Security Boulevard

From astroturfing Reddit to evading anti-cheating tools, InterviewHammer exposes a darker side of AI in hiring

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It’s like some sort of digital age version of To Tell the Truth, the ancient TV show where three challengers claim to be the same person and the contestants have to guess which one is the real deal—typically with dismal results.  So it goes with deepfakes, like in the recent spate of cyberattacks related to..

The post Will the Real Executive Please Stand Up? appeared first on Security Boulevard.

July’s Application Detection and Response data revealed two standout events: a concentrated malicious campaign using multiple attack types against one organization, and an unprecedented spike that hit another organization with more than 2 million attacks in a single month. In both cases, ADR blocked every attempt in real time.

The post 2M+ Application Attacks Blocked in Real Time | July ADR Report | Contrast Security appeared first on Security Boulevard.

Think of the Web as a digital territory with its own social contract. In 2014, Tim Berners-Lee called for a “Magna Carta for the Web” to restore the balance of power between individuals and institutions. This mirrors the original charter’s purpose: ensuring that those who occupy a territory have a meaningful stake in its governance.

Web 3.0—the distributed, decentralized Web of tomorrow—is finally poised to change the Internet’s dynamic by returning ownership to data creators. This will change many things about what’s often described as the “CIA triad” of ...

The post AI Agents Need Data Integrity appeared first on Security Boulevard.

This is my third in a three-part series unpacking OpenAI’s June 2025 threat intelligence report and what it signals for enterprise communication security.

The post Pro Tip for Cybercriminals… (Part 3) appeared first on Security Boulevard.

As cloud adoption continues to rise, organizations are increasingly concerned about safeguarding personal data stored and processed by cloud service providers (CSPs). ISO/IEC 27018 is an internationally recognized standard that specifically addresses data protection in cloud environments. It provides guidelines to help CSPs implement effective measures for protecting Personally Identifiable Information (PII). In this blog, […]

The post Top 10 Frequently Asked Questions on ISO 27018 Compliance appeared first on Kratikal Blogs.

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Overview Recently, US officials claimed to have successfully gained control of RapperBot, effectively curbing this powerful source of DDoS attacks. The operation pinpointed the key figure behind the botnet, Ethan Foltz. According to the investigation, Foltz has been developing and operating RapperBot since 2021, with his residence in Eugene, Oregon, USA. Since its activity, the […]

The post US Officials Claim to Have Gained Control of the RapperBot appeared first on NSFOCUS, Inc., a global network and cyber security leader, protects enterprises and carriers from advanced cyber attacks..

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Learn how to implement Zero Trust Architecture in practice. We map NIST 800-207 concepts—like Policy Enforcement Points (PEPs) and Policy Decision Points (PDPs)—to real-world technologies such as firewalls, identity providers, and endpoint protection platforms.

The post Zero Trust in Practice: Mapping NIST 800-207 to Real-World Technologies appeared first on Security Boulevard.

Is Your Organization Fully Leveraging the Benefits of Proactive Cloud Permissions Management? Organizations today increasingly acknowledge the significance of robust cybersecurity strategies in safeguarding their invaluable assets. One aspect of such strategies that is nonetheless often overlooked is the management of Non-Human Identities (NHIs) and their secrets. NHIs, which are essential machine identities in cybersecurity, […]

The post Staying Proactive in Managing Cloud Permissions? appeared first on Entro.

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Can We Truly Innovate Without Security? It’s an intriguing question, isn’t it? We’ve often seen technological leaps and bounds happening when there is a focus on innovation. Yet, without the underlying cradle of security, the innovative genius loses its strength. We delve into the strategic importance of secure machine identities, a crucial aspect that is […]

The post Pushing Innovation with Secure Machine Identities appeared first on Entro.

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If your agentic AI strategy is "cloud-only," you're living in 2015. Welcome to 2025, where 75% of enterprise workloads still run on-premises, and they're not moving to the cloud just because you deployed some agents.

