Top AI Security Solutions

Most teams discover risky AI usage during audit prep or incident forensics, not from SIEM alerts. Working across different tech companies, we have seen three patterns trip up even mature programs: OAuth scope abuse in SaaS to SaaS connections, LLM prompt injection chaining into internal tools, and malicious open source packages pulled into pipelines. The average breach climbed to $4.88 million in 2024, per IBM's Cost of a Data Breach Report, and security AI cut costs materially for organizations that deployed it extensively. We will show where AI security tools reduce real risk and where they can waste budget if you pick on slideware alone.

Worldwide information security spending is projected to reach $212 billion in 2025, a 15.1 percent jump, and Gartner expects 17 percent of cyberattacks to involve generative AI by 2027, which makes AI security strategy urgent rather than optional, according to a recent Gartner forecast. This guide covers four platforms that consistently delivered on real deployments. You will learn how each tool addresses a specific AI risk surface, what to expect on integration and support, and where pricing lands.

Reco Dynamic AI SaaS Security

Discovery and control for SaaS and AI sprawl with identity context and anomaly detection. Helps security teams find shadow AI and risky SaaS to SaaS connections faster than manual hunting.

• Best for: Security teams struggling with shadow AI and SaaS sprawl across business units.
• Key Features:
  • Continuous discovery across sanctioned and unsanctioned SaaS, plus AI tools, with identity and behavior context, as described by buyers on G2.
  • Dynamic anomaly detection for multi SaaS environments.
  • Rapid integration coverage growth backed by recent funding momentum reported by Insight Partners and Newswire.
• Why we like it: From our experience in the startup ecosystem, Reco's identity centric view reduces alert chasing and shortens the time to find risky OAuth connections, which often get missed by generic CASB rules.
• Notable Limitations:
  • Coverage for highly customized or niche SaaS can require extra tuning, per buyer feedback.
  • Like other anomaly systems, teams report the need for care to avoid noisy alerts early on.
• Pricing: Pricing not publicly available. Contact Reco for a custom quote; G2 lists "Contact Us" rather than published tiers.

Checkmarx One

Cloud native application security platform that covers code, supply chain, APIs, containers, and infrastructure from code to deployment. Backed by industry recognition across AST and supply chain categories.

• Best for: Engineering led organizations needing unified SAST, SCA, API, IaC, container, and supply chain checks as part of CI pipelines.
• Key Features:
  • Unified AST coverage, including SAST, DAST, API security, SCA, IaC, and container scanning, highlighted in a recent Business Wire release.
  • Software supply chain security with a "Malicious Packages" add on listed on AWS Marketplace.
  • ASPM style correlation recognized in independent coverage of Checkmarx's platform approach by GigaOm via Business Wire.
• Why we like it: After helping startups scale, a single platform that flags exploitable risk across code and dependencies reduces vendor sprawl and focuses remediation where it matters.
• Notable Limitations:
  • Buyers cite scan speed and false positives as areas to watch, and note premium pricing, per aggregated feedback on PeerSpot and Capterra.
  • Reporting customization and occasional stability concerns are also noted by users on AWS Marketplace reviews.
• Pricing: Public pricing available via AWS Marketplace, for example CxOne Start with SAST at $1,035 per license per year and add ons such as API Security at $276. Minimum deal sizes and service package terms are listed on the same page.

AIShield

End to end AI asset protection that scans models, runs automated red teaming, and enforces runtime guardrails. Available as a managed SaaS offering with integrations into enterprise stacks.

• Best for: Teams deploying machine learning and LLMs that need model vulnerability assessments, AI red teaming, and runtime policy controls.
• Key Features:
  • Model vulnerability scanning, intrusion detection, and endpoint defense against attacks like model theft or data poisoning, detailed on the AWS Marketplace listing.
  • Support for 200 plus attack types across varied model modalities, plus SIEM integrations such as Splunk.
  • Industry recognition for generative AI guardrails, as covered in PRWeb's CES Innovation Awards writeup.
• Why we like it: Working with teams rolling out GenAI, pre deployment red teaming plus runtime policy enforcement cuts the most expensive model failure modes before they hit production.
• Notable Limitations:
  • Marketplace listing shows no published user reviews yet, so buyer proof points are limited on that channel.
  • As with most AI security tools, coverage and efficacy vary by model type and integration path, which means pilots should be scoped carefully against your model inventory, a caution reinforced by the OWASP LLM Top 10.
• Pricing: Public tiers on AWS Marketplace show monthly bundles, for example Standard at $6,500 for two assessments per month and Advanced at $60,000 for 24 assessments, with a free trial option.

