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👉 TL;DR: Use a secrets manager and variables—never hardcode secrets. Mark outputs sensitive and store state remotely with encryption and strict access. Traditional data sources can leak to state; use Terraform 1.10 ephemeral resources to fetch/generate secrets at apply time without persisting them. Terraform Secrets

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Discover how AI-driven communication brings empathy and personality to SaaS, helping automation feel more human, personal, and emotionally intelligent.

The post When Your SaaS Feels Human at Scale appeared first on Security Boulevard.

AI-native security data pipelines transform security operations by using machine learning for adaptive filtering, automation, and 90% lower overhead.

The post Rethinking Security Data Management with AI-Native Pipelines  appeared first on Security Boulevard.

Overview Recently, NSFOCUS CERT detected that Redis issued a security bulletin and fixed the Redis Lua code execution vulnerability (CVE-2025-49844); Because Redis’s Lua script engine has a use-after-free reuse vulnerability when handling memory management, an authenticated attacker can write a specially crafted Lua script to manipulate the memory recycling mechanism and execute the Lua script […]

The post Redis Lua Code Execution Vulnerability (CVE-2025-49844) Notice appeared first on NSFOCUS, Inc., a global network and cyber security leader, protects enterprises and carriers from advanced cyber attacks..

The post Redis Lua Code Execution Vulnerability (CVE-2025-49844) Notice appeared first on Security Boulevard.

Recognized for excellence in identity risk intelligence, Constella joins elite cohort of cybersecurity disruptors. Constella Intelligence, a global leader in identity risk intelligence, is proud to announce that it has been selected as one of the 2025 SINET16 Innovator Award winners by SINET. The SINET16 awards highlight 16 emerging companies with under $15 million in …

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Bots Are Evolving: Here’s How to Stop AI-Powered Automation Before It Stops You
madhav
Thu, 10/09/2025 - 04:34

More than half of all internet traffic is now automated. Bots don’t just scrape data or hoard inventory anymore. They mimic humans so convincingly that even seasoned security teams struggle to spot them. With the help of AI, these bots type, click, and even pause like real users.

Application Encryption Cloud Security Cyber War Data Breach Insider Threat Security Intelligence

Tim Chang | Vice President, Application Security Products
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More than half of all internet traffic is now automated. Bots don’t just scrape data or hoard inventory anymore. They mimic humans so convincingly that even seasoned security teams struggle to spot them. With the help of AI, these bots type, click, and even pause like real users.

That’s why, during Cybersecurity Awareness Month 2025, one of the Core 4 actions—recognize and report scams—is more important than ever. Because if we can’t see the threat, we can’t stop it.

How AI Makes Bots Smarter

Bots are not new. What’s new is how AI has transformed them.

• Mimicking human behavior: AI-driven bots type, scroll, and navigate with realistic micro-pauses, blending seamlessly into normal traffic.
• Lowering the barrier to entry: Tools powered by generative AI make bot creation simple—even attackers with limited skills can now launch credential stuffing campaigns, scrape entire websites, or run large-scale scams.
• Scaling both brute force and stealth: AI fuels a surge in high-volume, simple attacks, while also enabling sophisticated campaigns that mimic humans so closely traditional defenses fail. Imperva’s research shows nearly half of this advanced traffic now targets APIs, bypassing user interfaces altogether.

The result: bots that are faster, smarter, and harder to detect—turning automation into one of the most dangerous tools in the attacker’s arsenal.

Why Recognition Matters

The first challenge is seeing what is there. Bots are designed to hide. Many use residential proxies, routing their activity through genuine home internet connections. This allows them to bypass IP-based security rules. Imperva found that one in five (21%) of bot attacks now use these proxies.

Recognition requires more than counting clicks. It means looking at behavior. How quickly are requests sent? How do patterns shift over time? Does the user navigate like a human or scan pages with machine precision? These questions are key to detection.

When security teams miss these signs, bots slip through the nets. They fill shopping carts to block customers from buying. They flood login pages with stolen credentials. They scrape content and data. They act at scale and in silence until they succeed.

Reporting Turns the Tide

Once a bot is detected, reporting is key. Not only to internal teams, but to industry networks, security vendors, and even affected customers.

The reason is simple. Bot operators do not attack in isolation. They reuse tactics and infrastructure. A proxy used in one attack may be used again tomorrow. An API targeted today may be exploited in another sector next week.

Timely reporting allows defenses to adapt quickly. Shared intelligence can disrupt bot networks before they evolve into something harder to stop.

From Awareness to Action: Stopping AI-Powered Bots

Stopping AI-powered bots requires more than a single tool or tactic. It takes a layered defense that blends advanced technology with human awareness. Bots move fast, and no one team or control can stop them alone.