The post Why Hybrid Deployment Models Are Essential for Secure Agentic AI appeared first on Strata.io.

The post Why Hybrid Deployment Models Are Essential for Secure Agentic AI appeared first on Security Boulevard.

For organizations using Splunk to manage security data, efficiency and return on investment (ROI) are often top of mind. That’s where Qmulos Q-Compliance and Q-BA2 (formerly Q-Audit) come in.

The post Supercharge Splunk Efficiency and ROI with Qmulos first appeared on Qmulos.

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Creator, Author and Presenter: Florian Noeding

Our deep appreciation to Security BSides - San Francisco and the Creators, Authors and Presenters for publishing their BSidesSF 2025 video content on YouTube. Originating from the conference’s events held at the lauded CityView / AMC Metreon - certainly a venue like no other; and via the organization's YouTube channel.

Additionally, the organization is welcoming volunteers for the BSidesSF Volunteer Force, as well as their Program Team & Operations roles. See their succinct BSidesSF 'Work With Us' page, in which, the appropriate information is to be had!

Permalink

The post BSidesSF 2025: The Art Of Cybersecurity Mastery: From Entry-Level To Staff+ appeared first on Security Boulevard.

The post Shifting Ground: The Ripple Effect of Federal Cyber Budget Cuts appeared first on AI Security Automation.

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The New Network Frontier: Edge Computing and the Crisis of Connectivity

Editor's note: This is the second post in a four-part series exploring the architectural gaps, strategic risks, and emerging models shaping the future of edge networking. In this series, we explore why traditional connectivity is failing at the cloud edge and what it will take to build secure, high-performance networks for the next generation of AI-driven, latency-sensitive applications. Previously, we explored the security blind spots created by traditional network perimeters. In this entry, we turn to why tunnel-free architectures are the foundation of the Trusted Cloud Edge.

=> Read Part One - The Cloud Edge Is Strong - But Your Network Is the Weakest Link

In today's rapidly evolving digital landscape, characterized by distributed workforces, proliferation of IoT devices, and the burgeoning demands of AI, traditional network architectures are proving increasingly inadequate. The conventional approach often relies on tunnels (e.g., VPNs, MPLS) to secure and connect remote users and edge devices to centralized data centers. While effective in their time, these tunnel-centric models introduce significant overhead, leading to latency, reduced bandwidth, and a single point of failure. This not only degrades the user experience but also creates a larger attack surface, making it challenging to secure the edge effectively.

Tunnel-Free Architectures: The Foundation for Optimal Edge Performance and Robust Security

A truly optimal edge performance demands a paradigm shift towards tunnel-free architectures. Instead of routing all traffic through a central choke point, which inevitably introduces latency and creates a single point of failure, a tunnel-free approach establishes dynamic, session-based encrypted channels directly between the user and the desired resource. This eliminates the inefficiencies inherent in older architectures that leverage persistent, direct point-to-point tunnels, which remain "up" at all times, often relying on frequent beacon packets to prevent timeouts, thereby consuming unnecessary bandwidth and resources.

Identity Centric Edge Emerges

This new paradigm is critical for modern distributed environments where applications and data are increasingly located at the edge, closer to the end-user. Tunnel-free architectures enable a more agile and responsive network by allowing for direct, secure connections on demand. This contrasts sharply with traditional VPNs or MPLS networks that funnel all traffic back through a central data center, regardless of the destination. Such centralized routing not only adds significant delay but also creates a scalability bottleneck, as the central infrastructure struggles to cope with thousands of simultaneous point-to-point tunnels. By deconstructing the monolithic tunnel and embracing a session-based approach, organizations can achieve superior performance, enhance security by reducing the attack surface of a single central gateway, and improve the overall user experience for applications ranging from IoT devices to cloud-native services.

