Best 9 Runtime Security Tools For Development Teams (2026)

We reviewed the leading runtime security platforms on detection speed, anomaly identification accuracy, and how well they integrate with existing incident response workflows without adding operational overhead.

Last updated on Jul 7, 2026
Joel Witts Written by Joel Witts
Laura Iannini Technical Review by Laura Iannini
Top 9 Runtime Security Tools

Runtime security tools protect applications during execution, detecting anomalous behavior and blocking exploitation attempts in the live environment where development-time controls no longer apply. Runtime threats target applications after deployment, when static analysis is no longer relevant. We reviewed the top tools and found Aikido Security, Aqua Security CWPP, and Check Point CloudGuard for Workload Protection to be the strongest on detection speed and incident response workflow integration.

Runtime security is critical for organizations running containers and Kubernetes at any scale. Vulnerabilities that static scanners miss emerge when code runs in production. Attackers move laterally through workloads, but most teams lack visibility into what’s actually happening on their systems until something breaks or an audit surfaces the problem.

The market has fractured into competing approaches. Some vendors push agent-heavy architectures that add resource overhead. Others promise agentless scanning but require deep integrations with your cloud provider. Many default to alert flooding that treats critical threats the same as suspicious system calls. Getting this decision wrong means either operational friction that makes deployment painful or gaps that compliance auditors will catch before you do.

We evaluated 9 runtime security platforms across cloud-native environments, evaluating each for detection accuracy, deployment friction, alert quality, and management overhead. We also reviewed customer feedback and integration experiences to understand where platforms deliver on their promises and where the gap between marketing claims and real-world behavior widens. What we found is that runtime protection maturity varies significantly. Some platforms treat every suspicious behavior as a critical incident, while others quietly miss active threats. Several claim agentless approaches but require extensive infrastructure changes to function correctly.

This guide gives you the testing insights and decision framework to select a runtime security platform that matches your deployment model, team size, and tolerance for operational complexity.

What is Runtime Security?

Runtime security protects applications while they are actually running in production, rather than checking code before it ships. Once an application is live, attackers can exploit it, move between systems, or abuse it in ways that pre-deployment scanning never sees. Runtime security tools watch how applications and workloads behave in real time, spot suspicious activity like unexpected processes or network connections, and block exploitation attempts as they happen. Think of it as the security layer that takes over once code leaves development and starts handling real traffic, where static scanners no longer apply.

Runtime security monitors live workloads, containers, hosts, serverless functions, and Kubernetes, for malicious behavior that development-time controls cannot catch. Detection combines signature matching with behavioral analysis, increasingly using eBPF at the kernel level to observe processes, system calls, file activity, and network connections with low overhead. This surfaces threats that static scanners miss: zero-day exploitation, lateral movement, drift from a known-good baseline, and abuse of legitimate tools. The strongest platforms enforce immutability, block exploitation in real time, and reconstruct an incident timeline for investigation.

The defining trade-offs are deployment model and alert quality. Agent-based and eBPF approaches see deep workload context but add some resource overhead, while agentless scanning deploys quickly but captures less live behavior. Just as important is signal over volume: a platform that treats every suspicious system call as a critical incident drives alert fatigue, so behavioral analysis, threat-intelligence correlation, and exploitability ranking are what surface the attacks that matter. Runtime detection is the backstop when build-time controls and access management fail, and it works best when findings route cleanly into existing incident response and ticketing workflows.

Runtime Security Tools Compared

Here is how the top runtime security tools compare on best fit and core capabilities.

Product Best For eBPF / Behavioral Detection Agentless Option Real-Time Prevention Multi-Cloud Coverage
Aikido Security
Runtime protection as a WAF alternative
Yes
No
Yes
Yes
Aqua Security CWPP
Cloud-native workload protection at scale
Yes
No
Yes
Yes
Check Point CloudGuard for Workload Protection
Enterprise multi-cloud workload protection
Yes
Yes
Yes
Yes
CrowdStrike Falcon Cloud Security CWP
Detection accuracy and Falcon integration
Yes
No
Yes
Yes
Microsoft Defender for Cloud
Microsoft-centric and multi-cloud environments
Yes
Yes
Yes
Yes
Orca Security CWPP
Agentless operational simplicity
Yes
Yes
No
Yes
Sysdig Secure
Runtime-informed risk prioritization
Yes
No
Yes
Yes
Trend Micro Trend Vision One
Heterogeneous and legacy OS environments
Yes
No
Yes
Yes
Wiz Runtime Sensor
Real-time detection within a CNAPP
Yes
No
No
Yes

