik, is joined by Trish McGill, an Executive Subject Matter Expert for Cyber Security IT/OT at De Heus Voeders and Nobian, Brian Wagner, Chief Technology Officer at Revenir, and Tim Clements, Owner of Purpose and Means. Together, they explore the impact of cyber-attacks and data regulations on business resilience, particularly concerning critical infrastructure, and how these factors ultimately affect profits.

AI-Enhanced Cyber Attacks Top the List of Potential Threats Facing Data Security

AI is quickly becoming the basis for more cyber attacks, leading organizations to realize the risk it presents. A new report now shows that AI-enhanced cyber attacks are now the top concern of security leaders. I recently wrote about how prolific ransomware attacks are and what the outcomes were for those experiencing attacks. In the same report - GetApp’s 2024 Data Security report – I also found some interesting data around where AI sits in the list of concerns for cybersecurity leaders.

Using AI Detectors to Identify and Mitigate Harmful Online Content

In today's digital age, online content is generated and shared at an unprecedented rate, leading to a landscape filled with diverse and rich information. However, this constant influx of data has also brought about a surge in harmful content, including hate speech, fake news, cyberbullying, and violent material. These forms of content not only jeopardize user safety but also threaten societal well-being. Addressing this issue requires innovative solutions, and artificial intelligence (AI) detectors have emerged as powerful tools in identifying and mitigating harmful online content.

How to Execute a Secure M365 Copilot Deployment

Microsoft Copilot is a powerful AI assistant that can leverage Microsoft 365 (M365) data from across an organization to generate accurate and relevant insights. But some of that data should be under special lock: you do not want sensitive enterprise information to be used as part of a large language model (LLM). And the reality is that common misconfigurations—such as mislabeled files and overly broad user permissions—can lead to sensitive data exposure to unauthorized users.

What is India's Digital Personal Data Protection (DPDP) Act? Everything You Need to Know!

Data protection has become a critical concern worldwide as digital transactions and data exchanges grow. Countries are establishing strict data protection laws to safeguard personal information, and India is no exception. The Digital Personal Data Protection (DPDP) Act is India’s response to growing privacy concerns and the need for robust regulations around personal data usage.

Massive AI Call Center Data Breach: 10 million Conversations Leaked, Heightening Fraud Risks

In a significant breach, over 10 million customer conversations from an AI-powered call center platform in the Middle East have been exposed. This incident has raised alarm bells regarding the security vulnerabilities of AI platforms widely used in sectors such as fintech and e-commerce. As AI platforms become integral to business operations, the risks of compromised data tracking and brand impersonation have also escalated.

Building Trust in AI: Structured, Evidence-Backed Summaries for Seamless SOC Shift Transfers

Gal Peretz is Head of AI & Data at Torq. Gal accelerates Torq’s AI & Data initiatives, applying his vast expertise in deep learning and natural language processing to advance AI-powered security automation. He also co-hosts the LangTalks podcast, where he discusses the latest in AI and LLM technologies. Staying ahead of evolving cyber threats means more than just keeping up — it means outsmarting the adversary with intelligent, proactive solutions that supercharge your team.

Foundations of trust: Securing the future of AI-generated code

Generative artificial intelligence (GenAI) has already become the defining technology of the 2020s, with users embracing it to do everything from designing travel itineraries to creating music. Today’s software developers are leveraging GenAI en masse to write code, reducing their workload and helping reclaim their valuable time. However, it’s important developers account for potential security risks that can be introduced through GenAI coding tools.

Introducing The Riscosity AI Governance Suite

Clients can empower their employees to securely leverage any browser-based AI tool. The Riscosity browser extension will scan and block prompts with sensitive information in real time. Admins can use the intuitive Riscosity dashboard to set RBAC rules and keep a pulse on any AI tools being used – including any attempts to share sensitive information. The bottom line… we’re providing an AI firewall for your company, without the headaches of difficult deployment.

Cybersecurity Awareness Month: AI Safety for Friends and Family

Happy October! The leaves are changing and everyone is starting to get ready for the upcoming holidays, but let’s not forget one of the most important holidays of the year—Cybersecurity Awareness Month! Though our audience is almost entirely cybersecurity experts, we wanted to put something together to help the less technical people in our lives learn more about AI and cybersecurity, because Cybersecurity Month is for everyone.

Essential Guide to PII Data Discovery: Tools, Importance, and Best Practices

Personally Identifiable Information (PII) is data that can uniquely identify an individual, such as an employee, a patient, or a customer. “Sensitive PII” refers to information that, if compromised, could pose a greater risk to the individual’s privacy and misuse of information for someone else’s gains.