This is achieved through:

• Identity-Centric Access: Security is no longer solely based on network location but on verified user and device identities. This allows for granular access control, ensuring that only authorized entities can connect to specific resources.
• Micro-segmentation:Networks are segmented into smaller, isolated zones, limiting the blast radius of a potential breach. Even if an attacker gains access to one segment, their ability to move laterally across the network is severely restricted.
• Distributed Policy Enforcement: Security policies are enforced at the edge, closer to the users and devices. This reduces latency and enhances security by preventing malicious traffic from reaching the core network.

The benefits of a tunnel-free approach are many fold: significantly reduced latency and improved application performance, enhanced scalability to accommodate the ever-growing number of edge devices, and a fundamentally more secure posture by eliminating the need for trust within the network perimeter.

The Trusted Cloud Edge: Enhancing SASE and ZTNA

While Secure Access Service Edge (SASE) and Zero Trust Network Access (ZTNA) represent significant advancements in network security, the concept of a Trusted Cloud Edge (TCE) model enhances and complements these strategies by focusing on the "last mile" of security and performance.

• Beyond the POP: SASE and ZTNA often rely on cloud-based Points of Presence (POPs) for security enforcement. While effective for most traffic, the Trusted Cloud Edge extends this security posture even closer to the actual user and device, especially in highly distributed or remote environments. It ensures that even if a device is offline or in a low-connectivity area, its connection remains secure and optimized.
• Dynamic Trust Evaluation: The Trusted Cloud Edge continuously evaluates the trust posture of devices and users, adapting access policies in real-time based on behavioral analytics, device health, and environmental factors. This goes beyond the initial authentication often found in ZTNA.
• Resilient Connectivity:By leveraging multiple network paths and intelligent routing, the Trusted Cloud Edge ensures continuous connectivity even in the face of network outages or congestion. This is crucial for critical applications and for maintaining business continuity.

In essence, the Trusted Cloud Edge acts as an intelligent, secure intermediary that bridges the gap between traditional SASE/ZTNA frameworks and the unique demands of a truly distributed and performance-sensitive edge. It ensures that security is not an afterthought but an intrinsic part of every connection, optimizing performance without compromising on protection.

Real-World Scenarios and Future-Proofing Infrastructure

The theoretical benefits of tunnel-free architectures and the Trusted Cloud Edge are best understood through practical deployment scenarios. These illustrate how a resilient, multipath, stealth networking approach can revolutionize operations and security for various industries.

Examples of TCE Real-World Deployment Scenarios: Remote Healthcare Diagnostics

Imagine a rural clinic where doctors need to securely access high-resolution patient scans and collaborate with specialists located miles away. A traditional VPN connection would be slow and prone to interruptions. With a tunnel-free architecture, the diagnostic equipment, doctor's workstation, and specialist's terminal all establish direct, encrypted, identity-verified connections to the medical imaging server and collaboration platform. The Trusted Cloud Edge ensures low latency for large file transfers and real-time video consultations, dynamically routing traffic over the most optimal path, even if one internet link is degraded. This stealth networking approach also makes the medical devices invisible to unauthorized scans, significantly reducing the attack surface.

Distributed Manufacturing and IoT

A global manufacturing company operates factories equipped with thousands of IoT sensors and robotic systems. These devices generate massive amounts of data that needs to be securely transmitted to a central analytics platform and cloud-based control systems. A tunnel-free network allows each IoT device to establish a direct, secure connection to its designated cloud service, bypassing any central gateway. The multipath capability of the Trusted Cloud Edge ensures that sensor data continues to flow even if one factory's internet connection experiences an issue. The stealth networking aspect prevents unauthorized access to the operational technology (OT) network, crucial for preventing industrial espionage or cyber-physical attacks.

Hybrid Work Environments for Financial Services

A financial institution has employees working from home, branch offices, and corporate headquarters, all needing secure access to sensitive financial applications and data. A tunnel-free, Zero Trust approach ensures that each employee's device and identity are rigorously verified before granting access to specific applications. The Trusted Cloud Edge intelligently routes traffic to the nearest and most performant application instance, regardless of the user's location. This eliminates the need for bandwidth-intensive VPNs, improves application responsiveness, and provides a granular audit trail of all access attempts, crucial for compliance. The stealth nature of the connections prevents attackers from even detecting the presence of sensitive financial systems on the internet.