How We Tested

Expert Insights is an independent editorial team, and no vendor can pay to influence our reviews. We evaluated leading runtime security platforms across cloud-native environments, assessing detection accuracy, false positive rates, and agent performance overhead through hands-on testing and customer feedback. This guide was written by Mirren McDade, Senior Journalist and Content Writer, and technically reviewed by Laura Iannini, Cybersecurity Analyst at Expert Insights. Read our full methodology

Aikido Security Logo
Aikido Security

Best for Teams using runtime security as a WAF alternative

Aikido Security is a code-to-cloud and runtime security platform. It consolidates security testing tools, including SAST, DAST, and CSPM into one single platform to help developers automatically find and fix vulnerabilities in code. It also provides a runtime security solution: Zen.

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  • Zen in-application firewall automatically blocks SQL and command injection attacks, path traversal attempts, and bot attacks, and can rate-limit APIs to prevent brute force attacks
  • Prevents zero-day and OWASP Top 10 vulnerabilities in real time as your applications run, both inside and outside your application, without continuous manual monitoring
  • Filters incoming traffic, taking on network firewall functionality, using crowdsourced threat intelligence to block malicious IPs
  • Blocks any kind of network traffic, including SEO crawlers, AI data scrapers, and traffic from specific countries or the dark web
  • Supports Node, Python, PHP, JavaScript, .Net, and Ruby, running inside your application with low performance impact

Aikido’s pricing is publicly available. Paid plans start at $350 USD per month for up to ten users, which includes the runtime protection capabilities and 10M protected requests per month. The Pro version costs $700 USD per month and includes 20M protected requests. A free plan is available for up to 2 users. We recommend Aikido to teams who are considering runtime security as an alternative to, or in conjunction with, a traditional web application firewall. The platform is trusted and provides a strong feature set at a competitive price point.

Strengths
In-app firewall blocks SQL injection, command injection, and path traversal in real time
Automatic API rate limiting and Swagger document generation
Crowdsourced threat intelligence blocks malicious IPs, bots, and AI scrapers
Supports Node, Python, PHP, JavaScript, .Net, and Ruby
Runs inside your application with low performance impact
Cautions
Breadth of features may be more than smaller teams with simple testing needs require
2.

Aqua Security CWPP

Aqua Security CWPP Logo
Aqua Security

Best for Mid-market and enterprise teams running containers at scale

Aqua Security CWPP protects cloud-native workloads across hybrid and multi-cloud environments. It combines runtime protection with drift prevention and behavioral detection using eBPF at the kernel level. We were impressed by the layered detection approach, which catches both known threats and suspicious behavioral patterns that static scanners miss.

  • eBPF-based detection alongside signature matching, powered by Aqua’s open source Tracee engine
  • Team Nautilus threat intelligence feeds IoCs directly into detection, drawing from analysis of over 80,000 attacks per month
  • Drift prevention enforces immutability at runtime, so unexpected changes are flagged immediately
  • Automatic incident timeline stitches together workload activities for reconstruction without manual log correlation
  • Lightweight agent minimizes performance impact on workloads

Scanner setup and component deployment get consistent praise for being straightforward. The built-in compliance frameworks save time on baseline configuration. Something to be aware of is that UI navigation is the common friction point; teams new to cloud security tooling report a learning curve with the module structure.

We think Aqua works best for mid-market and enterprise teams with established cloud-native infrastructure who need workload protection beyond basic scanning. If you’re running containers at scale across multiple clouds, the runtime visibility and drift controls justify the onboarding investment. Smaller teams or those early in their cloud journey may find the interface overhead a bit of a barrier.

Strengths
eBPF-based behavioral detection catches threats scanners miss
Automatic incident timelines speed up investigation
Drift prevention enforces workload immutability in real time
Lightweight agent minimizes performance impact on workloads
Cautions
Users report UI navigation challenges for teams new to cloud security tooling
Reviews flag support response times averaging around two days
3.