• Detect with intelligence: The Imperva Application Security platform uses behavioral analysis and machine learning to profile traffic in real time. By analyzing micro-pauses, navigation patterns, and mouse movements, it can separate humans from automation with precision. Paired with global threat intelligence, this ensures both known and unknown bots are caught before they cause damage.
• Block at scale: Bots don’t act in isolation, and neither should defenses. Imperva AppSec protections work across websites, mobile apps, and APIs, challenging or blocking malicious traffic without disrupting legitimate users. This allows businesses to respond at the same speed and scale as the attackers.
• Empower people to act: Technology works best when paired with vigilance. Every member of an organization, from security teams to customer-facing staff, plays a role in recognizing bot-fueled scams. Practical steps include:
  • Monitoring traffic patterns for unusual spikes or repeated failed logins.
  • Hardening authentication with multifactor methods that add friction bots can’t easily replicate.
  • Educating staff to spot suspicious behaviors, like repeated failed purchases or strange login activity.
  • Sharing intelligence quickly, both internally and with industry peers, to disrupt bot networks before they evolve further.

Awareness and technology together create resilience. Bots thrive in the shadows, but when organizations can see clearly, share rapidly, and respond decisively, AI-powered automation loses its edge.

Bots Are Here to Stay

Bots are not going away. They will grow smarter, faster, and more deeply woven into cybercrime. But AI cuts both ways. With the right defenses, it becomes a powerful ally—spotting patterns no human eye could catch and blocking threats in real time.

Recognizing and reporting scams is more than an Awareness Month reminder. It’s a discipline every organization must embed into daily operations. At Thales and Imperva, we champion this shift—helping businesses see through the disguise, share intelligence widely, and stop AI-powered automation before it stops them.

In the battle of signal versus noise, trust is the signal. And with smarter defenses, it can remain stronger than the bots.

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October 09, 2025

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Traditional role-based access control assumes predictable behavior, but AI agents exhibit emergent behaviors no human anticipated. Dynamic authorization using ABAC and JWT tokens enables real-time policy decisions that adapt to AI behavior, environmental context, and risk levels automatically.

The post Zero Trust for AI Agents: Implementing Dynamic Authorization in an Autonomous World appeared first on Security Boulevard.

Budget cuts, more devices than ever, and cyber threats that just won’t quit. That was the theme of our recent webinar, K-12 Cybersecurity on a Budget: Doing More With Less in the Age of Cuts, featuring three IT leaders who live this every day: Tim Miles, Director of Technology at from Steamboat Springs SD (CO), ...

The post Doing More With Less: What K-12 Tech Leaders Are Prioritizing for 2025–2026 appeared first on ManagedMethods Cybersecurity, Safety & Compliance for K-12.

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Are Machine Identities the Hidden Key to Cloud-Native Security? Effective cybersecurity strategies rely not only on safeguarding human credentials but also on ensuring the security of non-human identities (NHIs). These machine identities, often overshadowed by their human counterparts, play a crucial role. But what exactly are NHIs, and why should they be prioritized? Understanding Non-Human […]

The post Exciting Developments in Cloud-Native Security appeared first on Entro.

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The first malicious Model Context Protocol (MCP) server has been discovered and we should all be worried how this is foreshadowing AI cybersecurity risks!

Cybersecurity researchers at Koi Security detected malicious code within an MCP server that connects AI systems with Postmark email services. The code covertly copies every email and exfiltrates it back to the developer. It was created and distributed by a developer not associated with Postmark.

Although not overly serious or sophisticated, as it was only downloaded 1643 times, this is the first of what will become a pressing cybersecurity problem: MCP exploitations!

Artificial Intelligence systems need to access and leverage the capabilities of other digital systems. APIs are traditionally used for users or software to run queries or job, but those aren’t at the interactive level that AI systems require to be super helpful. This is where the Model Context Protocol (MCP) has been created to shine! MCPs enable AI systems to integrate in ways that allow for rich extensibility and cooperation. They are the bridge to make smart AI agents capable of actually executing plans versus just describing what needs to be done.

The problem is that MCP frameworks, like many tools of modern digital functionality, was not designed with robust cybersecurity principles in mind. APIs experienced the same situation years ago and were wildly popular. Cybersecurity professionals were ignored when they recommended caution as it was generally believed by developers to be inherently secure. They were wrong.

Something that is designed purely for function can operate perfectly, but still be the source of cybersecurity problems. The world figured out, with the help of hackers, that poorly designed APIs could be misused to expose data or corrupt systems, all while operating perfectly within their design parameters.

The same story will repeat itself with MCPs. The race to develop and deploy powerful Agentic AI systems will sadly overshadow any concerns for security, privacy, and safety. By the time the weaknesses are detected, usually by malicious hackers, it will be too late. This is the typical cycle of disruptive technology innovation.