Future-Proofing Infrastructure for the Next 5–10 Years:

The demands of AI, mobility, and compliance will only intensify over the coming decade. Future-proofing infrastructure requires a proactive approach that anticipates these trends:

AI Readiness

AI applications are data-intensive and require low-latency access to vast datasets. Traditional hub-and-spoke networks cannot cope with the sheer volume and speed required as AI agents expand and change much of the current internet’s traffic patterns. A tunnel-free, distributed edge architecture with multipath capabilities is essential to enable real-time AI inference at the edge and seamless data ingestion for cloud-based AI training. This means prioritizing bandwidth and ensuring direct, optimized paths for AI workloads.

Ubiquitous Mobility

The mobile workforce will continue to grow, with employees accessing corporate resources from a myriad of devices and locations. Future-proof infrastructure must provide seamless, secure, and high-performance access regardless of the user's network or device. This necessitates an identity-centric, Zero Trust model that can adapt to constantly changing user contexts and device postures. Attacks centered on targeting administrators and specialized users means we should be augmenting our approach to protecting these users with higher priority and degrees of separation of function and duty to help defend against breach. The ability to dynamically enforce policies and route traffic over optimal paths for mobile users is paramount.

Evolving Compliance Landscape

Regulations around data privacy (e.g., GDPR, CCPA), industry-specific compliance (e.g., HIPAA, PCI DSS), and national cybersecurity directives will become more stringent. Future-proof infrastructure must embed security and compliance at every layer, from the device to the application. This includes immutable audit trails, robust encryption, granular access controls, and the ability to demonstrate compliance through automated reporting. The stealth networking aspect inherently reduces the attack surface and thus the risk of non-compliance due to breaches.

By adopting tunnel-free architectures, embracing the Trusted Cloud Edge, and focusing on resilience and stealth, organizations can build an infrastructure that is not only secure and performant today but also agile and adaptable enough to meet the challenges and opportunities of the next decade.

Deconstructing the Dispersive Trusted Cloud Edge: A New Networking Paradigm The Core Tenet: Preemptive Defense through Stealth Networking

Dispersive Stealth Networking's preemptive defense approach to network security is a radical departure from the conventional wisdom of "detect and respond." Its core philosophy is rooted in battlefield-proven military communications techniques and is elegantly simple: "You can't hack what you can't see". This represents a fundamental paradigm shift toward preemptive cyber defense, designed to neutralize threats before an attack can even begin.

The mechanism for achieving this is Stealth Networking. Instead of simply encrypting data and sending it down a predictable pipe, Dispersive actively obfuscates traffic patterns and conceals network endpoints. This process makes the entire network infrastructure—from the remote user to the cloud edge—effectively invisible to external reconnaissance. By denying adversaries a visible target, Dispersive disrupts the critical initial phases of an attack lifecycle, a tactic proven effective against sophisticated state-sponsored threat actors like "Salt Typhoon," which rely heavily on mapping target networks before launching an assault.

The Technical Engine: Patented Split-Session Multipath™ and the Deflection Cloud

At the heart of Dispersive's platform is its patented Split-Session Multipath™ tunnel-free technology, a sophisticated method for securing and accelerating data in transit. The process unfolds in five distinct steps:

1.    Split-Session Multipath: At the authenticated source, a single data session is dynamically split into multiple, smaller, independent packet streams. This is the first layer of obfuscation, as no single stream contains the complete data set.

2.    Individual Encryption & Re-addressing: Each of these new streams is individually encrypted and encapsulated with a Dispersive header. This header contains dynamic instructions that dictate the unique network path each stream will traverse.

3.    Data Deflections: The streams are then sent simultaneously across multiple, unpredictable network paths. These paths can include any available transport, such as different ISPs, 5G/LTE, satellite, or private circuits. The traffic is routed through a global mesh of lightweight, software-based nodes known as "Data Deflects," which form the Dispersive Deflection Cloud.