Check Point CloudGuard for Workload Protection

Check Point CloudGuard for Workload Protection Logo
Check Point

Best for Enterprise teams in the Check Point ecosystem

Check Point CloudGuard delivers workload security across serverless functions, Kubernetes containers, and microservices. It extends Check Point’s threat prevention capabilities into cloud-native environments with AI-powered detection and zero-trust enforcement. We think this is a strong fit for enterprise teams already in the Check Point ecosystem or managing complex multi-cloud deployments.

  • Embeds security directly into the DevOps pipeline, with Image Assurance validating container integrity before deployment
  • Admission Control enforces policy-based access for Kubernetes workloads
  • Automated policy application monitors and adjusts security posture across Kubernetes clusters continuously without constant manual oversight
  • AI-powered threat prevention with real-time traffic monitoring and blocking
  • Centralized dashboard consolidates traffic flows, compliance status, and risk visibility in one place

AWS and Azure integration works well, and the centralized dashboard consolidates traffic flows, compliance status, and risk visibility in one place. Teams report significant time savings on manual monitoring and audit preparation. With that said, initial configuration is where teams hit friction. Policy management has a steep learning curve, and advanced features demand real technical depth.

We think CloudGuard works best for enterprise teams with existing Check Point relationships or those needing unified workload protection across complex multi-cloud architectures. If you have the technical resources to handle initial setup, the long-term operational efficiency pays off. Pricing sits higher than some alternatives, which matters if you’re not already standardized on Check Point.

Strengths
AI-powered threat prevention with real-time traffic monitoring
Image Assurance validates container integrity before production
Centralized dashboard consolidates compliance, risk, and traffic visibility
Automated policy enforcement reduces manual workload
Cautions
Customers note initial configuration and policy management require significant technical depth
Reviews mention pricing runs higher than competing workload protection platforms
4.

CrowdStrike Falcon Cloud Security CWP

CrowdStrike Falcon Cloud Security CWP Logo
CrowdStrike

Best for Organizations prioritizing detection accuracy and Falcon integration

CrowdStrike Falcon Cloud Security protects workloads across Linux, Windows, containers, Kubernetes, and serverless environments like AWS Fargate. It extends CrowdStrike’s endpoint detection into cloud-native infrastructure through the Falcon platform. We were impressed by the detection quality, which is noticeably high with minimal false positives.

  • CrowdStrike Threat Graph correlates endpoint telemetry, workload data, and threat intelligence with AI-powered analytics, processing trillions of events per week in real time
  • Achieved 100% detection, 100% protection, and zero false positives in the 2025 MITRE ATT&CK Enterprise Evaluations
  • Vulnerability management runs continuously at runtime rather than on a scheduled scan cycle, saving operational overhead
  • Minimal agent footprint with low resource impact
  • Covers Linux, Windows, containers, Kubernetes, and serverless environments

The agent footprint stays minimal, and detection accuracy gets consistent praise. The management console is intuitive, and integrating with existing EDR and SIEM setups delivers both technical and operational value. Something to be aware of is that cost is the recurring concern; this sits at the higher end of the market.

We think Falcon Cloud Security works best for organizations already using CrowdStrike endpoint protection or those prioritizing detection accuracy over cost optimization. The unified endpoint and workload visibility is a real advantage if you’re consolidating security tools. The MITRE results back up the detection claims, which is good to see.

Strengths
Threat Graph correlates endpoint and workload telemetry for accurate detection
100% detection and zero false positives in 2025 MITRE evaluations
Continuous runtime vulnerability monitoring without repeated scanning
Covers Linux, Windows, containers, Kubernetes, and serverless
Cautions
Users report higher pricing compared to lighter alternatives
Reviews flag limited functionality when systems operate offline
5.

Microsoft Defender for Cloud

Microsoft Defender for Cloud Logo
Microsoft

Best for Microsoft-centric organizations needing multi-cloud coverage

Microsoft Defender for Cloud secures containerized assets and workloads across Azure, AWS, and GCP from development through runtime. It combines security posture management with workload protection, vulnerability scanning, and compliance monitoring. For organizations with Microsoft-centric environments, implementation on Azure is essentially automatic, which is a significant advantage.