Keep an eye on AI development and especially the use of MCPs. They are important, but inherently lack cybersecurity insights to protect from misuse or being hacked. Cybersecurity professionals must convince architects and developers to add in security controls or work with MCP vendors who will do it for them. Otherwise, it will simply be a matter of time before the systems and data that are connected, will be victimized.

The post The First Malicious MCP Server is a Warning Shot for AI Cybersecurity appeared first on Security Boulevard.

Forgot your Android password, PIN, or pattern? Discover how Dr.Fone – Screen Unlock helps you regain access but also where Identity and Access Management (IAM) is headed.

The post Unlocking the Future: What Android Screen Unlocking Reveals About Next-Gen IAM appeared first on Security Boulevard.

Kubernetes has transformed how modern organizations deploy and operate scalable infrastructure, and the hype around automated cloud-native orchestration has made its adoption nearly ubiquitous over the past 10+ years. Yet behind the scenes, most teams embarking on their Kubernetes journey quickly encounter operational complexity, configuration challenges, and costly maintenance that few vendors highlight.

The post Top 5 Hard-Earned Lessons from the Experts on Managing Kubernetes appeared first on Security Boulevard.

Relying on an endpoint-centric approach to exposure management can leave you with blind spots that increase risk. You need to see your environment like an attacker does.

Key takeaways:

1. Long remediation cycles and difficulty prioritizing risk are significant challenges for security teams.
    
2. Exposure management capabilities bolted onto existing security tools result in dashboard fatigue and manual processes that slow response time.
    
3. Unified exposure management gives teams the context and intelligence they need and integrates into existing systems of record to speed remediation times.

How do you scale with the threat landscape? That’s one of the greatest challenges facing security organizations.

An attacker’s entry point can be a critical vulnerability on a public-facing server, a severe misconfiguration in the cloud or an overprivileged permission in an identity system. Threat actors only need to exploit a single misconfiguration or vulnerability to gain a toehold into an environment, where they quickly pivot to living off the land techniques, using legitimate tools to perform lateral movement and privilege escalation. They’re leveraging a broad attack surface that includes AI, cloud environments, web applications, APIs, identity systems, operational technology (OT) and IoT. And overwhelmed security teams are over-rotating on an “assumed breach” mentality.

To understand the scope of the challenge, consider this: From 1999 to 2019, there were 124,000 registered CVEs tracked by MITRE. From 2019 to 2024 that number nearly doubled to 240,000 and it’s currently at 300,000.

Security tool vendors with expertise in a specific area, such as endpoint detection and response (EDR), may offer add-on vulnerability management or exposure management services to their offerings. It may seem easy to add these capabilities onto an existing deployment. But relying on such offerings to manage a complex environment can result in blind spots that increase risk.

In order to scale with the threat landscape, security teams need to be able to see their environment just as an attacker does.

Yet, 42% of respondents to a recent Tenable webinar poll combine multiple tools and a homegrown approach to secure their environments, while another 12% rely primarily on an endpoint security vendor’s tools.

Source: Tenable webinar poll of 57 respondents, Beyond the Endpoint: Exposure Management That’s Proactive, October 1, 2025

Modern attackers rarely focus on just one part of the infrastructure, and an endpoint-centric view creates dangerous blind spots that attackers can exploit. The Tenable webinar Beyond the Endpoint: Exposure Management That’s Proactive outlined the real-world gaps created by an endpoint-centric security approach, including missed exposures, reliance on vendor coverage, detection delays and compliance difficulties.

“You want to take an ‘assumed breach’ mindset? That doesn’t mean you have to have an ‘accept breach’ mindset,” said John Hendley, VP of Cybersecurity for Coalfire, a Tenable MSSP partner, during the webinar. “We don’t need to make it easier for folks to try to get in and do nefarious things.”

Hendley noted that he sees a lot of dashboard fatigue among customers who cobble together multiple tools and then struggle to attain a clear understanding of where they are most at risk.

“There are two constants in security: time and context,” said Raymond Carney, senior director, Tenable Research. “A lot of times we tend to think of security as a purely technical sort of acumen we’re applying. But to be successful we have to elevate it to business terms.” This requires understanding the potential impact a given vulnerability can have on the business, as well as being able to contextualize that for C-level executives who want to know if the business is at risk.

An endpoint-centric approach to security can’t provide the context organizations need to proactively reduce risk. Siloed tools not only increase dashboard fatigue, they make it difficult to integrate remediation workflows into IT systems of record such as Jira and ServiceNow.

More than a third of webinar attendees (38%) cited long remediation cycles as their biggest day-to-day challenge, while 31% have difficulty validating and prioritizing risk.

Source: Tenable webinar poll of 63 respondents, Beyond the Endpoint: Exposure Management That’s Proactive, October 1, 2025 

“What’s great about Tenable is that because it has such rich integrations, it can feed that data into your systems of record, where your data lives, where your teams go and fix things,” said Hendley. “That’s a really powerful force multiplier.”