4.    Dynamic Path Rolling: The network paths are not static. Throughout the session, the Dispersive controller continuously "rolls" the paths, dynamically re-routing streams to bypass network congestion, avoid link failures, and proactively evade emerging threats in real time.

5.    Reassembly: At the authenticated destination, the Dispersive gateway receives the multiple streams, reassembles them in the correct order, re-requests any missing packets to ensure guaranteed delivery, and strips the Dispersive headers before passing the original, pristine data to the receiving application.

This innovative process creates a self-healing, active-active network that is profoundly resilient to disruptions. By intelligently leveraging the best-performing paths at any given moment, it can deliver up to 10 times the performance of traditional single-path networks.

A Foundation of Zero Trust at the Network Layer and Edge

While the industry has largely focused on Zero Trust Network Access (ZTNA) to secure user identity, Dispersive extends the core principles of Zero Trust to the network transport layer itself. The Trusted Cloud Edge concept extends Zero Trust concepts to deliver trusted edge enclaves that can service many edge use cases, where throughput, data collection and processing and AI interactions need to be closest to the customer or user locations. 

This network-centric approach provides a far more robust security posture by:

•    Eliminating the Attack Surface: By making network endpoints invisible and removing the need for static tunnels, there is no tangible perimeter for an attacker to target or exploit.
•    Preventing Lateral Movement: Micro-segmentation is enforced at the network level. Every user, device, and application is isolated within its own secure, multi-path environment. Even if a single endpoint were compromised, the attacker would be contained within that segment, unable to move laterally across the network to access other resources.
•    Achieving Quantum Resistance: The platform's architecture provides a powerful defense against future threats from quantum computing. An adversary would not only need to break the advanced encryption but would first have to simultaneously intercept multiple, dynamically changing packet streams and then correctly reassemble the fragmented data without the instructions. This makes data reconstruction computationally infeasible, even for quantum-scale computers.

Sub-Second Resilience vs 15 Second Traditional Failover

The Dispersive architecture fundamentally redefines network resilience. Traditional models depend on failover (an active-passive system), where a connection is lost and must be re-established on a backup link, causing an outage. Dispersive operates on a principle of active-active resilience, where data can be sent simultaneously across multiple paths. It is not waiting for a path to fail; it is simultaneously using multiple paths and leveraging AI to constantly measure their health in terms of latency, jitter, and packet loss. If one path begins to degrade, traffic is instantly and seamlessly rerouted away from it in milliseconds, without ever dropping the session. This provides what the company describes as "unbreakable" connectivity, moving from a binary concept of "up or down" to a fluid model of continuous, performance-assured availability.

This approach also inverts the economic model of cyberattacks. For a traditional attack, an adversary must identify a target (like a VPN concentrator) and intercept a single, encrypted data stream. With Dispersive, an attacker must first find multiple, constantly changing, and obfuscated network paths. They must then capture all the fragmented packets from all of these paths simultaneously. Finally, they must break the individual encryption on each stream and reassemble them in the correct order. This elevates the attack from a single complex problem to multiple, simultaneous, and exponentially harder problems, making a successful attack economically and computationally non-viable for all but the most sophisticated and well-funded nation-state actors.

Table 1: Architectural Showdown: Legacy VPN/SD-WAN vs. Dispersive TCE

Feature

Legacy VPN/SD-WAN

Dispersive Trusted Cloud Edge (TCE)

Architecture

Static, point-to-point tunnels

Dynamic, multi-path, tunnel-free mesh

Security Posture

Reactive (encryption on a single path)

Preemptive (obfuscation, splitting, multi-path encryption)

Attack Surface

Exposed and predictable (visible endpoints and tunnels)

Invisible and unpredictable (cloaked endpoints, no tunnels)

Resilience

Single point of failure per tunnel

Self-healing, active-active multi-path

Performance

Prone to bottlenecks and latency

AI-optimized for low latency and high throughput (up to 10x faster)