5 Things to Look Out for with AI Code Review

Imagine slashing the time spent on code reviews while catching more bugs and vulnerabilities than ever before. That’s the promise of AI-driven code review tools. With 42% of large and enterprise organizations already integrating AI into their IT operations , the future of software development is here. These tools can swiftly detect syntax errors, enforce coding standards, and identify security threats, making them invaluable to development teams. However, as powerful as AI is, it has its pitfalls.

EP 63 - Jailbreaking AI: The Risks and Realities of Machine Identities

In this episode of Trust Issues, host David Puner welcomes back Lavi Lazarovitz, Vice President of Cyber Research at CyberArk Labs, for a discussion covering the latest developments in generative AI and the emerging cyberthreats associated with it. Lavi shares insights on how machine identities are becoming prime targets for threat actors and discusses the innovative research being conducted by CyberArk Labs to understand and mitigate these risks.

The Rise of AI and Deep Fakes: A Growing Threat to National Security | Razorthorn Security

Lisa Ventura highlights the increasing cybersecurity threats, including attacks on nation states and the rise of deep fakes. She also critiques how AI is often used as a marketing buzzword rather than real technological advancement.​

Why Presidio and Other Data Masking Tools Fall Short for AI Use Cases Part 1

Data privacy and security are critical concerns for businesses using Large Language Models (LLMs), especially when dealing with sensitive information like Personally Identifiable Information (PII) and Protected Health Information (PHI). Companies typically rely on data masking tools such as Microsoft’s Presidio to safeguard this data. However, these tools often struggle in scenarios involving LLMs/AI Agents.

Streamline SASE Operations with Skope AI-powered Cloud Orchestrator

This is the third blog in our series, where we embark on a journey of Branch Transformation with the Next Gen SASE Branch solution. Built on the Netskope One SASE platform, the Next Gen SASE Branch solution combines its three layers–Context-aware SASE Fabric, Zero Trust Hybrid Security, and a SkopeAI-powered Cloud Orchestrator–into a unified cloud offering.

How Businesses Using ChatGPT 4.1 Can Safely Bypass DPDP's Data Residency Bill

Until 2023, India’s data privacy landscape was largely unregulated – businesses didn’t have to worry about how they process and store data. Sensitive customer data like Personally Identifiable Information (PII) could travel around the world in 80 days and land back to its source – without violating a single regulation. While the unregulated digital space was a boon for data dependent businesses, it was a bane for customer privacy.

Sensitive Data Discovery Tools: Best Practices for GDPR, PII, and PCI Compliance

For most companies today, the question isn’t whether a data breach will occur, but rather when it will occur. This predicament is primarily due to the sheer volume of data, the challenges associated with monitoring sensitive data, and the transition to remote work. Consequently, IT security teams are constantly navigating a dynamic and enduring risk landscape, making it exceptionally challenging to maintain data security and implement effective sensitive data protection strategies.

Enhancing Financial Solutions with Smart Payment Systems

Have you ever wondered how financial institutions are keeping up with the demands of today's digital world? Financial institutions are leading the charge by adopting innovative technologies. Among these advancements, smart payment systems are revolutionizing the financial landscape, making transactions faster, safer, and more convenient than ever before. These systems enhance user experience while streamlining operations, helping financial institutions reduce costs and improve efficiency.

Enterprise Data Protection: Solutions, Strategies, and Best Practices

Enterprise data is a tremendous asset, but did you know it could also cause great data privacy-related financial risks? The need for sturdy enterprise data protection cannot be emphasized enough. With local data privacy laws such as GDPR being strictly enforced by countries worldwide, companies are seeing heftier fines for data breaches. Companies now need to be extremely cautious about how they manage privacy risks by carefully controlling access to personal and sensitive data.

PII Data Classification: Key Best Practices

PII (Personally Identifiable Information) refers to data that can directly or indirectly identify an individual, such as names, addresses, or phone numbers. Protecting PII data is critical, as exposure can result in identity theft, financial fraud, or privacy breaches. With businesses collecting vast amounts of PII, proper PII data classification has become essential to safeguarding sensitive information and complying with data protection regulations.

Not All Synthetic Data is the Same: A Framework for Generating Realistic Data

A common misconception about synthetic data is that it’s all created equally. In reality, generating synthetic data for complex, nuanced use cases — like healthcare prescription data — can be exponentially more challenging than building a dataset for weather simulations. The goal of synthetic data isn’t just to simulate but to closely approximate real-world scenarios.

Safeguarding Sensitive Information in the Age of Generative AI

Since its debut in 2022, ChatGPT has radically reshaped the way we interact with technology. Generative AI (genAI) platforms like ChatGPT, Google Gemini, and Meta AI have rapidly gained in popularity, offering capabilities that range from rewriting text to generating creative content. While these tools have created new opportunities for enhanced productivity, they’ve also introduced new security risks — particularly when users unknowingly share sensitive information.

