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Cyber Security

Gartner Identifies Top Security and Risk Management Trends for 2022

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Security and risk management leaders must address seven top trends to protect the ever-expanding digital footprint of modern organizations against new and emerging threats in 2022 and beyond, according to Gartner, Inc. “Organizations worldwide are facing sophisticated ransomware, attacks on the digital supply chain and deeply embedded vulnerabilities,” said Peter Firstbrook, research vice president at Gartner. “The pandemic accelerated hybrid work and the shift to the cloud, challenging CISOs to secure an increasingly distributed enterprise – all while dealing with a shortage of skilled security staff.”

These challenges lend themselves to three overarching trends impacting cybersecurity practices: (i) new responses to sophisticated threats, (ii) the evolution and reframing of the security practice, and (iii) rethinking technology. The following trends will have a broad industry impact across those three domains:

Trend 1: Attack Surface Expansion
Enterprise attack surfaces are expanding. Risks associated with the use of cyber-physical systems and IoT, open-source code, cloud applications, complex digital supply chains, social media, and more have brought organisations’ exposed surfaces outside of a set of controllable assets. Organizations must look beyond traditional approaches to security monitoring, detection, and response to manage a wider set of security exposures.

Digital risk protection services (DRPS), external attack surface management (EASM) technologies, and cyber asset attack surface management (CAASM) will support CISOs in visualizing internal and external business systems, automating the discovery of security coverage gaps.

Trend 2: Digital Supply Chain Risk
Cybercriminals have discovered that attacks on the digital supply chain can provide a high return on investment. As vulnerabilities such as Log4j spread through the supply chain, more threats are expected to emerge. In fact, Gartner predicts that by 2025, 45% of organizations worldwide will have experienced attacks on their software supply chains, a three-fold increase from 2021.

Digital supply chain risks demand new mitigation approaches that involve more deliberate risk-based vendor/partner segmentation and scoring, requests for evidence of security controls and security best practices, a shift to resilience-based thinking, and efforts to get ahead of forthcoming regulations.

Trend 3: Identity Threat Detection and Response
Sophisticated threat actors are actively targeting identity and access management (IAM) infrastructure, and credential misuse is now a primary attack vector. Gartner introduced the term “identity threat detection and response” (ITDR) to describe the collection of tools and best practices to defend identity systems.

“Organizations have spent considerable effort improving IAM capabilities, but much of it has been focused on technology to improve user authentication, which actually increases the attack surface for a foundational part of the cybersecurity infrastructure,” said Firstbrook. “ITDR tools can help protect identity systems, detect when they are compromised and enable efficient remediation.”

Trend 4: Distributing Decisions
Enterprise cybersecurity needs and expectations are maturing, and executives require more agile security amidst an expanding attack surface. Thus, the scope, scale, and complexity of digital business make it necessary to distribute cybersecurity decisions, responsibility, and accountability across the organization units and away from a centralized function.

“The CISO role has moved from a technical subject matter expert to that of an executive risk manager,” said Firstbrook. “By 2025, a single, centralized cybersecurity function will not be agile enough to meet the needs of digital organizations. CISOs must reconceptualize their responsibility matrix to empower Boards of Directors, CEOs, and other business leaders to make their own informed risk decisions.”

Trend 5: Beyond Awareness
Human error continues to be a factor in many data breaches, demonstrating that traditional approaches to security awareness training are ineffective. Progressive organizations are investing in holistic security behavior and culture programs (SBCPs), rather than outdated compliance-centric security awareness campaigns. An SBCP focuses on fostering new ways of thinking and embedding new behavior with the intent to provoke more secure ways of working across the organization.

Trend 6: Vendor Consolidation
Security technology convergence is accelerating, driven by the need to reduce complexity, reduce administration overhead and increase effectiveness. New platform approaches such as extended detection and response (XDR), security service edge (SSE), and cloud-native application protection platforms (CNAPP) are accelerating the benefits of converged solutions.

For example, Gartner predicts that by 2024, 30% of enterprises will adopt cloud-delivered secure web gateway (SWG), cloud access security broker (CASB), zero-trust network access (ZTNA), and branch office firewall as a service (FWaaS) capabilities from the same vendor. Consolidation of security functions will lower the total cost of ownership and improve operational efficiency in the long term, leading to better overall security.