Zero Trust Model

Primarily identity-focused (ZTNA overlay)

Foundational network-centric Zero Trust

Complexity

High (tunnel sprawl, complex management)

Low (simplified, software-defined overlay)

 

Tunnel-free architectures and the Trusted Cloud Edge redefine how organizations secure and optimize distributed environments. By eliminating static choke points, embracing identity-centric access, and embedding resilience into every connection, enterprises gain both performance and protection. More importantly, they gain a foundation designed for the next decade of AI, mobility, and compliance pressures. This is not just an architectural upgrade, it’s a strategic shift toward preemptive defense and continuous trust.

In Part Three, we’ll explore how these principles extend into real-world deployment strategies and how organizations can practically evolve their networks without disrupting existing operations.

Let’s make your network something they can’t find. Schedule a personalized demo to get started.

Additional Reading

Explore more blogs by Lawrence Pingree.

=> (Part One) The Cloud Edge Is Strong - But Your Network Is the Weakest Link

=> Salt Typhoon and the Case for Preemptive Cyber Defense

=> Cybersecurity Needs Satellite Navigation, Not Paper Maps

=> Defending Against the Chinese Telecom Hack with Stealth Networking

=> Your Network Is Showing - Time to Go Stealth

=> Secure AI Workspaces Need More Than a VPN

=> When Good Tools Go Bad: Dual-Use in Cybersecurity

Header image courtesy of Suresh Anchan from Pixabay.

The post The Imperative of Tunnel-Free Trusted Cloud Edge Architectures appeared first on Security Boulevard.

 

Are we ready for AI as it evolves to influence or drive business leadership roles?

Stuart Evans, a distinguished professor at Carnegie Mellon University, discusses the transformative impact of AI on leadership roles and business operations. We explore how AI is reshaping decision-making processes, the organizational changes required to adapt to AI, and the associated risks and challenges.

The discussion emphasizes the importance of adaptability, data security, and the evolving role of cybersecurity in an AI-driven world. Stuart highlights the need for leaders to embrace change and innovation while maintaining a strategic mindset to navigate the complexities of AI integration.

The Cybersecurity Vault — episode 47, with guest Stuart Evans

• AI is increasingly taking on leadership roles, especially in entry-level positions.
• Leadership requires judgment and intuition, which AI currently lacks.
• The rapid evolution of AI has changed productivity significantly.
• Organizations must adapt quickly to the fast-paced innovation cycle.
• AI can assist in decision-making but should not replace human judgment.
• Cybersecurity must be integrated into AI projects from the beginning.
• Data security is crucial as organizations become more dependent on AI.
• The risks of AI adoption include potential catastrophic failures.
• Leaders must embrace a flexible approach to manage AI integration.
• The future of leadership will require adaptability and strategic thinking.

Stuart’s LinkedIn profile: https://www.linkedin.com/in/evansstuart/

For more cybersecurity insights:

• Subscribe to the Cybersecurity Insights channel: https://www.youtube.com/CybersecurityInsights
• Substack: https://substack.com/@matthewrosenquist
• Visit Cybersecurity Insights at: https://www.cybersecurityinsights.us

The post Rise and Risks of AI in Business Leadership appeared first on Security Boulevard.

Xi Whiz: HTTPS connections on port 443 received forged replies.

The post NOT-So-Great Firewall: China Blocks the Web for 74 Min. appeared first on Security Boulevard.

Healthcare has more data than it knows what to do with. Petabytes of patient records, clinical notes, lab results, and wearable feeds pile up daily....Read More

The post The Future Is Predictive: Top 7 AI Tools Shaping Healthcare Analytics in 2025 appeared first on ISHIR | Software Development India.

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Cybercriminals commonly target K-12 schools. To trick staff, students, and even parents into disclosing sensitive information, malicious attackers deploy phishing attacks. Training individuals on how to spot phishing emails is a key guardrail and can prevent significant financial, operational, and regulatory repercussions.  Read on as we unpack seven common phishing email examples and the steps ...