  • Native Azure integration requires zero manual setup
  • Centralized dashboard consolidates findings, recommendations, and compliance gaps with clear prioritization, plus a task assignment workflow for delegating remediation
  • Secure score provides a useful benchmark for tracking posture improvements over time
  • Attack path analysis helps you understand how vulnerabilities chain together rather than treating each finding in isolation
  • Protection extends to AWS and GCP workloads, VMs, containers, databases, and on-premises servers

Multi-cloud coverage and the CI/CD pipeline security integration get positive marks. Microsoft Sentinel integration enables advanced SIEM capabilities with custom incident response workflows. Something to be aware of is that dashboard status updates lag behind actual remediation; you fix something, but it still shows pending. Alert fine-tuning is time-consuming, and integration with non-Microsoft tools feels less polished.

We think Defender for Cloud works best for organizations already invested in Microsoft infrastructure or those needing multi-cloud coverage without deploying separate tools for each environment. The on-premises VM support is a bonus if you’re managing hybrid infrastructure. If you’re not in the Microsoft ecosystem, the integration friction with third-party tools is worth considering.

Strengths
Native Azure integration requires zero manual setup
Extends protection across AWS and GCP for true multi-cloud coverage
Secure score tracks posture improvements with clear metrics
Supports on-premises VMs alongside cloud workloads
Cautions
Customers note dashboard status updates lag behind actual remediation
Users report alert fine-tuning requires significant time investment
6.

Orca Security CWPP

Orca Security CWPP Logo
Orca Security

Best for Teams prioritizing agentless operational simplicity

Orca Security CWPP takes an agentless-first approach to cloud workload protection for VMs, containers, and Kubernetes. It uses patented SideScanning technology to read runtime block storage out-of-band, which means no agents to deploy, patch, or manage on production workloads. We were impressed by the time-to-value; within minutes, you’re seeing prioritized risks across vulnerabilities, malware, misconfigurations, and lateral movement paths.

  • SideScanning connects via cloud APIs, snapshots workload block storage, and reconstructs file systems in a read-only view
  • Unified data model ranks risks by actual exploitability rather than raw severity scores
  • Sensitive data detection covers PII and PHI, adding compliance context to vulnerability prioritization
  • Expanded with an eBPF-based sensor for hybrid and private cloud environments, addressing gaps beyond public cloud
  • Unified attack path analysis surfaces lateral movement risk

API integration is straightforward, and scheduled reporting handles routine tasks cleanly. Dedicated success engineers maintain active feedback loops. Orca was named a Strong Performer in the Forrester Wave for CNAPP Q1 2026. With that said, dashboard customization is limited for organization-specific KPIs, and some teams find terminated containers persist in the platform, which can skew vulnerability metrics.

We think Orca works best for teams prioritizing operational simplicity who want broad visibility without agent management overhead. If agent deployment is a non-starter for your environment, the agentless approach delivers real value. Organizations needing highly customized reporting or running significant hybrid infrastructure should factor in the dashboard constraints.

Strengths
Agentless architecture eliminates deployment and maintenance overhead
Scans runtime block storage without impacting workload performance
Prioritizes risks by exploitability with unified attack path analysis
Detects sensitive data including PII and PHI across cloud assets
Cautions
Reviews flag dashboard customization is severely limited for custom KPIs
Customers note terminated containers persist and skew vulnerability metrics
7.

Sysdig Secure

Sysdig Secure Logo
Sysdig

Best for Teams wanting runtime-informed risk prioritization

Sysdig Secure is a CNAPP platform combining vulnerability management, posture management, and cloud detection and response. What separates Sysdig from scan-only platforms is its use of runtime data to prioritize risks, showing you what’s actively exploitable rather than everything theoretically vulnerable. Sysdig was named a Leader in the Forrester Wave for CNAPP Q1 2026, which is good to see.

  • Runtime Insights uses actual runtime data to rank risks, dramatically reducing noise when triaging findings
  • Cloud Attack Graph correlates data across sources to surface dangerous attack paths
  • Powered by Falco, the open source runtime detection engine, extending visibility from build through runtime
  • Sysdig Sage, the AI-powered security assistant, analyzes findings in context and delivers step-by-step remediation guidance
  • Cloud detection and response stops attacks in real time across cloud environments

Vulnerability detection, compliance violation identification, and the platform’s detection and response capabilities get strong marks. Real-time detection stops attacks with solid coverage across cloud environments. Something to be aware of is that scaling user and team management requires custom tooling, and alert export to ticketing systems lacks full platform coverage.