Trend 7: Cybersecurity Mesh
The security product consolidation trend is driving the integration of security architecture components. However, there is still a need to define consistent security policies, enable workflows, and exchange data between consolidated solutions. A cybersecurity mesh architecture (CSMA) helps provide a common, integrated security structure and posture to secure all assets, whether they’re on-premises, in data centers, or in the cloud.

“Gartner’s top cybersecurity trends don’t exist in isolation; they build on and reinforce one another,” said Firstbrook. “Taken together, they will help CISOs evolve their roles to meet future security and risk management challenges and continue elevating their standing within their organisations.”

Cyber Security

GISEC Global 2025: Phishing, Data Breaches, Ransomware, and Supply Chain Attacks Causing Challenges

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Maher Jadallah, the Vice President for Middle East and North Africa at Tenable, says effective exposure management requires a unified view of the entire attack surface (more…)

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Cyber Security

GISEC Global 2025: A Place Where Innovation, Partnerships, and Leadership Come Together

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Meriam ElOuazzani, the Senior Regional Director for META at SentinelOne, says, the company will showcase its latest developments in AI-powered security solutions, reinforcing its position as a leader in this area (more…)

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Artificial Intelligence

Cequence Intros Security Layer to Protect Agentic AI Interactions

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Cequence Security has announced significant enhancements to its Unified API Protection (UAP) platform to deliver a comprehensive security solution for agentic AI development, usage, and connectivity. This enhancement empowers organizations to secure every AI agent interaction, regardless of the development framework. By implementing robust guardrails, the solution protects both enterprise-hosted AI applications and external AI APIs, preventing sensitive data exfiltration through business logic abuse and ensuring regulatory compliance.

There is no AI without APIs, and the rapid growth of agentic AI applications has amplified concerns about securing sensitive data during their interactions. These AI-driven exchanges can inadvertently expose internal systems, create significant vulnerabilities, and jeopardize valuable data assets. Recognising this critical challenge, Cequence has expanded its UAP platform, introducing an enhanced security layer to govern interactions between AI agents and backend services specifically. This new layer of security enables customers to detect and prevent AI bots such as ChatGPT from OpenAI and Perplexity from harvesting organizational data.

Internal telemetry across Global 2000 deployments shows that the overwhelming majority of AI-related bot traffic, nearly 88%, originates from large language model infrastructure, with most requests obfuscated behind generic or unidentified user agents. Less than 4% of this traffic is transparently attributed to bots like GPTBot or Gemini. Over 97% of it comes from U.S.-based IP addresses, highlighting the concentration of risk in North American enterprises. Cequence’s ability to detect and govern this traffic in real time, despite the lack of clear identifiers, reinforces the platform’s unmatched readiness for securing agentic AI in the wild.

Key enhancements to Cequence’s UAP platform include:

  • Block unauthorized AI data harvesting: Understanding that external AI often seeks to learn by broadly collecting data without obtaining permission, Cequence provides organizations with the critical capability to manage which AI, if any, can interact with their proprietary information.
  • Detect and prevent sensitive data exposure: Empowers organizations to effectively detect and prevent sensitive data exposure across all forms of agentic AI. This includes safeguarding against external AI harvesting attempts and securing data within internal AI applications. The platform’s intelligent analysis automatically differentiates between legitimate data access during normal application usage and anomalous activities signaling sensitive data exfiltration, ensuring comprehensive protection against AI-related data loss.
  • Discover and manage shadow AI: Automatically discovers and classifies APIs from agentic AI tools like Microsoft Copilot and Salesforce Agentforce, presenting a unified view alongside customers’ internal and third-party APIs. This comprehensive visibility empowers organizations to easily manage these interactions and effectively detect and block sensitive data leaks, whether from external AI harvesting or internal AI usage.
  • Seamless integration: Integrates easily into DevOps frameworks for discovering internal AI applications and generates OpenAPI specifications that detail API schemas and security mechanisms, including strong authentication and security policies. Cequence delivers powerful protection without relying on third-party tools, while seamlessly integrating with the customer’s existing cybersecurity ecosystem. This simplifies management and security enforcement.

“Gartner predicts that by 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously. We’ve taken immediate action to extend our market-leading API security and bot management capabilities,” said Ameya Talwalkar, CEO of Cequence. “Agentic AI introduces a new layer of complexity, where every agent behaves like a bidirectional API. That’s our wheelhouse. Our platform helps organizations embrace innovation at scale without sacrificing governance, compliance, or control.”

These extended capabilities will be generally available in June.

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