5 factors that set Tenable exposure management apart

A unified exposure management platform like Tenable One gives security teams the context and intelligence they need to reduce risk across the complex attack surface. Here are five key ways Tenable One stands out:

1. Data sources: Many endpoint vendors pull in data from other sources, which can introduce lag times that can slow remediation efforts. The Research Special Operations team in Tenable Research analyzes over 50 trillion data points, allowing Tenable to provide coverage for over 40% more Windows server vulnerabilities and 16% more CVEs than competitors. An average of four plugin feeds are published daily.
2. Transparency: Tenable plugin pages clearly show what’s covered in the current feed, what’s in the pipeline and the audit and compliance coverage available.
3. Vulnerability intelligence: Tenable Research is constantly looking at observable evidence in the threat landscape, providing customers with the analyses and contextualized exposure intelligence required to manage risks to critical business assets. Their goal? Cut through the noise and deliver critical intelligence about the most dangerous cyber threats emerging right now. Since the beginning of 2024 our advisory content, vulnerability watches and emerging data has preceded the publication of the CISA Known Exploited Vulnerabilities (KEV) catalog by an average of eight and a half days.
4. Prioritization: Being able to boil down the 300,000 published CVEs to the 800 flagged as critical by the Tenable Vulnerability Priority Rating and further to the 17 or 20 a year that are most impactful helps you focus in on the areas that we’re most likely to be subject to breach and the potential impact on the business.
5. Asset management: The Tenable platform is designed to help you identify the systems you didn’t know you had, so you have an attacker’s view of your environment. This is more important than ever with the increase in AI usage and the growth of shadow AI.

Conclusion

Endpoint-centric security is insufficient for the modern attack surface. Relying on EDR vendor tools can leave you with critical blind spots. Modern attackers exploit cloud misconfigurations, web applications, APIs, identity systems and OT/IoT, all of which endpoint tools were not built to see or assess.

Overcoming security challenges requires moving beyond dashboard fatigue and manual processes. Integrating a single exposure management platform into an organization’s existing systems of record (e.g., ServiceNow, Jira) automates ticket creation and routing, transforming data into efficient, trackable remediation workflows.

Effective exposure management makes it possible to home in on what matters most by providing explainable, contextual intelligence based on actual threat actor activity so you can focus on the highest-impact risks. Tenable's RSO team leverages massive data analysis to provide superior vulnerability coverage and crucial advanced warning of days or weeks on emerging threats, compared to relying on slower external sources like the National Vulnerability Database (NVD) or the CISA KEV.

A unified exposure management platform gives you a contextual view of risk that encompasses vulnerabilities, misconfigurations, overprivileged identities and other weaknesses so you can proactively identify and close gaps across the entire attack surface.

Learn more

View the on-demand webinar, Beyond the Endpoint: Exposure Management That’s Proactive

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The Cybersecurity Maturity Model Certification (CMMC) 2.0 marks a clear shift from box-checking to modernization. Compliance is, of course, important. However, this evolution highlights the need to revise our approach to how software is developed, governed, and delivered across federal systems.

The post Modernizing Federal DevSecOps for CMMC and Beyond appeared first on Security Boulevard.

We’re excited to share that Realm Security has raised a $15M Series A, just 12 months after our $5M seed round. We wouldn’t be here without our customers, our team, and our partners. Thank you for believing in what we’re building and for pushing us to make security data smarter, faster, and more useful every day.

The post We Raised $15M to Build the Future of Security Data appeared first on Realm.Security.

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Salesforce is refusing a demand by the hackers behind that widespread data-stealing attacks on its customers, which threatened to release massive amounts of the data unless the SaaS vendor negotiated a ransom payment. In an email, Salesforce reportedly told customers about its refusal to pay and offered them its support.

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Realm.Security, the company pioneering an AI-native Security Data Pipeline Platform (SDPP), today announced a $15 million Series A funding round led by Jump Capital, with participation from Glasswing Ventures and Accomplice.

The post Realm.Security Redefines Security Data Pipelines with AI, Raises $15M to Accelerate Next-Gen SOC Operations appeared first on Realm.Security.

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Tel Aviv, Israel, 8th October 2025, CyberNewsWire

The post Miggo Security Named a Gartner® Cool Vendor in AI Security appeared first on Security Boulevard.

Get details on our discovery of a critical vulnerability in GitHub Copilot Chat.

The post CamoLeak: Critical GitHub Copilot Vulnerability Leaks Private Source Code appeared first on Security Boulevard.

Check Point’s Q2 2025 Ransomware Report reveals the collapse of major RaaS groups like LockBit and RansomHub, giving rise to a new, fragmented wave of ransomware actors.

The post Law Enforcement Pressure is Reshaping the Global Ransomware Threat Landscape appeared first on Security Boulevard.