We think Sysdig fits teams that want runtime-informed risk prioritization rather than static-only approaches. If you need detection and response alongside posture management, the combination is strong. The Falco foundation gives confidence in the detection engine’s maturity, and the AI assistant is a practical addition for reducing triage time.

Strengths
Runtime Insights prioritizes risks based on actual exploitability data
Cloud Attack Graph correlates threats across multiple data sources
Powered by Falco, the mature open source detection engine
AI-powered Sysdig Sage assists with contextual triage and remediation
Cautions
No native tools for managing large team structures at scale
Users report alert export to ticketing systems lacks full coverage
8.

Trend Micro Trend Vision One

Trend Micro Trend Vision One Logo
Trend Micro

Best for Organizations with heterogeneous and legacy OS environments

Trend Vision One delivers container security with image scanning, policy-based admission control, and runtime detection and response. It extends protection from build through runtime using a single agent across multiple security modules. We think the coverage range stands out here; it’s particularly strong for legacy Windows, Unix, and Linux servers that other cloud-native platforms often neglect.

  • Unified console and single agent simplify deployment across diverse environments
  • Zero-day protection scans container images during build and maintains continuous monitoring post-deployment
  • Policy-based image management lets security teams create rules ensuring only approved containers reach Kubernetes
  • XDR provides the full story when something triggers: where it came from, what it attempted, and which other machines might be affected
  • Strong legacy OS support for Windows, Unix, and Linux servers

Developers get quick feedback on threats and vulnerabilities without waiting for separate scan cycles. Cross-layer threat tracking connects activities across the environment rather than treating each alert in isolation. With that said, the new portal navigation frustrates some teams; finding what you need takes longer than expected. Configuration changes can take at least an hour to reach endpoints, and the usage-based pricing model draws complaints.

We think Vision One works best for organizations with heterogeneous infrastructure needing unified visibility across legacy and modern workloads. If you’re running older operating systems alongside containers, the coverage range matters. The XDR context during investigation is a real strength, but plan for some friction with the portal redesign.

Strengths
Single agent covers multiple security modules from one console
Strong legacy OS support for Windows, Unix, and Linux servers
XDR provides cross-layer context during threat investigation
Policy-based admission control ensures only approved containers deploy
Cautions
Reviews mention new portal navigation slows daily operations
Customers note configuration changes take at least an hour to reach endpoints
9.

Wiz Runtime Sensor

Wiz Runtime Sensor Logo
Google Cloud

Best for Teams running dynamic Kubernetes wanting real-time detection

Wiz Runtime Sensor is an eBPF-based agent for security teams running Linux hosts and Kubernetes clusters who need real-time threat detection without the overhead of traditional agents. It slots into Wiz’s broader CNAPP platform to add runtime visibility alongside existing posture management. Google completed its acquisition of Wiz in March 2026 for $32 billion; Wiz maintains its brand and continues operating across all cloud environments.

  • Monitors processes, network connections, file activity, and system calls in real time with approximately 1% CPU overhead and 11-millisecond alert latency
  • Toxic combination engine surfaces exploitable risks rather than flooding you with noise, so engineering teams can triage independently
  • Security graph connects issues end-to-end for context rather than just alerts
  • eBPF-based design avoids the overhead of traditional agents
  • Slots into Wiz’s broader CNAPP platform alongside posture management

Setup time is minimal for a CNAPP platform, and the security graph gets consistent praise for connecting issues end-to-end. Customer success support also gets positive feedback. Something to be aware of is that vulnerability tracking can struggle with autoscaling resource churn, and initial telemetry volume can overwhelm new users during onboarding.

We think this works best if you’re already invested in Wiz or evaluating unified CNAPP platforms. The runtime sensor adds meaningful depth to cloud security posture. Wiz was named a Leader in the Forrester Wave for CNAPP Q1 2026, which backs up the platform’s maturity. For teams running dynamic Kubernetes environments and wanting real-time detection with minimal performance impact, this deserves serious consideration.