ReliaQuest GreyMatter

Open XDR platform with agentic AI for automated detection, investigation, and response across your existing stack. Backed by strong investor validation and broad ecosystem integrations.

• Best for: Enterprises that want to automate SecOps across 200 plus tools without replacing their stack.
• Key Features:
  • Broad integrations and XDR automation across the enterprise, cited in funding coverage by Reuters and The Wall Street Journal.
  • Agentic AI investigations that aim to process alerts faster and improve accuracy, highlighted in industry press such as SC Media.
  • Customer sentiment recognition in Gartner Peer Insights Voice of the Customer for MDR, covered by Business Wire.
• Why we like it: After running side by side with MDR tools, being able to keep your SIEM, EDR, and cloud controls while layering automated investigations is a faster path to value.
• Notable Limitations:
  • Buyers note add on costs and that features accumulate cost quickly, and some reviews mention occasional alert delays or duplicate escalations, based on G2 comparisons and AWS Marketplace reviews.
  • Limited public pricing transparency, with "Get a quote" the common route.
• Pricing: Pricing not publicly available. Contact ReliaQuest for a custom quote; G2 lists no published entry level pricing and no trial information.

AI Security Tools Comparison: Quick Overview

AI Security Platform Comparison: Key Features at a Glance

AI Security Deployment Options

AI Security Strategic Decision Framework

AI Security Solutions Comparison: Pricing and Capabilities Overview

Figures vary by scope, users, and add ons. Use marketplace listings for directional estimates and request quotes for accurate totals.

Problems and Solutions

• Problem: Shadow AI is exploding inside companies, with the average organization seeing 223 AI related data policy violations per month and nearly half of users turning to personal AI apps, per the latest Netskope Cloud and Threat Report 2026 and coverage in TechRadar Pro.

  • Reco maps unsanctioned AI usage and risky OAuth connections across SaaS, based on buyer reports of shadow AI and anomaly detection.
  • ReliaQuest centralizes detections from your stack and applies agentic AI to triage alerts faster.

• Problem: Software supply chain attacks are rising, with malicious open source packages growing 156 percent year over year and total malware packages tracked now in the hundreds of thousands, according to Sonatype's 2024 report and follow on research summarized by GlobeNewswire. The 2024 XZ Utils backdoor showed how trust can be subverted upstream, covered in depth by Wired.

  • Checkmarx One's SCA plus a "Malicious Packages" add on helps block tainted components before they land in production.
  • ReliaQuest can monitor and correlate indicators from your repos and registries across integrated tools to accelerate response.

• Problem: LLM specific risks such as prompt injection, model theft, and training data poisoning are now formalized in the OWASP Top 10 for LLM Applications, and governance expectations are rising under the NIST AI RMF.

  • AIShield provides model scanning, AI red teaming, and runtime policy enforcement with SIEM integrations.
  • Reco addresses the governance side by discovering shadow AI tools connected into SaaS data and identities.

The Bottom Line on AI Security in 2026

You think you know where your AI risks are until a quarterly review shows hundreds of unsanctioned prompts hitting personal apps. Costs are climbing, yet security AI and automation can lower breach impact, with organizations that deploy them extensively saving up to millions, per IBM's 2024 report. If your biggest gap is shadow AI and SaaS sprawl, start with Reco. If you ship software at scale, anchor on Checkmarx One for code to cloud coverage. If you run models in production, make AIShield part of your MLSecOps and LLMSecOps program. If you need faster investigations across a complex stack, ReliaQuest's GreyMatter brings automation without ripping and replacing tools. Pick for your risk surface, pilot against measurable outcomes, and avoid paying for features you will not use.