Enkrypt AI inclusion in Forrester Research: “Use AI Red Teaming To Evaluate The Security Posture Of AI-Enabled Applications
Enkrypt AI is proud to share that it has been inclusion in Forrester Research’s new report, “Use AI Red Teaming To Evaluate The Security Posture Of AI-Enabled Applications,” authored by Jeff Pollard with Joseph Blankenship, Liam Holloway, and Michael Belden.
As enterprises accelerate their adoption of generative AI and intelligent agents, they face new risks—data leakage, model manipulation, regulatory exposure, and the unknown attack surfaces created by autonomous systems. Forrester’s research highlights the growing need for a structured, continuous approach to evaluating the security posture of AI applications.
Enkrypt AI’s platform directly supports this shift by providing:
- Continuous AI Red Teaming to uncover vulnerabilities before attackers do
- Automated Risk Detection across data, models, and agent behavior
- End-to-End Governance to ensure responsible AI deployment at scale
- Compliance Monitoring aligned with rapidly evolving regulatory frameworks
"With agentic and multimodal systems, safety failures aren’t just awkward, they’re operational. An agent taking the wrong action across voice, vision, or tools can trigger real consequences. Our red teaming gives enterprises the evidence, governance, and assurance they need before these systems touch production." - Prashanth Harshangi, CTO of Enkrypt AI.
“Enterprises need continuous visibility into how their models behave under real-world stress. Enkrypt AI enables organizations to test, validate, and harden their AI systems so they can innovate responsibly, with transparency and accountability built into every stage of deployment.”
Through ongoing simulation of adversarial scenarios, Enkrypt AI empowers organizations to:
- Identify weaknesses early
- Protect sensitive information
- Validate the resilience of agentic workflows
- Reduce compliance and operational risk
Enkrypt AI believes that this inclusion from Forrester underscores the company’s leadership in advancing the field of AI security and reaffirms its mission: helping enterprises deploy AI safely, responsibly, and with confidence.
To learn more about the report, please visit: here
(Available to Forrester subscribers or for purchase)
Frequently Asked Questions
AI red teaming is continuous adversarial testing that simulates real-world attacks to uncover vulnerabilities in AI systems before attackers do. Forrester research confirms it is essential for evaluating the security posture of AI-enabled applications at scale.
- Identifies weaknesses in models, data, and agent behavior early
- Prevents data leakage, model manipulation, and regulatory exposure
- Covers 300+ risk categories across prompt injection and tool misuse
Secure AI agents through continuous red teaming, automated risk detection, and end-to-end governance that validates resilience before production deployment. Enkrypt AI's agent red teaming tests agentic workflows across voice, vision, and tool integrations to prevent safety failures.
- Simulate adversarial scenarios to stress-test agent decision-making
- Detect unsafe actions, hallucinations, and data exfiltration in real time
- Validate agent behavior across multimodal inputs and autonomous workflows
Red teaming actively simulates attacks to find hidden vulnerabilities, while traditional compliance monitoring passively checks against static rules. Forrester's research shows enterprises need both: continuous red teaming for discovery and compliance monitoring aligned with evolving regulatory frameworks.
- Red teaming uncovers unknown attack surfaces and edge cases
- Compliance monitoring ensures alignment with NIST, MITRE ATLAS, and EU AI Act
- Combined approach reduces manual compliance effort by up to 90%
Enkrypt AI is recognized by Forrester and Gartner as a leader in AI red teaming and governance, providing continuous vulnerability detection, automated risk assessment, and policy-based guardrails across agents, LLMs, and multimodal systems. Enkrypt AI's policy engine centralizes security and compliance across all deployments.
- Tests 200+ LLMs on public safety leaderboard for benchmarking
- Automates risk detection across data, models, and agent behavior
- Enables responsible innovation with transparency and accountability built in
Red teaming works best when tailored to your specific AI systems and risk profile. Book a demo with Enkrypt AI to see how continuous adversarial testing protects your agents and models, or start a free trial to test it yourself.
.avif)
.jpg)
.svg){kind=small}