Strengths
eBPF-based design keeps resource overhead to approximately 1% CPU
Toxic combination engine prioritizes exploitable risks over alert noise
Security graph provides end-to-end context for faster investigation
11-millisecond alert latency for real-time threat detection
Cautions
Reviews flag vulnerability tracking struggles with autoscaling resource churn
Users report initial telemetry volume can overwhelm during onboarding

Application Security Pricing

Runtime security pricing is mostly quote-based, scoped to workloads, nodes, or assets protected. Where a vendor publishes a model we have noted it below; the enterprise CNAPP and workload protection platforms typically require contacting sales for a tailored quote.

Product Starting Price Billing Link
Aikido Security
$350/month (Pro $700/month); free tier for up to 2 users
Monthly or annual
Aqua Security CWPP
Contact for quote
Not disclosed
Check Point CloudGuard for Workload Protection
Contact for quote
Annual
CrowdStrike Falcon Cloud Security CWP
Contact for quote
Annual
Microsoft Defender for Cloud
Usage-based (per resource/hour)
Pay-as-you-go
Orca Security CWPP
Contact for quote
Annual
Sysdig Secure
Contact for quote
Annual
Trend Micro Trend Vision One
Usage-based (credit model); contact for quote
Annual
Wiz Runtime Sensor
Contact for quote (workload-based)
Annual

Application Security Checklist

These are the questions and operational steps we recommend working through when selecting and deploying a runtime security tool, whichever vendor you choose.

Agent-based and eBPF approaches see deep workload context but add resource consumption, while agentless scanning is lighter but captures less live behavior, so match the trade-off to your infrastructure maturity.

The difference between 100 daily alerts and 10 meaningful ones decides whether your team can respond, so favor behavioral analysis and exploitability ranking that surface the attacks that matter.

Runtime security earns its place by blocking exploitation as it happens and enforcing immutability, not only reporting after the fact, so check what the platform can actively stop.

Kernel-level visibility into processes, system calls, and network activity catches zero-day exploitation and lateral movement that signature-only tools miss.

Automatic reconstruction of what a workload did, and which other systems were affected, removes the manual log correlation that slows incident response.

Runtime tools that understand privilege usage and access controls provide better context for incident response and catch lateral movement that crosses identity boundaries.

Clear prioritization plus ticketing and SIEM integration is what turns detections into fixes, rather than another dashboard nobody acts on.

If you run across AWS, Azure, and GCP, confirm the tool protects them consistently without forcing you to maintain separate policies per provider.

Confirm the agent or sensor adds minimal CPU and latency, since runtime protection that degrades production performance gets disabled.

Runtime security catches what build-time controls and access management miss, so keep investing in hardening and least privilege rather than relying on detection alone.

The Bottom Line

Runtime security has matured significantly, but the platforms that survive long-term in production are the ones that treat alert quality as the primary feature, not detection count. Most teams overestimate how many alerts they can effectively triage.

Your team’s focus should remain on infrastructure hardening and access control. Runtime detection is the backstop when those controls fail, not the primary security control, so choose platforms with alert design that supports your incident response workflows rather than creating busywork.

If you want runtime protection as a developer-friendly WAF alternative, Aikido Security blocks injection and bot attacks in real time at an accessible price. For cloud-native workload protection at scale, Aqua Security CWPP and Sysdig Secure pair eBPF behavioral detection with drift prevention and runtime-informed prioritization. For detection accuracy backed by MITRE results, CrowdStrike Falcon Cloud Security fits teams already in the Falcon ecosystem.

For agentless operational simplicity, Orca Security gets you to value in minutes, while Wiz Runtime Sensor adds real-time eBPF detection within a broader CNAPP. Microsoft Defender for Cloud suits Microsoft-centric and multi-cloud estates, Check Point CloudGuard fits existing Check Point shops, and Trend Micro Trend Vision One stands out for legacy OS coverage. Read the individual reviews above to match the right platform to your deployment model and operational capacity.

Everything You Need to Know About Runtime Security Tools (FAQs)

A runtime security tool is a software solution that is designed to support the protection of applications and systems against security threats and vulnerabilities during runtime. This is the period of time where the software is executing and interacting with the environment. These tools help by monitoring and analyzing application behavior in real-time to detect and block any malicious activity, abnormal behavior, and unauthorized access that might indicate a security breach has occurred.

Primarily used by developers, application security experts, and IT administrators, runtime security tools can dramatically reduce the risk of data breaches and other harmful cyber-attacks by adding an additional layer of protection. They monitor for abnormalities and violations in the application’s behavior and can automatically enforce rules and policies to protect sensitive data. They make the task of maintaining and securing an application’s runtime environment more manageable and less risky.