Transforming the Future of Healthcare Privacy & Research with Patient Data Tokenization

Healthcare frontline workers and medical service providers access, process, and transmit sensitive medical data also known as PHI (protected health information), to conduct their daily activities. Facilitating seamless flow of PHI is critical to ensure patients get high quality services. Despite being tightly regulated, the healthcare industry has consistently topped the list of most targeted for breaches.

LLM Security: Leveraging OWASP's Top 10 for LLM Applications

Large Language Models (LLMs) transform how organizations process and analyze vast amounts of data. However, with their increasing capabilities comes heightened concern about LLM security. The OWASP Top 10 for LLMs offers a guideline to address these risks. Originally designed to identify common vulnerabilities in web applications, OWASP has now extended its focus to AI-driven technologies. This is essential as LLMs are prone to unique LLM vulnerabilities that traditional security measures may overlook.
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Is the Speed of AI Development Leaving UK SMEs Struggling to Plug Security Gaps?

Artificial Intelligence (AI) is perhaps one of the fastest evolving technologies in business today. For SMEs, it can be hard to keep up with these developments and sift through what's simply noise, and what will deliver tangible business benefits. As the UK data from our recent SME IT Trends report shows, embracing AI can help UK SMEs streamline operations, improve the admin and user experience, and stand out in a crowded marketplace. Without a doubt, choosing to ignore AI would be choosing to fall behind.

Asia's Evolving AI Regulatory Landscape: Lessons from Cybersecurity Regulation

Artificial intelligence (AI) is transforming industries across Asia, driving innovation, economic growth, and societal advancements. However, AI’s profound impact also brings significant governance challenges. As with any transformative technology, robust regulatory frameworks are essential to mitigate risks, ensure ethical use, and protect public interests. Reflecting on the evolution of cybersecurity regulation may provide insight into how AI regulation might develop.

VP of Product Marketing Vivek Bhandari on ticker News: Modernize patching with AI and automation

Automation is crucial in reducing cybersecurity vulnerabilities, says Vivek Bhandari, VP of Product Marketing at Tanium. Poor patching methods create a backlog of security issues, or “vulnerability debt,” which can leave organizations exposed. Bhandari urges companies to modernize their processes and use AI and automation to quickly identify and fix vulnerabilities. This proactive approach can significantly reduce risk and keep systems secure.

An Introduction to Threat Monitoring

According to CIS, just in the first half of 2024, malware-based threats rose by 30% from 2023. A similar 30% year-over-year increase was also found in cyber attacks in 2024 in a report by Check Point Research. With such alarming statistics, it is evident that the need for threat monitoring has become more critical than ever before. In this blog post, we'll explore what threat monitoring entails, why it's essential, and how you can implement best practices to safeguard your business.

Complying with the EU's New AI Act: A Guide to Staying Ahead

Artificial intelligence (AI) is increasingly embedded in modern organisations—from standalone generative AI apps to AI copilots in popular SaaS platforms, and the integration of self-hosted or public large language models (LLMs) in private applications tailored to specific business needs. The recently introduced EU AI Act sets out to regulate AI development and usage, ensuring that AI systems are safe, ethical, and respect fundamental rights.

Responsible AI: Policy Solutions for DevSecOps

Artificial intelligence (AI) is revolutionizing problem-solving and innovation in DevSecOps. Leveraging AI responsibly is essential for building secure, trustworthy systems. Governments are crafting policies to ensure AI's benefits while mitigating risks. Join JFrog's VP of Product Marketing, Jens Eckels, and BSA CEO, Victoria A. Espinel, as they explore how BSA’s Policy Solutions for Building Responsible AI provides a framework to achieve these goals, focusing on governance, innovation, and transparency.

Protecto Snowflake Integration Demo: Safeguard Sensitive Data!

Welcome to the Protecto Snowflake Integration Demo, where we show you how to safeguard sensitive data using Protecto’s advanced AI-powered masking tools! In today’s world, businesses using Snowflake for AI and analytics face significant risks with sensitive information hidden within unstructured data like comments and feedback columns. Protecto provides a unique solution, precisely masking only the sensitive parts of your unstructured data while leaving the rest untouched, ensuring your datasets remain valuable for analysis.

How to Set Up and Run a Workable AI Council to Govern Trustworthy AI

As in many companies around the world, Bitsight leadership believes that adoption and innovation through the use of artificial intelligence (AI) capabilities is crucial to the future of our company. From the top down, our employees are continually on the hunt for ways to leverage AI to improve business outcomes and customer productivity.