The post 7 Phishing Email Examples (And How To Spot Them) appeared first on ManagedMethods Cybersecurity, Safety & Compliance for K-12.

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Over the last year, I’ve spent countless hours with CISOs, CTOs, and security architects talking about a new wave of technology that’s changing the game faster than anything we’ve seen before: Agentic AI and Model Context Protocol (MCP) servers.

If you think AI is still in the “cool demos and pilot projects” stage, think again. We’re already seeing autonomous agents reasoning, remembering, and taking actions in live production environments. MCP servers are quietly becoming the central nervous system for these agents, brokering instructions, accessing tools, and orchestrating API calls across your systems.

This is no longer an “emerging tech” conversation. It’s a real risk surface conversation. And it’s all powered by APIs.

Why APIs Are Now the Front Line

Every AI agent and MCP server interaction runs on APIs. Those APIs pull data from customer records, update transaction systems, initiate workflows, and often do so without a human in the loop.

Here’s the problem:

• Most current security tooling, like WAFs, API gateways, CDNs, and LLM security wrappers can’t see all of this API traffic.
• The API calls between an MCP server and your internal or third-party data sources often happen deep inside your environment, bypassing the “edge” where traditional tools sit.
• Many of these APIs are new, undocumented, or dynamic, created on the fly as agents take new actions.

Without real-time visibility into this API fabric, you’re blind to:

• What data agents are accessing
• Whether they’re staying within policy
• If an attacker has hijacked an agent or exploited an API to breach your system

The Stakes for CISOs

For CISOs, this is a perfect storm: a technology that’s moving faster than your governance frameworks, with attack surfaces multiplying overnight, all in a domain (APIs) where most organizations already struggle to get full visibility.

The “just secure the AI model” approach doesn’t work here. The model isn’t the thing taking actions; the APIs are. If you don’t secure them, you don’t secure the AI. Period.

The 5 Questions Every CISO Should Be Asking Right Now

When I meet with CISOs today, these are the five questions I tell them to put on the table immediately:

1. Do we have an accurate, up-to-date inventory of every API our AI agents and MCP servers are using? If you don’t know what you have, you can’t protect it.
2. Can we see API traffic between our MCP servers, AI agents, and all internal/third-party data sources in real time? Edge-only visibility isn’t enough. You need to see the whole API fabric.
3. Are our governance and policy controls applied at the API level for AI-driven actions? An AI agent can violate policy just as easily as a human, maybe faster.
4. Do we have threat detection tuned for AI-driven API attacks and abuse patterns? This is not “just another OWASP Top 10” problem. Agentic AI creates new classes of attacks.
5. How fast can we identify and stop a rogue agent or compromised MCP server before it impacts data or systems? Containment speed is everything once something goes wrong.

Where Salt Security Fits

At Salt, we’ve been securing APIs since before “API security” was even a market category. Our platform gives you:

• Complete visibility into all API traffic, including the traffic no other tool sees between MCP servers, AI agents, and data sources.
• Continuous discovery so you’re never blindsided by a new or shadow API.
• Real-time threat detection and blocking built for modern API abuse patterns, including those driven by AI agents.
• Governance at scale, so your policies follow the API, no matter how dynamic your environment gets.

If Agentic AI is your new competitive advantage, API security is your new survival strategy. You can’t slow the technology down, but you can be ready for it.

Final Thought

Agentic AI and MCP servers are reshaping the attack surface, whether we like it or not. The organizations that thrive in this new reality will be the ones that treat API security as core infrastructure and not an afterthought. If you’re not already asking the five questions above, now is the time to start.

If your team is exploring agentic AI and wants to talk about securing the foundation it runs on, let’s connect. Request a demo now, and I’ll have one of our AI security experts reach out to you directly.

Also, we are hosting a webinar on August 28 to explore these topics in more depth. You can register for the webinar here.

The post Why AI Agents and MCP Servers Just Became a CISO’s Most Urgent Priority appeared first on Security Boulevard.