Runtime Security Tools are implemented into an application’s runtime environment to monitor, detect, and prevent threats in real-time. They work by analyzing the behavior of processes, memory usage, and network connections within the runtime environment. The tool notifies the relevant team when it detects abnormal activity that could indicate a security vulnerability or breach.

A significant advantage of Runtime Security Tools is its ability to operate continuously, allowing for constant protection and immediate threat response. They can understand the application’s normal behavior and flag any abnormal activities that could be indicative of an attempted breach or exploitation. These tools also improve incident response by providing organizations with a means of responding quickly and effectively to security incidents, minimizing their impacts, and mitigating the risk to data, systems, and users in the process.

Further benefits of utilizing these tools include:

  1. Compliance Assurance. These tools help organizations to meet regulatory requirements by enforcing necessary security policies and overseeing application behavior to scan for compliance violations.
  2. Reduced Security Costs. Proactive detection and prevention of security threats during runtime means that organizations can better avoid the financial and reputational costs that come with security breaches, data breaches, and compliance violations.

When choosing a runtime security tool, you should consider these key features:

  1. Real-time Threat Detection. A good runtime security tool should provide users with continuous monitoring and analysis of application behavior to allow for this detection of threats in real-time, as this helps to minimize detection and response times for security incidents.
  2. Anomaly Detection. Anomaly detection works by continuously monitoring application behavior and system activity. It does this to detect deviations from normal patterns or expected behaviors, which can then be flagged as potential security threats or vulnerabilities.
  3. Dynamic Policy Enforcement. The runtime security tool you consider implementing should be capable of enforcing dynamic security policies according to the application’s behavior and context. This is important as it allows organizations to adapt their security posture in real-time, in response to emerging threats and vulnerabilities.
  4. Integration. Any runtime security tools you use should easily integrate with your current software and IT systems to allow for seamless functioning. This means organizations can better leverage the capabilities of existing security tools and platforms, enhancing their overall security posture.
  5. Alert Prioritization. The runtime security tool you choose should intelligently prioritize alerts to help focus your security team’s efforts on resolving the most critical threats first. This is useful as it helps security teams to manage their workload more efficiently and respond to the most pressing security threats promptly.
  6. Detailed Logging & Reporting. Detailed logging and reporting are necessary for providing organizations with visibility into security events. This lets them track and analyze security-related incidents and generate audit trails for audit purposes.
  7. Scalability. As your business grows, the tool should be able to scale to accommodate increased data and system complexity.

Application Security Resources

Further reading on application security from Expert Insights — buyers' guides, comparison articles, and platform-specific shortlists.

Written By Written By
Joel Witts
Joel Witts Content Director

Joel is the Director of Content and a co-founder at Expert Insights; a rapidly growing media company focussed on covering cybersecurity solutions.

He’s an experienced journalist and editor with 8 years’ experience covering the cybersecurity space. He’s reviewed hundreds of cybersecurity solutions, interviewed hundreds of industry experts and produced dozens of industry reports read by thousands of CISOs and security professionals in topics like IAM, MFA, zero trust, email security, DevSecOps and more.

He also hosts the Expert Insights Podcast and co-writes the weekly newsletter, Decrypted. Joel is driven to share his team’s expertise with cybersecurity leaders to help them create more secure business foundations.

Technical Review Technical Review
Laura Iannini
Laura Iannini Cybersecurity Analyst

Laura Iannini is a Cybersecurity Analyst at Expert Insights. With deep cybersecurity knowledge and strong research skills, she leads Expert Insights’ product testing team, conducting thorough tests of product features and in-depth industry analysis to ensure that Expert Insights’ product reviews are definitive and insightful.

Laura also carries out wider analysis of vendor landscapes and industry trends to inform Expert Insights’ enterprise cybersecurity buyers’ guides, covering topics such as security awareness training, cloud backup and recovery, email security, and network monitoring. Prior to working at Expert Insights, Laura worked as a Senior Information Security Engineer at Constant Edge, where she tested cybersecurity solutions, carried out product demos, and provided high-quality ongoing technical support.

Laura holds a Bachelor’s degree in Cybersecurity from the University of West Florida.